Hugging Face's logo

Datasets:
CFDML
/
TransportBench

Modalities:
Text
License:
Dataset card Data Studio Files
xet
 Community
1
T0NGXU commited on
Commit
5c2eb64
·
verified ·
1 Parent(s): 0c9b1c2

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +3 -0
  2. CylinderKnMa/Kn0p28/simulation0585_Kn0p28Ma5p4/output/grid.300000.dat +3 -0
  3. CylinderKnMa/Kn0p28/simulation0586_Kn0p28Ma5p5/output/grid.300000.dat +3 -0
  4. CylinderKnMa/Kn0p28/simulation0587_Kn0p28Ma5p6/output/grid.300000.dat +3 -0
  5. CylinderKnMa/Kn0p32/simulation0660_Kn0p32Ma2p9/output/lambdakn.300000.dat +0 -0
  6. CylinderKnMa/Kn0p32/simulation0660_Kn0p32Ma2p9/output/surf.300000.dat +209 -0
  7. CylinderKnMa/Kn0p32/simulation0660_Kn0p32Ma2p9/surf/Surf_300000.vtu +38 -0
  8. CylinderKnMa/Kn0p32/simulation0660_Kn0p32Ma2p9/surf/geom.surf +610 -0
  9. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Grid.pvd +9 -0
  10. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Lambda.pvd +9 -0
  11. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Lambda/Lambda_0_300000.vtu +0 -0
  12. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Lambda/Lambda_1_300000.vtu +0 -0
  13. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Lambda/Lambda_2_300000.vtu +27 -0
  14. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Lambda/Lambda_300000.pvtu +21 -0
  15. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Lambda/Lambda_3_300000.vtu +27 -0
  16. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Surf.pvd +9 -0
  17. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/config.txt +78 -0
  18. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/cylinder.surf +410 -0
  19. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/gas.species +14 -0
  20. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/gas.vhs +9 -0
  21. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/grid/Grid_0_300000.vtu +0 -0
  22. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/grid/Grid_1_300000.vtu +0 -0
  23. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/grid/Grid_2_300000.vtu +0 -0
  24. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/grid/Grid_300000.pvtu +29 -0
  25. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/grid/Grid_3_300000.vtu +35 -0
  26. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/grid/final-grid.dat +0 -0
  27. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/log.sparta +318 -0
  28. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/mir.txt +3 -0
  29. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/output/lambdakn.300000.dat +0 -0
  30. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/output/surf.300000.dat +209 -0
  31. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/runmpirun128.sh +18 -0
  32. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/runmpirun64.sh +18 -0
  33. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/slurm-28429537.out +204 -0
  34. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/surf/Surf_300000.vtu +38 -0
  35. CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/surf/geom.surf +610 -0
  36. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Grid.pvd +9 -0
  37. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Lambda.pvd +9 -0
  38. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Lambda/Lambda_0_300000.vtu +0 -0
  39. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Lambda/Lambda_1_300000.vtu +0 -0
  40. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Lambda/Lambda_2_300000.vtu +27 -0
  41. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Lambda/Lambda_300000.pvtu +21 -0
  42. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Lambda/Lambda_3_300000.vtu +27 -0
  43. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Surf.pvd +9 -0
  44. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/config.txt +78 -0
  45. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/cylinder.surf +410 -0
  46. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/gas.species +14 -0
  47. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/gas.vhs +9 -0
  48. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/grid/Grid_0_300000.vtu +0 -0
  49. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/grid/Grid_1_300000.vtu +0 -0
  50. CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/grid/Grid_2_300000.vtu +0 -0
.gitattributes CHANGED
@@ -436,3 +436,6 @@ CylinderKnMa/Kn0p28/simulation0581_Kn0p28Ma5p0/output/grid.300000.dat filter=lfs
436
  CylinderKnMa/Kn0p28/simulation0582_Kn0p28Ma5p1/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
437
  CylinderKnMa/Kn0p28/simulation0583_Kn0p28Ma5p2/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
438
  CylinderKnMa/Kn0p28/simulation0584_Kn0p28Ma5p3/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
 
 
 
 
436
  CylinderKnMa/Kn0p28/simulation0582_Kn0p28Ma5p1/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
437
  CylinderKnMa/Kn0p28/simulation0583_Kn0p28Ma5p2/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
438
  CylinderKnMa/Kn0p28/simulation0584_Kn0p28Ma5p3/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
439
+ CylinderKnMa/Kn0p28/simulation0585_Kn0p28Ma5p4/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
440
+ CylinderKnMa/Kn0p28/simulation0586_Kn0p28Ma5p5/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
441
+ CylinderKnMa/Kn0p28/simulation0587_Kn0p28Ma5p6/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
CylinderKnMa/Kn0p28/simulation0585_Kn0p28Ma5p4/output/grid.300000.dat ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aafdb1b40ae0e4977fb5df45b82b5140aa8c24319e73653a8f708eec041cae96
3
+ size 16009210
CylinderKnMa/Kn0p28/simulation0586_Kn0p28Ma5p5/output/grid.300000.dat ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b927c32b201558bab99bea19bd8a052d4a5b0a0e69c92c747998ac1c108829d8
3
+ size 16009210
CylinderKnMa/Kn0p28/simulation0587_Kn0p28Ma5p6/output/grid.300000.dat ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:963b742e4bb4ea21c18b63803120ceaf1800fed2b3f9ee6d7a4854e74012d068
3
+ size 16009210
CylinderKnMa/Kn0p32/simulation0660_Kn0p32Ma2p9/output/lambdakn.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0660_Kn0p32Ma2p9/output/surf.300000.dat ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ITEM: TIMESTEP
2
+ 300000
3
+ ITEM: NUMBER OF SURFS
4
+ 200
5
+ ITEM: BOX BOUNDS oo oo pp
6
+ -5 6
7
+ -5 5
8
+ -0.5 0.5
9
+ ITEM: SURFS id v1x v1y v2x v2y f_2[1] f_2[2] f_2[3] f_2[4] f_2[5] f_2[6] f_2[7] f_2[8] f_2[9] f_2[10] f_2[11]
10
+ 1 0.5 0 0.49975 -0.015705 0.00398 0.051824 -0.051817 0.00081401 -1.5735e-06 -0.00010016 -0.00081394 1.1213e-05 4.4715 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.09724 1.3298 0.83145 -1.0378 0.18933 0.15168 0.016034 -0.013919 149.17 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.00383 0.049735 -0.04968 0.0023428 -1.4639e-05 -0.00031042 -0.00078057 3.1924e-05 4.5218 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.09292 1.2669 0.76069 -1.0131 0.19866 0.14916 0.015069 -0.013571 140.91 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.00361 0.044214 -0.044078 0.003469 -5.2774e-05 -0.00067055 -0.00069318 4.3956e-05 3.4412 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.08847 1.2074 0.69426 -0.98783 0.20895 0.14685 0.014187 -0.01321 140.56 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.00406 0.052518 -0.052201 0.005763 0.00032023 0.0029006 -0.00081491 0.00013608 2.6846 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.08501 1.1505 0.63166 -0.96161 0.19837 0.13031 0.013038 -0.013057 127.55 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.00345 0.043405 -0.042972 0.0061158 -0.00023204 -0.0016304 -0.00067862 7.0454e-05 2.831 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.08263 1.1286 0.58968 -0.96227 0.19783 0.12123 0.01237 -0.01321 135.57 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.00373 0.048311 -0.047592 0.0083061 -8.0293e-05 -0.00046006 -0.00074881 0.00012324 2.6545 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.07731 1.0492 0.51984 -0.91138 0.20689 0.11801 0.011415 -0.012462 120.32 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.00376 0.049044 -0.048025 0.0099455 -0.00015825 -0.00076416 -0.00075683 0.00014421 3.2658 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.07339 0.99527 0.46571 -0.87958 0.21046 0.11143 0.010621 -0.012066 118.64 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.0033 0.041609 -0.040459 0.0097134 -0.00019993 -0.00083276 -0.00063864 0.00013949 3.0894 0 0
25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.06821 0.93379 0.41081 -0.83857 0.19715 0.096584 0.0095495 -0.011655 108.56 0 0
26
+ 9 0.48429 -0.12434 0.48015 -0.1395 0.00333 0.043499 -0.041958 0.011478 0.00015738 0.00057527 -0.00065657 0.00018933 3.9008 0 0
27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.0655 0.89371 0.36778 -0.81453 0.19785 0.089334 0.0088845 -0.011391 105.56 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.0032 0.039495 -0.037749 0.011613 -0.00059986 -0.0019499 -0.00060235 0.00015178 3.3438 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.06343 0.8556 0.32742 -0.79047 0.20062 0.083098 0.0082941 -0.011111 100.97 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.00331 0.040717 -0.038522 0.013189 0.00079758 0.0023295 -0.00059255 0.00024376 2.5954 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.05866 0.80123 0.28322 -0.74951 0.20045 0.075743 0.0075971 -0.010583 99.977 0 0
32
+ 12 0.47044 -0.16937 0.46489 -0.18406 0.00345 0.042998 -0.040222 0.015199 0.00031051 0.00082173 -0.0006269 0.00025164 2.5478 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.05523 0.73712 0.23876 -0.69737 0.20395 0.069827 0.0069538 -0.0098571 85.584 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.00308 0.038564 -0.035628 0.014758 0.00035493 0.00085687 -0.00055405 0.00024526 4.2337 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.05253 0.70491 0.20727 -0.67374 0.19828 0.060999 0.0063701 -0.0096246 81.746 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.00295 0.036502 -0.033268 0.015021 0.0017892 0.0039625 -0.00049445 0.00029818 2.8457 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.04931 0.66196 0.17467 -0.6385 0.19218 0.052575 0.0057623 -0.0092033 77.497 0 0
38
+ 15 0.45241 -0.21289 0.4455 -0.227 0.00291 0.036062 -0.032385 0.015865 0.0026014 0.00531 -0.00046782 0.00033261 3.4015 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.0467 0.62372 0.14561 -0.60649 0.18475 0.044355 0.005189 -0.0088296 74.422 0 0
40
+ 16 0.4455 -0.227 0.43815 -0.24088 0.00263 0.031104 -0.027489 0.014555 0.001664 0.0031428 -0.00040564 0.00027798 2.3893 0 0
41
+ 144 -0.10907 0.48796 -0.093691 0.49114 0.0432 0.57736 0.11708 -0.56537 0.18171 0.037629 0.0046931 -0.0082893 69.356 0 0
42
+ 17 0.43815 -0.24088 0.43037 -0.25452 0.00272 0.031826 -0.027645 0.015768 0.004186 0.0073388 -0.00036848 0.00036295 2.701 0 0
43
+ 145 -0.093691 0.49114 -0.078217 0.49384 0.04044 0.53697 0.092321 -0.52897 0.18101 0.031591 0.0042933 -0.0078125 68.45 0 0
44
+ 18 0.43037 -0.25452 0.42216 -0.26791 0.00275 0.033626 -0.02867 0.017569 0.0037284 0.0060843 -0.00039177 0.00037153 3.0039 0 0
45
+ 146 -0.078217 0.49384 -0.062667 0.49606 0.03856 0.50916 0.071742 -0.50409 0.17904 0.025481 0.0039391 -0.0075176 64.983 0 0
46
+ 19 0.42216 -0.26791 0.41354 -0.28104 0.00293 0.035073 -0.029314 0.019256 0.0055028 0.0083772 -0.00037401 0.00043404 3.699 0 0
47
+ 147 -0.062667 0.49606 -0.047054 0.49778 0.03526 0.4678 0.051333 -0.46497 0.16528 0.018247 0.0034024 -0.0070168 57.206 0 0
48
+ 20 0.41354 -0.28104 0.40451 -0.29389 0.00289 0.033484 -0.027395 0.019253 0.0058867 0.0083759 -0.00033783 0.00043398 3.1278 0 0
49
+ 148 -0.047054 0.49778 -0.031395 0.49901 0.03266 0.43141 0.033848 -0.43008 0.15953 0.012555 0.0030374 -0.0065583 52.4 0 0
50
+ 21 0.40451 -0.29389 0.39508 -0.30645 0.00289 0.032352 -0.025872 0.019425 0.0079703 0.010615 -0.00028118 0.00047186 3.1553 0 0
51
+ 149 -0.031395 0.49901 -0.015705 0.49975 0.02995 0.3958 0.018645 -0.39536 0.1533 0.0072295 0.0027008 -0.0060965 50.007 0 0
52
+ 22 0.39508 -0.30645 0.38526 -0.31871 0.00286 0.031767 -0.024792 0.019862 0.010393 0.012972 -0.00022618 0.00051574 3.8112 0 0
53
+ 150 -0.015705 0.49975 0 0.5 0.02906 0.3739 0.005873 -0.37386 0.14786 0.0023227 0.0024147 -0.0058358 48.568 0 0
54
+ 23 0.38526 -0.31871 0.37506 -0.33066 0.00295 0.033484 -0.025462 0.021746 0.010476 0.012266 -0.00023538 0.00053424 3.6301 0 0
55
+ 151 0 0.5 0.015705 0.49975 0.02701 0.35273 -0.0055404 -0.35268 0.14297 -0.0022459 0.0021586 -0.005575 41.985 0 0
56
+ 24 0.37506 -0.33066 0.36448 -0.34227 0.00296 0.033325 -0.024648 0.022428 0.010325 0.011347 -0.00022497 0.00053052 2.7719 0 0
57
+ 152 0.015705 0.49975 0.031395 0.49901 0.02549 0.33278 -0.015676 -0.33241 0.14044 -0.0066228 0.0019596 -0.0053253 43.605 0 0
58
+ 25 0.36448 -0.34227 0.35355 -0.35355 0.00333 0.038613 -0.027729 0.026871 0.013588 0.014022 -0.00022211 0.00064232 3.8686 0 0
59
+ 153 0.031395 0.49901 0.047054 0.49778 0.02288 0.29379 -0.023051 -0.29289 0.13021 -0.010248 0.0016832 -0.0047615 38.384 0 0
60
+ 26 0.35355 -0.35355 0.34227 -0.36448 0.00356 0.039871 -0.027747 0.028633 0.016555 0.016043 -0.0001758 0.00070173 4.6365 0 0
61
+ 154 0.047054 0.49778 0.062667 0.49606 0.02046 0.26222 -0.028775 -0.26064 0.11768 -0.012993 0.0013965 -0.004298 33.792 0 0
62
+ 27 0.34227 -0.36448 0.33066 -0.37506 0.00382 0.043761 -0.029451 0.032367 0.018927 0.017222 -0.00016531 0.00077891 4.8997 0 0
63
+ 155 0.062667 0.49606 0.078217 0.49384 0.01971 0.25366 -0.03574 -0.25113 0.1167 -0.016609 0.0012717 -0.0042054 34.712 0 0
64
+ 28 0.33066 -0.37506 0.31871 -0.38526 0.00447 0.050302 -0.032669 0.03825 0.023667 0.020214 -0.00014139 0.00091832 7.2849 0 0
65
+ 156 0.078217 0.49384 0.093691 0.49114 0.01815 0.22565 -0.038795 -0.22229 0.10344 -0.018054 0.0010154 -0.0037751 27.972 0 0
66
+ 29 0.31871 -0.38526 0.30645 -0.39508 0.0044 0.04872 -0.030462 0.038022 0.025189 0.02018 -8.2821e-05 0.00091421 6.3655 0 0
67
+ 157 0.093691 0.49114 0.10907 0.48796 0.01729 0.22118 -0.044852 -0.21658 0.10414 -0.021566 0.00093121 -0.0037407 29.621 0 0
68
+ 30 0.30645 -0.39508 0.29389 -0.40451 0.00481 0.056582 -0.033973 0.045248 0.027059 0.020317 -0.00010859 0.0010298 7.1736 0 0
69
+ 158 0.10907 0.48796 0.12434 0.48429 0.01505 0.188 -0.043888 -0.18281 0.089664 -0.021527 0.00071903 -0.0032095 22.483 0 0
70
+ 31 0.29389 -0.40451 0.28104 -0.41354 0.00541 0.061776 -0.035521 0.050542 0.030703 0.021578 -7.5683e-05 0.0011328 8.5339 0 0
71
+ 159 0.12434 0.48429 0.1395 0.48015 0.01429 0.17699 -0.046703 -0.17072 0.094635 -0.025889 0.00075288 -0.0030882 25.284 0 0
72
+ 32 0.28104 -0.41354 0.26791 -0.42216 0.00577 0.067932 -0.037296 0.056778 0.037221 0.02445 -1.1706e-06 0.0012759 9.9542 0 0
73
+ 160 0.1395 0.48015 0.15451 0.47553 0.01329 0.16516 -0.048565 -0.15786 0.085729 -0.026374 0.00058375 -0.0028938 22.849 0 0
74
+ 33 0.26791 -0.42216 0.25452 -0.43037 0.00597 0.069984 -0.036567 0.059672 0.037985 0.023277 2.2282e-05 0.0013029 10.88 0 0
75
+ 161 0.15451 0.47553 0.16937 0.47044 0.01175 0.14122 -0.045743 -0.1336 0.07564 -0.025897 0.00046959 -0.0025053 19.811 0 0
76
+ 34 0.25452 -0.43037 0.24088 -0.43815 0.00688 0.080284 -0.039778 0.069738 0.044696 0.025494 7.725e-05 0.0014958 11.322 0 0
77
+ 162 0.16937 0.47044 0.18406 0.46489 0.01062 0.12988 -0.045908 -0.12149 0.072347 -0.027338 0.00041528 -0.0023377 17.839 0 0
78
+ 35 0.24088 -0.43815 0.227 -0.4455 0.0076 0.087957 -0.041158 0.077733 0.049213 0.026057 0.00012653 0.0016303 10.205 0 0
79
+ 163 0.18406 0.46489 0.19857 0.45888 0.00974 0.11694 -0.044752 -0.10804 0.061986 -0.025675 0.0002707 -0.0021003 13.806 0 0
80
+ 36 0.227 -0.4455 0.21289 -0.45241 0.0083 0.098802 -0.043467 0.088727 0.055485 0.027182 0.00018877 0.0018206 12.76 0 0
81
+ 164 0.19857 0.45888 0.21289 0.45241 0.00913 0.11122 -0.04577 -0.10137 0.058523 -0.026424 0.00020032 -0.0020073 15.48 0 0
82
+ 37 0.21289 -0.45241 0.19857 -0.45888 0.00909 0.10976 -0.045168 0.10004 0.055261 0.024951 0.00015853 0.0019632 14.941 0 0
83
+ 165 0.21289 0.45241 0.227 0.4455 0.00856 0.10435 -0.045909 -0.093711 0.057431 -0.028135 0.00018099 -0.0019139 13.939 0 0
84
+ 38 0.19857 -0.45888 0.18406 -0.46489 0.00969 0.11704 -0.044789 0.10813 0.064698 0.026799 0.00031272 0.0021194 16.069 0 0
85
+ 166 0.227 0.4455 0.24088 0.43815 0.00781 0.092045 -0.043071 -0.081346 0.047383 -0.025088 6.7741e-05 -0.0016718 11.829 0 0
86
+ 39 0.18406 -0.46489 0.16937 -0.47044 0.01075 0.13148 -0.046475 0.12299 0.067851 0.025639 0.00033576 0.0023346 17.931 0 0
87
+ 167 0.24088 0.43815 0.25452 0.43037 0.0068 0.080949 -0.040107 -0.070315 0.042016 -0.023966 2.9994e-05 -0.0014809 11.529 0 0
88
+ 40 0.16937 -0.47044 0.15451 -0.47553 0.01211 0.14858 -0.048127 0.14057 0.075796 0.025951 0.0004346 0.0026156 19.27 0 0
89
+ 168 0.25452 0.43037 0.26791 0.42216 0.00602 0.07081 -0.036998 -0.060376 0.038354 -0.023503 2.1292e-05 -0.0013175 10.23 0 0
90
+ 41 0.15451 -0.47553 0.1395 -0.48015 0.01242 0.15257 -0.044861 0.14582 0.07725 0.023765 0.00050875 0.0026638 18.726 0 0
91
+ 169 0.26791 0.42216 0.28104 0.41354 0.0056 0.064133 -0.03521 -0.053602 0.036618 -0.024054 2.2115e-05 -0.0012198 9.066 0 0
92
+ 42 0.1395 -0.48015 0.12434 -0.48429 0.01402 0.17762 -0.04687 0.17133 0.089908 0.024596 0.00067601 0.0030774 24.885 0 0
93
+ 170 0.28104 0.41354 0.29389 0.40451 0.00545 0.06311 -0.036289 -0.051633 0.030523 -0.021452 -9.0554e-05 -0.001148 8.8207 0 0
94
+ 43 0.12434 -0.48429 0.10907 -0.48796 0.01457 0.18394 -0.042939 0.17885 0.092041 0.022097 0.00077126 0.0031564 23.779 0 0
95
+ 171 0.29389 0.40451 0.30645 0.39508 0.00472 0.054373 -0.032647 -0.043482 0.026921 -0.020213 -8.9936e-05 -0.0010005 8.6883 0 0
96
+ 44 0.10907 -0.48796 0.093691 -0.49114 0.01625 0.20576 -0.041725 0.20148 0.10227 0.021179 0.00095101 0.0034974 28.895 0 0
97
+ 172 0.30645 0.39508 0.31871 0.38526 0.00413 0.047602 -0.029763 -0.03715 0.022356 -0.01791 -0.00011635 -0.00086485 7.0164 0 0
98
+ 45 0.093691 -0.49114 0.078217 -0.49384 0.01779 0.22629 -0.038905 0.22292 0.10453 0.018243 0.0010308 0.003788 29.783 0 0
99
+ 173 0.31871 0.38526 0.33066 0.37506 0.0045 0.050706 -0.032931 -0.038557 0.021801 -0.018619 -0.00017483 -0.00089809 6.8359 0 0
100
+ 46 0.078217 -0.49384 0.062667 -0.49606 0.02015 0.25883 -0.03647 0.25625 0.12117 0.017245 0.0013304 0.0042959 37.191 0 0
101
+ 174 0.33066 0.37506 0.34227 0.36448 0.00359 0.0401 -0.026988 -0.029659 0.016807 -0.015293 -0.00015991 -0.00070608 5.2843 0 0
102
+ 47 0.062667 -0.49606 0.047054 -0.49778 0.02168 0.28294 -0.031049 0.28123 0.12392 0.013681 0.0014588 0.0046323 37.782 0 0
103
+ 175 0.34227 0.36448 0.35355 0.35355 0.00374 0.04251 -0.029583 -0.030527 0.016177 -0.015676 -0.00021057 -0.00072574 5.0518 0 0
104
+ 48 0.047054 -0.49778 0.031395 -0.49901 0.0223 0.28813 -0.022606 0.28724 0.12628 0.0099381 0.0016284 0.0046678 38.043 0 0
105
+ 176 0.35355 0.35355 0.36448 0.34227 0.00375 0.043086 -0.030941 -0.029984 0.014804 -0.015276 -0.00025348 -0.00071092 4.5105 0 0
106
+ 49 0.031395 -0.49901 0.015705 -0.49975 0.02593 0.339 -0.015969 0.33863 0.15085 0.0071141 0.0021187 0.0054307 43.496 0 0
107
+ 177 0.36448 0.34227 0.37506 0.33066 0.00321 0.036849 -0.027254 -0.0248 0.01315 -0.014452 -0.00022154 -0.00061653 3.4168 0 0
108
+ 50 0.015705 -0.49975 0 -0.5 0.02685 0.34487 -0.005417 0.34483 0.13987 0.0021973 0.0021119 0.0054508 42.727 0 0
109
+ 178 0.37506 0.33066 0.38526 0.31871 0.00293 0.034319 -0.026097 -0.022289 0.0099107 -0.011604 -0.00025424 -0.00053236 3.1951 0 0
110
+ 51 0 -0.5 -0.015705 -0.49975 0.02807 0.3709 0.0058259 0.37086 0.14327 -0.0022507 0.0023419 0.0057898 46.786 0 0
111
+ 179 0.38526 0.31871 0.39508 0.30645 0.00285 0.032437 -0.025315 -0.020281 0.0090852 -0.01134 -0.00025492 -0.00049668 3.9633 0 0
112
+ 52 -0.015705 -0.49975 -0.031395 -0.49901 0.03075 0.40768 0.019204 0.40723 0.15979 -0.0075356 0.0028116 0.0062781 52.236 0 0
113
+ 180 0.39508 0.30645 0.40451 0.29389 0.00289 0.031818 -0.025445 -0.019104 0.0068208 -0.0090845 -0.00029253 -0.00044277 3.1142 0 0
114
+ 53 -0.031395 -0.49901 -0.047054 -0.49778 0.03363 0.44168 0.034654 0.44032 0.16607 -0.01307 0.0031528 0.006711 55.036 0 0
115
+ 181 0.40451 0.29389 0.41354 0.28104 0.00297 0.034349 -0.028102 -0.019751 0.0075543 -0.010749 -0.00032275 -0.00047906 3.9782 0 0
116
+ 54 -0.047054 -0.49778 -0.062667 -0.49606 0.03555 0.47466 0.052087 0.4718 0.16717 -0.018456 0.003444 0.0071208 61.757 0 0
117
+ 182 0.41354 0.28104 0.42216 0.26791 0.00296 0.034689 -0.028993 -0.019045 0.006515 -0.0099181 -0.00035307 -0.00045493 2.7735 0 0
118
+ 55 -0.062667 -0.49606 -0.078217 -0.49384 0.03734 0.49834 0.070217 0.49337 0.16998 -0.024192 0.0037729 0.0073695 62.459 0 0
119
+ 183 0.42216 0.26791 0.43037 0.25452 0.00281 0.032796 -0.027963 -0.017136 0.0028948 -0.0047239 -0.00039376 -0.00034336 2.7461 0 0
120
+ 56 -0.078217 -0.49384 -0.093691 -0.49114 0.04093 0.53616 0.092181 0.52818 0.18076 -0.031547 0.0042871 0.0078007 65.577 0 0
121
+ 184 0.43037 0.25452 0.43815 0.24088 0.00315 0.036252 -0.031489 -0.017961 0.0026671 -0.0046759 -0.00045272 -0.00035557 3.8896 0 0
122
+ 57 -0.093691 -0.49114 -0.10907 -0.48796 0.04364 0.5917 0.11999 0.57941 0.18922 -0.039185 0.0048569 0.0084855 72.668 0 0
123
+ 185 0.43815 0.24088 0.4455 0.227 0.00297 0.033793 -0.029865 -0.015813 0.0029471 -0.0055661 -0.00042281 -0.0003358 2.7495 0 0
124
+ 58 -0.10907 -0.48796 -0.12434 -0.48429 0.04643 0.61581 0.14376 0.59879 0.1877 -0.045062 0.0052063 0.0086977 76.979 0 0
125
+ 186 0.4455 0.227 0.45241 0.21289 0.00299 0.036627 -0.032892 -0.016114 0.0023137 -0.0047228 -0.00048031 -0.00032728 2.2026 0 0
126
+ 59 -0.12434 -0.48429 -0.1395 -0.48015 0.04918 0.65783 0.17358 0.63452 0.19398 -0.053067 0.0057734 0.009133 80.096 0 0
127
+ 187 0.45241 0.21289 0.45888 0.19857 0.0029 0.036732 -0.033478 -0.015116 0.0019028 -0.0042143 -0.00049595 -0.00030362 2.7884 0 0
128
+ 60 -0.1395 -0.48015 -0.15451 -0.47553 0.05161 0.6895 0.20274 0.65902 0.19366 -0.059578 0.0062264 0.0094156 84.586 0 0
129
+ 188 0.45888 0.19857 0.46489 0.18406 0.00335 0.041879 -0.038691 -0.016026 0.0010306 -0.0024882 -0.00059154 -0.00029081 2.859 0 0
130
+ 61 -0.15451 -0.47553 -0.16937 -0.47044 0.05627 0.75847 0.24568 0.71758 0.20603 -0.07054 0.0070952 0.010163 92.391 0 0
131
+ 189 0.46489 0.18406 0.47044 0.16937 0.00328 0.038557 -0.036068 -0.013629 0.0012565 -0.0033253 -0.0005468 -0.00026631 2.5703 0 0
132
+ 62 -0.16937 -0.47044 -0.18406 -0.46489 0.05975 0.81159 0.28688 0.7592 0.20999 -0.07935 0.0078045 0.010679 96.974 0 0
133
+ 190 0.47044 0.16937 0.47553 0.15451 0.00343 0.041794 -0.039541 -0.013538 0.00050414 -0.0014725 -0.00061317 -0.00023577 3.1742 0 0
134
+ 63 -0.18406 -0.46489 -0.19857 -0.45888 0.06108 0.83374 0.31906 0.77027 0.20471 -0.084795 0.008227 0.010767 99.561 0 0
135
+ 191 0.47553 0.15451 0.48015 0.1395 0.0036 0.045837 -0.043811 -0.013478 0.00059547 -0.0019356 -0.00067879 -0.00024211 3.7427 0 0
136
+ 64 -0.19857 -0.45888 -0.21289 -0.45241 0.06636 0.89947 0.37014 0.81978 0.21034 -0.094973 0.0091179 0.011385 108.37 0 0
137
+ 192 0.48015 0.1395 0.48429 0.12434 0.00341 0.043025 -0.0415 -0.011353 -0.00075907 0.0027747 -0.00066378 -0.00013474 2.6141 0 0
138
+ 65 -0.21289 -0.45241 -0.227 -0.4455 0.06906 0.94095 0.41396 0.845 0.20369 -0.099789 0.0097017 0.011705 109.94 0 0
139
+ 193 0.48429 0.12434 0.48796 0.10907 0.00357 0.04712 -0.045818 -0.011 -0.00051825 0.0021587 -0.00072781 -0.00013887 2.2846 0 0
140
+ 66 -0.227 -0.4455 -0.24088 -0.43815 0.07403 1.0108 0.47299 0.89332 0.21633 -0.11454 0.010827 0.012232 119.78 0 0
141
+ 194 0.48796 0.10907 0.49114 0.093691 0.00358 0.044793 -0.043862 -0.0090834 6.8688e-05 -0.00033168 -0.00068788 -0.00014789 3.24 0 0
142
+ 67 -0.24088 -0.43815 -0.25452 -0.43037 0.07666 1.0487 0.5196 0.91096 0.20059 -0.11441 0.011312 0.012512 119.19 0 0
143
+ 195 0.49114 0.093691 0.49384 0.078217 0.00364 0.04677 -0.046073 -0.0080411 0.00037062 -0.0021236 -0.00071787 -0.00015966 2.7854 0 0
144
+ 68 -0.25452 -0.43037 -0.26791 -0.42216 0.08055 1.1067 0.57822 0.94358 0.20668 -0.12665 0.012329 0.012832 126.17 0 0
145
+ 196 0.49384 0.078217 0.49606 0.062667 0.00374 0.048918 -0.04843 -0.0068926 -0.00021275 0.0014948 -0.00076405 -8.4785e-05 3.1628 0 0
146
+ 69 -0.26791 -0.42216 -0.28104 -0.41354 0.08662 1.1814 0.64863 0.98745 0.19669 -0.1292 0.013278 0.013481 134.38 0 0
147
+ 197 0.49606 0.062667 0.49778 0.047054 0.00391 0.0496 -0.0493 -0.0054428 0.00014155 -0.0012821 -0.00077215 -0.00010563 3.607 0 0
148
+ 70 -0.28104 -0.41354 -0.29389 -0.40451 0.08789 1.2052 0.69301 0.98605 0.19877 -0.1397 0.014007 0.013294 139.35 0 0
149
+ 198 0.49778 0.047054 0.49901 0.031395 0.00375 0.046575 -0.046432 -0.0036542 -3.848e-05 0.00048894 -0.00072992 -4.9719e-05 4.1726 0 0
150
+ 71 -0.29389 -0.40451 -0.30645 -0.39508 0.09303 1.2782 0.76743 1.0221 0.1924 -0.14446 0.015076 0.013786 145.61 0 0
151
+ 199 0.49901 0.031395 0.49975 0.015705 0.00381 0.048986 -0.048932 -0.0023076 -4.1097e-05 0.00087146 -0.00076923 -2.2557e-05 3.3603 0 0
152
+ 72 -0.30645 -0.39508 -0.31871 -0.38526 0.09705 1.3337 0.83387 1.0408 0.19479 -0.15605 0.016158 0.013898 142.7 0 0
153
+ 200 0.49975 0.015705 0.5 0 0.00407 0.053472 -0.053466 -0.00083991 2.2983e-05 -0.001463 -0.00083944 -3.6173e-05 5.29 0 0
154
+ 73 -0.31871 -0.38526 -0.33066 -0.37506 0.10188 1.4018 0.9104 1.0659 0.19206 -0.16403 0.017317 0.014167 157.68 0 0
155
+ 74 -0.33066 -0.37506 -0.34227 -0.36448 0.10592 1.4471 0.97391 1.0703 0.17675 -0.16083 0.018074 0.014286 162.71 0 0
156
+ 75 -0.34227 -0.36448 -0.35355 -0.35355 0.10999 1.5126 1.0526 1.0862 0.17034 -0.16507 0.019209 0.014469 164.89 0 0
157
+ 76 -0.35355 -0.35355 -0.36448 -0.34227 0.11373 1.5624 1.122 1.0873 0.17306 -0.17858 0.020341 0.014273 172.3 0 0
158
+ 77 -0.36448 -0.34227 -0.37506 -0.33066 0.11795 1.6228 1.2003 1.0922 0.16292 -0.17904 0.021412 0.014343 182.25 0 0
159
+ 78 -0.37506 -0.33066 -0.38526 -0.31871 0.1232 1.6987 1.2917 1.1032 0.15232 -0.17834 0.022682 0.014527 187.32 0 0
160
+ 79 -0.38526 -0.31871 -0.39508 -0.30645 0.12699 1.7582 1.3721 1.0993 0.13544 -0.16906 0.02368 0.014611 200.47 0 0
161
+ 80 -0.39508 -0.30645 -0.40451 -0.29389 0.12937 1.7914 1.4325 1.0756 0.13724 -0.18279 0.024657 0.014023 192.68 0 0
162
+ 81 -0.40451 -0.29389 -0.41354 -0.28104 0.13452 1.8536 1.5165 1.0658 0.12387 -0.17624 0.025766 0.013973 203.35 0 0
163
+ 82 -0.41354 -0.28104 -0.42216 -0.26791 0.14156 1.9557 1.6346 1.0737 0.12606 -0.19191 0.027655 0.013851 218.35 0 0
164
+ 83 -0.42216 -0.26791 -0.43037 -0.25452 0.14158 1.9492 1.6619 1.0184 0.10324 -0.16847 0.027726 0.013351 214 0 0
165
+ 84 -0.43037 -0.25452 -0.43815 -0.24088 0.14687 2.033 1.766 1.0073 0.097305 -0.17059 0.029267 0.013142 223.53 0 0
166
+ 85 -0.43815 -0.24088 -0.4455 -0.227 0.15094 2.0831 1.8409 0.97472 0.09482 -0.17908 0.030405 0.012497 225.4 0 0
167
+ 86 -0.4455 -0.227 -0.45241 -0.21289 0.15468 2.1404 1.9221 0.94164 0.083738 -0.17093 0.031507 0.012106 246.48 0 0
168
+ 87 -0.45241 -0.21289 -0.45888 -0.19857 0.15886 2.2033 2.0081 0.90669 0.076623 -0.1697 0.032745 0.011576 245.78 0 0
169
+ 88 -0.45888 -0.19857 -0.46489 -0.18406 0.16253 2.2463 2.0753 0.85962 0.06095 -0.14715 0.033555 0.011191 243.9 0 0
170
+ 89 -0.46489 -0.18406 -0.47044 -0.16937 0.16325 2.2542 2.1086 0.79679 0.054295 -0.14369 0.033974 0.010258 242.33 0 0
171
+ 90 -0.47044 -0.16937 -0.47553 -0.15451 0.16778 2.3287 2.2031 0.75429 0.046642 -0.13623 0.035338 0.0097081 243.9 0 0
172
+ 91 -0.47553 -0.15451 -0.48015 -0.1395 0.16914 2.3444 2.2407 0.68933 0.038358 -0.12468 0.035798 0.0088691 261.77 0 0
173
+ 92 -0.48015 -0.1395 -0.48429 -0.12434 0.16959 2.3425 2.2595 0.61813 0.031193 -0.11402 0.035981 0.0079182 260.32 0 0
174
+ 93 -0.48429 -0.12434 -0.48796 -0.10907 0.17669 2.4389 2.3715 0.56935 0.025384 -0.10573 0.037649 0.0072823 261.46 0 0
175
+ 94 -0.48796 -0.10907 -0.49114 -0.093691 0.17534 2.4208 2.3705 0.49091 0.020426 -0.098632 0.037555 0.0061616 262.37 0 0
176
+ 95 -0.49114 -0.093691 -0.49384 -0.078217 0.17858 2.466 2.4293 0.42398 0.014123 -0.08092 0.03838 0.0053886 263.94 0 0
177
+ 96 -0.49384 -0.078217 -0.49606 -0.062667 0.18035 2.4948 2.4699 0.35152 0.0088202 -0.061974 0.038934 0.004548 269.17 0 0
178
+ 97 -0.49606 -0.062667 -0.49778 -0.047054 0.17817 2.4636 2.4487 0.27034 0.0051553 -0.046696 0.038543 0.0035128 255.81 0 0
179
+ 98 -0.49778 -0.047054 -0.49901 -0.031395 0.18113 2.4877 2.48 0.19518 0.0033074 -0.042024 0.039007 0.0024057 260.95 0 0
180
+ 99 -0.49901 -0.031395 -0.49975 -0.015705 0.18219 2.5306 2.5278 0.11921 0.00049109 -0.010413 0.039712 0.0017089 268.52 0 0
181
+ 100 -0.49975 -0.015705 -0.5 0 0.18067 2.5071 2.5068 0.039379 7.9448e-05 -0.0050574 0.039376 0.00053911 269.65 0 0
182
+ 101 -0.5 0 -0.49975 0.015705 0.18081 2.5135 2.5132 -0.039481 0.00034088 0.021699 0.039481 -0.0002793 270.55 0 0
183
+ 102 -0.49975 0.015705 -0.49901 0.031395 0.18328 2.5483 2.5455 -0.12004 0.00028578 0.0060599 0.039987 -0.0017904 273.17 0 0
184
+ 103 -0.49901 0.031395 -0.49778 0.047054 0.17905 2.471 2.4634 -0.19387 0.0016303 0.020715 0.038719 -0.0027198 265.94 0 0
185
+ 104 -0.49778 0.047054 -0.49606 0.062667 0.18006 2.4957 2.4806 -0.27386 0.0038566 0.034933 0.039025 -0.003753 271.6 0 0
186
+ 105 -0.49606 0.062667 -0.49384 0.078217 0.17695 2.4495 2.425 -0.34513 0.0092692 0.065129 0.038236 -0.0043981 271.5 0 0
187
+ 106 -0.49384 0.078217 -0.49114 0.093691 0.17777 2.4589 2.4223 -0.42275 0.013488 0.077285 0.038259 -0.0054263 260.52 0 0
188
+ 107 -0.49114 0.093691 -0.48796 0.10907 0.17849 2.4749 2.4235 -0.50187 0.015593 0.075297 0.038311 -0.0067004 264.29 0 0
189
+ 108 -0.48796 0.10907 -0.48429 0.12434 0.17466 2.419 2.3522 -0.56471 0.025412 0.10585 0.037346 -0.0072075 261.77 0 0
190
+ 109 -0.48429 0.12434 -0.48015 0.1395 0.17121 2.3741 2.29 -0.62647 0.030651 0.11204 0.036451 -0.0080803 262.67 0 0
191
+ 110 -0.48015 0.1395 -0.47553 0.15451 0.16994 2.3382 2.2349 -0.68754 0.035417 0.11512 0.03566 -0.0089911 258.05 0 0
192
+ 111 -0.47553 0.15451 -0.47044 0.16937 0.16762 2.3274 2.2019 -0.75388 0.048063 0.14038 0.035341 -0.0096364 260.14 0 0
193
+ 112 -0.47044 0.16937 -0.46489 0.18406 0.16567 2.2949 2.1467 -0.81118 0.051876 0.13729 0.034534 -0.010585 243.3 0 0
194
+ 113 -0.46489 0.18406 -0.45888 0.19857 0.16251 2.2457 2.0747 -0.85939 0.065478 0.15808 0.033617 -0.011016 246.1 0 0
195
+ 114 -0.45888 0.19857 -0.45241 0.21289 0.15962 2.202 2.0069 -0.90616 0.072926 0.16151 0.032669 -0.011696 239.6 0 0
196
+ 115 -0.45241 0.21289 -0.4455 0.227 0.15405 2.1291 1.912 -0.93668 0.078894 0.16104 0.031272 -0.012183 235.61 0 0
197
+ 116 -0.4455 0.227 -0.43815 0.24088 0.14828 2.0521 1.8135 -0.96022 0.095065 0.17955 0.029979 -0.012262 221.49 0 0
198
+ 117 -0.43815 0.24088 -0.43037 0.25452 0.14659 2.0276 1.7612 -1.0046 0.10195 0.17874 0.029265 -0.012972 224.08 0 0
199
+ 118 -0.43037 0.25452 -0.42216 0.26791 0.14475 1.9978 1.7034 -1.0439 0.11187 0.18255 0.028513 -0.013529 216.28 0 0
200
+ 119 -0.42216 0.26791 -0.41354 0.28104 0.14048 1.9394 1.621 -1.0648 0.12313 0.18744 0.027395 -0.01378 218.93 0 0
201
+ 120 -0.41354 0.28104 -0.40451 0.29389 0.13643 1.876 1.5348 -1.0787 0.12908 0.18366 0.026136 -0.014059 204.14 0 0
202
+ 121 -0.40451 0.29389 -0.39508 0.30645 0.13214 1.8285 1.4622 -1.0979 0.14239 0.18965 0.025205 -0.014266 202.55 0 0
203
+ 122 -0.39508 0.30645 -0.38526 0.31871 0.12453 1.7088 1.3336 -1.0684 0.14347 0.17908 0.023201 -0.01397 180.85 0 0
204
+ 123 -0.38526 0.31871 -0.37506 0.33066 0.1231 1.6921 1.2867 -1.099 0.15327 0.17946 0.022618 -0.014443 185.43 0 0
205
+ 124 -0.37506 0.33066 -0.36448 0.34227 0.11591 1.5969 1.1811 -1.0747 0.1573 0.17287 0.021023 -0.014166 174.91 0 0
206
+ 125 -0.36448 0.34227 -0.35355 0.35355 0.11389 1.5673 1.1255 -1.0907 0.17277 0.17828 0.020393 -0.014332 178 0 0
207
+ 126 -0.35355 0.35355 -0.34227 0.36448 0.11017 1.5076 1.0492 -1.0826 0.17271 0.16737 0.019192 -0.014377 169.87 0 0
208
+ 127 -0.34227 0.36448 -0.33066 0.37506 0.10629 1.4553 0.97945 -1.0764 0.17072 0.15534 0.018066 -0.014467 162.36 0 0
209
+ 128 -0.33066 0.37506 -0.31871 0.38526 0.10088 1.3775 0.89459 -1.0474 0.17833 0.15231 0.016853 -0.01406 149.85 0 0
CylinderKnMa/Kn0p32/simulation0660_Kn0p32Ma2p9/surf/Surf_300000.vtu ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="400" NumberOfCells="200" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="1" RangeMax="200" offset="0" />
9
+ <DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="432" />
10
+ <DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="1468" />
11
+ <DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="2476" />
12
+ <DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="3508" />
13
+ <DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00263" RangeMax="0.18328" offset="4512" />
14
+ <DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.031104" RangeMax="2.5483" offset="6452" />
15
+ <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.053466" RangeMax="2.5455" offset="8516" />
16
+ <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-1.099" RangeMax="1.1032" offset="10644" />
17
+ <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.00075907" RangeMax="0.21633" offset="12728" />
18
+ <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.19191" RangeMax="0.18965" offset="14844" />
19
+ <DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.00083944" RangeMax="0.039987" offset="16968" />
20
+ <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.014467" RangeMax="0.014611" offset="19112" />
21
+ <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="2.2026" RangeMax="273.17" offset="21248" />
22
+ <DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0" RangeMax="0" offset="22852" />
23
+ <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="22904" />
24
+ </CellData>
25
+ <Points>
26
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="22956" />
27
+ </Points>
28
+ <Cells>
29
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="24284" />
30
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="25188" />
31
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="25680" />
32
+ </Cells>
33
+ </Piece>
34
+ </UnstructuredGrid>
35
+ <AppendedData encoding="base64">
36
+ _AQAAAACAAABABgAAMAEAAA==eJwtyzeOVVEQRdETEhIQEBC0EEIIIQSNt32Bxnvv4eJhFjWUN5QayhsCQ0Dor0qWjrYq+X9/d7K5sWEP93If9/MAt3iQh3iYR3iUx3icJ3iS2zzF0zzDszzH87zAi7zEy7zCq9zh2FjMNZu5bjM3bGbXZm7azC2buW0zd2zmrs3cs5n7NvPAZh7azCObeWwzTzYOFpt5qrPYzDOdxWae6yw280JnsZmXOovNvNJZbOa1zmIzb3QWm3mrs9jMO53FZt7rLDbzQWexmY86i8180lls5rPOYjNz4xYHJ4sLmyvzxT8HJ4sLmyvz1T8HJ4sLmyvzzT8HJ4sLmyvz3T8HJ4sLmyvzwz8HJ4sLmyvz0z8HJ4sLmyvzyz8HJ4sLmyvz2z8HJ4sLmyvzZ/wDaXOy2Q==AQAAAACAAABABgAA9QIAAA==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AQAAAACAAABABgAA4AIAAA==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AQAAAACAAABABgAA8wIAAA==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AQAAAACAAABABgAA3wIAAA==eJw9k1tI02EYxmdIkZKVWmoilXRA6IRQaRe+WheVdREEdWU6sotZqBUaNYzIqJnEjDIFDUd2sDIxKCJPryNsxKg8zbTpJohakoQRspxGI55n/7uP//d973P4faYxy2tfdIXGRFzLDYmyaV5HZlpxTIM2DZQ5Z8Ka1WhfuLJk8SuNnJ3ekDj/RtNv/Pm16Eer+p5VLtV+1b05492Jbru2us73+t+/08mdxWVTL7q0MTV9x36rQ83t/rH2vA/quN9rnxOnFt2JDT0W8VFNx9ePb3Z90vCT4RkRmd06m7VyvmBjj768uTvZOt+jjV1PDLGfezVxYbZotLZPD61tsXWc6lfjmutWS5JLl7+Ny++cdGn8stGtFbYBnQuoqj/6RZ/mXW3wGwbVlZZgjWsY1MsFfXULB4Z0ZCr1e8nYkG6pG79YeOGrPrh0Oud5qFszSpy128rdai7dfvhx2LAeuVWVH1k6rD5LdeTB38NaVJycknliRFMCquydI5rR1pTdHO/RiujbxlUFHs1Ocq5wtHh04tuMueavR6dzC++27fHqRGDKQL5Xq1KzVkfVeDXk4a6z59Sr9yo3PbK5vZqwrrre8TOw3ld+ZtLvVcP/bzS4Dv7Hfp7nfbw/OA/zqYf6qJf66Yf+6Jf+mQfzYV7Mj3kyX+bN/NkH+2Ff7I99sl/2zf7JA/kgL+SHPJEv8kb+yCP5JK/klzyTb/JO/k14DwZ8WAv+C/YLzgvuE9wvmCeYL9Aj0CfQK9Av8CPwJ/Ar8C/IQ5CPIC9BfoI8BfkK8hbkL+hD0I+gL0F/gj4F/Qr6FvQv4EHAh4AXAT8CngR8CXgT8CfgUcCngFcBvwKeBXwLeBfwL3gPgvcRXAf/Yz/P8z7eH5yH+dRDfdRL/fRDf/RL/8yD+TAv5sc8mS/zZv7sg/2wL/bHPtkv+2b/5IF8kBfyQ57IF3kjf+SRfJJX8kueyTd5J/98D3wf/wBa4lc0AQAAAACAAABABgAAnAUAAA==eJxFVHk0FHoUlqSkqKNNLxNRoQhl5iT6nhCKKMorndJqwoxBJoWoKEtkyxQRYyxJlkJTYZgVxUiKUhNJhRbq6am8emOeo79+f/zOvfe791uShWSN7Y40yJk9YMz38MWP4mk/bydRQHI9/4WUTYNP0InclVY+eOMWEO4RT4WWvEr2piYqNi4NlE+b5o1TYlXtCFtvGFgtGnhF9ELJWLmG90SdZVoZ2WzdEXyYWWN0WZ8M+/C0XZVPPCHOyg47HXsI4Vf9uv+0O4y79jPkV5w7jD9siwT5cmQE3Yn6xC/ynHgtVD82P6N4TvTZMbTxTSLIE/M/Wuz2f65HAWOH1SvCZl8QYuRDlzj5YxU1Z1LVFH/MY6nH5t0KwP5NOg/v69LBs+Wn2DGP4bmeRtGvgCBMvjj0abVhCAQXjI8ZaIXhgstRHcavcLyT8JaKMk5DxaShfmfHGXhVHU1eoHAWuwaZJZpNUahvPWdY4BsNA/eB2IjK85iVNMWh60kcWDSL6e05CbCLqS+NISWhq0blympmCuZXvVthtzoVEZlNheLHqVj/YbD9YFwaxqYlnExHYOlP8b6aKyj1Jyd+CLmKO0QZEWC9lDVAo1NhqBkhB441T98I/2ZBZdOlIz/c8hBhK7scNGeY/0MwvIZ+pc3mWT6FMOsL7fEWF+HgupdOcYxiVGt0l3fZlGAJiTdzZLQUb03p0f03yvDC8r1D9pebeL2lz+Pfq7fg5l7GeZ9ZDsVhg4C7KysRvy73zHBYJVzlznu2tNyG/jW1FusONpgPNfjNc+6O834PKnN7Rh11q/Dua5JUWdXoMkjIGjGuQaucRF4phoOFOYGuppa1aJBexeRC7fh+dVg3arozh8CF2xh9i7lQvLevk/mAC1PLtlC5bTxomxS9invAkzK+zfrsdj7oJKfA+iY+HEjRlh69fHzSpOe1HBfAUGGt7r48AdSsX0zVrBCM8ycEcXH72Rg/IY4TnmdUdApBvtUfUDFXhEafBPuNzUIkROklWq8Sjc8TYdHSkmZjTRE65x0i1uuIEHFwkho7UIQxVS8aEGJ3UUHdmhkibAo+s8ohT4hrkoUd+nVChElcWdwOIRg3hm02uAtRwdubbNovgJ+mjvKlWgHmvFM7nnRUAONHX0uK1gjGdcRHYNPrdAqVD1v/b6p9t3lQcna5/+Q7F1Htw8p0HnfcH1ycGJXk4UcdDlcvaIym10FZD9e+9tXi59CeCpNuDurWakshcaAtE0Q1MshuWr3Lq/FtjlyP+poqZDm9tm81vYfv01vP2zy6A6PB58Hs12zoftbpS2u4jSq3Gw4juZWQmD/WIvEqcErrurvF8go83J2fmNp4C8rBz7pLGm7i6eUNUumUYcSlJzedX4q+toviz+al0CvWl0ZIMWb9DwCRSwnOxN5C9Frfmy6FChvZgvko7thLdyLkoTPyjVlcOQuNcyW9S2pyQOdV2lyeycRMVyFHzM4CI0H1BPF6JvKLQ1Lf1mVg40CB1+mCdIRMDx+asTBtPBcYmGd0yv3YlxTI6DVMQVZ0aXffxSSMjBptCCpPxA8zWnNUazxMdtluV7OOg2xdUiwKh1od98+Kwvanx2wGOZHYuqX8esLnM3DmOnRybp7GHXVq7dtzp5DcM2aMMOyd2qy+9VkwDuz/4kcpCILoLjtOcZCONbOJ5tXb6KhhGUsnBGAZbYCa2U+DzHZUf+jJDEGBk0zoVLAJkQNb2VSkLsvN6tzsNZF7bSsOqb/663fucdrE6TGuv/POKNPS6peCJzRbfaVQjkz8J6Z3K4acJKPryuzc6jpPuKRqxQf6eePongOMAokXZDGs7oOk+2F2nFAK6vt3iO0/eWNMHY/XU1CrQH3R5EIBUepC5sPfOFmFSsyPk2kTeA2labCM6IsBgbP0UjT8ByzPAfM=AQAAAACAAABABgAA+AUAAA==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AQAAAACAAABABgAAKQYAAA==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AQAAAACAAABABgAABwYAAA==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AQAAAACAAABABgAAIAYAAA==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AQAAAACAAABABgAAJgYAAA==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AQAAAACAAABABgAANQYAAA==eJwN0Yk/FHgDB2AVJbGirCJXRM4kS8R8jWE09GZEZuW1UesoajErtyFyFCMME8vGzFCayk2z6KeyZT/RIQrbVopIW8qREnrf5194MicNnvSKXUljWqX7aAGDRGxRbnnQTCfvhG6vZxtciVdd6IErdnRy5MA329is3ST503n5ju7dRB9fZ/a8cyImURLvplRnMtWXdPtFG41snE77RXyURlJnJJyHp53IolMNs8nAkbS5mrqSHQ4k8k5jcctFClF9U5t5stCW1LJKspX0d5JVk0e871+2IcdyxloGTu4kFoZWPQO6VoSXzBk7esyCqPR/CGZVmpLZvSM9ckNmZM/2nsL2BFPiE+J68PYmU3Ii2jP5mZwBaVvn//3LS1sIzV5tyDFzM3lbumFKplmFBMiJlnyiNxGp/I1yUk/WkeDuNvdaYcP1TqWIABe/OUor/+vIVof1WBOUHiYq1AaTNT2tdH0rjg83eB26o4dHM3Ym+UmWqPlJb6fmMivEs4//5R9vh7d/Mvc2ih3Qr0JCu/Tp0H8vbd/tzMC/3WfDqgzdsco7TjnxFRP9nwK11Lr3w8O/Kr/qNQsnxi9tW3b1ANp/uxZk5xuA5ODHV77sCcD7/s2LHtsO4/Ysj3pANhhB4pTS14+OYH7yRijfKgyuMzm0H8eP4zvpFpFPbgRuaeUa9Y2wsWJNa+oOzyj09i04DlZG4+L01Kmh5FhsYXnjb8VErK7cllY6x0FWYw48BpMhMY/uDb58EiZciU7Cs1SYRbqzok3SkW4d+uG6UQbCerx/mkIWJC/kl5K2n4Gz0r6Whpps9NwTRBu94EIzlL5ScuYsrv110SK7NQ9FdRW/LabkY+6ugXG6uAAP/ZSDnft4cLo5t7TyXSGCnvY5TNvw4f2R/joP58BzjXGsQTEU1AMXgw6VoJO3W8D3KMW5Z0v/tfy5FOvjQ7SMP5dhQeP08sTN5+FyxTyxRqcc/8hbv5i+VQ5tebs5TbMKXNDqc5YLrIBnfWlar6oAOg7pXA0vAWyludJqYQLM03+9/wddiIPUkroQWyFmVEQbz1QJ4VcdTN06KURF+3zMeKsQmh4Vf0g+C6EXn1ais1+EwrIkpqqhCL2R5RlDViIsu5mhbBorQldLtMJ8rxANE+wmla9CMBiKNHGBEPOG3BU1RUK8ZBsMcMqE8BhwfrhCSwiK9oPixmoBFr5mr1nlKEDRiaNm1hsE4O/acSP8agUwYsqCVQWelG9rX5SUw/l8rsXL5eVYedhJ8KD+d/wcJR4TzZWhXX2NXKpFGWrq3Lx+UShFr9WSU+CtErD8uya87xfjmtaHDqmbfMToWzJMDPlI+DBUqZBRCMFHp7VjwzyI1AM8lC4UYKDkStsIJx/XBb41b6h5EMhx/l9+FssuRH9MespF2VrbceXvckDLftJ2qeE0TjWXukXsz4J6Sowf8c+AzHPLxBMdp+BScGZ7LTcVRfcygldbnMTDpG9UzkIyAmWbpXQ1OZi96BlbFJ+A7swb9ZmqcVjefrf8h5JopMR28RSpUYiTdw5XtmGjIzHm42BhBLRy76tFbg5Hh5wb3+d5KFx/pze9Gg5BbFrW7IJWENaNTZkv3TmM8elP2W+uBoBNt7HnKfhj3cCc3VCBL/jq8lE/DnvDvs0xbrTfC8ulmiNHBUyE+7HBTd2Lap2nRtW5Ljg3uzWxTLwb1mG+vEFtGnhcRt2R2xS0BHVJU6x3YUOBsJLfvh1s35z681QjGEhkaNISA6gfa0qTuamEP32sF9jsb5SFz9SNGZ6fKGF7Dtqyzeco6radz7+0qRKfbpmW5AJVUq2bd0cjWZO8rOyk7ZvQJxold8NrZ/XIl3/fpnOLjcmXshD32lJzsmlWdlPValPSPUFJCK82J/z1BmsHG82JonFs12PjHYTi90/dgP4PxHpXqFqmrjVJKcrZZ3HPhrRFap8LENsTpixLq6BpFzEenWynxYGYPRpN9XJwIFNNW+IsDtEIp05WcWSCSnQfB2WLVJ1ITvN4mBqFTsY4evXmHc7EaGRMmTnoQiafUhV8T9PJJaHG9+9PuZDQV8XDzNUMsiqvjkP7D4OY7btMW/HWhVzIaxnotGQQjW8hl1tT3Mj/ADfK/OA=AQAAAACAAABABgAALwYAAA==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AQAAAACAAABABgAAnwQAAA==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AQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==eJxt2D1IlmEUxvE3KNqKtiJosyWMtoLe5+jm0FJDSbg0Bg3h0odBSFtBVEsfUBC12GIRtPShLS0tQiEVJAoFQURUIhmWdg5enA7PPyH4gfL2vPdzznWf++50On0d/dybXbErY6NP2x4/u2IHrneetb19ZtneP+mH9y79saHBUbjn3W8b2nUb7j25ZB/mJuHx6V/2/cgsvGnhp10eW4anphfsy5sNE20Pn5q3kd3b4Msz32zj8V54et1XezXShRe/f7bFQ/vgyTufbGLlMLxmy0cbHj4K3zk4Z8fGTsDXDr+3C/vPwXM9b+3HjvPwxSev7eHHS/CzrVO2+fRV+MbASxv5dBMe6n9he3behQfWP7en++7BD249tjN2H55f+8j8H+y/N/872D/P/HNh///NnwP25zV/bti/n/n3hH09zNcF9vUzX0fY19t83WF/P+bvCfb3af5eYX//5nUAe72Y1w3s9WVeZ7DXo3ldwl6/5nUMe72b1z3s/dF4n8DeT433Fez913gfwt6vjfctPTjaeJ/DngeN5wLs+dF4jsCeN13PHVg/k21HPpW/T0c+lc9PRz6V50lHPpXn/2fPp/J905FPZX3SkU9lPdORT2X905FP5X2lI5/K+01HPpV6SEc+lfpJRz6VektHPpX6TEc+lXpORz6V+k9HPpV+SUc+lf5KRz6VfkxHPpX+TUc+lX5PRz6VfEhHPpU8SUc+lfxJRz6VvErH70u+pePzSh6m4/8v+ZmO5y15m47vV/I5HetR8jwd61fyPx3rXfaLdLyfsr+k432W/Sgd77/sX+mol7LfpaO+yv6Yjnos+2k66rfsv+mo97Jfp6M/yv6ejn4q80A6+q/MD+no1zJvpKO/y3ySjjwo80w68qPMP+nImzIvpTv/yaryN9229ZlN23oGWM8M6zvCWhNYawhrzWG9I2tb7xRWDcCqGVg1BqsmYdUwrJqH1SOwegpWD8LqWVg9DisTYGUIrMyBlVGwMg1WBsLKTFgZCyuTYWU4rMyHtUfA2lNg7UGw9ixYexysPRHWHgprz4W1R8Pa02HNALBmBlgzBr06k8CaYWDNPLBmJFg/fW1rBrO2NbPBmvFgzYT06gwJa+aENaPCmmlhzcCwZmZYMzasmRzWDA9r5od1RoB1poB1BoF1ZoF1xoF1JoJ1hoJ15oJ1RoN1poN1BoR1ZoR1xoR1JoV1hoV15oV1RoZ1poZ1Bod1Zod1xod1JwDrDgHWnQOsOwpYdxqw7kBg3Zk0beuOBdadDKw7HFh3PrDuiGDdKcG6g+q23SlZ9RcRPekTAQAAAACAAACADAAAkgIAAA==eJw11WODEAYAgOF8l23b7rJ1GdddtnHZtnHVvNpqy21hy7Ztt4Whtmz3oaf3y/MT3kiRPhWZURiV0RidMRjAQMZkLMZmHMZlPMZnAiZkIiZmEiZlMiZnCqZkKqZmGqZlOqZnBmZkJmZmFmZlNmZnDuZkLuZmHuZlPuZnARZkIRZmEQaxKIuxOEuwJEuxNMuwLMuxPCuwIiuxMquwKoNZjdVZgzVZi7VZh3VZj/UZwgYMZRgbshEbswmbshmbswVbshVbsw3bsh3bswM7shM7swu7shvD2Z092JO92Jt92Jf92J8DOJCDOJhDOJTDOJwjOJKjOJpjOJbjOJ4TOJGTOJlTOJXTOJ0zGMGZnMXZ/IJf8it+zW/4Lb/j95zDufyBP3Ie5/Mn/swFXMhFXMwlXMplXM5f+CtXcCVXcTV/4+9cw7Vcx/XcwI3cxM3cwq3cxu3cwZ3cxd3cw73cx/08wIM8xMM8wqM8xuM8wZM8xdM8w7M8x/O8wIu8xMu8wqu8xuv8g3/yBm/yFm/zL/7Nf/gv7/Au/+P/vMf7fMCHfMTHfMKnfMbnfMGXfMXXfMO3fMf3/MDP44/MKIzKaIzOGAxgIGMyFmMzDuMyHuMzARMyERMzCZMyGZMzBVMyFVMzDdMyHdMzAzMyEzMzC7MyG7MzB3MyF3MzD/MyH/OzAAuyEAuzCINYlMVYnCVYkqVYmmVYluVYnhVYkZVYmVVYlcGsxuqswZqsxdqsw7qsx/oMYQOGMowN2YiN2YRN2YzN2YIt2Yqt2YZt2Y7t2YEd2Ymd2YVd2Y3h7M4e7Mle7M0+7Mt+7M8BHMhBHMwhHMphHM4RHMlRHM0xHMtxHM8JnMhJnMwpnMppnM4ZjOBHXq+oSQ==AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
37
+ </AppendedData>
38
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0660_Kn0p32Ma2p9/surf/geom.surf ADDED
@@ -0,0 +1,610 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Surface element file written by SPARTA
2
+
3
+ 400 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
+ 1 0.5 0
9
+ 2 0.499753280182866 -0.0157053795390643
10
+ 3 0.499753280182866 -0.0157053795390643
11
+ 4 0.499013364214136 -0.0313952597646568
12
+ 5 0.499013364214136 -0.0313952597646568
13
+ 6 0.49778098230154 -0.0470541566592573
14
+ 7 0.49778098230154 -0.0470541566592573
15
+ 8 0.496057350657239 -0.0626666167821523
16
+ 9 0.496057350657239 -0.0626666167821523
17
+ 10 0.493844170297569 -0.0782172325201156
18
+ 11 0.493844170297569 -0.0782172325201156
19
+ 12 0.491143625364344 -0.0936906572928624
20
+ 13 0.491143625364344 -0.0936906572928624
21
+ 14 0.487958380969374 -0.109071620698271
22
+ 15 0.487958380969374 -0.109071620698271
23
+ 16 0.484291580564315 -0.124344943582427
24
+ 17 0.484291580564315 -0.124344943582427
25
+ 18 0.480146842838471 -0.139495553019615
26
+ 19 0.480146842838471 -0.139495553019615
27
+ 20 0.475528258147577 -0.154508497187474
28
+ 21 0.475528258147577 -0.154508497187474
29
+ 22 0.470440384477113 -0.169368960122646
30
+ 23 0.470440384477113 -0.169368960122646
31
+ 24 0.464888242944126 -0.184062276342339
32
+ 25 0.464888242944126 -0.184062276342339
33
+ 26 0.458877312841991 -0.19857394531739
34
+ 27 0.458877312841991 -0.19857394531739
35
+ 28 0.45241352623301 -0.212889645782536
36
+ 29 0.45241352623301 -0.212889645782536
37
+ 30 0.445503262094184 -0.226995249869774
38
+ 31 0.445503262094184 -0.226995249869774
39
+ 32 0.438153340021932 -0.240876837050858
40
+ 33 0.438153340021932 -0.240876837050858
41
+ 34 0.430371013501972 -0.254520707875186
42
+ 35 0.430371013501972 -0.254520707875186
43
+ 36 0.422163962751007 -0.267913397489498
44
+ 37 0.422163962751007 -0.267913397489498
45
+ 38 0.413540287137281 -0.281041688926065
46
+ 39 0.413540287137281 -0.281041688926065
47
+ 40 0.404508497187474 -0.293892626146237
48
+ 41 0.404508497187474 -0.293892626146237
49
+ 42 0.395077506187845 -0.306453526826488
50
+ 43 0.395077506187845 -0.306453526826488
51
+ 44 0.385256621387895 -0.318711994874345
52
+ 45 0.385256621387895 -0.318711994874345
53
+ 46 0.37505553481523 -0.330655932661826
54
+ 47 0.37505553481523 -0.330655932661826
55
+ 48 0.364484313710706 -0.342273552964344
56
+ 49 0.364484313710706 -0.342273552964344
57
+ 50 0.353553390593274 -0.353553390593274
58
+ 51 0.353553390593274 -0.353553390593274
59
+ 52 0.342273552964344 -0.364484313710706
60
+ 53 0.342273552964344 -0.364484313710706
61
+ 54 0.330655932661826 -0.37505553481523
62
+ 55 0.330655932661826 -0.37505553481523
63
+ 56 0.318711994874345 -0.385256621387895
64
+ 57 0.318711994874345 -0.385256621387895
65
+ 58 0.306453526826488 -0.395077506187845
66
+ 59 0.306453526826488 -0.395077506187845
67
+ 60 0.293892626146236 -0.404508497187474
68
+ 61 0.293892626146236 -0.404508497187474
69
+ 62 0.281041688926065 -0.413540287137281
70
+ 63 0.281041688926065 -0.413540287137281
71
+ 64 0.267913397489498 -0.422163962751008
72
+ 65 0.267913397489498 -0.422163962751008
73
+ 66 0.254520707875185 -0.430371013501972
74
+ 67 0.254520707875185 -0.430371013501972
75
+ 68 0.240876837050857 -0.438153340021932
76
+ 69 0.240876837050857 -0.438153340021932
77
+ 70 0.226995249869773 -0.445503262094184
78
+ 71 0.226995249869773 -0.445503262094184
79
+ 72 0.212889645782536 -0.45241352623301
80
+ 73 0.212889645782536 -0.45241352623301
81
+ 74 0.19857394531739 -0.458877312841991
82
+ 75 0.19857394531739 -0.458877312841991
83
+ 76 0.184062276342339 -0.464888242944126
84
+ 77 0.184062276342339 -0.464888242944126
85
+ 78 0.169368960122645 -0.470440384477113
86
+ 79 0.169368960122645 -0.470440384477113
87
+ 80 0.154508497187474 -0.475528258147577
88
+ 81 0.154508497187474 -0.475528258147577
89
+ 82 0.139495553019614 -0.480146842838472
90
+ 83 0.139495553019614 -0.480146842838472
91
+ 84 0.124344943582427 -0.484291580564316
92
+ 85 0.124344943582427 -0.484291580564316
93
+ 86 0.109071620698271 -0.487958380969374
94
+ 87 0.109071620698271 -0.487958380969374
95
+ 88 0.0936906572928621 -0.491143625364344
96
+ 89 0.0936906572928621 -0.491143625364344
97
+ 90 0.0782172325201152 -0.493844170297569
98
+ 91 0.0782172325201152 -0.493844170297569
99
+ 92 0.062666616782152 -0.496057350657239
100
+ 93 0.062666616782152 -0.496057350657239
101
+ 94 0.047054156659257 -0.49778098230154
102
+ 95 0.047054156659257 -0.49778098230154
103
+ 96 0.0313952597646565 -0.499013364214136
104
+ 97 0.0313952597646565 -0.499013364214136
105
+ 98 0.015705379539064 -0.499753280182866
106
+ 99 0.015705379539064 -0.499753280182866
107
+ 100 0 -0.5
108
+ 101 0 -0.5
109
+ 102 -0.0157053795390643 -0.499753280182866
110
+ 103 -0.0157053795390643 -0.499753280182866
111
+ 104 -0.0313952597646568 -0.499013364214136
112
+ 105 -0.0313952597646568 -0.499013364214136
113
+ 106 -0.0470541566592573 -0.49778098230154
114
+ 107 -0.0470541566592573 -0.49778098230154
115
+ 108 -0.0626666167821523 -0.496057350657239
116
+ 109 -0.0626666167821523 -0.496057350657239
117
+ 110 -0.0782172325201156 -0.493844170297569
118
+ 111 -0.0782172325201156 -0.493844170297569
119
+ 112 -0.0936906572928625 -0.491143625364344
120
+ 113 -0.0936906572928625 -0.491143625364344
121
+ 114 -0.109071620698271 -0.487958380969374
122
+ 115 -0.109071620698271 -0.487958380969374
123
+ 116 -0.124344943582428 -0.484291580564315
124
+ 117 -0.124344943582428 -0.484291580564315
125
+ 118 -0.139495553019615 -0.480146842838471
126
+ 119 -0.139495553019615 -0.480146842838471
127
+ 120 -0.154508497187474 -0.475528258147577
128
+ 121 -0.154508497187474 -0.475528258147577
129
+ 122 -0.169368960122646 -0.470440384477113
130
+ 123 -0.169368960122646 -0.470440384477113
131
+ 124 -0.184062276342339 -0.464888242944126
132
+ 125 -0.184062276342339 -0.464888242944126
133
+ 126 -0.19857394531739 -0.458877312841991
134
+ 127 -0.19857394531739 -0.458877312841991
135
+ 128 -0.212889645782536 -0.45241352623301
136
+ 129 -0.212889645782536 -0.45241352623301
137
+ 130 -0.226995249869774 -0.445503262094184
138
+ 131 -0.226995249869774 -0.445503262094184
139
+ 132 -0.240876837050858 -0.438153340021932
140
+ 133 -0.240876837050858 -0.438153340021932
141
+ 134 -0.254520707875186 -0.430371013501972
142
+ 135 -0.254520707875186 -0.430371013501972
143
+ 136 -0.267913397489499 -0.422163962751007
144
+ 137 -0.267913397489499 -0.422163962751007
145
+ 138 -0.281041688926066 -0.413540287137281
146
+ 139 -0.281041688926066 -0.413540287137281
147
+ 140 -0.293892626146237 -0.404508497187474
148
+ 141 -0.293892626146237 -0.404508497187474
149
+ 142 -0.306453526826488 -0.395077506187845
150
+ 143 -0.306453526826488 -0.395077506187845
151
+ 144 -0.318711994874345 -0.385256621387895
152
+ 145 -0.318711994874345 -0.385256621387895
153
+ 146 -0.330655932661826 -0.37505553481523
154
+ 147 -0.330655932661826 -0.37505553481523
155
+ 148 -0.342273552964344 -0.364484313710706
156
+ 149 -0.342273552964344 -0.364484313710706
157
+ 150 -0.353553390593274 -0.353553390593274
158
+ 151 -0.353553390593274 -0.353553390593274
159
+ 152 -0.364484313710706 -0.342273552964344
160
+ 153 -0.364484313710706 -0.342273552964344
161
+ 154 -0.37505553481523 -0.330655932661826
162
+ 155 -0.37505553481523 -0.330655932661826
163
+ 156 -0.385256621387895 -0.318711994874345
164
+ 157 -0.385256621387895 -0.318711994874345
165
+ 158 -0.395077506187845 -0.306453526826488
166
+ 159 -0.395077506187845 -0.306453526826488
167
+ 160 -0.404508497187474 -0.293892626146237
168
+ 161 -0.404508497187474 -0.293892626146237
169
+ 162 -0.413540287137281 -0.281041688926065
170
+ 163 -0.413540287137281 -0.281041688926065
171
+ 164 -0.422163962751008 -0.267913397489498
172
+ 165 -0.422163962751008 -0.267913397489498
173
+ 166 -0.430371013501972 -0.254520707875185
174
+ 167 -0.430371013501972 -0.254520707875185
175
+ 168 -0.438153340021932 -0.240876837050857
176
+ 169 -0.438153340021932 -0.240876837050857
177
+ 170 -0.445503262094184 -0.226995249869773
178
+ 171 -0.445503262094184 -0.226995249869773
179
+ 172 -0.45241352623301 -0.212889645782536
180
+ 173 -0.45241352623301 -0.212889645782536
181
+ 174 -0.458877312841991 -0.19857394531739
182
+ 175 -0.458877312841991 -0.19857394531739
183
+ 176 -0.464888242944126 -0.184062276342339
184
+ 177 -0.464888242944126 -0.184062276342339
185
+ 178 -0.470440384477113 -0.169368960122645
186
+ 179 -0.470440384477113 -0.169368960122645
187
+ 180 -0.475528258147577 -0.154508497187473
188
+ 181 -0.475528258147577 -0.154508497187473
189
+ 182 -0.480146842838472 -0.139495553019614
190
+ 183 -0.480146842838472 -0.139495553019614
191
+ 184 -0.484291580564316 -0.124344943582427
192
+ 185 -0.484291580564316 -0.124344943582427
193
+ 186 -0.487958380969374 -0.109071620698271
194
+ 187 -0.487958380969374 -0.109071620698271
195
+ 188 -0.491143625364344 -0.0936906572928622
196
+ 189 -0.491143625364344 -0.0936906572928622
197
+ 190 -0.493844170297569 -0.0782172325201151
198
+ 191 -0.493844170297569 -0.0782172325201151
199
+ 192 -0.496057350657239 -0.0626666167821519
200
+ 193 -0.496057350657239 -0.0626666167821519
201
+ 194 -0.49778098230154 -0.0470541566592571
202
+ 195 -0.49778098230154 -0.0470541566592571
203
+ 196 -0.499013364214136 -0.0313952597646564
204
+ 197 -0.499013364214136 -0.0313952597646564
205
+ 198 -0.499753280182866 -0.015705379539064
206
+ 199 -0.499753280182866 -0.015705379539064
207
+ 200 -0.5 0
208
+ 201 -0.5 0
209
+ 202 -0.499753280182866 0.0157053795390643
210
+ 203 -0.499753280182866 0.0157053795390643
211
+ 204 -0.499013364214136 0.0313952597646568
212
+ 205 -0.499013364214136 0.0313952597646568
213
+ 206 -0.49778098230154 0.0470541566592574
214
+ 207 -0.49778098230154 0.0470541566592574
215
+ 208 -0.496057350657239 0.0626666167821523
216
+ 209 -0.496057350657239 0.0626666167821523
217
+ 210 -0.493844170297569 0.0782172325201157
218
+ 211 -0.493844170297569 0.0782172325201157
219
+ 212 -0.491143625364344 0.0936906572928625
220
+ 213 -0.491143625364344 0.0936906572928625
221
+ 214 -0.487958380969374 0.109071620698271
222
+ 215 -0.487958380969374 0.109071620698271
223
+ 216 -0.484291580564315 0.124344943582428
224
+ 217 -0.484291580564315 0.124344943582428
225
+ 218 -0.480146842838471 0.139495553019615
226
+ 219 -0.480146842838471 0.139495553019615
227
+ 220 -0.475528258147577 0.154508497187474
228
+ 221 -0.475528258147577 0.154508497187474
229
+ 222 -0.470440384477113 0.169368960122646
230
+ 223 -0.470440384477113 0.169368960122646
231
+ 224 -0.464888242944126 0.184062276342339
232
+ 225 -0.464888242944126 0.184062276342339
233
+ 226 -0.458877312841991 0.198573945317391
234
+ 227 -0.458877312841991 0.198573945317391
235
+ 228 -0.45241352623301 0.212889645782536
236
+ 229 -0.45241352623301 0.212889645782536
237
+ 230 -0.445503262094184 0.226995249869774
238
+ 231 -0.445503262094184 0.226995249869774
239
+ 232 -0.438153340021932 0.240876837050858
240
+ 233 -0.438153340021932 0.240876837050858
241
+ 234 -0.430371013501972 0.254520707875186
242
+ 235 -0.430371013501972 0.254520707875186
243
+ 236 -0.422163962751007 0.267913397489498
244
+ 237 -0.422163962751007 0.267913397489498
245
+ 238 -0.413540287137281 0.281041688926065
246
+ 239 -0.413540287137281 0.281041688926065
247
+ 240 -0.404508497187474 0.293892626146237
248
+ 241 -0.404508497187474 0.293892626146237
249
+ 242 -0.395077506187845 0.306453526826488
250
+ 243 -0.395077506187845 0.306453526826488
251
+ 244 -0.385256621387895 0.318711994874345
252
+ 245 -0.385256621387895 0.318711994874345
253
+ 246 -0.37505553481523 0.330655932661826
254
+ 247 -0.37505553481523 0.330655932661826
255
+ 248 -0.364484313710706 0.342273552964344
256
+ 249 -0.364484313710706 0.342273552964344
257
+ 250 -0.353553390593274 0.353553390593274
258
+ 251 -0.353553390593274 0.353553390593274
259
+ 252 -0.342273552964344 0.364484313710706
260
+ 253 -0.342273552964344 0.364484313710706
261
+ 254 -0.330655932661826 0.37505553481523
262
+ 255 -0.330655932661826 0.37505553481523
263
+ 256 -0.318711994874345 0.385256621387895
264
+ 257 -0.318711994874345 0.385256621387895
265
+ 258 -0.306453526826488 0.395077506187845
266
+ 259 -0.306453526826488 0.395077506187845
267
+ 260 -0.293892626146237 0.404508497187474
268
+ 261 -0.293892626146237 0.404508497187474
269
+ 262 -0.281041688926065 0.413540287137281
270
+ 263 -0.281041688926065 0.413540287137281
271
+ 264 -0.267913397489498 0.422163962751008
272
+ 265 -0.267913397489498 0.422163962751008
273
+ 266 -0.254520707875185 0.430371013501972
274
+ 267 -0.254520707875185 0.430371013501972
275
+ 268 -0.240876837050857 0.438153340021932
276
+ 269 -0.240876837050857 0.438153340021932
277
+ 270 -0.226995249869773 0.445503262094184
278
+ 271 -0.226995249869773 0.445503262094184
279
+ 272 -0.212889645782536 0.45241352623301
280
+ 273 -0.212889645782536 0.45241352623301
281
+ 274 -0.19857394531739 0.458877312841991
282
+ 275 -0.19857394531739 0.458877312841991
283
+ 276 -0.184062276342339 0.464888242944126
284
+ 277 -0.184062276342339 0.464888242944126
285
+ 278 -0.169368960122646 0.470440384477113
286
+ 279 -0.169368960122646 0.470440384477113
287
+ 280 -0.154508497187474 0.475528258147577
288
+ 281 -0.154508497187474 0.475528258147577
289
+ 282 -0.139495553019614 0.480146842838472
290
+ 283 -0.139495553019614 0.480146842838472
291
+ 284 -0.124344943582427 0.484291580564316
292
+ 285 -0.124344943582427 0.484291580564316
293
+ 286 -0.109071620698271 0.487958380969374
294
+ 287 -0.109071620698271 0.487958380969374
295
+ 288 -0.0936906572928622 0.491143625364344
296
+ 289 -0.0936906572928622 0.491143625364344
297
+ 290 -0.0782172325201154 0.493844170297569
298
+ 291 -0.0782172325201154 0.493844170297569
299
+ 292 -0.0626666167821517 0.496057350657239
300
+ 293 -0.0626666167821517 0.496057350657239
301
+ 294 -0.0470541566592569 0.49778098230154
302
+ 295 -0.0470541566592569 0.49778098230154
303
+ 296 -0.0313952597646565 0.499013364214136
304
+ 297 -0.0313952597646565 0.499013364214136
305
+ 298 -0.015705379539064 0.499753280182866
306
+ 299 -0.015705379539064 0.499753280182866
307
+ 300 0 0.5
308
+ 301 0 0.5
309
+ 302 0.0157053795390645 0.499753280182866
310
+ 303 0.0157053795390645 0.499753280182866
311
+ 304 0.031395259764657 0.499013364214136
312
+ 305 0.031395259764657 0.499013364214136
313
+ 306 0.0470541566592574 0.49778098230154
314
+ 307 0.0470541566592574 0.49778098230154
315
+ 308 0.0626666167821522 0.496057350657239
316
+ 309 0.0626666167821522 0.496057350657239
317
+ 310 0.0782172325201155 0.493844170297569
318
+ 311 0.0782172325201155 0.493844170297569
319
+ 312 0.0936906572928627 0.491143625364344
320
+ 313 0.0936906572928627 0.491143625364344
321
+ 314 0.109071620698272 0.487958380969374
322
+ 315 0.109071620698272 0.487958380969374
323
+ 316 0.124344943582428 0.484291580564315
324
+ 317 0.124344943582428 0.484291580564315
325
+ 318 0.139495553019615 0.480146842838471
326
+ 319 0.139495553019615 0.480146842838471
327
+ 320 0.154508497187474 0.475528258147577
328
+ 321 0.154508497187474 0.475528258147577
329
+ 322 0.169368960122646 0.470440384477113
330
+ 323 0.169368960122646 0.470440384477113
331
+ 324 0.184062276342339 0.464888242944126
332
+ 325 0.184062276342339 0.464888242944126
333
+ 326 0.198573945317391 0.458877312841991
334
+ 327 0.198573945317391 0.458877312841991
335
+ 328 0.212889645782536 0.45241352623301
336
+ 329 0.212889645782536 0.45241352623301
337
+ 330 0.226995249869774 0.445503262094184
338
+ 331 0.226995249869774 0.445503262094184
339
+ 332 0.240876837050858 0.438153340021932
340
+ 333 0.240876837050858 0.438153340021932
341
+ 334 0.254520707875186 0.430371013501972
342
+ 335 0.254520707875186 0.430371013501972
343
+ 336 0.267913397489498 0.422163962751007
344
+ 337 0.267913397489498 0.422163962751007
345
+ 338 0.281041688926065 0.413540287137281
346
+ 339 0.281041688926065 0.413540287137281
347
+ 340 0.293892626146237 0.404508497187473
348
+ 341 0.293892626146237 0.404508497187473
349
+ 342 0.306453526826489 0.395077506187845
350
+ 343 0.306453526826489 0.395077506187845
351
+ 344 0.318711994874345 0.385256621387895
352
+ 345 0.318711994874345 0.385256621387895
353
+ 346 0.330655932661826 0.37505553481523
354
+ 347 0.330655932661826 0.37505553481523
355
+ 348 0.342273552964344 0.364484313710706
356
+ 349 0.342273552964344 0.364484313710706
357
+ 350 0.353553390593274 0.353553390593273
358
+ 351 0.353553390593274 0.353553390593273
359
+ 352 0.364484313710706 0.342273552964344
360
+ 353 0.364484313710706 0.342273552964344
361
+ 354 0.37505553481523 0.330655932661826
362
+ 355 0.37505553481523 0.330655932661826
363
+ 356 0.385256621387895 0.318711994874345
364
+ 357 0.385256621387895 0.318711994874345
365
+ 358 0.395077506187845 0.306453526826488
366
+ 359 0.395077506187845 0.306453526826488
367
+ 360 0.404508497187474 0.293892626146236
368
+ 361 0.404508497187474 0.293892626146236
369
+ 362 0.413540287137281 0.281041688926065
370
+ 363 0.413540287137281 0.281041688926065
371
+ 364 0.422163962751008 0.267913397489498
372
+ 365 0.422163962751008 0.267913397489498
373
+ 366 0.430371013501972 0.254520707875185
374
+ 367 0.430371013501972 0.254520707875185
375
+ 368 0.438153340021932 0.240876837050858
376
+ 369 0.438153340021932 0.240876837050858
377
+ 370 0.445503262094184 0.226995249869773
378
+ 371 0.445503262094184 0.226995249869773
379
+ 372 0.45241352623301 0.212889645782536
380
+ 373 0.45241352623301 0.212889645782536
381
+ 374 0.458877312841991 0.19857394531739
382
+ 375 0.458877312841991 0.19857394531739
383
+ 376 0.464888242944126 0.184062276342339
384
+ 377 0.464888242944126 0.184062276342339
385
+ 378 0.470440384477113 0.169368960122646
386
+ 379 0.470440384477113 0.169368960122646
387
+ 380 0.475528258147577 0.154508497187473
388
+ 381 0.475528258147577 0.154508497187473
389
+ 382 0.480146842838472 0.139495553019614
390
+ 383 0.480146842838472 0.139495553019614
391
+ 384 0.484291580564316 0.124344943582427
392
+ 385 0.484291580564316 0.124344943582427
393
+ 386 0.487958380969374 0.109071620698271
394
+ 387 0.487958380969374 0.109071620698271
395
+ 388 0.491143625364344 0.0936906572928622
396
+ 389 0.491143625364344 0.0936906572928622
397
+ 390 0.493844170297569 0.078217232520115
398
+ 391 0.493844170297569 0.078217232520115
399
+ 392 0.496057350657239 0.0626666167821518
400
+ 393 0.496057350657239 0.0626666167821518
401
+ 394 0.49778098230154 0.0470541566592569
402
+ 395 0.49778098230154 0.0470541566592569
403
+ 396 0.499013364214136 0.0313952597646565
404
+ 397 0.499013364214136 0.0313952597646565
405
+ 398 0.499753280182866 0.0157053795390641
406
+ 399 0.499753280182866 0.0157053795390641
407
+ 400 0.5 0
408
+
409
+ Lines
410
+
411
+ 1 1 2
412
+ 2 3 4
413
+ 3 5 6
414
+ 4 7 8
415
+ 5 9 10
416
+ 6 11 12
417
+ 7 13 14
418
+ 8 15 16
419
+ 9 17 18
420
+ 10 19 20
421
+ 11 21 22
422
+ 12 23 24
423
+ 13 25 26
424
+ 14 27 28
425
+ 15 29 30
426
+ 16 31 32
427
+ 17 33 34
428
+ 18 35 36
429
+ 19 37 38
430
+ 20 39 40
431
+ 21 41 42
432
+ 22 43 44
433
+ 23 45 46
434
+ 24 47 48
435
+ 25 49 50
436
+ 26 51 52
437
+ 27 53 54
438
+ 28 55 56
439
+ 29 57 58
440
+ 30 59 60
441
+ 31 61 62
442
+ 32 63 64
443
+ 33 65 66
444
+ 34 67 68
445
+ 35 69 70
446
+ 36 71 72
447
+ 37 73 74
448
+ 38 75 76
449
+ 39 77 78
450
+ 40 79 80
451
+ 41 81 82
452
+ 42 83 84
453
+ 43 85 86
454
+ 44 87 88
455
+ 45 89 90
456
+ 46 91 92
457
+ 47 93 94
458
+ 48 95 96
459
+ 49 97 98
460
+ 50 99 100
461
+ 51 101 102
462
+ 52 103 104
463
+ 53 105 106
464
+ 54 107 108
465
+ 55 109 110
466
+ 56 111 112
467
+ 57 113 114
468
+ 58 115 116
469
+ 59 117 118
470
+ 60 119 120
471
+ 61 121 122
472
+ 62 123 124
473
+ 63 125 126
474
+ 64 127 128
475
+ 65 129 130
476
+ 66 131 132
477
+ 67 133 134
478
+ 68 135 136
479
+ 69 137 138
480
+ 70 139 140
481
+ 71 141 142
482
+ 72 143 144
483
+ 73 145 146
484
+ 74 147 148
485
+ 75 149 150
486
+ 76 151 152
487
+ 77 153 154
488
+ 78 155 156
489
+ 79 157 158
490
+ 80 159 160
491
+ 81 161 162
492
+ 82 163 164
493
+ 83 165 166
494
+ 84 167 168
495
+ 85 169 170
496
+ 86 171 172
497
+ 87 173 174
498
+ 88 175 176
499
+ 89 177 178
500
+ 90 179 180
501
+ 91 181 182
502
+ 92 183 184
503
+ 93 185 186
504
+ 94 187 188
505
+ 95 189 190
506
+ 96 191 192
507
+ 97 193 194
508
+ 98 195 196
509
+ 99 197 198
510
+ 100 199 200
511
+ 101 201 202
512
+ 102 203 204
513
+ 103 205 206
514
+ 104 207 208
515
+ 105 209 210
516
+ 106 211 212
517
+ 107 213 214
518
+ 108 215 216
519
+ 109 217 218
520
+ 110 219 220
521
+ 111 221 222
522
+ 112 223 224
523
+ 113 225 226
524
+ 114 227 228
525
+ 115 229 230
526
+ 116 231 232
527
+ 117 233 234
528
+ 118 235 236
529
+ 119 237 238
530
+ 120 239 240
531
+ 121 241 242
532
+ 122 243 244
533
+ 123 245 246
534
+ 124 247 248
535
+ 125 249 250
536
+ 126 251 252
537
+ 127 253 254
538
+ 128 255 256
539
+ 129 257 258
540
+ 130 259 260
541
+ 131 261 262
542
+ 132 263 264
543
+ 133 265 266
544
+ 134 267 268
545
+ 135 269 270
546
+ 136 271 272
547
+ 137 273 274
548
+ 138 275 276
549
+ 139 277 278
550
+ 140 279 280
551
+ 141 281 282
552
+ 142 283 284
553
+ 143 285 286
554
+ 144 287 288
555
+ 145 289 290
556
+ 146 291 292
557
+ 147 293 294
558
+ 148 295 296
559
+ 149 297 298
560
+ 150 299 300
561
+ 151 301 302
562
+ 152 303 304
563
+ 153 305 306
564
+ 154 307 308
565
+ 155 309 310
566
+ 156 311 312
567
+ 157 313 314
568
+ 158 315 316
569
+ 159 317 318
570
+ 160 319 320
571
+ 161 321 322
572
+ 162 323 324
573
+ 163 325 326
574
+ 164 327 328
575
+ 165 329 330
576
+ 166 331 332
577
+ 167 333 334
578
+ 168 335 336
579
+ 169 337 338
580
+ 170 339 340
581
+ 171 341 342
582
+ 172 343 344
583
+ 173 345 346
584
+ 174 347 348
585
+ 175 349 350
586
+ 176 351 352
587
+ 177 353 354
588
+ 178 355 356
589
+ 179 357 358
590
+ 180 359 360
591
+ 181 361 362
592
+ 182 363 364
593
+ 183 365 366
594
+ 184 367 368
595
+ 185 369 370
596
+ 186 371 372
597
+ 187 373 374
598
+ 188 375 376
599
+ 189 377 378
600
+ 190 379 380
601
+ 191 381 382
602
+ 192 383 384
603
+ 193 385 386
604
+ 194 387 388
605
+ 195 389 390
606
+ 196 391 392
607
+ 197 393 394
608
+ 198 395 396
609
+ 199 397 398
610
+ 200 399 400
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Grid.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Grid/Grid_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Lambda.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Lambda/Lambda_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Lambda/Lambda_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Lambda/Lambda_1_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Lambda/Lambda_2_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="3345" NumberOfCells="3166" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="13701" RangeMax="145661" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.9599" RangeMax="2.9891" offset="6540" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="3.02" RangeMax="4.96" offset="8788" />
11
+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.014788" RangeMax="0.025932" offset="9280" />
12
+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.18686" RangeMax="0.64422" offset="24556" />
13
+ </CellData>
14
+ <Points>
15
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="3.0000554988" RangeMax="7.0710678119" offset="40580" />
16
+ </Points>
17
+ <Cells>
18
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="53520" />
19
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="76772" />
20
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="82380" />
21
+ </Cells>
22
+ </Piece>
23
+ </UnstructuredGrid>
24
+ <AppendedData encoding="base64">
25
+ _AQAAAACAAADwYgAAFxMAAA==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eJzt2ytMw1AUgGEk63gzPWzR6Ca4YZmeRg8Lunoa7Kanq8GCnp4edmh6zwk7CTkQXsvpkv+aT/yma7O79d62X3XLxeX2eR9/5Olg9LDMzdvOtDe/Mel0Op3ezB71u/GapwPCv/r8lIZ5Up/dqttaSafT6XS/R8/f797fpdHCf/a6yGbjofm4TCfcpNPp9E3t0fPrR+UwiwzXrNy+d8wrGSadTqd/1qPnr+9aH3z9CTBKWa6tTL0s7ZV0Oj2uR88Pv1WW38o2Nsy0GpkPTPn7MDXp9Cb36O/PutT9+x3ccLdkmPo8hEn/ukdfv6ao+5mI6Kn7JbuI6KjrwnuI6KjrbYjoqesv+4joqOsXB4joqOt5iOg5GaYbdUT01PemENHzIj0O0TtEREd9XwkRPV/SY2cLRPSUbfTiCBEdZRtkhIiechsyR0TPMxnHiOhYynthiOiZ7kKyGSJ6vgFolywYAQAAAACAAADwYgAArSwAAA==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AQAAAACAAADwYgAA3i4AAA==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AgAAAACAAADMHAAA4x4AAPEGAAA=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AQAAAACAAADwYgAAWxAAAA==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AQAAAACAAABeDAAAGwAAAA==eJztwSEBAAAAwyC9/oVf4hIoAACAhwGvp29P
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Lambda/Lambda_300000.pvtu ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <PUnstructuredGrid GhostLevel="0">
6
+ <PCellData>
7
+ <PDataArray type="Float64" Name="id"/>
8
+ <PDataArray type="Float64" Name="xc"/>
9
+ <PDataArray type="Float64" Name="yc"/>
10
+ <PDataArray type="Float64" Name="c_6[1]"/>
11
+ <PDataArray type="Float64" Name="c_6[2]"/>
12
+ </PCellData>
13
+ <PPoints>
14
+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
15
+ </PPoints>
16
+ <Piece Source="Lambda_0_300000.vtu"/>
17
+ <Piece Source="Lambda_1_300000.vtu"/>
18
+ <Piece Source="Lambda_2_300000.vtu"/>
19
+ <Piece Source="Lambda_3_300000.vtu"/>
20
+ </PUnstructuredGrid>
21
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Lambda/Lambda_3_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="988" NumberOfCells="925" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="13801" RangeMax="17125" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="3.0693" RangeMax="5.9599" offset="1720" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="3.04" RangeMax="4.96" offset="2260" />
11
+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.015566" RangeMax="0.03126" offset="2528" />
12
+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.19387" RangeMax="0.38933" offset="11384" />
13
+ </CellData>
14
+ <Points>
15
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.2633360563" RangeMax="7.8102496759" offset="19152" />
16
+ </Points>
17
+ <Cells>
18
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="22324" />
19
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="28568" />
20
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="30288" />
21
+ </Cells>
22
+ </Piece>
23
+ </UnstructuredGrid>
24
+ <AppendedData encoding="base64">
25
+ _AQAAAACAAADoHAAA+AQAAA==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AQAAAACAAADoHAAAtgAAAA==eJzt2KsWglAUhGGjgjeUbMZsZi2bVsk8BFa6maxVs5ls1kwmY9UsZ5/uvMC/y/cGs/ZMVq9O3WG4zfCv3ySvHh9UXs7uRihMg+ZapAEK2zK+71pU9iHVJ1WIwrWLqWSMwtfTHSqPFlQTFLqUKuMpCu3drFFpMZXPUDiwm6PQ9zxU3goX6Kj0fRiVeyswEQr9boDKt6t5HSr9vrJAob1RFSr9DoXKjd0ShX6vQ6Wt5A0qf9Hozjg=AQAAAACAAADoHAAA3hkAAA==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AQAAAACAAADoHAAArxYAAA==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AQAAAACAAABQLgAANwkAAA==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AQAAAACAAACgcwAANxIAAA==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AQAAAACAAADoHAAA9wQAAA==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AQAAAACAAACdAwAAEQAAAA==eJzj5BwFo2AUDEoAANeOIIY=
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/Surf.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Surf/Surf_300000.vtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/config.txt ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ variable BZ equal 1.380649E-23
2
+ variable PI equal 3.1415926536
3
+ variable molecular_mass equal 6.63E-26
4
+ variable molecular_diameter equal 4.17E-10
5
+ variable gamma equal 1.666666667
6
+ variable R equal ${BZ}/${molecular_mass}
7
+ variable L equal 1.0
8
+ variable xmin equal -5.0
9
+ variable xmax equal 6.0
10
+ variable ymin equal -5.0
11
+ variable ymax equal 5.0
12
+ variable Kn equal 0.32
13
+ variable Ma equal 3.0
14
+ variable To equal 273.0
15
+ variable Tb equal 273.0
16
+ variable theta equal 0.0
17
+ variable mfp equal ${Kn}*${L}
18
+ variable cpmfp equal 4
19
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
20
+ variable sos equal sqrt(${gamma}*${R}*${To})
21
+ variable vo equal ${Ma}*${sos}
22
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
23
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
24
+ variable ppc equal 30
25
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
26
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
27
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
28
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
29
+ variable nave equal 10000
30
+ variable noutput equal 300000
31
+ clear
32
+ shell mkdir output
33
+ shell mkdir grid
34
+ shell mkdir surf
35
+ seed 7
36
+ dimension 2
37
+ global nrho ${nden}
38
+ global fnum ${Fnum}
39
+ timestep ${tstep}
40
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
41
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
42
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
43
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
44
+ boundary o o p
45
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
46
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
47
+ balance_grid rcb cell
48
+ species gas.species Ar
49
+ mixture air Ar frac 1.0
50
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
51
+ collide vss air gas.vhs
52
+ collide_modify vremax 100 yes remain no nearcp yes 10
53
+ read_surf cylinder.surf
54
+ surf_collide 1 diffuse 273.0 1.0
55
+ surf_modify all collide 1
56
+ fix in emit/face air xlo ylo yhi
57
+ balance_grid rcb cell
58
+ create_particles air n 0
59
+ stats 10000
60
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
61
+ run 200000
62
+ compute 1 grid all air n nrho massrho u v w
63
+ compute 2 grid all air trot
64
+ compute 3 tvib/grid all air
65
+ compute 4 thermal/grid all air press temp
66
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
67
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
68
+ dump_modify 1 format float %12.5g
69
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
70
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
71
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
72
+ dump_modify 2 format float %12.5g
73
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
74
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
75
+ dump_modify 3 format float %12.5g
76
+ run 100000
77
+ write_grid grid/final-grid.dat
78
+ write_surf surf/geom.surf
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
+ 1 0.5 0.0
9
+ 2 0.499753280182866E+000 -0.157053795390643E-001
10
+ 3 0.499013364214136E+000 -0.313952597646568E-001
11
+ 4 0.497780982301540E+000 -0.470541566592573E-001
12
+ 5 0.496057350657239E+000 -0.626666167821523E-001
13
+ 6 0.493844170297569E+000 -0.782172325201156E-001
14
+ 7 0.491143625364344E+000 -0.936906572928624E-001
15
+ 8 0.487958380969374E+000 -0.109071620698271E+000
16
+ 9 0.484291580564315E+000 -0.124344943582427E+000
17
+ 10 0.480146842838471E+000 -0.139495553019615E+000
18
+ 11 0.475528258147577E+000 -0.154508497187474E+000
19
+ 12 0.470440384477113E+000 -0.169368960122646E+000
20
+ 13 0.464888242944126E+000 -0.184062276342339E+000
21
+ 14 0.458877312841991E+000 -0.198573945317390E+000
22
+ 15 0.452413526233010E+000 -0.212889645782536E+000
23
+ 16 0.445503262094184E+000 -0.226995249869774E+000
24
+ 17 0.438153340021932E+000 -0.240876837050858E+000
25
+ 18 0.430371013501972E+000 -0.254520707875186E+000
26
+ 19 0.422163962751007E+000 -0.267913397489498E+000
27
+ 20 0.413540287137281E+000 -0.281041688926065E+000
28
+ 21 0.404508497187474E+000 -0.293892626146237E+000
29
+ 22 0.395077506187845E+000 -0.306453526826488E+000
30
+ 23 0.385256621387895E+000 -0.318711994874345E+000
31
+ 24 0.375055534815230E+000 -0.330655932661826E+000
32
+ 25 0.364484313710706E+000 -0.342273552964344E+000
33
+ 26 0.353553390593274E+000 -0.353553390593274E+000
34
+ 27 0.342273552964344E+000 -0.364484313710706E+000
35
+ 28 0.330655932661826E+000 -0.375055534815230E+000
36
+ 29 0.318711994874345E+000 -0.385256621387895E+000
37
+ 30 0.306453526826488E+000 -0.395077506187845E+000
38
+ 31 0.293892626146236E+000 -0.404508497187474E+000
39
+ 32 0.281041688926065E+000 -0.413540287137281E+000
40
+ 33 0.267913397489498E+000 -0.422163962751008E+000
41
+ 34 0.254520707875185E+000 -0.430371013501972E+000
42
+ 35 0.240876837050857E+000 -0.438153340021932E+000
43
+ 36 0.226995249869773E+000 -0.445503262094184E+000
44
+ 37 0.212889645782536E+000 -0.452413526233010E+000
45
+ 38 0.198573945317390E+000 -0.458877312841991E+000
46
+ 39 0.184062276342339E+000 -0.464888242944126E+000
47
+ 40 0.169368960122645E+000 -0.470440384477113E+000
48
+ 41 0.154508497187474E+000 -0.475528258147577E+000
49
+ 42 0.139495553019614E+000 -0.480146842838472E+000
50
+ 43 0.124344943582427E+000 -0.484291580564316E+000
51
+ 44 0.109071620698271E+000 -0.487958380969374E+000
52
+ 45 0.936906572928621E-001 -0.491143625364344E+000
53
+ 46 0.782172325201152E-001 -0.493844170297569E+000
54
+ 47 0.626666167821520E-001 -0.496057350657239E+000
55
+ 48 0.470541566592570E-001 -0.497780982301540E+000
56
+ 49 0.313952597646565E-001 -0.499013364214136E+000
57
+ 50 0.157053795390640E-001 -0.499753280182866E+000
58
+ 51 0.0 -0.5
59
+ 52 -0.157053795390643E-001 -0.499753280182866E+000
60
+ 53 -0.313952597646568E-001 -0.499013364214136E+000
61
+ 54 -0.470541566592573E-001 -0.497780982301540E+000
62
+ 55 -0.626666167821523E-001 -0.496057350657239E+000
63
+ 56 -0.782172325201156E-001 -0.493844170297569E+000
64
+ 57 -0.936906572928625E-001 -0.491143625364344E+000
65
+ 58 -0.109071620698271E+000 -0.487958380969374E+000
66
+ 59 -0.124344943582428E+000 -0.484291580564315E+000
67
+ 60 -0.139495553019615E+000 -0.480146842838471E+000
68
+ 61 -0.154508497187474E+000 -0.475528258147577E+000
69
+ 62 -0.169368960122646E+000 -0.470440384477113E+000
70
+ 63 -0.184062276342339E+000 -0.464888242944126E+000
71
+ 64 -0.198573945317390E+000 -0.458877312841991E+000
72
+ 65 -0.212889645782536E+000 -0.452413526233010E+000
73
+ 66 -0.226995249869774E+000 -0.445503262094184E+000
74
+ 67 -0.240876837050858E+000 -0.438153340021932E+000
75
+ 68 -0.254520707875186E+000 -0.430371013501972E+000
76
+ 69 -0.267913397489499E+000 -0.422163962751007E+000
77
+ 70 -0.281041688926066E+000 -0.413540287137281E+000
78
+ 71 -0.293892626146237E+000 -0.404508497187474E+000
79
+ 72 -0.306453526826488E+000 -0.395077506187845E+000
80
+ 73 -0.318711994874345E+000 -0.385256621387895E+000
81
+ 74 -0.330655932661826E+000 -0.375055534815230E+000
82
+ 75 -0.342273552964344E+000 -0.364484313710706E+000
83
+ 76 -0.353553390593274E+000 -0.353553390593274E+000
84
+ 77 -0.364484313710706E+000 -0.342273552964344E+000
85
+ 78 -0.375055534815230E+000 -0.330655932661826E+000
86
+ 79 -0.385256621387895E+000 -0.318711994874345E+000
87
+ 80 -0.395077506187845E+000 -0.306453526826488E+000
88
+ 81 -0.404508497187474E+000 -0.293892626146237E+000
89
+ 82 -0.413540287137281E+000 -0.281041688926065E+000
90
+ 83 -0.422163962751008E+000 -0.267913397489498E+000
91
+ 84 -0.430371013501972E+000 -0.254520707875185E+000
92
+ 85 -0.438153340021932E+000 -0.240876837050857E+000
93
+ 86 -0.445503262094184E+000 -0.226995249869773E+000
94
+ 87 -0.452413526233010E+000 -0.212889645782536E+000
95
+ 88 -0.458877312841991E+000 -0.198573945317390E+000
96
+ 89 -0.464888242944126E+000 -0.184062276342339E+000
97
+ 90 -0.470440384477113E+000 -0.169368960122645E+000
98
+ 91 -0.475528258147577E+000 -0.154508497187473E+000
99
+ 92 -0.480146842838472E+000 -0.139495553019614E+000
100
+ 93 -0.484291580564316E+000 -0.124344943582427E+000
101
+ 94 -0.487958380969374E+000 -0.109071620698271E+000
102
+ 95 -0.491143625364344E+000 -0.936906572928622E-001
103
+ 96 -0.493844170297569E+000 -0.782172325201151E-001
104
+ 97 -0.496057350657239E+000 -0.626666167821519E-001
105
+ 98 -0.497780982301540E+000 -0.470541566592571E-001
106
+ 99 -0.499013364214136E+000 -0.313952597646564E-001
107
+ 100 -0.499753280182866E+000 -0.157053795390640E-001
108
+ 101 -0.5 0.0
109
+ 102 -0.499753280182866E+000 0.157053795390643E-001
110
+ 103 -0.499013364214136E+000 0.313952597646568E-001
111
+ 104 -0.497780982301540E+000 0.470541566592574E-001
112
+ 105 -0.496057350657239E+000 0.626666167821523E-001
113
+ 106 -0.493844170297569E+000 0.782172325201157E-001
114
+ 107 -0.491143625364344E+000 0.936906572928625E-001
115
+ 108 -0.487958380969374E+000 0.109071620698271E+000
116
+ 109 -0.484291580564315E+000 0.124344943582428E+000
117
+ 110 -0.480146842838471E+000 0.139495553019615E+000
118
+ 111 -0.475528258147577E+000 0.154508497187474E+000
119
+ 112 -0.470440384477113E+000 0.169368960122646E+000
120
+ 113 -0.464888242944126E+000 0.184062276342339E+000
121
+ 114 -0.458877312841991E+000 0.198573945317391E+000
122
+ 115 -0.452413526233010E+000 0.212889645782536E+000
123
+ 116 -0.445503262094184E+000 0.226995249869774E+000
124
+ 117 -0.438153340021932E+000 0.240876837050858E+000
125
+ 118 -0.430371013501972E+000 0.254520707875186E+000
126
+ 119 -0.422163962751007E+000 0.267913397489498E+000
127
+ 120 -0.413540287137281E+000 0.281041688926065E+000
128
+ 121 -0.404508497187474E+000 0.293892626146237E+000
129
+ 122 -0.395077506187845E+000 0.306453526826488E+000
130
+ 123 -0.385256621387895E+000 0.318711994874345E+000
131
+ 124 -0.375055534815230E+000 0.330655932661826E+000
132
+ 125 -0.364484313710706E+000 0.342273552964344E+000
133
+ 126 -0.353553390593274E+000 0.353553390593274E+000
134
+ 127 -0.342273552964344E+000 0.364484313710706E+000
135
+ 128 -0.330655932661826E+000 0.375055534815230E+000
136
+ 129 -0.318711994874345E+000 0.385256621387895E+000
137
+ 130 -0.306453526826488E+000 0.395077506187845E+000
138
+ 131 -0.293892626146237E+000 0.404508497187474E+000
139
+ 132 -0.281041688926065E+000 0.413540287137281E+000
140
+ 133 -0.267913397489498E+000 0.422163962751008E+000
141
+ 134 -0.254520707875185E+000 0.430371013501972E+000
142
+ 135 -0.240876837050857E+000 0.438153340021932E+000
143
+ 136 -0.226995249869773E+000 0.445503262094184E+000
144
+ 137 -0.212889645782536E+000 0.452413526233010E+000
145
+ 138 -0.198573945317390E+000 0.458877312841991E+000
146
+ 139 -0.184062276342339E+000 0.464888242944126E+000
147
+ 140 -0.169368960122646E+000 0.470440384477113E+000
148
+ 141 -0.154508497187474E+000 0.475528258147577E+000
149
+ 142 -0.139495553019614E+000 0.480146842838472E+000
150
+ 143 -0.124344943582427E+000 0.484291580564316E+000
151
+ 144 -0.109071620698271E+000 0.487958380969374E+000
152
+ 145 -0.936906572928622E-001 0.491143625364344E+000
153
+ 146 -0.782172325201154E-001 0.493844170297569E+000
154
+ 147 -0.626666167821517E-001 0.496057350657239E+000
155
+ 148 -0.470541566592569E-001 0.497780982301540E+000
156
+ 149 -0.313952597646565E-001 0.499013364214136E+000
157
+ 150 -0.157053795390640E-001 0.499753280182866E+000
158
+ 151 0.0 0.5
159
+ 152 0.157053795390645E-001 0.499753280182866E+000
160
+ 153 0.313952597646570E-001 0.499013364214136E+000
161
+ 154 0.470541566592574E-001 0.497780982301540E+000
162
+ 155 0.626666167821522E-001 0.496057350657239E+000
163
+ 156 0.782172325201155E-001 0.493844170297569E+000
164
+ 157 0.936906572928627E-001 0.491143625364344E+000
165
+ 158 0.109071620698272E+000 0.487958380969374E+000
166
+ 159 0.124344943582428E+000 0.484291580564315E+000
167
+ 160 0.139495553019615E+000 0.480146842838471E+000
168
+ 161 0.154508497187474E+000 0.475528258147577E+000
169
+ 162 0.169368960122646E+000 0.470440384477113E+000
170
+ 163 0.184062276342339E+000 0.464888242944126E+000
171
+ 164 0.198573945317391E+000 0.458877312841991E+000
172
+ 165 0.212889645782536E+000 0.452413526233010E+000
173
+ 166 0.226995249869774E+000 0.445503262094184E+000
174
+ 167 0.240876837050858E+000 0.438153340021932E+000
175
+ 168 0.254520707875186E+000 0.430371013501972E+000
176
+ 169 0.267913397489498E+000 0.422163962751007E+000
177
+ 170 0.281041688926065E+000 0.413540287137281E+000
178
+ 171 0.293892626146237E+000 0.404508497187473E+000
179
+ 172 0.306453526826489E+000 0.395077506187845E+000
180
+ 173 0.318711994874345E+000 0.385256621387895E+000
181
+ 174 0.330655932661826E+000 0.375055534815230E+000
182
+ 175 0.342273552964344E+000 0.364484313710706E+000
183
+ 176 0.353553390593274E+000 0.353553390593273E+000
184
+ 177 0.364484313710706E+000 0.342273552964344E+000
185
+ 178 0.375055534815230E+000 0.330655932661826E+000
186
+ 179 0.385256621387895E+000 0.318711994874345E+000
187
+ 180 0.395077506187845E+000 0.306453526826488E+000
188
+ 181 0.404508497187474E+000 0.293892626146236E+000
189
+ 182 0.413540287137281E+000 0.281041688926065E+000
190
+ 183 0.422163962751008E+000 0.267913397489498E+000
191
+ 184 0.430371013501972E+000 0.254520707875185E+000
192
+ 185 0.438153340021932E+000 0.240876837050858E+000
193
+ 186 0.445503262094184E+000 0.226995249869773E+000
194
+ 187 0.452413526233010E+000 0.212889645782536E+000
195
+ 188 0.458877312841991E+000 0.198573945317390E+000
196
+ 189 0.464888242944126E+000 0.184062276342339E+000
197
+ 190 0.470440384477113E+000 0.169368960122646E+000
198
+ 191 0.475528258147577E+000 0.154508497187473E+000
199
+ 192 0.480146842838472E+000 0.139495553019614E+000
200
+ 193 0.484291580564316E+000 0.124344943582427E+000
201
+ 194 0.487958380969374E+000 0.109071620698271E+000
202
+ 195 0.491143625364344E+000 0.936906572928622E-001
203
+ 196 0.493844170297569E+000 0.782172325201150E-001
204
+ 197 0.496057350657239E+000 0.626666167821518E-001
205
+ 198 0.497780982301540E+000 0.470541566592569E-001
206
+ 199 0.499013364214136E+000 0.313952597646565E-001
207
+ 200 0.499753280182866E+000 0.157053795390641E-001
208
+
209
+ Lines
210
+
211
+ 1 1 2
212
+ 2 2 3
213
+ 3 3 4
214
+ 4 4 5
215
+ 5 5 6
216
+ 6 6 7
217
+ 7 7 8
218
+ 8 8 9
219
+ 9 9 10
220
+ 10 10 11
221
+ 11 11 12
222
+ 12 12 13
223
+ 13 13 14
224
+ 14 14 15
225
+ 15 15 16
226
+ 16 16 17
227
+ 17 17 18
228
+ 18 18 19
229
+ 19 19 20
230
+ 20 20 21
231
+ 21 21 22
232
+ 22 22 23
233
+ 23 23 24
234
+ 24 24 25
235
+ 25 25 26
236
+ 26 26 27
237
+ 27 27 28
238
+ 28 28 29
239
+ 29 29 30
240
+ 30 30 31
241
+ 31 31 32
242
+ 32 32 33
243
+ 33 33 34
244
+ 34 34 35
245
+ 35 35 36
246
+ 36 36 37
247
+ 37 37 38
248
+ 38 38 39
249
+ 39 39 40
250
+ 40 40 41
251
+ 41 41 42
252
+ 42 42 43
253
+ 43 43 44
254
+ 44 44 45
255
+ 45 45 46
256
+ 46 46 47
257
+ 47 47 48
258
+ 48 48 49
259
+ 49 49 50
260
+ 50 50 51
261
+ 51 51 52
262
+ 52 52 53
263
+ 53 53 54
264
+ 54 54 55
265
+ 55 55 56
266
+ 56 56 57
267
+ 57 57 58
268
+ 58 58 59
269
+ 59 59 60
270
+ 60 60 61
271
+ 61 61 62
272
+ 62 62 63
273
+ 63 63 64
274
+ 64 64 65
275
+ 65 65 66
276
+ 66 66 67
277
+ 67 67 68
278
+ 68 68 69
279
+ 69 69 70
280
+ 70 70 71
281
+ 71 71 72
282
+ 72 72 73
283
+ 73 73 74
284
+ 74 74 75
285
+ 75 75 76
286
+ 76 76 77
287
+ 77 77 78
288
+ 78 78 79
289
+ 79 79 80
290
+ 80 80 81
291
+ 81 81 82
292
+ 82 82 83
293
+ 83 83 84
294
+ 84 84 85
295
+ 85 85 86
296
+ 86 86 87
297
+ 87 87 88
298
+ 88 88 89
299
+ 89 89 90
300
+ 90 90 91
301
+ 91 91 92
302
+ 92 92 93
303
+ 93 93 94
304
+ 94 94 95
305
+ 95 95 96
306
+ 96 96 97
307
+ 97 97 98
308
+ 98 98 99
309
+ 99 99 100
310
+ 100 100 101
311
+ 101 101 102
312
+ 102 102 103
313
+ 103 103 104
314
+ 104 104 105
315
+ 105 105 106
316
+ 106 106 107
317
+ 107 107 108
318
+ 108 108 109
319
+ 109 109 110
320
+ 110 110 111
321
+ 111 111 112
322
+ 112 112 113
323
+ 113 113 114
324
+ 114 114 115
325
+ 115 115 116
326
+ 116 116 117
327
+ 117 117 118
328
+ 118 118 119
329
+ 119 119 120
330
+ 120 120 121
331
+ 121 121 122
332
+ 122 122 123
333
+ 123 123 124
334
+ 124 124 125
335
+ 125 125 126
336
+ 126 126 127
337
+ 127 127 128
338
+ 128 128 129
339
+ 129 129 130
340
+ 130 130 131
341
+ 131 131 132
342
+ 132 132 133
343
+ 133 133 134
344
+ 134 134 135
345
+ 135 135 136
346
+ 136 136 137
347
+ 137 137 138
348
+ 138 138 139
349
+ 139 139 140
350
+ 140 140 141
351
+ 141 141 142
352
+ 142 142 143
353
+ 143 143 144
354
+ 144 144 145
355
+ 145 145 146
356
+ 146 146 147
357
+ 147 147 148
358
+ 148 148 149
359
+ 149 149 150
360
+ 150 150 151
361
+ 151 151 152
362
+ 152 152 153
363
+ 153 153 154
364
+ 154 154 155
365
+ 155 155 156
366
+ 156 156 157
367
+ 157 157 158
368
+ 158 158 159
369
+ 159 159 160
370
+ 160 160 161
371
+ 161 161 162
372
+ 162 162 163
373
+ 163 163 164
374
+ 164 164 165
375
+ 165 165 166
376
+ 166 166 167
377
+ 167 167 168
378
+ 168 168 169
379
+ 169 169 170
380
+ 170 170 171
381
+ 171 171 172
382
+ 172 172 173
383
+ 173 173 174
384
+ 174 174 175
385
+ 175 175 176
386
+ 176 176 177
387
+ 177 177 178
388
+ 178 178 179
389
+ 179 179 180
390
+ 180 180 181
391
+ 181 181 182
392
+ 182 182 183
393
+ 183 183 184
394
+ 184 184 185
395
+ 185 185 186
396
+ 186 186 187
397
+ 187 187 188
398
+ 188 188 189
399
+ 189 189 190
400
+ 190 190 191
401
+ 191 191 192
402
+ 192 192 193
403
+ 193 193 194
404
+ 194 194 195
405
+ 195 195 196
406
+ 196 196 197
407
+ 197 197 198
408
+ 198 198 199
409
+ 199 199 200
410
+ 200 200 1
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/gas.species ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Species data
2
+
3
+ # species name
4
+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
5
+ # molecular mass (kg)
6
+ # rotational degrees of freedom (integer, unitless)
7
+ # inverse rotational relaxtion number (unitless)
8
+ # vibrational degrees of freedom (integer, unitless)
9
+ # inverse vibrational relaxation number (unitless)
10
+ # vibrational temperature (K)
11
+ # species weight (unitless)
12
+ # multiple of electon charge (1 for a proton)
13
+
14
+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/gas.vhs ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ # VHS collision model parameters for each species
2
+
3
+ # species name
4
+ # diameter (m)
5
+ # omega (unitless)
6
+ # tref (referenced temperature)
7
+ # alpha (unitless)
8
+
9
+ Ar 4.17e-10 0.81 273 1.0
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/grid/Grid_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/grid/Grid_1_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/grid/Grid_2_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/grid/Grid_300000.pvtu ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <PUnstructuredGrid GhostLevel="0">
6
+ <PCellData>
7
+ <PDataArray type="Float64" Name="id"/>
8
+ <PDataArray type="Float64" Name="xc"/>
9
+ <PDataArray type="Float64" Name="yc"/>
10
+ <PDataArray type="Float64" Name="f_1[1]"/>
11
+ <PDataArray type="Float64" Name="f_1[2]"/>
12
+ <PDataArray type="Float64" Name="f_1[3]"/>
13
+ <PDataArray type="Float64" Name="f_1[4]"/>
14
+ <PDataArray type="Float64" Name="f_1[5]"/>
15
+ <PDataArray type="Float64" Name="f_1[6]"/>
16
+ <PDataArray type="Float64" Name="f_1[7]"/>
17
+ <PDataArray type="Float64" Name="f_1[8]"/>
18
+ <PDataArray type="Float64" Name="f_1[9]"/>
19
+ <PDataArray type="Float64" Name="f_1[10]"/>
20
+ </PCellData>
21
+ <PPoints>
22
+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
23
+ </PPoints>
24
+ <Piece Source="Grid_0_300000.vtu"/>
25
+ <Piece Source="Grid_1_300000.vtu"/>
26
+ <Piece Source="Grid_2_300000.vtu"/>
27
+ <Piece Source="Grid_3_300000.vtu"/>
28
+ </PUnstructuredGrid>
29
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/grid/Grid_3_300000.vtu ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="988" NumberOfCells="925" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="13801" RangeMax="17125" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="3.0693" RangeMax="5.9599" offset="1720" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="3.04" RangeMax="4.96" offset="2260" />
11
+ <DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="26.335" RangeMax="59.174" offset="2528" />
12
+ <DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="4.4224e+19" RangeMax="9.9368e+19" offset="7356" />
13
+ <DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="2.9321e-06" RangeMax="6.5881e-06" offset="16504" />
14
+ <DataArray type="Float64" Name="f_1[4]" format="appended" RangeMin="765.05" RangeMax="888.13" offset="25752" />
15
+ <DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-8.8558" RangeMax="215.98" offset="29376" />
16
+ <DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-3.3369" RangeMax="2.6523" offset="34260" />
17
+ <DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.20612" RangeMax="0.66642" offset="42368" />
18
+ <DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="337.36" RangeMax="487.81" offset="50096" />
19
+ <DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0" RangeMax="0" offset="53952" />
20
+ <DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0" RangeMax="0" offset="54016" />
21
+ </CellData>
22
+ <Points>
23
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.2633360563" RangeMax="7.8102496759" offset="54080" />
24
+ </Points>
25
+ <Cells>
26
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="57252" />
27
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="63496" />
28
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="65216" />
29
+ </Cells>
30
+ </Piece>
31
+ </UnstructuredGrid>
32
+ <AppendedData encoding="base64">
33
+ _AQAAAACAAADoHAAA+AQAAA==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AQAAAACAAADoHAAAtgAAAA==eJzt2KsWglAUhGGjgjeUbMZsZi2bVsk8BFa6maxVs5ls1kwmY9UsZ5/uvMC/y/cGs/ZMVq9O3WG4zfCv3ySvHh9UXs7uRihMg+ZapAEK2zK+71pU9iHVJ1WIwrWLqWSMwtfTHSqPFlQTFLqUKuMpCu3drFFpMZXPUDiwm6PQ9zxU3goX6Kj0fRiVeyswEQr9boDKt6t5HSr9vrJAob1RFSr9DoXKjd0ShX6vQ6Wt5A0qf9Hozjg=AQAAAACAAADoHAAAEw4AAA==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AQAAAACAAADoHAAABRsAAA==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AQAAAACAAADoHAAAiwoAAA==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AQAAAACAAADoHAAAOw4AAA==eJxFWXmcjuUaxuCHoziSPU32Gvs2tjH37N/s377v+/cRQ04hxhZR2iyhM5YWooPkZMkRE9lCyRIlTllzLFkTWc77ftdV8/3h9W7Pcz/Xc13Xfd/vfFCWVu9owCXvLFB+/Z3ifGPbrU737FIt8bPLvRXXDhYftMqkuVmvDp1nkW4n2tWe5DLLhPjmUbP7maSlekFnFOWsWc1cg7x1eVx6n9V62ZG8ZmR0gU62LG7R7cQgLcZLLpEX1Av3C2VGhvfsgVP5og7TrJ1GriivuTflyoUOPeqsHJoj1v6f7n6+a5aU+Bsq/82Qt5Xpz6eIrF3464c7h6TJoWLlxp1U0b42b1ijpL7SaErlV+/u6CNq+M5fe+C5wq4yf5h6p4PkHLt6s2BBsqRbHJ9sHdpY3p81oHrxS3Xk1aWaLY0069KV2ZTI6ld2L1pWL3dpk8rSj+eEpp9uURk5cj6esv6pyqkXdRtbhzxySTlMdbiB1/dOOfq+AuAGhyTut7fLCAXO98UmNVJebvL9MKuMSSzIIs1rmh/tojfLsn9+mbymjQk4PGLk8wZRRr2oO6bDe89rZYkCW7v1pfKUAuNbaSWiopO/uQg4DCkATjPzcL0iV5SzVvbGOXLz/uHRF8JZopwFBy7OkOsHFaDqZMjZA22O3ylPl12FqTMylvTHOoakYrw/esuR0cqI03sAz6wuom7z3CkdZMCsvRM0W9vI7dqe+UWPN+d+NJRIdmz41am302upQO5Pqhw8xrq8z/66lY1X5/081uiV/fuU30oPcNnhlnoqUK+45OexyhMjnNJL/T3mkCfVB07a5IESdodrVpx3tUqFAtPIahaprRJvjkkyFbq0edEoe9Rt2mUATlf0snynsqDmevDrFy14db0EeC4vBh8HF8l7Oetv3A8WEH8NeDcqV5RRvr59KFtylduHj2WSZxmiLqNxuUgXlUjLBuM5w0BRQIxvntNP7iqHUb36Av99vYD3k51Ffer02U7Qx/x24Me8ZBl3fY12iL2Z7Pxx3UvjtHURX0Of6NX/zPBKWP219uK6xgNeJLtx/+8u3G/ilA9UvWbZEV9XG9Yz0gqcghZRt29KmVmi6sIXmrCfe43y7Pk/VlybRX0u0ktBfQXBaTpRD01sWjzXtpTzF0tbdaEVhaKs6r+lr+WL8s+8YdfzRKXj5X252I+BOZLY75rZooZbVpwJn3hBwK/CNPB45wBR5bzF018WqbK09CXevURRxdqF3XpAT7au2N9uT8vSEnnMl9QW47T0y3ZF1m+84kN8lV74VLYX+HxLvJa4wS+dCzwqd9LXHBzHjnHuWuWqEkZqcyveO2bG+m+YJLHcBibw/JKBOBsQV1O9jFc3/Gkd+ailzkvBh6QS6CariPtXgPF2aXBemSPt1dv/yYaPzs3CfrTOlI8Um/X/JNiPzwbLwATgaaJRF/TyAIy7PRU8ntNbTi9VNr6sJ/e/G/T2ox/Hez7E/bwPOJwjv8q9uP6oF9dbe+RFdQMHuHF+xQmcLjroa3bod6oNPlZhhd4mWeAja8zQ3UYT+HfGCL+pRl9rZoAeLuvAk9467JdOC7+uVSoJ371bhPEvFYiSRRRK0N8GacC3lbnQ9Tbil5IN/1+QBR7syxD1rbX308Gv1DT4Tby/qLQ/uD8V/nimD3g6PoD7NQKIP+qn/1KPTxG/RV7wpadXnlYnGu3BOtq5Me8gF/bnBeL2ouMvfSbwa2oD/3pYwZsxFtwPmJkfTdDrfKNkqzZ8wQBdKLgZ1Q0+oAMPK7TQb4EW+FcvxTini+Db8wvBg8kF0FsTjQxXAdblwfe35ACH8dnI0+cykV/LM+h/Ajw+ShPV3Xe/PRD7VxYELr8EMJ8jAL6M9ctvCizb7vuw7ud84F1NH/AZ6gWuDYnfQTfO33SBT2edGL8a/eyGHflgtk0S6aXSiriSrKLaa/0aFtQRRjPyWwcTdFBkxL67DKLSKWeZXr5V09xaHXBR8oH6dkpEC31VK4V/9y6mLxXCJ3fkS1OVqEka4D89l36Xgzy0Owe82pUFXHtkYpybAl31DWE9y4NYX60gdRvA+X4/jo/7obNFPvhUdR5jXuCQRD/TeYCHgXVGPvNmhhP4v+IAj5+1A/cKG/bvf1bsx14LeLLHDD0dYf5saWLdZoQvTTBgXbf1wO+kDvq9qoUvXSlFHIdKUL9cLwIvrxYinkkFmL9+PvZpbS50czJHVFv/tWOO7H1X2ai0LKzjQgjjFYaAx6og1nErAPxGBxg/8UrzQ0ff+HDu8gHvk8SrkD72ugfjLHTj+iEX3kt1kcdOxLnPjri/oC7rErdGVlG3fbTNguufmYFDMzP85oYR+bCxEfMNNoDXz+jBqzd18KMVWvj2llLo7UQJ6tCWxfD1MYXAr6wA8y3QIG88lgc/LctFnM4w4wyBR01DiOsT4vVEEPdnBLDOJ8mzqX7gm8Sjgz6m+D/2i3VZO+JWTv9v4Wb9Sp695YS+55JnC+30RbuoNDp+wYq6+q4F9VJbC33SDF9xm8Cn1Ub5QjmsP21A/rqhh15Neuh3ZRVuiTzwQ6kUKTB4leSf6Cu+LUb8w4pEte9gYSHq5sv5rL/DOI4Ik3chxKEnv85Sh54g8xn9yx5An7DBzzxF/1/jw3r70Nf2Ei+lzoDuPBhnlxvXN7uYN5zgkd3J/XJwH9lHaW3QxyyrdFQT0TsW5i0z5zfD31qZgMNXRuSLawb0X5MNrNv1qFu/1CGfHdYCl7Za1FfppcC5VwnWf6sIeLwTwX7eCtM3eLwcQl4rCwGPBiGse0oQz58NANdwAL5+yc9zP9/30Z+I13Ev32d9VtOLcULMm0H6WYx5YKoT411xsN900Cds0HFbG8YbaAU+cyzQW7JF1HS5QmeGr802oU9aZURcRwzwOY2B+6BnX6oD3p10qOc6aqHDOyWI85Eo4pwZYf6K4LyCeuwfZh0aYl0Ywv0Pgoj3b0H407IA9PXAD1wn+DFeM/raKh94kurDvCfIr56s/6d78N5WN3S8nfX/OSf2q5kTcbRx4Po05oGVNvj5Qyv6KZsV+X+YRX43KMZTYQZO+02oA/qaoNfBRvlGKdOWXjRAl0MNuD9Nj/rjsA56bK4D/z+MMv4oeL82gv3uHEE8i8LAo2UY12eG8F4p+XUxyDwQxDrW0r/SAsBjnR/PBcizHT7g0dFH/Xkxr5554DTzZRb1mUc/m+vC9V4u4K/kAfSnDvLRzn7exjrIivi7si+YaEH+WmfGftY2Q4cTTegLvzaij6ptRH061oA+4l96zP9EDPE9F8V5nyjGWR0BfnkR7NvhMOIcGGZ/EwJuRubLvUGcO+n73wfw3ijqc70f94v8xIP5cjx12csHnN/zss/yAqfbHjz/bzd49bsLOHdzMY86Wf+xf0oh38zsPxfZcGxtQ93Uj/62zYJ6tIUF9ZPGjPx5xoTxbxvRL7QyYr+PxKinGHSwNop4B0SxbweIlycCPG6EEY+ButzD+ktLnt0Osq6nHq/Q7xez3u/E813UYzGP64jTSB/4dYp1rNYLHuawj/rOw37LjedruDHexy76IOtbceL5sAP5813q9J6N/sI6ZIQVevvOgnr0czOeH2EGTw+b8FxGnPPG2P/GsP4VxEkTxb5tjyBeUwTnx+lbeubJK6wnZjBP9mGdsTWI8YuCmP8L4qUJYB1bmCet1OdF1v1fMm+amA/2eIHHG1U6hY95MM5ON/tQ9p3uKn9LjNfZifFcDry/iTp91cb+14rvLp3pc3csopYNZ6+a2Y/FcewYxzjrYvTfGHi+PAreKXrEfpJXUyKY548wcHktzLonjOd3hMifEMb9nPW+i/q8yTp2Iv3sCdZnG1jHRvzYz2zWZ3t9GK97VZ2WiG8+eZbL/LmjSqeox13sQ1mv+Vh/bHJQRw7g77GTfzbku4gVOrxpwf2HcfBichzzdo+zX6FvBWJY/50o/Zh+fyqC6wvoX62YLyeG+f2Ovn+YulTqC3y/CkHfP7AumxDE/TqsN+YGgGsX8m4J8RrHYzt+39hMnWZSp5voZxH2T3VZfwzy0O/It3J+517APkrBC3mDvnbOzu/HNuBRh8eN5NPROL9jxvH+M8RrR4z+Qx97EMX846jLZsTtPebJ7AjiuBYmDsSrVfivPgl1A/NlFs93sf7PCQLn76rqswR+tQIYZ6Wf9QT79M+ZN0t5PE9ezfUi7n6sc8cxfx51U6fso/KYFxZX9QV/1rnAk/373hjweJa6W0W/mhnHPNY44v0thucVfiXW0STGPpa6/Afri6ZRrGNWhLyin50OA8/JzANtw4jvQ9b/fubPM0HM52Z9djwA/yoLIO7mzKMKXon50qnTo6w3hrPfrO3DeHOIm4u+dtfD/oS+ZuZ3oQoX4jjFvw/cZh+VRj8bST9pH0M82jjfi+P61DjrkzjefxhjPxJD3JOoy+rEb30UcUwjXvWo19nMA+3Ju5lhjNcxzD6avl/KfHAhSL+uwiuBQ2kAPnONvPqI3zHCPD9FnMqpx57U50HWs2X87vjAg/dK+HeUQupykYt65N8FDjmgu2P8brSbdWJP8uI8eTaevFL0iTzIYyzO/p76XEe88smzS1Gc+6KI7yf62KgIxvuddZiXefMH+tc01vu9Wf+vZx2bEkS8awIYt38A723zs99hH5DqR3wXfJhHQ5xq+P7SY2J9DZgvn6PvH2I9e4S88tP/bzrxHSpYzLqF/vWQ+dnAff+U63bS70fSvwqo0/v0r7IqfBI8sURx/2yE3/3o+3eot+HkUwP2k3ND2P9M+vxXf/p6kOsnv2bR37szP+5iXaHh8Sfy6XX2Sd343X8j9TeefWbKn77vwXiV5EsyeTWY32c3OOX/A0XCLw==AQAAAACAAADoHAAArxcAAA==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AQAAAACAAADoHAAAOgsAAA==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eJztwQENAAAAwqD3T20ON6AAAAAAAAAAvgwc6AABAQAAAACAAADoHAAAHgAAAA==eJztwQENAAAAwqD3T20ON6AAAAAAAAAAvgwc6AABAQAAAACAAABQLgAANwkAAA==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AQAAAACAAACgcwAANxIAAA==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AQAAAACAAADoHAAA9wQAAA==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AQAAAACAAACdAwAAEQAAAA==eJzj5BwFo2AUDEoAANeOIIY=
34
+ </AppendedData>
35
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/grid/final-grid.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/log.sparta ADDED
@@ -0,0 +1,318 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SPARTA (4 Sep 2024)
2
+ Running on 128 MPI task(s)
3
+ variable BZ equal 1.380649E-23
4
+ variable PI equal 3.1415926536
5
+ variable molecular_mass equal 6.63E-26
6
+ variable molecular_diameter equal 4.17E-10
7
+ variable gamma equal 1.666666667
8
+ variable R equal ${BZ}/${molecular_mass}
9
+ variable R equal 1.380649e-23/${molecular_mass}
10
+ variable R equal 1.380649e-23/6.63e-26
11
+ variable L equal 1.0
12
+ variable xmin equal -5.0
13
+ variable xmax equal 6.0
14
+ variable ymin equal -5.0
15
+ variable ymax equal 5.0
16
+ variable Kn equal 0.32
17
+ variable Ma equal 3.0
18
+ variable To equal 273.0
19
+ variable Tb equal 273.0
20
+ variable theta equal 0.0
21
+ variable mfp equal ${Kn}*${L}
22
+ variable mfp equal 0.32*${L}
23
+ variable mfp equal 0.32*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
26
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
27
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
28
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(${mfp}/${cpmfp}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.32/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.32/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.32/4*0.32)
32
+ variable sos equal sqrt(${gamma}*${R}*${To})
33
+ variable sos equal sqrt(1.666666667*${R}*${To})
34
+ variable sos equal sqrt(1.666666667*208.242684766214*${To})
35
+ variable sos equal sqrt(1.666666667*208.242684766214*273)
36
+ variable vo equal ${Ma}*${sos}
37
+ variable vo equal 3*${sos}
38
+ variable vo equal 3*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 923.446692716043*cos(${theta}*2*PI/360)
41
+ variable vx equal 923.446692716043*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 923.446692716043*sin(${theta}*2*PI/360)
44
+ variable vy equal 923.446692716043*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
47
+ variable xncells equal (6-${xmin})/${mfp}*${cpmfp}
48
+ variable xncells equal (6--5)/${mfp}*${cpmfp}
49
+ variable xncells equal (6--5)/0.32*${cpmfp}
50
+ variable xncells equal (6--5)/0.32*4
51
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
52
+ variable yncells equal (5-${ymin})/${mfp}*${cpmfp}
53
+ variable yncells equal (5--5)/${mfp}*${cpmfp}
54
+ variable yncells equal (5--5)/0.32*${cpmfp}
55
+ variable yncells equal (5--5)/0.32*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 5.05618614457681e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 5.05618614457681e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/30/137.5/${yncells}
64
+ variable Fnum equal 5.05618614457681e+19*(6--5)*(5--5)/30/137.5/125
65
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
66
+ variable tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
67
+ variable tstep equal (--5+6)/${vx}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/923.446692716043/${xncells}/10/4
69
+ variable tstep equal (--5+6)/923.446692716043/137.5/10/4
70
+ variable nave equal 10000
71
+ variable noutput equal 300000
72
+ clear
73
+ Running on 128 MPI task(s)
74
+ shell mkdir output
75
+ shell mkdir grid
76
+ shell mkdir surf
77
+ seed 7
78
+ dimension 2
79
+ global nrho ${nden}
80
+ global nrho 5.05618614457681e+19
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 2.16579908269269e-06
85
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
86
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
87
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
88
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
89
+ boundary o o p
90
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
91
+ create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
92
+ create_box -5 6 ${ymin} ${ymax} -0.5 0.5
93
+ create_box -5 6 -5 ${ymax} -0.5 0.5
94
+ create_box -5 6 -5 5 -0.5 0.5
95
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
96
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
97
+ create_grid 137.5 ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
98
+ create_grid 137.5 125 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
99
+ Created 75199 child grid cells
100
+ CPU time = 0.104002 secs
101
+ create/ghost percent = 1.08983 98.9102
102
+ balance_grid rcb cell
103
+ Balance grid migrated 75062 cells
104
+ CPU time = 0.0922521 secs
105
+ reassign/sort/migrate/ghost percent = 61.1378 0.0344816 9.11365 29.7141
106
+ species gas.species Ar
107
+ mixture air Ar frac 1.0
108
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
109
+ mixture air Ar vstream 923.446692716043 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 923.446692716043 0 0.0 temp ${To}
111
+ mixture air Ar vstream 923.446692716043 0 0.0 temp 273
112
+ collide vss air gas.vhs
113
+ collide_modify vremax 100 yes remain no nearcp yes 10
114
+ read_surf cylinder.surf
115
+ 200 lines
116
+ -0.5 0.5 xlo xhi
117
+ -0.5 0.5 ylo yhi
118
+ 0 0 zlo zhi
119
+ 0.0157073 min line length
120
+ 400 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 67183 7616 400 = cells outside/inside/overlapping surfs
122
+ 398 2 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.10082 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 20.9221 22.9283 3.04333 26.0674 27.039 6.61949 0.186778
126
+ surf2grid time = 0.026281 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 12.545 23.1905 5.60047 2.15538 17.3737 6.72432
128
+ surf_collide 1 diffuse 273.0 1.0
129
+ surf_modify all collide 1
130
+ fix in emit/face air xlo ylo yhi
131
+ balance_grid rcb cell
132
+ Balance grid migrated 1851 cells
133
+ CPU time = 0.0396212 secs
134
+ reassign/sort/migrate/ghost percent = 11.6932 0.0664543 22.8307 65.4096
135
+ create_particles air n 0
136
+ Created 511944 particles
137
+ CPU time = 0.0150648 secs
138
+ stats 10000
139
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
140
+ run 200000
141
+ Memory usage per proc in Mbytes:
142
+ particles (ave,min,max) = 1.7666 0 3.375
143
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
144
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
145
+ total (ave,min,max) = 5.52902 3.22189 8.28439
146
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
147
+ 0 0 511944 0 0 0 0 0
148
+ 10000 15.56117 558724 14046 11767 16 533915.83 11.865
149
+ 20000 32.768835 563569 14285 12077 13 548120.97 11.96035
150
+ 30000 49.68676 563677 14300 12044 13 553551.97 11.985767
151
+ 40000 67.428807 565124 14301 12101 13 556315.09 12.005775
152
+ 50000 84.764981 564383 14254 11996 14 557904.73 12.00812
153
+ 60000 102.02513 565078 14335 12173 16 559009.3 12.025433
154
+ 70000 119.19172 564277 14350 12074 10 559798.97 12.026857
155
+ 80000 137.09232 564878 14255 12054 15 560316.04 12.03065
156
+ 90000 154.44026 564835 14277 12073 14 560823.47 12.035878
157
+ 100000 171.04846 563758 14251 12067 17 561173.24 12.04
158
+ 110000 188.31147 563981 14250 12076 12 561437.52 12.043027
159
+ 120000 205.92771 564223 14388 12159 13 561646.69 12.041658
160
+ 130000 223.02068 563580 14259 12068 12 561846.78 12.047438
161
+ 140000 240.15653 564984 14332 12165 20 562029.09 12.045979
162
+ 150000 258.06613 563862 14323 12061 7 562214.66 12.04756
163
+ 160000 275.36846 563254 14260 12157 12 562339.29 12.046188
164
+ 170000 291.97781 563641 14365 12145 6 562460.35 12.047376
165
+ 180000 309.85186 564334 14263 11965 9 562562.89 12.045961
166
+ 190000 327.33296 563758 14176 11971 8 562632.92 12.042847
167
+ 200000 344.53946 564369 14124 11908 17 562709.48 12.044335
168
+ Loop time of 344.54 on 128 procs for 200000 steps with 564369 particles
169
+
170
+ MPI task timing breakdown:
171
+ Section | min time | avg time | max time |%varavg| %total
172
+ ---------------------------------------------------------------
173
+ Move | 0.023146 | 13.73 | 80.726 | 473.0 | 3.99
174
+ Coll | 0.37691 | 15.824 | 122.69 | 543.7 | 4.59
175
+ Sort | 0.12979 | 2.3899 | 15.285 | 201.5 | 0.69
176
+ Comm | 74.583 | 111.82 | 126.32 | 110.9 | 32.45
177
+ Modify | 0.018957 | 0.13519 | 2.5249 | 100.5 | 0.04
178
+ Output | 0.0049298 | 0.014861 | 0.017171 | 1.5 | 0.00
179
+ Other | | 200.6 | | | 58.23
180
+
181
+ Particle moves = 112541896965 (113B)
182
+ Cells touched = 117905249837 (118B)
183
+ Particle comms = 227897967 (228M)
184
+ Boundary collides = 0 (0K)
185
+ Boundary exits = 22943388 (22.9M)
186
+ SurfColl checks = 111609758 (112M)
187
+ SurfColl occurs = 2408867 (2.41M)
188
+ Surf reactions = 0 (0K)
189
+ Collide attempts = 3156225310 (3.16B)
190
+ Collide occurs = 2437387240 (2.44B)
191
+ Reactions = 0 (0K)
192
+ Particles stuck = 0
193
+ Axisymm bad moves = 0
194
+
195
+ Particle-moves/CPUsec/proc: 2.5519e+06
196
+ Particle-moves/step: 562709
197
+ Cell-touches/particle/step: 1.04766
198
+ Particle comm iterations/step: 1
199
+ Particle fraction communicated: 0.00202501
200
+ Particle fraction colliding with boundary: 0
201
+ Particle fraction exiting boundary: 0.000203865
202
+ Surface-checks/particle/step: 0.000991717
203
+ Surface-collisions/particle/step: 2.14042e-05
204
+ Surf-reactions/particle/step: 0
205
+ Collision-attempts/particle/step: 0.0280449
206
+ Collisions/particle/step: 0.0216576
207
+ Reactions/particle/step: 0
208
+
209
+ Particles: 4409.13 ave 27378 max 0 min
210
+ Histogram: 84 13 6 6 7 4 4 0 1 3
211
+ Cells: 587.523 ave 590 max 587 min
212
+ Histogram: 64 0 0 62 0 0 1 0 0 1
213
+ GhostCell: 15207.6 ave 27995 max 833 min
214
+ Histogram: 21 9 12 10 17 3 6 4 16 30
215
+ EmptyCell: 127.156 ave 296 max 0 min
216
+ Histogram: 13 5 21 26 16 17 12 6 9 3
217
+ Surfs: 200 ave 200 max 200 min
218
+ Histogram: 128 0 0 0 0 0 0 0 0 0
219
+ GhostSurf: 0 ave 0 max 0 min
220
+ Histogram: 128 0 0 0 0 0 0 0 0 0
221
+ compute 1 grid all air n nrho massrho u v w
222
+ compute 2 grid all air trot
223
+ compute 3 tvib/grid all air
224
+ compute 4 thermal/grid all air press temp
225
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
226
+ fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
227
+ fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
228
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
229
+ dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
230
+ dump_modify 1 format float %12.5g
231
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
232
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
233
+ fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
234
+ fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
235
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
236
+ dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
237
+ dump_modify 2 format float %12.5g
238
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
239
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
240
+ dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
241
+ dump_modify 3 format float %12.5g
242
+ run 100000
243
+ Memory usage per proc in Mbytes:
244
+ particles (ave,min,max) = 1.7666 0 3.375
245
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
246
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
247
+ total (ave,min,max) = 5.72651 3.41911 8.48212
248
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
249
+ 200000 0 564369 14124 11908 0 0 0
250
+ 210000 28.946318 564397 14243 12048 17 564148.14 12.0561
251
+ 220000 58.004633 563757 14265 12050 10 564100.54 12.05215
252
+ 230000 87.037972 564815 14382 12194 14 564266.07 12.066233
253
+ 240000 116.11451 563508 14334 12087 9 564266.97 12.05125
254
+ 250000 144.91649 564899 14331 12193 6 564318.19 12.06444
255
+ 260000 174.32239 564870 14363 12038 8 564385.03 12.070767
256
+ 270000 202.55458 564185 14418 12177 12 564400.52 12.069457
257
+ 280000 232.36625 565087 14317 12134 18 564504.12 12.080275
258
+ 290000 261.0131 564290 14306 12076 8 564499.54 12.076656
259
+ 300000 290.79619 564350 14327 12022 11 564498.53 12.07657
260
+ Loop time of 290.797 on 128 procs for 100000 steps with 564350 particles
261
+
262
+ MPI task timing breakdown:
263
+ Section | min time | avg time | max time |%varavg| %total
264
+ ---------------------------------------------------------------
265
+ Move | 0.012567 | 6.9281 | 40.526 | 335.0 | 2.38
266
+ Coll | 0.18848 | 7.9834 | 62.925 | 388.1 | 2.75
267
+ Sort | 0.073244 | 1.2261 | 7.7606 | 143.6 | 0.42
268
+ Comm | 43.45 | 62.446 | 70.186 | 77.7 | 21.47
269
+ Modify | 2.6558 | 19.073 | 106.42 | 515.6 | 6.56
270
+ Output | 0.10376 | 0.10566 | 0.10967 | 0.4 | 0.04
271
+ Other | | 193 | | | 66.38
272
+
273
+ Particle moves = 56449853435 (56.4B)
274
+ Cells touched = 59137998421 (59.1B)
275
+ Particle comms = 114226275 (114M)
276
+ Boundary collides = 0 (0K)
277
+ Boundary exits = 11500764 (11.5M)
278
+ SurfColl checks = 55984311 (56M)
279
+ SurfColl occurs = 1207657 (1.21M)
280
+ Surf reactions = 0 (0K)
281
+ Collide attempts = 1591029498 (1.59B)
282
+ Collide occurs = 1228601143 (1.23B)
283
+ Reactions = 0 (0K)
284
+ Particles stuck = 0
285
+ Axisymm bad moves = 0
286
+
287
+ Particle-moves/CPUsec/proc: 1.51657e+06
288
+ Particle-moves/step: 564499
289
+ Cell-touches/particle/step: 1.04762
290
+ Particle comm iterations/step: 1
291
+ Particle fraction communicated: 0.0020235
292
+ Particle fraction colliding with boundary: 0
293
+ Particle fraction exiting boundary: 0.000203734
294
+ Surface-checks/particle/step: 0.000991753
295
+ Surface-collisions/particle/step: 2.13934e-05
296
+ Surf-reactions/particle/step: 0
297
+ Collision-attempts/particle/step: 0.0281848
298
+ Collisions/particle/step: 0.0217645
299
+ Reactions/particle/step: 0
300
+
301
+ Particles: 4408.98 ave 27516 max 0 min
302
+ Histogram: 83 14 7 5 7 4 4 0 2 2
303
+ Cells: 587.523 ave 590 max 587 min
304
+ Histogram: 64 0 0 62 0 0 1 0 0 1
305
+ GhostCell: 15207.6 ave 27995 max 833 min
306
+ Histogram: 21 9 12 10 17 3 6 4 16 30
307
+ EmptyCell: 127.156 ave 296 max 0 min
308
+ Histogram: 13 5 21 26 16 17 12 6 9 3
309
+ Surfs: 200 ave 200 max 200 min
310
+ Histogram: 128 0 0 0 0 0 0 0 0 0
311
+ GhostSurf: 0 ave 0 max 0 min
312
+ Histogram: 128 0 0 0 0 0 0 0 0 0
313
+ write_grid grid/final-grid.dat
314
+ grid cells = 75199
315
+ CPU time = 0.0114789 secs
316
+ write_surf surf/geom.surf
317
+ surf elements = 200
318
+ CPU time = 0.00155174 secs
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/mir.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ dimension 2
2
+ create_box -5.0 6.0 -5.0 5.0 -0.5 0.5
3
+ read_grid grid/final-grid.dat
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/output/lambdakn.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/output/surf.300000.dat ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ITEM: TIMESTEP
2
+ 300000
3
+ ITEM: NUMBER OF SURFS
4
+ 200
5
+ ITEM: BOX BOUNDS oo oo pp
6
+ -5 6
7
+ -5 5
8
+ -0.5 0.5
9
+ ITEM: SURFS id v1x v1y v2x v2y f_2[1] f_2[2] f_2[3] f_2[4] f_2[5] f_2[6] f_2[7] f_2[8] f_2[9] f_2[10] f_2[11]
10
+ 1 0.5 0 0.49975 -0.015705 0.00357 0.049087 -0.049081 0.00077103 2.0445e-06 0.00013014 -0.0007709 1.4155e-05 3.7535 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.10085 1.4282 0.89295 -1.1146 0.20584 0.16491 0.017259 -0.014917 165.13 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.00364 0.051444 -0.051387 0.0024234 8.8723e-05 0.0018814 -0.00080576 6.7616e-05 4.0759 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.09378 1.3393 0.80412 -1.071 0.20865 0.15666 0.015908 -0.014362 156.53 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.00378 0.052252 -0.052091 0.0040997 1.2575e-05 0.00015978 -0.00081801 6.6904e-05 4.6277 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.09063 1.2944 0.74427 -1.059 0.21678 0.15235 0.015096 -0.014241 158.39 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.00372 0.049928 -0.049627 0.0054788 0.00013926 0.0012614 -0.00077732 0.00010587 4.0963 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.08751 1.2368 0.67903 -1.0337 0.2059 0.13525 0.0139 -0.014113 146.44 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.00391 0.051458 -0.050945 0.0072505 0.00011211 0.00078775 -0.00079845 0.00012626 4.3368 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.08405 1.1844 0.61886 -1.0099 0.22567 0.13829 0.013265 -0.01369 144.12 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.00357 0.047148 -0.046445 0.008106 -5.9194e-05 -0.00033917 -0.00073046 0.000122 4.0651 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.07832 1.107 0.54846 -0.96155 0.23082 0.13166 0.01224 -0.013035 137.45 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.00387 0.049002 -0.047984 0.0099369 0.00021738 0.0010497 -0.00075028 0.00017257 2.5524 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.07395 1.0448 0.48891 -0.92339 0.20955 0.11095 0.010971 -0.012761 127.63 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.00352 0.046875 -0.04558 0.010943 0.00017051 0.00071021 -0.00071326 0.00018304 5.0146 0 0
25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.07017 0.99073 0.43586 -0.88971 0.22877 0.11207 0.01044 -0.012215 125.88 0 0
26
+ 9 0.48429 -0.12434 0.48015 -0.1395 0.00355 0.047796 -0.046102 0.012612 0.00021487 0.00078544 -0.00072076 0.00021044 3.4464 0 0
27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.06706 0.94492 0.38885 -0.8612 0.20994 0.094791 0.0094054 -0.012038 116.83 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.00295 0.038935 -0.037213 0.011448 -0.00046344 -0.0015064 -0.0005918 0.00015616 3.0509 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.06354 0.89819 0.34372 -0.82982 0.20921 0.086657 0.0086851 -0.011673 109.92 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.00319 0.040463 -0.038281 0.013107 -0.0002723 -0.00079533 -0.00060557 0.00019338 3.4013 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.06056 0.85416 0.30193 -0.79902 0.21708 0.082027 0.0081521 -0.011262 107.86 0 0
32
+ 12 0.47044 -0.16937 0.46489 -0.18406 0.00328 0.041452 -0.038776 0.014652 7.9569e-05 0.00021057 -0.00060782 0.00023345 3.0452 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.05709 0.80087 0.25942 -0.75769 0.21551 0.073784 0.0074598 -0.010742 100.34 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.00301 0.039872 -0.036837 0.015258 0.00070641 0.0017054 -0.00056751 0.00026645 2.7394 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.05305 0.74153 0.21804 -0.70875 0.21121 0.064976 0.0067423 -0.010112 95.579 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.00295 0.038556 -0.03514 0.015866 0.0015785 0.003496 -0.00052716 0.00030413 2.7468 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.05061 0.71078 0.18755 -0.68559 0.20654 0.056503 0.0061902 -0.0098812 91.591 0 0
38
+ 15 0.45241 -0.21289 0.4455 -0.227 0.00284 0.036012 -0.03234 0.015843 0.0029335 0.0059879 -0.00046189 0.00034291 2.9734 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.0467 0.65205 0.15222 -0.63404 0.19789 0.047509 0.0054992 -0.0092128 80.941 0 0
40
+ 16 0.4455 -0.227 0.43815 -0.24088 0.00289 0.037081 -0.032771 0.017351 0.0035197 0.0066475 -0.00045946 0.00037696 2.962 0 0
41
+ 144 -0.10907 0.48796 -0.093691 0.49114 0.04395 0.60882 0.12346 -0.59617 0.19524 0.040433 0.005006 -0.0087292 76.286 0 0
42
+ 17 0.43815 -0.24088 0.43037 -0.25452 0.0027 0.032716 -0.028418 0.016209 0.0029487 0.0051696 -0.00040005 0.0003358 3.4564 0 0
43
+ 145 -0.093691 0.49114 -0.078217 0.49384 0.04032 0.55875 0.096066 -0.55043 0.1867 0.032584 0.0044415 -0.008134 69.784 0 0
44
+ 18 0.43037 -0.25452 0.42216 -0.26791 0.00244 0.030173 -0.025727 0.015765 0.0028136 0.0045913 -0.00035991 0.00031975 2.7926 0 0
45
+ 146 -0.078217 0.49384 -0.062667 0.49606 0.03788 0.51912 0.073145 -0.51394 0.18319 0.026072 0.0040263 -0.0076631 66.041 0 0
46
+ 19 0.42216 -0.26791 0.41354 -0.28104 0.0028 0.032894 -0.027493 0.01806 0.00351 0.0053435 -0.00037671 0.0003676 2.0607 0 0
47
+ 147 -0.062667 0.49606 -0.047054 0.49778 0.03585 0.49362 0.054167 -0.49064 0.17944 0.01981 0.0036693 -0.0073955 63.174 0 0
48
+ 20 0.41354 -0.28104 0.40451 -0.29389 0.0026 0.0305 -0.024954 0.017538 0.005296 0.0075354 -0.00030877 0.00039383 3.097 0 0
49
+ 148 -0.047054 0.49778 -0.031395 0.49901 0.03376 0.45892 0.036006 -0.45751 0.18071 0.014222 0.0034041 -0.0069628 60.638 0 0
50
+ 21 0.40451 -0.29389 0.39508 -0.30645 0.00288 0.034261 -0.027398 0.020571 0.0098567 0.013128 -0.00027553 0.00052932 3.2365 0 0
51
+ 149 -0.031395 0.49901 -0.015705 0.49975 0.03121 0.42455 0.019999 -0.42408 0.16746 0.0078974 0.0029446 -0.0065371 54.377 0 0
52
+ 22 0.39508 -0.30645 0.38526 -0.31871 0.00301 0.036535 -0.028513 0.022843 0.0085427 0.010663 -0.00031367 0.00052629 3.1832 0 0
53
+ 150 -0.015705 0.49975 0 0.5 0.02895 0.39533 0.0062095 -0.39528 0.16159 0.0025384 0.0026356 -0.0061689 49.726 0 0
54
+ 23 0.38526 -0.31871 0.37506 -0.33066 0.00314 0.037624 -0.02861 0.024435 0.010664 0.012486 -0.00028187 0.00057993 4.3485 0 0
55
+ 151 0 0.5 0.015705 0.49975 0.0276 0.37604 -0.0059065 -0.37599 0.16037 -0.0025193 0.0024262 -0.0059454 54.062 0 0
56
+ 24 0.37506 -0.33066 0.36448 -0.34227 0.00319 0.03645 -0.02696 0.024531 0.011922 0.013102 -0.0002362 0.00059111 4.46 0 0
57
+ 152 0.015705 0.49975 0.031395 0.49901 0.02467 0.33173 -0.015627 -0.33136 0.14568 -0.0068703 0.0020429 -0.0053128 46.618 0 0
58
+ 25 0.36448 -0.34227 0.35355 -0.35355 0.00364 0.043003 -0.030881 0.029926 0.015151 0.015634 -0.00024708 0.00071563 5.1192 0 0
59
+ 153 0.031395 0.49901 0.047054 0.49778 0.02352 0.32158 -0.025231 -0.32059 0.13996 -0.011015 0.0018021 -0.0052086 42.792 0 0
60
+ 26 0.35355 -0.35355 0.34227 -0.36448 0.00344 0.041106 -0.028606 0.029519 0.017439 0.0169 -0.0001754 0.00072912 5.7742 0 0
61
+ 154 0.047054 0.49778 0.062667 0.49606 0.0201 0.26458 -0.029033 -0.26298 0.12078 -0.013334 0.0014411 -0.0043401 37.177 0 0
62
+ 27 0.34227 -0.36448 0.33066 -0.37506 0.00419 0.050386 -0.03391 0.037267 0.020691 0.018827 -0.00020764 0.00088109 6.5763 0 0
63
+ 155 0.062667 0.49606 0.078217 0.49384 0.01978 0.26026 -0.036671 -0.25767 0.12066 -0.017172 0.0013192 -0.004317 35.283 0 0
64
+ 28 0.33066 -0.37506 0.31871 -0.38526 0.00398 0.049179 -0.031939 0.037396 0.02 0.017082 -0.00018753 0.00085569 4.8833 0 0
65
+ 156 0.078217 0.49384 0.093691 0.49114 0.01792 0.23241 -0.039959 -0.22895 0.11294 -0.019712 0.0011464 -0.0039058 33.574 0 0
66
+ 29 0.31871 -0.38526 0.30645 -0.39508 0.00441 0.053233 -0.033284 0.041545 0.026936 0.021579 -9.9711e-05 0.00099151 7.6921 0 0
67
+ 157 0.093691 0.49114 0.10907 0.48796 0.01746 0.23449 -0.047552 -0.22962 0.11079 -0.022944 0.00099331 -0.0039671 32.991 0 0
68
+ 30 0.30645 -0.39508 0.29389 -0.40451 0.00518 0.061134 -0.036706 0.048888 0.033002 0.024778 -5.8183e-05 0.0011571 9.6245 0 0
69
+ 158 0.10907 0.48796 0.12434 0.48429 0.0155 0.20465 -0.047774 -0.19899 0.10121 -0.024298 0.00083934 -0.0035073 28.988 0 0
70
+ 31 0.29389 -0.40451 0.28104 -0.41354 0.00495 0.058416 -0.033589 0.047793 0.03264 0.02294 -1.4904e-05 0.001111 9.2571 0 0
71
+ 159 0.12434 0.48429 0.1395 0.48015 0.01392 0.17972 -0.047422 -0.17335 0.090905 -0.024869 0.000683 -0.0031134 26.606 0 0
72
+ 32 0.28104 -0.41354 0.26791 -0.42216 0.00556 0.068568 -0.037646 0.05731 0.033724 0.022153 -6.1592e-05 0.0012481 9.3827 0 0
73
+ 160 0.1395 0.48015 0.15451 0.47553 0.0127 0.16501 -0.048519 -0.15771 0.089126 -0.027419 0.00063784 -0.0029079 25.492 0 0
74
+ 33 0.26791 -0.42216 0.25452 -0.43037 0.00648 0.078497 -0.041015 0.06693 0.042617 0.026116 2.5175e-05 0.0014615 12.79 0 0
75
+ 161 0.15451 0.47553 0.16937 0.47044 0.01213 0.15358 -0.049748 -0.1453 0.081249 -0.027818 0.00049479 -0.0027193 21.751 0 0
76
+ 34 0.25452 -0.43037 0.24088 -0.43815 0.00706 0.086967 -0.043089 0.075543 0.047136 0.026886 6.3571e-05 0.0016089 12.538 0 0
77
+ 162 0.16937 0.47044 0.18406 0.46489 0.011 0.13758 -0.048631 -0.1287 0.075337 -0.028468 0.00041949 -0.0024686 21.033 0 0
78
+ 35 0.24088 -0.43815 0.227 -0.4455 0.00748 0.092596 -0.043328 0.081833 0.049606 0.026265 9.8601e-05 0.0016979 13.104 0 0
79
+ 163 0.18406 0.46489 0.19857 0.45888 0.0099 0.12456 -0.047665 -0.11507 0.063527 -0.026314 0.00024914 -0.0022208 16.691 0 0
80
+ 36 0.227 -0.4455 0.21289 -0.45241 0.00862 0.10672 -0.04695 0.095836 0.05793 0.028379 0.00017247 0.0019511 17.151 0 0
81
+ 164 0.19857 0.45888 0.21289 0.45241 0.00951 0.12047 -0.049575 -0.1098 0.062555 -0.028245 0.00020388 -0.0021683 18.727 0 0
82
+ 37 0.21289 -0.45241 0.19857 -0.45888 0.0089 0.11174 -0.045984 0.10184 0.060878 0.027487 0.00023394 0.0020314 17.703 0 0
83
+ 165 0.21289 0.45241 0.227 0.4455 0.00815 0.10169 -0.044739 -0.091324 0.057186 -0.028015 0.0001955 -0.0018745 16.039 0 0
84
+ 38 0.19857 -0.45888 0.18406 -0.46489 0.01011 0.12876 -0.049275 0.11896 0.068177 0.02824 0.00029691 0.0023121 18.279 0 0
85
+ 166 0.227 0.4455 0.24088 0.43815 0.00764 0.093148 -0.043587 -0.082321 0.051125 -0.027069 0.0001184 -0.0017182 13.731 0 0
86
+ 39 0.18406 -0.46489 0.16937 -0.47044 0.01123 0.14095 -0.049822 0.13185 0.077487 0.02928 0.00043454 0.0025309 22.445 0 0
87
+ 167 0.24088 0.43815 0.25452 0.43037 0.00712 0.087736 -0.043469 -0.07621 0.043624 -0.024883 2.4342e-06 -0.0015879 11.396 0 0
88
+ 40 0.16937 -0.47044 0.15451 -0.47553 0.01232 0.15769 -0.051078 0.14919 0.080003 0.027391 0.00045433 0.0027736 22.256 0 0
89
+ 168 0.25452 0.43037 0.26791 0.42216 0.00681 0.083045 -0.043391 -0.070807 0.043616 -0.026728 3.5424e-06 -0.001532 13.847 0 0
90
+ 41 0.15451 -0.47553 0.1395 -0.48015 0.01314 0.16795 -0.049385 0.16053 0.087326 0.026865 0.00059595 0.0029434 26.018 0 0
91
+ 169 0.26791 0.42216 0.28104 0.41354 0.00567 0.068408 -0.037558 -0.057176 0.036789 -0.024166 -1.2075e-05 -0.0012777 8.9649 0 0
92
+ 42 0.1395 -0.48015 0.12434 -0.48429 0.01422 0.18596 -0.04907 0.17937 0.094001 0.025716 0.00070575 0.0032213 23.337 0 0
93
+ 170 0.28104 0.41354 0.29389 0.40451 0.00518 0.061177 -0.035177 -0.050052 0.031599 -0.022208 -5.6211e-05 -0.001135 9.1558 0 0
94
+ 43 0.12434 -0.48429 0.10907 -0.48796 0.0159 0.20667 -0.048245 0.20096 0.10159 0.02439 0.00083791 0.0035396 29.925 0 0
95
+ 171 0.29389 0.40451 0.30645 0.39508 0.00522 0.062712 -0.037653 -0.05015 0.031476 -0.023633 -9.7033e-05 -0.0011589 9.0646 0 0
96
+ 44 0.10907 -0.48796 0.093691 -0.49114 0.01625 0.21458 -0.043513 0.21012 0.10435 0.021609 0.00095553 0.0036398 35.228 0 0
97
+ 172 0.30645 0.39508 0.31871 0.38526 0.0047 0.054912 -0.034333 -0.042855 0.0268 -0.021471 -0.00011833 -0.0010104 6.9118 0 0
98
+ 45 0.093691 -0.49114 0.078217 -0.49384 0.01789 0.23606 -0.040585 0.23254 0.10806 0.018859 0.0010598 0.0039488 32.051 0 0
99
+ 173 0.31871 0.38526 0.33066 0.37506 0.0043 0.050693 -0.032923 -0.038548 0.022085 -0.018862 -0.00017023 -0.00090175 7.2415 0 0
100
+ 46 0.078217 -0.49384 0.062667 -0.49606 0.01951 0.26005 -0.036642 0.25746 0.12269 0.017461 0.0013515 0.0043182 36.511 0 0
101
+ 174 0.33066 0.37506 0.34227 0.36448 0.00394 0.046328 -0.031179 -0.034265 0.019646 -0.017877 -0.00018115 -0.00081901 5.5117 0 0
102
+ 47 0.062667 -0.49606 0.047054 -0.49778 0.02217 0.29632 -0.032516 0.29453 0.12959 0.014307 0.0015247 0.004851 37.242 0 0
103
+ 175 0.34227 0.36448 0.35355 0.35355 0.00386 0.046949 -0.032672 -0.033715 0.018748 -0.018168 -0.00021872 -0.00081495 5.6627 0 0
104
+ 48 0.047054 -0.49778 0.031395 -0.49901 0.02295 0.31052 -0.024363 0.30957 0.1416 0.011144 0.0018415 0.0050375 45.075 0 0
105
+ 176 0.35355 0.35355 0.36448 0.34227 0.0034 0.039323 -0.028239 -0.027366 0.014397 -0.014857 -0.00021742 -0.0006632 4.462 0 0
106
+ 49 0.031395 -0.49901 0.015705 -0.49975 0.02445 0.32808 -0.015455 0.32772 0.148 0.0069796 0.002082 0.0052572 44.508 0 0
107
+ 177 0.36448 0.34227 0.37506 0.33066 0.003 0.034828 -0.02576 -0.02344 0.014711 -0.016168 -0.00017355 -0.00062213 4.2546 0 0
108
+ 50 0.015705 -0.49975 0 -0.5 0.02677 0.36042 -0.0056612 0.36038 0.14718 0.0023121 0.0022229 0.0056968 48.872 0 0
109
+ 178 0.37506 0.33066 0.38526 0.31871 0.00293 0.033433 -0.025423 -0.021713 0.010517 -0.012314 -0.00023412 -0.00053447 4.0572 0 0
110
+ 51 0 -0.5 -0.015705 -0.49975 0.02925 0.39353 0.0061813 0.39348 0.15796 -0.0024815 0.0025783 0.0061415 55.145 0 0
111
+ 179 0.38526 0.31871 0.39508 0.30645 0.00303 0.036869 -0.028774 -0.023052 0.0086716 -0.010824 -0.00031575 -0.0005321 3.4339 0 0
112
+ 52 -0.015705 -0.49975 -0.031395 -0.49901 0.03121 0.42421 0.019983 0.42374 0.16648 -0.0078512 0.0029289 0.0065325 55.976 0 0
113
+ 180 0.39508 0.30645 0.40451 0.29389 0.00279 0.032033 -0.025617 -0.019233 0.0084338 -0.011233 -0.0002699 -0.00047854 4.1982 0 0
114
+ 53 -0.031395 -0.49901 -0.047054 -0.49778 0.03242 0.44361 0.034805 0.44224 0.15844 -0.01247 0.0030354 0.0067505 56.829 0 0
115
+ 181 0.40451 0.29389 0.41354 0.28104 0.00246 0.030326 -0.024811 -0.017438 0.0066269 -0.0094291 -0.00028563 -0.000422 2.7097 0 0
116
+ 54 -0.047054 -0.49778 -0.062667 -0.49606 0.0375 0.51575 0.056595 0.51263 0.19095 -0.021081 0.0038883 0.007721 69.843 0 0
117
+ 182 0.41354 0.28104 0.42216 0.26791 0.00288 0.034592 -0.028913 -0.018992 0.0052088 -0.0079296 -0.00037232 -0.00042287 3.6313 0 0
118
+ 55 -0.062667 -0.49606 -0.078217 -0.49384 0.04053 0.56084 0.079023 0.55524 0.19554 -0.027829 0.0043126 0.0082842 73.393 0 0
119
+ 183 0.42216 0.26791 0.43037 0.25452 0.00251 0.029477 -0.025133 -0.015402 0.0045655 -0.0074502 -0.00032306 -0.00035894 4.0967 0 0
120
+ 56 -0.078217 -0.49384 -0.093691 -0.49114 0.04156 0.57539 0.098925 0.56682 0.19588 -0.034187 0.0046307 0.0083662 75.763 0 0
121
+ 184 0.43037 0.25452 0.43815 0.24088 0.00271 0.03211 -0.027891 -0.015909 0.0040508 -0.0071018 -0.00037447 -0.00036144 4.2702 0 0
122
+ 57 -0.093691 -0.49114 -0.10907 -0.48796 0.04558 0.63659 0.12909 0.62336 0.20158 -0.041745 0.0051939 0.0091357 81.266 0 0
123
+ 185 0.43815 0.24088 0.4455 0.227 0.00268 0.034053 -0.030095 -0.015934 0.0024346 -0.0045981 -0.00043446 -0.00032251 2.9507 0 0
124
+ 58 -0.10907 -0.48796 -0.12434 -0.48429 0.0467 0.65565 0.15306 0.63754 0.20804 -0.049945 0.0056718 0.0092295 86.173 0 0
125
+ 186 0.4455 0.227 0.45241 0.21289 0.00269 0.034343 -0.030841 -0.015109 0.0012743 -0.0026012 -0.00046441 -0.00027818 2.2038 0 0
126
+ 59 -0.12434 -0.48429 -0.1395 -0.48015 0.05118 0.71368 0.18832 0.68838 0.20055 -0.054865 0.0061082 0.0099509 89.986 0 0
127
+ 187 0.45241 0.21289 0.45888 0.19857 0.00298 0.038305 -0.034911 -0.015763 0.0015329 -0.0033951 -0.00052429 -0.00030092 2.5186 0 0
128
+ 60 -0.1395 -0.48015 -0.15451 -0.47553 0.0536 0.75338 0.22152 0.72007 0.20576 -0.063301 0.0067115 0.010316 91.946 0 0
129
+ 188 0.45888 0.19857 0.46489 0.18406 0.00307 0.039731 -0.036707 -0.015204 0.0012374 -0.0029873 -0.00055713 -0.00028574 3.8479 0 0
130
+ 61 -0.15451 -0.47553 -0.16937 -0.47044 0.05655 0.79066 0.25611 0.74803 0.20695 -0.070856 0.0072735 0.010637 96.083 0 0
131
+ 189 0.46489 0.18406 0.47044 0.16937 0.00329 0.041765 -0.039069 -0.014763 -1.1891e-05 3.1469e-05 -0.00061385 -0.00023139 2.9837 0 0
132
+ 62 -0.16937 -0.47044 -0.18406 -0.46489 0.06059 0.84925 0.30019 0.79443 0.20546 -0.077638 0.0079424 0.011259 100.43 0 0
133
+ 190 0.47044 0.16937 0.47553 0.15451 0.00318 0.040138 -0.037974 -0.013001 0.00071836 -0.0020982 -0.00058519 -0.00023717 3.5488 0 0
134
+ 63 -0.18406 -0.46489 -0.19857 -0.45888 0.06354 0.89046 0.34077 0.82268 0.21709 -0.089922 0.0087624 0.01151 112.24 0 0
135
+ 191 0.47553 0.15451 0.48015 0.1395 0.0032 0.041857 -0.040007 -0.012308 2.3081e-05 -7.5027e-05 -0.00062804 -0.0001945 2.4011 0 0
136
+ 64 -0.19857 -0.45888 -0.21289 -0.45241 0.06753 0.95619 0.39348 0.87147 0.22475 -0.10148 0.0097109 0.012094 120.62 0 0
137
+ 192 0.48015 0.1395 0.48429 0.12434 0.00323 0.040567 -0.039129 -0.010704 0.00047366 -0.0017314 -0.00060717 -0.00019533 3.7595 0 0
138
+ 65 -0.21289 -0.45241 -0.227 -0.4455 0.07132 1.0016 0.44066 0.8995 0.21421 -0.10494 0.010286 0.01248 120.55 0 0
139
+ 193 0.48429 0.12434 0.48796 0.10907 0.00324 0.043437 -0.042237 -0.01014 -7.2935e-05 0.0003038 -0.00066458 -0.0001545 3.4498 0 0
140
+ 66 -0.227 -0.4455 -0.24088 -0.43815 0.07438 1.0546 0.49349 0.93204 0.21889 -0.1159 0.01119 0.012819 130.52 0 0
141
+ 194 0.48796 0.10907 0.49114 0.093691 0.00321 0.041863 -0.040993 -0.0084892 5.3363e-05 -0.00025768 -0.00064305 -0.00013739 1.9054 0 0
142
+ 67 -0.24088 -0.43815 -0.25452 -0.43037 0.0789 1.1144 0.55215 0.96802 0.21053 -0.12009 0.01198 0.013319 136.8 0 0
143
+ 195 0.49114 0.093691 0.49384 0.078217 0.00387 0.051349 -0.050584 -0.0088284 -0.0003945 0.0022604 -0.00080074 -0.00010317 3.6692 0 0
144
+ 68 -0.25452 -0.43037 -0.26791 -0.42216 0.08236 1.1692 0.61093 0.99695 0.22427 -0.13743 0.013119 0.013501 141.58 0 0
145
+ 196 0.49384 0.078217 0.49606 0.062667 0.00374 0.048726 -0.04824 -0.0068656 0.00014862 -0.0010443 -0.00075539 -0.00012424 3.226 0 0
146
+ 69 -0.26791 -0.42216 -0.28104 -0.41354 0.08564 1.2199 0.66974 1.0196 0.21791 -0.14314 0.013943 0.013767 145.99 0 0
147
+ 197 0.49606 0.062667 0.49778 0.047054 0.00354 0.04738 -0.047094 -0.0051992 -5.7531e-06 5.2111e-05 -0.00073981 -8.0847e-05 4.2809 0 0
148
+ 70 -0.28104 -0.41354 -0.29389 -0.40451 0.0927 1.3113 0.75403 1.0729 0.21116 -0.14841 0.015161 0.014521 159.61 0 0
149
+ 198 0.49778 0.047054 0.49901 0.031395 0.00368 0.048588 -0.048438 -0.0038122 -0.00030597 0.0038878 -0.00076564 1.1874e-06 4.306 0 0
150
+ 71 -0.29389 -0.40451 -0.30645 -0.39508 0.09502 1.3542 0.81306 1.0829 0.21317 -0.16006 0.016119 0.014495 156.86 0 0
151
+ 199 0.49901 0.031395 0.49975 0.015705 0.00363 0.048506 -0.048453 -0.002285 -0.00010401 0.0022054 -0.00076269 -1.249e-06 4.0018 0 0
152
+ 72 -0.30645 -0.39508 -0.31871 -0.38526 0.10017 1.432 0.89536 1.1176 0.21624 -0.17324 0.01746 0.014833 172 0 0
153
+ 200 0.49975 0.015705 0.5 0 0.00389 0.051722 -0.051715 -0.00081241 -4.7293e-06 0.00030105 -0.00081238 -8.0321e-06 3.1032 0 0
154
+ 73 -0.31871 -0.38526 -0.33066 -0.37506 0.10561 1.5112 0.98143 1.1491 0.2037 -0.17397 0.018615 0.015317 173.54 0 0
155
+ 74 -0.33066 -0.37506 -0.34227 -0.36448 0.10948 1.5643 1.0528 1.157 0.18998 -0.17287 0.019521 0.015459 180.33 0 0
156
+ 75 -0.34227 -0.36448 -0.35355 -0.35355 0.11151 1.5994 1.113 1.1486 0.16958 -0.16433 0.020146 0.01546 179.76 0 0
157
+ 76 -0.35355 -0.35355 -0.36448 -0.34227 0.11733 1.6878 1.212 1.1746 0.17156 -0.17704 0.021733 0.015668 201.31 0 0
158
+ 77 -0.36448 -0.34227 -0.37506 -0.33066 0.12145 1.7332 1.2819 1.1665 0.16073 -0.17664 0.02266 0.015547 203.8 0 0
159
+ 78 -0.37506 -0.33066 -0.38526 -0.31871 0.12519 1.7987 1.3678 1.1682 0.15442 -0.1808 0.023909 0.015509 203.66 0 0
160
+ 79 -0.38526 -0.31871 -0.39508 -0.30645 0.13157 1.8751 1.4634 1.1724 0.1556 -0.19423 0.02543 0.015364 217 0 0
161
+ 80 -0.39508 -0.30645 -0.40451 -0.29389 0.13382 1.9116 1.5287 1.1478 0.13705 -0.18253 0.026164 0.015161 215.56 0 0
162
+ 81 -0.40451 -0.29389 -0.41354 -0.28104 0.13826 1.9863 1.6251 1.1421 0.13909 -0.19791 0.02771 0.014831 230.24 0 0
163
+ 82 -0.41354 -0.28104 -0.42216 -0.26791 0.14127 2.0298 1.6966 1.1144 0.12604 -0.19188 0.028628 0.014491 231.25 0 0
164
+ 83 -0.42216 -0.26791 -0.43037 -0.25452 0.14569 2.096 1.7872 1.0952 0.12217 -0.19936 0.029991 0.014071 245.97 0 0
165
+ 84 -0.43037 -0.25452 -0.43815 -0.24088 0.15067 2.1653 1.8808 1.0728 0.11487 -0.2014 0.031347 0.013688 252.36 0 0
166
+ 85 -0.43815 -0.24088 -0.4455 -0.227 0.15376 2.2066 1.9501 1.0325 0.10019 -0.18923 0.032205 0.013246 252.11 0 0
167
+ 86 -0.4455 -0.227 -0.45241 -0.21289 0.15915 2.2838 2.0509 1.0047 0.086085 -0.17572 0.033567 0.013022 258.99 0 0
168
+ 87 -0.45241 -0.21289 -0.45888 -0.19857 0.16253 2.3284 2.1221 0.95815 0.072255 -0.16003 0.034467 0.012536 268.5 0 0
169
+ 88 -0.45888 -0.19857 -0.46489 -0.18406 0.16313 2.3532 2.1741 0.90054 0.071669 -0.17302 0.035275 0.011427 264.27 0 0
170
+ 89 -0.46489 -0.18406 -0.47044 -0.16937 0.16834 2.4258 2.2692 0.85744 0.060581 -0.16032 0.036594 0.01095 272.13 0 0
171
+ 90 -0.47044 -0.16937 -0.47553 -0.15451 0.17168 2.4662 2.3333 0.79885 0.048059 -0.14037 0.037404 0.010343 276.36 0 0
172
+ 91 -0.47553 -0.15451 -0.48015 -0.1395 0.17492 2.5075 2.3967 0.73731 0.038008 -0.12355 0.038242 0.0096407 280.87 0 0
173
+ 92 -0.48015 -0.1395 -0.48429 -0.12434 0.17526 2.5201 2.4308 0.66499 0.030712 -0.11227 0.038664 0.0086819 280.48 0 0
174
+ 93 -0.48429 -0.12434 -0.48796 -0.10907 0.17879 2.5666 2.4957 0.59916 0.029511 -0.12292 0.039664 0.0074804 286.04 0 0
175
+ 94 -0.48796 -0.10907 -0.49114 -0.093691 0.17867 2.5633 2.51 0.5198 0.019351 -0.093443 0.03973 0.006697 289.69 0 0
176
+ 95 -0.49114 -0.093691 -0.49384 -0.078217 0.18391 2.6505 2.6111 0.45571 0.016578 -0.094988 0.041273 0.0056659 303.6 0 0
177
+ 96 -0.49384 -0.078217 -0.49606 -0.062667 0.18226 2.6363 2.61 0.37146 0.010713 -0.075274 0.041165 0.0046523 294.12 0 0
178
+ 97 -0.49606 -0.062667 -0.49778 -0.047054 0.1851 2.6634 2.6473 0.29227 0.0042514 -0.038509 0.041649 0.0039859 287.71 0 0
179
+ 98 -0.49778 -0.047054 -0.49901 -0.031395 0.18682 2.683 2.6748 0.21051 0.0038999 -0.049553 0.042075 0.0025282 300.66 0 0
180
+ 99 -0.49901 -0.031395 -0.49975 -0.015705 0.18403 2.6544 2.6514 0.12504 0.00043016 -0.0091214 0.041654 0.0018208 294.6 0 0
181
+ 100 -0.49975 -0.015705 -0.5 0 0.18695 2.679 2.6787 0.04208 0.00011905 -0.0075782 0.042077 0.00054194 292.02 0 0
182
+ 101 -0.5 0 -0.49975 0.015705 0.18576 2.6671 2.6668 -0.041893 0.00028819 0.018345 0.041893 -0.00036988 298.94 0 0
183
+ 102 -0.49975 0.015705 -0.49901 0.031395 0.18547 2.6766 2.6736 -0.12609 0.0011082 0.023498 0.042013 -0.0016114 303.28 0 0
184
+ 103 -0.49901 0.031395 -0.49778 0.047054 0.18509 2.6559 2.6477 -0.20838 0.0043213 0.054908 0.041657 -0.0024106 286.86 0 0
185
+ 104 -0.49778 0.047054 -0.49606 0.062667 0.18087 2.6107 2.5949 -0.28648 0.0065562 0.059385 0.040862 -0.0035671 294.9 0 0
186
+ 105 -0.49606 0.062667 -0.49384 0.078217 0.18218 2.6198 2.5936 -0.36913 0.0080981 0.0569 0.040866 -0.0049043 289.52 0 0
187
+ 106 -0.49384 0.078217 -0.49114 0.093691 0.18227 2.6309 2.5918 -0.45233 0.013704 0.078518 0.040925 -0.0058716 300.04 0 0
188
+ 107 -0.49114 0.093691 -0.48796 0.10907 0.18211 2.6073 2.5531 -0.52872 0.01963 0.094788 0.040411 -0.006816 294.38 0 0
189
+ 108 -0.48796 0.10907 -0.48429 0.12434 0.17797 2.5628 2.492 -0.59827 0.02594 0.10805 0.03955 -0.0077001 291.93 0 0
190
+ 109 -0.48429 0.12434 -0.48015 0.1395 0.17827 2.5724 2.4812 -0.67879 0.03328 0.12165 0.039496 -0.0087512 298.29 0 0
191
+ 110 -0.48015 0.1395 -0.47553 0.15451 0.17471 2.5078 2.397 -0.7374 0.038494 0.12513 0.038254 -0.0096172 281.48 0 0
192
+ 111 -0.47553 0.15451 -0.47044 0.16937 0.17162 2.4706 2.3374 -0.80028 0.052209 0.15249 0.037535 -0.010175 277.04 0 0
193
+ 112 -0.47044 0.16937 -0.46489 0.18406 0.16722 2.4185 2.2624 -0.85488 0.060469 0.16003 0.036486 -0.010914 270.73 0 0
194
+ 113 -0.46489 0.18406 -0.45888 0.19857 0.16617 2.3883 2.2065 -0.91397 0.074755 0.18047 0.035832 -0.011521 274.27 0 0
195
+ 114 -0.45888 0.19857 -0.45241 0.21289 0.16208 2.3315 2.1249 -0.95945 0.077771 0.17224 0.034599 -0.012365 267.32 0 0
196
+ 115 -0.45241 0.21289 -0.4455 0.227 0.16003 2.3041 2.0692 -1.0137 0.085188 0.17389 0.033839 -0.013191 262.01 0 0
197
+ 116 -0.4455 0.227 -0.43815 0.24088 0.1544 2.2193 1.9613 -1.0385 0.088791 0.1677 0.032202 -0.013677 251.5 0 0
198
+ 117 -0.43815 0.24088 -0.43037 0.25452 0.15011 2.15 1.8675 -1.0652 0.10745 0.18838 0.031022 -0.013773 240.26 0 0
199
+ 118 -0.43037 0.25452 -0.42216 0.26791 0.14695 2.0984 1.7892 -1.0964 0.11123 0.18151 0.029851 -0.014371 237.42 0 0
200
+ 119 -0.42216 0.26791 -0.41354 0.28104 0.14486 2.0812 1.7395 -1.1426 0.12818 0.19513 0.029336 -0.014883 239.07 0 0
201
+ 120 -0.41354 0.28104 -0.40451 0.29389 0.13652 1.9689 1.6109 -1.1321 0.1356 0.19293 0.027432 -0.014752 220 0 0
202
+ 121 -0.40451 0.29389 -0.39508 0.30645 0.13489 1.9255 1.5398 -1.1561 0.14191 0.18901 0.026415 -0.015191 216.77 0 0
203
+ 122 -0.39508 0.30645 -0.38526 0.31871 0.13066 1.8648 1.4554 -1.166 0.15678 0.1957 0.025322 -0.01524 209.01 0 0
204
+ 123 -0.38526 0.31871 -0.37506 0.33066 0.12744 1.8145 1.3797 -1.1784 0.16001 0.18734 0.024185 -0.015567 208.49 0 0
205
+ 124 -0.37506 0.33066 -0.36448 0.34227 0.11863 1.7009 1.258 -1.1447 0.17748 0.19505 0.022548 -0.014917 207.08 0 0
206
+ 125 -0.36448 0.34227 -0.35355 0.35355 0.11576 1.6565 1.1896 -1.1528 0.17163 0.17711 0.021381 -0.015325 201.37 0 0
207
+ 126 -0.35355 0.35355 -0.34227 0.36448 0.11302 1.6135 1.1229 -1.1587 0.18836 0.18253 0.020596 -0.015333 190.29 0 0
208
+ 127 -0.34227 0.36448 -0.33066 0.37506 0.10768 1.5398 1.0363 -1.1388 0.20458 0.18616 0.01949 -0.014964 180.39 0 0
209
+ 128 -0.33066 0.37506 -0.31871 0.38526 0.10373 1.4868 0.96557 -1.1305 0.19792 0.16904 0.018275 -0.015103 174.57 0 0
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/runmpirun128.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 2
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/runmpirun64.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 1
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 64 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/slurm-28429537.out ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SPARTA (4 Sep 2024)
2
+ Running on 128 MPI task(s)
3
+ Running on 128 MPI task(s)
4
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
5
+ Created 75199 child grid cells
6
+ CPU time = 0.104002 secs
7
+ create/ghost percent = 1.08983 98.9102
8
+ Balance grid migrated 75062 cells
9
+ CPU time = 0.0922521 secs
10
+ reassign/sort/migrate/ghost percent = 61.1378 0.0344816 9.11365 29.7141
11
+ Reading surface file ...
12
+ 200 lines
13
+ -0.5 0.5 xlo xhi
14
+ -0.5 0.5 ylo yhi
15
+ 0 0 zlo zhi
16
+ 0.0157073 min line length
17
+ 400 0 = cells overlapping surfs, overlap cells with unmarked corner pts
18
+ 67183 7616 400 = cells outside/inside/overlapping surfs
19
+ 398 2 = surf cells with 1,2,etc splits
20
+ 109.214731023047 109.214731023047 = cell-wise and global flow volume
21
+ CPU time = 0.10082 secs
22
+ read/check/sort/surf2grid/ghost/inout/particle percent = 20.9221 22.9283 3.04333 26.0674 27.039 6.61949 0.186778
23
+ surf2grid time = 0.026281 secs
24
+ map/comm1/comm2/comm3/comm4/split percent = 12.545 23.1905 5.60047 2.15538 17.3737 6.72432
25
+ Balance grid migrated 1851 cells
26
+ CPU time = 0.0396212 secs
27
+ reassign/sort/migrate/ghost percent = 11.6932 0.0664543 22.8307 65.4096
28
+ Creating particles ...
29
+ Created 511944 particles
30
+ CPU time = 0.0150648 secs
31
+ Memory usage per proc in Mbytes:
32
+ particles (ave,min,max) = 1.7666 0 3.375
33
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
34
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
35
+ total (ave,min,max) = 5.52902 3.22189 8.28439
36
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
37
+ 0 0 511944 0 0 0 0 0
38
+ 10000 15.56117 558724 14046 11767 16 533915.83 11.865
39
+ 20000 32.768835 563569 14285 12077 13 548120.97 11.96035
40
+ 30000 49.68676 563677 14300 12044 13 553551.97 11.985767
41
+ 40000 67.428807 565124 14301 12101 13 556315.09 12.005775
42
+ 50000 84.764981 564383 14254 11996 14 557904.73 12.00812
43
+ 60000 102.02513 565078 14335 12173 16 559009.3 12.025433
44
+ 70000 119.19172 564277 14350 12074 10 559798.97 12.026857
45
+ 80000 137.09232 564878 14255 12054 15 560316.04 12.03065
46
+ 90000 154.44026 564835 14277 12073 14 560823.47 12.035878
47
+ 100000 171.04846 563758 14251 12067 17 561173.24 12.04
48
+ 110000 188.31147 563981 14250 12076 12 561437.52 12.043027
49
+ 120000 205.92771 564223 14388 12159 13 561646.69 12.041658
50
+ 130000 223.02068 563580 14259 12068 12 561846.78 12.047438
51
+ 140000 240.15653 564984 14332 12165 20 562029.09 12.045979
52
+ 150000 258.06613 563862 14323 12061 7 562214.66 12.04756
53
+ 160000 275.36846 563254 14260 12157 12 562339.29 12.046188
54
+ 170000 291.97781 563641 14365 12145 6 562460.35 12.047376
55
+ 180000 309.85186 564334 14263 11965 9 562562.89 12.045961
56
+ 190000 327.33296 563758 14176 11971 8 562632.92 12.042847
57
+ 200000 344.53946 564369 14124 11908 17 562709.48 12.044335
58
+ Loop time of 344.54 on 128 procs for 200000 steps with 564369 particles
59
+
60
+ MPI task timing breakdown:
61
+ Section | min time | avg time | max time |%varavg| %total
62
+ ---------------------------------------------------------------
63
+ Move | 0.023146 | 13.73 | 80.726 | 473.0 | 3.99
64
+ Coll | 0.37691 | 15.824 | 122.69 | 543.7 | 4.59
65
+ Sort | 0.12979 | 2.3899 | 15.285 | 201.5 | 0.69
66
+ Comm | 74.583 | 111.82 | 126.32 | 110.9 | 32.45
67
+ Modify | 0.018957 | 0.13519 | 2.5249 | 100.5 | 0.04
68
+ Output | 0.0049298 | 0.014861 | 0.017171 | 1.5 | 0.00
69
+ Other | | 200.6 | | | 58.23
70
+
71
+ Particle moves = 112541896965 (113B)
72
+ Cells touched = 117905249837 (118B)
73
+ Particle comms = 227897967 (228M)
74
+ Boundary collides = 0 (0K)
75
+ Boundary exits = 22943388 (22.9M)
76
+ SurfColl checks = 111609758 (112M)
77
+ SurfColl occurs = 2408867 (2.41M)
78
+ Surf reactions = 0 (0K)
79
+ Collide attempts = 3156225310 (3.16B)
80
+ Collide occurs = 2437387240 (2.44B)
81
+ Gas reactions = 0 (0K)
82
+ Particles stuck = 0
83
+ Axisymm bad moves = 0
84
+
85
+ Particle-moves/CPUsec/proc: 2.5519e+06
86
+ Particle-moves/step: 562709
87
+ Cell-touches/particle/step: 1.04766
88
+ Particle comm iterations/step: 1
89
+ Particle fraction communicated: 0.00202501
90
+ Particle fraction colliding with boundary: 0
91
+ Particle fraction exiting boundary: 0.000203865
92
+ Surface-checks/particle/step: 0.000991717
93
+ Surface-collisions/particle/step: 2.14042e-05
94
+ Surface-reactions/particle/step: 0
95
+ Collision-attempts/particle/step: 0.0280449
96
+ Collisions/particle/step: 0.0216576
97
+ Gas-reactions/particle/step: 0
98
+
99
+ Particles: 4409.13 ave 27378 max 0 min
100
+ Histogram: 84 13 6 6 7 4 4 0 1 3
101
+ Cells: 587.523 ave 590 max 587 min
102
+ Histogram: 64 0 0 62 0 0 1 0 0 1
103
+ GhostCell: 15207.6 ave 27995 max 833 min
104
+ Histogram: 21 9 12 10 17 3 6 4 16 30
105
+ EmptyCell: 127.156 ave 296 max 0 min
106
+ Histogram: 13 5 21 26 16 17 12 6 9 3
107
+ Surfs: 200 ave 200 max 200 min
108
+ Histogram: 128 0 0 0 0 0 0 0 0 0
109
+ GhostSurf: 0 ave 0 max 0 min
110
+ Histogram: 128 0 0 0 0 0 0 0 0 0
111
+ Memory usage per proc in Mbytes:
112
+ particles (ave,min,max) = 1.7666 0 3.375
113
+ grid (ave,min,max) = 3.74182 1.51379 6.57629
114
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
115
+ total (ave,min,max) = 5.72651 3.41911 8.48212
116
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
117
+ 200000 0 564369 14124 11908 0 0 0
118
+ 210000 28.946318 564397 14243 12048 17 564148.14 12.0561
119
+ 220000 58.004633 563757 14265 12050 10 564100.54 12.05215
120
+ 230000 87.037972 564815 14382 12194 14 564266.07 12.066233
121
+ 240000 116.11451 563508 14334 12087 9 564266.97 12.05125
122
+ 250000 144.91649 564899 14331 12193 6 564318.19 12.06444
123
+ 260000 174.32239 564870 14363 12038 8 564385.03 12.070767
124
+ 270000 202.55458 564185 14418 12177 12 564400.52 12.069457
125
+ 280000 232.36625 565087 14317 12134 18 564504.12 12.080275
126
+ 290000 261.0131 564290 14306 12076 8 564499.54 12.076656
127
+ 300000 290.79619 564350 14327 12022 11 564498.53 12.07657
128
+ Loop time of 290.797 on 128 procs for 100000 steps with 564350 particles
129
+
130
+ MPI task timing breakdown:
131
+ Section | min time | avg time | max time |%varavg| %total
132
+ ---------------------------------------------------------------
133
+ Move | 0.012567 | 6.9281 | 40.526 | 335.0 | 2.38
134
+ Coll | 0.18848 | 7.9834 | 62.925 | 388.1 | 2.75
135
+ Sort | 0.073244 | 1.2261 | 7.7606 | 143.6 | 0.42
136
+ Comm | 43.45 | 62.446 | 70.186 | 77.7 | 21.47
137
+ Modify | 2.6558 | 19.073 | 106.42 | 515.6 | 6.56
138
+ Output | 0.10376 | 0.10566 | 0.10967 | 0.4 | 0.04
139
+ Other | | 193 | | | 66.38
140
+
141
+ Particle moves = 56449853435 (56.4B)
142
+ Cells touched = 59137998421 (59.1B)
143
+ Particle comms = 114226275 (114M)
144
+ Boundary collides = 0 (0K)
145
+ Boundary exits = 11500764 (11.5M)
146
+ SurfColl checks = 55984311 (56M)
147
+ SurfColl occurs = 1207657 (1.21M)
148
+ Surf reactions = 0 (0K)
149
+ Collide attempts = 1591029498 (1.59B)
150
+ Collide occurs = 1228601143 (1.23B)
151
+ Gas reactions = 0 (0K)
152
+ Particles stuck = 0
153
+ Axisymm bad moves = 0
154
+
155
+ Particle-moves/CPUsec/proc: 1.51657e+06
156
+ Particle-moves/step: 564499
157
+ Cell-touches/particle/step: 1.04762
158
+ Particle comm iterations/step: 1
159
+ Particle fraction communicated: 0.0020235
160
+ Particle fraction colliding with boundary: 0
161
+ Particle fraction exiting boundary: 0.000203734
162
+ Surface-checks/particle/step: 0.000991753
163
+ Surface-collisions/particle/step: 2.13934e-05
164
+ Surface-reactions/particle/step: 0
165
+ Collision-attempts/particle/step: 0.0281848
166
+ Collisions/particle/step: 0.0217645
167
+ Gas-reactions/particle/step: 0
168
+
169
+ Particles: 4408.98 ave 27516 max 0 min
170
+ Histogram: 83 14 7 5 7 4 4 0 2 2
171
+ Cells: 587.523 ave 590 max 587 min
172
+ Histogram: 64 0 0 62 0 0 1 0 0 1
173
+ GhostCell: 15207.6 ave 27995 max 833 min
174
+ Histogram: 21 9 12 10 17 3 6 4 16 30
175
+ EmptyCell: 127.156 ave 296 max 0 min
176
+ Histogram: 13 5 21 26 16 17 12 6 9 3
177
+ Surfs: 200 ave 200 max 200 min
178
+ Histogram: 128 0 0 0 0 0 0 0 0 0
179
+ GhostSurf: 0 ave 0 max 0 min
180
+ Histogram: 128 0 0 0 0 0 0 0 0 0
181
+ Writing grid file ...
182
+ grid cells = 75199
183
+ CPU time = 0.0114789 secs
184
+ Writing surface file ...
185
+ surf elements = 200
186
+ CPU time = 0.00155174 secs
187
+ Processing 4 grid chunk(s).
188
+ Completed grid chunk number: 3
189
+ Completed grid chunk number: 2
190
+ Completed grid chunk number: 1
191
+ Completed grid chunk number: 0
192
+
193
+ Done in 0:00:11 (wall clock time)
194
+
195
+ Processing 4 grid chunk(s).
196
+ Completed grid chunk number: 3
197
+ Completed grid chunk number: 2
198
+ Completed grid chunk number: 1
199
+ Completed grid chunk number: 0
200
+
201
+ Done in 0:00:10 (wall clock time)
202
+
203
+ Processing SPARTA surface information.
204
+ Processing dump result file: ['./output/surf.300000.dat']
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/surf/Surf_300000.vtu ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="400" NumberOfCells="200" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="1" RangeMax="200" offset="0" />
9
+ <DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="432" />
10
+ <DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="1468" />
11
+ <DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="2476" />
12
+ <DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="3508" />
13
+ <DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00244" RangeMax="0.18695" offset="4512" />
14
+ <DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.029477" RangeMax="2.683" offset="6480" />
15
+ <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.052091" RangeMax="2.6787" offset="8524" />
16
+ <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-1.1784" RangeMax="1.1746" offset="10648" />
17
+ <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.00046344" RangeMax="0.23082" offset="12736" />
18
+ <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.2014" RangeMax="0.1957" offset="14856" />
19
+ <DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.00081801" RangeMax="0.042077" offset="16984" />
20
+ <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.015567" RangeMax="0.015668" offset="19136" />
21
+ <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="1.9054" RangeMax="303.6" offset="21280" />
22
+ <DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0" RangeMax="0" offset="22896" />
23
+ <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="22948" />
24
+ </CellData>
25
+ <Points>
26
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="23000" />
27
+ </Points>
28
+ <Cells>
29
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="24328" />
30
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="25232" />
31
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="25724" />
32
+ </Cells>
33
+ </Piece>
34
+ </UnstructuredGrid>
35
+ <AppendedData encoding="base64">
36
+ _AQAAAACAAABABgAAMAEAAA==eJwtyzeOVVEQRdETEhIQEBC0EEIIIQSNt32Bxnvv4eJhFjWUN5QayhsCQ0Dor0qWjrYq+X9/d7K5sWEP93If9/MAt3iQh3iYR3iUx3icJ3iS2zzF0zzDszzH87zAi7zEy7zCq9zh2FjMNZu5bjM3bGbXZm7azC2buW0zd2zmrs3cs5n7NvPAZh7azCObeWwzTzYOFpt5qrPYzDOdxWae6yw280JnsZmXOovNvNJZbOa1zmIzb3QWm3mrs9jMO53FZt7rLDbzQWexmY86i8180lls5rPOYjNz4xYHJ4sLmyvzxT8HJ4sLmyvz1T8HJ4sLmyvzzT8HJ4sLmyvz3T8HJ4sLmyvzwz8HJ4sLmyvz0z8HJ4sLmyvzyz8HJ4sLmyvz2z8HJ4sLmyvzZ/wDaXOy2Q==AQAAAACAAABABgAA9QIAAA==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AQAAAACAAABABgAA4AIAAA==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AQAAAACAAABABgAA8wIAAA==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AQAAAACAAABABgAA3wIAAA==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AQAAAACAAABABgAA6wUAAA==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AQAAAACAAABABgAADAYAAA==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AQAAAACAAABABgAAOwYAAA==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AQAAAACAAABABgAANgYAAA==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eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
37
+ </AppendedData>
38
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0661_Kn0p32Ma3p0/surf/geom.surf ADDED
@@ -0,0 +1,610 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Surface element file written by SPARTA
2
+
3
+ 400 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
+ 1 0.5 0
9
+ 2 0.499753280182866 -0.0157053795390643
10
+ 3 0.499753280182866 -0.0157053795390643
11
+ 4 0.499013364214136 -0.0313952597646568
12
+ 5 0.499013364214136 -0.0313952597646568
13
+ 6 0.49778098230154 -0.0470541566592573
14
+ 7 0.49778098230154 -0.0470541566592573
15
+ 8 0.496057350657239 -0.0626666167821523
16
+ 9 0.496057350657239 -0.0626666167821523
17
+ 10 0.493844170297569 -0.0782172325201156
18
+ 11 0.493844170297569 -0.0782172325201156
19
+ 12 0.491143625364344 -0.0936906572928624
20
+ 13 0.491143625364344 -0.0936906572928624
21
+ 14 0.487958380969374 -0.109071620698271
22
+ 15 0.487958380969374 -0.109071620698271
23
+ 16 0.484291580564315 -0.124344943582427
24
+ 17 0.484291580564315 -0.124344943582427
25
+ 18 0.480146842838471 -0.139495553019615
26
+ 19 0.480146842838471 -0.139495553019615
27
+ 20 0.475528258147577 -0.154508497187474
28
+ 21 0.475528258147577 -0.154508497187474
29
+ 22 0.470440384477113 -0.169368960122646
30
+ 23 0.470440384477113 -0.169368960122646
31
+ 24 0.464888242944126 -0.184062276342339
32
+ 25 0.464888242944126 -0.184062276342339
33
+ 26 0.458877312841991 -0.19857394531739
34
+ 27 0.458877312841991 -0.19857394531739
35
+ 28 0.45241352623301 -0.212889645782536
36
+ 29 0.45241352623301 -0.212889645782536
37
+ 30 0.445503262094184 -0.226995249869774
38
+ 31 0.445503262094184 -0.226995249869774
39
+ 32 0.438153340021932 -0.240876837050858
40
+ 33 0.438153340021932 -0.240876837050858
41
+ 34 0.430371013501972 -0.254520707875186
42
+ 35 0.430371013501972 -0.254520707875186
43
+ 36 0.422163962751007 -0.267913397489498
44
+ 37 0.422163962751007 -0.267913397489498
45
+ 38 0.413540287137281 -0.281041688926065
46
+ 39 0.413540287137281 -0.281041688926065
47
+ 40 0.404508497187474 -0.293892626146237
48
+ 41 0.404508497187474 -0.293892626146237
49
+ 42 0.395077506187845 -0.306453526826488
50
+ 43 0.395077506187845 -0.306453526826488
51
+ 44 0.385256621387895 -0.318711994874345
52
+ 45 0.385256621387895 -0.318711994874345
53
+ 46 0.37505553481523 -0.330655932661826
54
+ 47 0.37505553481523 -0.330655932661826
55
+ 48 0.364484313710706 -0.342273552964344
56
+ 49 0.364484313710706 -0.342273552964344
57
+ 50 0.353553390593274 -0.353553390593274
58
+ 51 0.353553390593274 -0.353553390593274
59
+ 52 0.342273552964344 -0.364484313710706
60
+ 53 0.342273552964344 -0.364484313710706
61
+ 54 0.330655932661826 -0.37505553481523
62
+ 55 0.330655932661826 -0.37505553481523
63
+ 56 0.318711994874345 -0.385256621387895
64
+ 57 0.318711994874345 -0.385256621387895
65
+ 58 0.306453526826488 -0.395077506187845
66
+ 59 0.306453526826488 -0.395077506187845
67
+ 60 0.293892626146236 -0.404508497187474
68
+ 61 0.293892626146236 -0.404508497187474
69
+ 62 0.281041688926065 -0.413540287137281
70
+ 63 0.281041688926065 -0.413540287137281
71
+ 64 0.267913397489498 -0.422163962751008
72
+ 65 0.267913397489498 -0.422163962751008
73
+ 66 0.254520707875185 -0.430371013501972
74
+ 67 0.254520707875185 -0.430371013501972
75
+ 68 0.240876837050857 -0.438153340021932
76
+ 69 0.240876837050857 -0.438153340021932
77
+ 70 0.226995249869773 -0.445503262094184
78
+ 71 0.226995249869773 -0.445503262094184
79
+ 72 0.212889645782536 -0.45241352623301
80
+ 73 0.212889645782536 -0.45241352623301
81
+ 74 0.19857394531739 -0.458877312841991
82
+ 75 0.19857394531739 -0.458877312841991
83
+ 76 0.184062276342339 -0.464888242944126
84
+ 77 0.184062276342339 -0.464888242944126
85
+ 78 0.169368960122645 -0.470440384477113
86
+ 79 0.169368960122645 -0.470440384477113
87
+ 80 0.154508497187474 -0.475528258147577
88
+ 81 0.154508497187474 -0.475528258147577
89
+ 82 0.139495553019614 -0.480146842838472
90
+ 83 0.139495553019614 -0.480146842838472
91
+ 84 0.124344943582427 -0.484291580564316
92
+ 85 0.124344943582427 -0.484291580564316
93
+ 86 0.109071620698271 -0.487958380969374
94
+ 87 0.109071620698271 -0.487958380969374
95
+ 88 0.0936906572928621 -0.491143625364344
96
+ 89 0.0936906572928621 -0.491143625364344
97
+ 90 0.0782172325201152 -0.493844170297569
98
+ 91 0.0782172325201152 -0.493844170297569
99
+ 92 0.062666616782152 -0.496057350657239
100
+ 93 0.062666616782152 -0.496057350657239
101
+ 94 0.047054156659257 -0.49778098230154
102
+ 95 0.047054156659257 -0.49778098230154
103
+ 96 0.0313952597646565 -0.499013364214136
104
+ 97 0.0313952597646565 -0.499013364214136
105
+ 98 0.015705379539064 -0.499753280182866
106
+ 99 0.015705379539064 -0.499753280182866
107
+ 100 0 -0.5
108
+ 101 0 -0.5
109
+ 102 -0.0157053795390643 -0.499753280182866
110
+ 103 -0.0157053795390643 -0.499753280182866
111
+ 104 -0.0313952597646568 -0.499013364214136
112
+ 105 -0.0313952597646568 -0.499013364214136
113
+ 106 -0.0470541566592573 -0.49778098230154
114
+ 107 -0.0470541566592573 -0.49778098230154
115
+ 108 -0.0626666167821523 -0.496057350657239
116
+ 109 -0.0626666167821523 -0.496057350657239
117
+ 110 -0.0782172325201156 -0.493844170297569
118
+ 111 -0.0782172325201156 -0.493844170297569
119
+ 112 -0.0936906572928625 -0.491143625364344
120
+ 113 -0.0936906572928625 -0.491143625364344
121
+ 114 -0.109071620698271 -0.487958380969374
122
+ 115 -0.109071620698271 -0.487958380969374
123
+ 116 -0.124344943582428 -0.484291580564315
124
+ 117 -0.124344943582428 -0.484291580564315
125
+ 118 -0.139495553019615 -0.480146842838471
126
+ 119 -0.139495553019615 -0.480146842838471
127
+ 120 -0.154508497187474 -0.475528258147577
128
+ 121 -0.154508497187474 -0.475528258147577
129
+ 122 -0.169368960122646 -0.470440384477113
130
+ 123 -0.169368960122646 -0.470440384477113
131
+ 124 -0.184062276342339 -0.464888242944126
132
+ 125 -0.184062276342339 -0.464888242944126
133
+ 126 -0.19857394531739 -0.458877312841991
134
+ 127 -0.19857394531739 -0.458877312841991
135
+ 128 -0.212889645782536 -0.45241352623301
136
+ 129 -0.212889645782536 -0.45241352623301
137
+ 130 -0.226995249869774 -0.445503262094184
138
+ 131 -0.226995249869774 -0.445503262094184
139
+ 132 -0.240876837050858 -0.438153340021932
140
+ 133 -0.240876837050858 -0.438153340021932
141
+ 134 -0.254520707875186 -0.430371013501972
142
+ 135 -0.254520707875186 -0.430371013501972
143
+ 136 -0.267913397489499 -0.422163962751007
144
+ 137 -0.267913397489499 -0.422163962751007
145
+ 138 -0.281041688926066 -0.413540287137281
146
+ 139 -0.281041688926066 -0.413540287137281
147
+ 140 -0.293892626146237 -0.404508497187474
148
+ 141 -0.293892626146237 -0.404508497187474
149
+ 142 -0.306453526826488 -0.395077506187845
150
+ 143 -0.306453526826488 -0.395077506187845
151
+ 144 -0.318711994874345 -0.385256621387895
152
+ 145 -0.318711994874345 -0.385256621387895
153
+ 146 -0.330655932661826 -0.37505553481523
154
+ 147 -0.330655932661826 -0.37505553481523
155
+ 148 -0.342273552964344 -0.364484313710706
156
+ 149 -0.342273552964344 -0.364484313710706
157
+ 150 -0.353553390593274 -0.353553390593274
158
+ 151 -0.353553390593274 -0.353553390593274
159
+ 152 -0.364484313710706 -0.342273552964344
160
+ 153 -0.364484313710706 -0.342273552964344
161
+ 154 -0.37505553481523 -0.330655932661826
162
+ 155 -0.37505553481523 -0.330655932661826
163
+ 156 -0.385256621387895 -0.318711994874345
164
+ 157 -0.385256621387895 -0.318711994874345
165
+ 158 -0.395077506187845 -0.306453526826488
166
+ 159 -0.395077506187845 -0.306453526826488
167
+ 160 -0.404508497187474 -0.293892626146237
168
+ 161 -0.404508497187474 -0.293892626146237
169
+ 162 -0.413540287137281 -0.281041688926065
170
+ 163 -0.413540287137281 -0.281041688926065
171
+ 164 -0.422163962751008 -0.267913397489498
172
+ 165 -0.422163962751008 -0.267913397489498
173
+ 166 -0.430371013501972 -0.254520707875185
174
+ 167 -0.430371013501972 -0.254520707875185
175
+ 168 -0.438153340021932 -0.240876837050857
176
+ 169 -0.438153340021932 -0.240876837050857
177
+ 170 -0.445503262094184 -0.226995249869773
178
+ 171 -0.445503262094184 -0.226995249869773
179
+ 172 -0.45241352623301 -0.212889645782536
180
+ 173 -0.45241352623301 -0.212889645782536
181
+ 174 -0.458877312841991 -0.19857394531739
182
+ 175 -0.458877312841991 -0.19857394531739
183
+ 176 -0.464888242944126 -0.184062276342339
184
+ 177 -0.464888242944126 -0.184062276342339
185
+ 178 -0.470440384477113 -0.169368960122645
186
+ 179 -0.470440384477113 -0.169368960122645
187
+ 180 -0.475528258147577 -0.154508497187473
188
+ 181 -0.475528258147577 -0.154508497187473
189
+ 182 -0.480146842838472 -0.139495553019614
190
+ 183 -0.480146842838472 -0.139495553019614
191
+ 184 -0.484291580564316 -0.124344943582427
192
+ 185 -0.484291580564316 -0.124344943582427
193
+ 186 -0.487958380969374 -0.109071620698271
194
+ 187 -0.487958380969374 -0.109071620698271
195
+ 188 -0.491143625364344 -0.0936906572928622
196
+ 189 -0.491143625364344 -0.0936906572928622
197
+ 190 -0.493844170297569 -0.0782172325201151
198
+ 191 -0.493844170297569 -0.0782172325201151
199
+ 192 -0.496057350657239 -0.0626666167821519
200
+ 193 -0.496057350657239 -0.0626666167821519
201
+ 194 -0.49778098230154 -0.0470541566592571
202
+ 195 -0.49778098230154 -0.0470541566592571
203
+ 196 -0.499013364214136 -0.0313952597646564
204
+ 197 -0.499013364214136 -0.0313952597646564
205
+ 198 -0.499753280182866 -0.015705379539064
206
+ 199 -0.499753280182866 -0.015705379539064
207
+ 200 -0.5 0
208
+ 201 -0.5 0
209
+ 202 -0.499753280182866 0.0157053795390643
210
+ 203 -0.499753280182866 0.0157053795390643
211
+ 204 -0.499013364214136 0.0313952597646568
212
+ 205 -0.499013364214136 0.0313952597646568
213
+ 206 -0.49778098230154 0.0470541566592574
214
+ 207 -0.49778098230154 0.0470541566592574
215
+ 208 -0.496057350657239 0.0626666167821523
216
+ 209 -0.496057350657239 0.0626666167821523
217
+ 210 -0.493844170297569 0.0782172325201157
218
+ 211 -0.493844170297569 0.0782172325201157
219
+ 212 -0.491143625364344 0.0936906572928625
220
+ 213 -0.491143625364344 0.0936906572928625
221
+ 214 -0.487958380969374 0.109071620698271
222
+ 215 -0.487958380969374 0.109071620698271
223
+ 216 -0.484291580564315 0.124344943582428
224
+ 217 -0.484291580564315 0.124344943582428
225
+ 218 -0.480146842838471 0.139495553019615
226
+ 219 -0.480146842838471 0.139495553019615
227
+ 220 -0.475528258147577 0.154508497187474
228
+ 221 -0.475528258147577 0.154508497187474
229
+ 222 -0.470440384477113 0.169368960122646
230
+ 223 -0.470440384477113 0.169368960122646
231
+ 224 -0.464888242944126 0.184062276342339
232
+ 225 -0.464888242944126 0.184062276342339
233
+ 226 -0.458877312841991 0.198573945317391
234
+ 227 -0.458877312841991 0.198573945317391
235
+ 228 -0.45241352623301 0.212889645782536
236
+ 229 -0.45241352623301 0.212889645782536
237
+ 230 -0.445503262094184 0.226995249869774
238
+ 231 -0.445503262094184 0.226995249869774
239
+ 232 -0.438153340021932 0.240876837050858
240
+ 233 -0.438153340021932 0.240876837050858
241
+ 234 -0.430371013501972 0.254520707875186
242
+ 235 -0.430371013501972 0.254520707875186
243
+ 236 -0.422163962751007 0.267913397489498
244
+ 237 -0.422163962751007 0.267913397489498
245
+ 238 -0.413540287137281 0.281041688926065
246
+ 239 -0.413540287137281 0.281041688926065
247
+ 240 -0.404508497187474 0.293892626146237
248
+ 241 -0.404508497187474 0.293892626146237
249
+ 242 -0.395077506187845 0.306453526826488
250
+ 243 -0.395077506187845 0.306453526826488
251
+ 244 -0.385256621387895 0.318711994874345
252
+ 245 -0.385256621387895 0.318711994874345
253
+ 246 -0.37505553481523 0.330655932661826
254
+ 247 -0.37505553481523 0.330655932661826
255
+ 248 -0.364484313710706 0.342273552964344
256
+ 249 -0.364484313710706 0.342273552964344
257
+ 250 -0.353553390593274 0.353553390593274
258
+ 251 -0.353553390593274 0.353553390593274
259
+ 252 -0.342273552964344 0.364484313710706
260
+ 253 -0.342273552964344 0.364484313710706
261
+ 254 -0.330655932661826 0.37505553481523
262
+ 255 -0.330655932661826 0.37505553481523
263
+ 256 -0.318711994874345 0.385256621387895
264
+ 257 -0.318711994874345 0.385256621387895
265
+ 258 -0.306453526826488 0.395077506187845
266
+ 259 -0.306453526826488 0.395077506187845
267
+ 260 -0.293892626146237 0.404508497187474
268
+ 261 -0.293892626146237 0.404508497187474
269
+ 262 -0.281041688926065 0.413540287137281
270
+ 263 -0.281041688926065 0.413540287137281
271
+ 264 -0.267913397489498 0.422163962751008
272
+ 265 -0.267913397489498 0.422163962751008
273
+ 266 -0.254520707875185 0.430371013501972
274
+ 267 -0.254520707875185 0.430371013501972
275
+ 268 -0.240876837050857 0.438153340021932
276
+ 269 -0.240876837050857 0.438153340021932
277
+ 270 -0.226995249869773 0.445503262094184
278
+ 271 -0.226995249869773 0.445503262094184
279
+ 272 -0.212889645782536 0.45241352623301
280
+ 273 -0.212889645782536 0.45241352623301
281
+ 274 -0.19857394531739 0.458877312841991
282
+ 275 -0.19857394531739 0.458877312841991
283
+ 276 -0.184062276342339 0.464888242944126
284
+ 277 -0.184062276342339 0.464888242944126
285
+ 278 -0.169368960122646 0.470440384477113
286
+ 279 -0.169368960122646 0.470440384477113
287
+ 280 -0.154508497187474 0.475528258147577
288
+ 281 -0.154508497187474 0.475528258147577
289
+ 282 -0.139495553019614 0.480146842838472
290
+ 283 -0.139495553019614 0.480146842838472
291
+ 284 -0.124344943582427 0.484291580564316
292
+ 285 -0.124344943582427 0.484291580564316
293
+ 286 -0.109071620698271 0.487958380969374
294
+ 287 -0.109071620698271 0.487958380969374
295
+ 288 -0.0936906572928622 0.491143625364344
296
+ 289 -0.0936906572928622 0.491143625364344
297
+ 290 -0.0782172325201154 0.493844170297569
298
+ 291 -0.0782172325201154 0.493844170297569
299
+ 292 -0.0626666167821517 0.496057350657239
300
+ 293 -0.0626666167821517 0.496057350657239
301
+ 294 -0.0470541566592569 0.49778098230154
302
+ 295 -0.0470541566592569 0.49778098230154
303
+ 296 -0.0313952597646565 0.499013364214136
304
+ 297 -0.0313952597646565 0.499013364214136
305
+ 298 -0.015705379539064 0.499753280182866
306
+ 299 -0.015705379539064 0.499753280182866
307
+ 300 0 0.5
308
+ 301 0 0.5
309
+ 302 0.0157053795390645 0.499753280182866
310
+ 303 0.0157053795390645 0.499753280182866
311
+ 304 0.031395259764657 0.499013364214136
312
+ 305 0.031395259764657 0.499013364214136
313
+ 306 0.0470541566592574 0.49778098230154
314
+ 307 0.0470541566592574 0.49778098230154
315
+ 308 0.0626666167821522 0.496057350657239
316
+ 309 0.0626666167821522 0.496057350657239
317
+ 310 0.0782172325201155 0.493844170297569
318
+ 311 0.0782172325201155 0.493844170297569
319
+ 312 0.0936906572928627 0.491143625364344
320
+ 313 0.0936906572928627 0.491143625364344
321
+ 314 0.109071620698272 0.487958380969374
322
+ 315 0.109071620698272 0.487958380969374
323
+ 316 0.124344943582428 0.484291580564315
324
+ 317 0.124344943582428 0.484291580564315
325
+ 318 0.139495553019615 0.480146842838471
326
+ 319 0.139495553019615 0.480146842838471
327
+ 320 0.154508497187474 0.475528258147577
328
+ 321 0.154508497187474 0.475528258147577
329
+ 322 0.169368960122646 0.470440384477113
330
+ 323 0.169368960122646 0.470440384477113
331
+ 324 0.184062276342339 0.464888242944126
332
+ 325 0.184062276342339 0.464888242944126
333
+ 326 0.198573945317391 0.458877312841991
334
+ 327 0.198573945317391 0.458877312841991
335
+ 328 0.212889645782536 0.45241352623301
336
+ 329 0.212889645782536 0.45241352623301
337
+ 330 0.226995249869774 0.445503262094184
338
+ 331 0.226995249869774 0.445503262094184
339
+ 332 0.240876837050858 0.438153340021932
340
+ 333 0.240876837050858 0.438153340021932
341
+ 334 0.254520707875186 0.430371013501972
342
+ 335 0.254520707875186 0.430371013501972
343
+ 336 0.267913397489498 0.422163962751007
344
+ 337 0.267913397489498 0.422163962751007
345
+ 338 0.281041688926065 0.413540287137281
346
+ 339 0.281041688926065 0.413540287137281
347
+ 340 0.293892626146237 0.404508497187473
348
+ 341 0.293892626146237 0.404508497187473
349
+ 342 0.306453526826489 0.395077506187845
350
+ 343 0.306453526826489 0.395077506187845
351
+ 344 0.318711994874345 0.385256621387895
352
+ 345 0.318711994874345 0.385256621387895
353
+ 346 0.330655932661826 0.37505553481523
354
+ 347 0.330655932661826 0.37505553481523
355
+ 348 0.342273552964344 0.364484313710706
356
+ 349 0.342273552964344 0.364484313710706
357
+ 350 0.353553390593274 0.353553390593273
358
+ 351 0.353553390593274 0.353553390593273
359
+ 352 0.364484313710706 0.342273552964344
360
+ 353 0.364484313710706 0.342273552964344
361
+ 354 0.37505553481523 0.330655932661826
362
+ 355 0.37505553481523 0.330655932661826
363
+ 356 0.385256621387895 0.318711994874345
364
+ 357 0.385256621387895 0.318711994874345
365
+ 358 0.395077506187845 0.306453526826488
366
+ 359 0.395077506187845 0.306453526826488
367
+ 360 0.404508497187474 0.293892626146236
368
+ 361 0.404508497187474 0.293892626146236
369
+ 362 0.413540287137281 0.281041688926065
370
+ 363 0.413540287137281 0.281041688926065
371
+ 364 0.422163962751008 0.267913397489498
372
+ 365 0.422163962751008 0.267913397489498
373
+ 366 0.430371013501972 0.254520707875185
374
+ 367 0.430371013501972 0.254520707875185
375
+ 368 0.438153340021932 0.240876837050858
376
+ 369 0.438153340021932 0.240876837050858
377
+ 370 0.445503262094184 0.226995249869773
378
+ 371 0.445503262094184 0.226995249869773
379
+ 372 0.45241352623301 0.212889645782536
380
+ 373 0.45241352623301 0.212889645782536
381
+ 374 0.458877312841991 0.19857394531739
382
+ 375 0.458877312841991 0.19857394531739
383
+ 376 0.464888242944126 0.184062276342339
384
+ 377 0.464888242944126 0.184062276342339
385
+ 378 0.470440384477113 0.169368960122646
386
+ 379 0.470440384477113 0.169368960122646
387
+ 380 0.475528258147577 0.154508497187473
388
+ 381 0.475528258147577 0.154508497187473
389
+ 382 0.480146842838472 0.139495553019614
390
+ 383 0.480146842838472 0.139495553019614
391
+ 384 0.484291580564316 0.124344943582427
392
+ 385 0.484291580564316 0.124344943582427
393
+ 386 0.487958380969374 0.109071620698271
394
+ 387 0.487958380969374 0.109071620698271
395
+ 388 0.491143625364344 0.0936906572928622
396
+ 389 0.491143625364344 0.0936906572928622
397
+ 390 0.493844170297569 0.078217232520115
398
+ 391 0.493844170297569 0.078217232520115
399
+ 392 0.496057350657239 0.0626666167821518
400
+ 393 0.496057350657239 0.0626666167821518
401
+ 394 0.49778098230154 0.0470541566592569
402
+ 395 0.49778098230154 0.0470541566592569
403
+ 396 0.499013364214136 0.0313952597646565
404
+ 397 0.499013364214136 0.0313952597646565
405
+ 398 0.499753280182866 0.0157053795390641
406
+ 399 0.499753280182866 0.0157053795390641
407
+ 400 0.5 0
408
+
409
+ Lines
410
+
411
+ 1 1 2
412
+ 2 3 4
413
+ 3 5 6
414
+ 4 7 8
415
+ 5 9 10
416
+ 6 11 12
417
+ 7 13 14
418
+ 8 15 16
419
+ 9 17 18
420
+ 10 19 20
421
+ 11 21 22
422
+ 12 23 24
423
+ 13 25 26
424
+ 14 27 28
425
+ 15 29 30
426
+ 16 31 32
427
+ 17 33 34
428
+ 18 35 36
429
+ 19 37 38
430
+ 20 39 40
431
+ 21 41 42
432
+ 22 43 44
433
+ 23 45 46
434
+ 24 47 48
435
+ 25 49 50
436
+ 26 51 52
437
+ 27 53 54
438
+ 28 55 56
439
+ 29 57 58
440
+ 30 59 60
441
+ 31 61 62
442
+ 32 63 64
443
+ 33 65 66
444
+ 34 67 68
445
+ 35 69 70
446
+ 36 71 72
447
+ 37 73 74
448
+ 38 75 76
449
+ 39 77 78
450
+ 40 79 80
451
+ 41 81 82
452
+ 42 83 84
453
+ 43 85 86
454
+ 44 87 88
455
+ 45 89 90
456
+ 46 91 92
457
+ 47 93 94
458
+ 48 95 96
459
+ 49 97 98
460
+ 50 99 100
461
+ 51 101 102
462
+ 52 103 104
463
+ 53 105 106
464
+ 54 107 108
465
+ 55 109 110
466
+ 56 111 112
467
+ 57 113 114
468
+ 58 115 116
469
+ 59 117 118
470
+ 60 119 120
471
+ 61 121 122
472
+ 62 123 124
473
+ 63 125 126
474
+ 64 127 128
475
+ 65 129 130
476
+ 66 131 132
477
+ 67 133 134
478
+ 68 135 136
479
+ 69 137 138
480
+ 70 139 140
481
+ 71 141 142
482
+ 72 143 144
483
+ 73 145 146
484
+ 74 147 148
485
+ 75 149 150
486
+ 76 151 152
487
+ 77 153 154
488
+ 78 155 156
489
+ 79 157 158
490
+ 80 159 160
491
+ 81 161 162
492
+ 82 163 164
493
+ 83 165 166
494
+ 84 167 168
495
+ 85 169 170
496
+ 86 171 172
497
+ 87 173 174
498
+ 88 175 176
499
+ 89 177 178
500
+ 90 179 180
501
+ 91 181 182
502
+ 92 183 184
503
+ 93 185 186
504
+ 94 187 188
505
+ 95 189 190
506
+ 96 191 192
507
+ 97 193 194
508
+ 98 195 196
509
+ 99 197 198
510
+ 100 199 200
511
+ 101 201 202
512
+ 102 203 204
513
+ 103 205 206
514
+ 104 207 208
515
+ 105 209 210
516
+ 106 211 212
517
+ 107 213 214
518
+ 108 215 216
519
+ 109 217 218
520
+ 110 219 220
521
+ 111 221 222
522
+ 112 223 224
523
+ 113 225 226
524
+ 114 227 228
525
+ 115 229 230
526
+ 116 231 232
527
+ 117 233 234
528
+ 118 235 236
529
+ 119 237 238
530
+ 120 239 240
531
+ 121 241 242
532
+ 122 243 244
533
+ 123 245 246
534
+ 124 247 248
535
+ 125 249 250
536
+ 126 251 252
537
+ 127 253 254
538
+ 128 255 256
539
+ 129 257 258
540
+ 130 259 260
541
+ 131 261 262
542
+ 132 263 264
543
+ 133 265 266
544
+ 134 267 268
545
+ 135 269 270
546
+ 136 271 272
547
+ 137 273 274
548
+ 138 275 276
549
+ 139 277 278
550
+ 140 279 280
551
+ 141 281 282
552
+ 142 283 284
553
+ 143 285 286
554
+ 144 287 288
555
+ 145 289 290
556
+ 146 291 292
557
+ 147 293 294
558
+ 148 295 296
559
+ 149 297 298
560
+ 150 299 300
561
+ 151 301 302
562
+ 152 303 304
563
+ 153 305 306
564
+ 154 307 308
565
+ 155 309 310
566
+ 156 311 312
567
+ 157 313 314
568
+ 158 315 316
569
+ 159 317 318
570
+ 160 319 320
571
+ 161 321 322
572
+ 162 323 324
573
+ 163 325 326
574
+ 164 327 328
575
+ 165 329 330
576
+ 166 331 332
577
+ 167 333 334
578
+ 168 335 336
579
+ 169 337 338
580
+ 170 339 340
581
+ 171 341 342
582
+ 172 343 344
583
+ 173 345 346
584
+ 174 347 348
585
+ 175 349 350
586
+ 176 351 352
587
+ 177 353 354
588
+ 178 355 356
589
+ 179 357 358
590
+ 180 359 360
591
+ 181 361 362
592
+ 182 363 364
593
+ 183 365 366
594
+ 184 367 368
595
+ 185 369 370
596
+ 186 371 372
597
+ 187 373 374
598
+ 188 375 376
599
+ 189 377 378
600
+ 190 379 380
601
+ 191 381 382
602
+ 192 383 384
603
+ 193 385 386
604
+ 194 387 388
605
+ 195 389 390
606
+ 196 391 392
607
+ 197 393 394
608
+ 198 395 396
609
+ 199 397 398
610
+ 200 399 400
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Grid.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Grid/Grid_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Lambda.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Lambda/Lambda_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Lambda/Lambda_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Lambda/Lambda_1_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Lambda/Lambda_2_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="3345" NumberOfCells="3166" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="13701" RangeMax="145661" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.9599" RangeMax="2.9891" offset="6540" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="3.02" RangeMax="4.96" offset="8788" />
11
+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.014762" RangeMax="0.025977" offset="9280" />
12
+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.1857" RangeMax="0.64706" offset="24632" />
13
+ </CellData>
14
+ <Points>
15
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="3.0000554988" RangeMax="7.0710678119" offset="40720" />
16
+ </Points>
17
+ <Cells>
18
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="53660" />
19
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="76912" />
20
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="82520" />
21
+ </Cells>
22
+ </Piece>
23
+ </UnstructuredGrid>
24
+ <AppendedData encoding="base64">
25
+ _AQAAAACAAADwYgAAFxMAAA==eJw12Hf4m2XdxuELJyoj7AIKcdcdcNUdnHVHZtlRhlUBozKKCtwqo07ipOwwrQOMCwoo3IpCGUrcZWlcUIYaxVFl+Pb1dz7+cx6f5zrw6NcnCWCSlO9f283//+fKOQvzA838UDNXaeZqzazUzDWauVYz12nmes38SDM/1swNmplo5iea+almfqaZn2vmF7rx27f9z7rHPbz3f/YvWGeH/3dkn9gn9sX2ap/ap/aBfWqf2Wf2JfZcNLdnz3s4txd7296yt+xL7V172962D+19e8fesS+zF3vX3rWPmvvtPXvPvry539639+3j5n77wD6wr2juv3huL/Zir8399qF9aF/Z3G8f2Uf2SXO/fWwf21c199urvdqnzf32iX1iX93cb5/ap/ZZc799Zp/Z1zT3r/D+9/L+95rbc6H77S17y76uvWtv29v2lr1v79g79nn2Yu/au/a2fWTv2Xv2+fZq79v79o59ah/YB/YF9lzi/duLvdvcbx/ah/aFzf32kX1k7zX328f2sX1Rc7+92qu939xvn9gn9sXN/fapfWofNPfbZ/aZfUlz/6Xe/97e/96+/8399pa9ZV/a3G9v29v2YXO/vWPv2Jc199u79q591Nxv79l79uXN/fa+vW8fN/fbB/aBfUVz/2Xev73Ya3O/fWgf2lc2f/2f/I4zf9bMXzQz08xfNfM3zdyjmb/z4dfNPWfW1cwjNPNIzTxKM+tpZn3NbKCZDTXT0sxGmtlYM5toZlPNbKaZzTWzhWbmaWZLzWylma3nnF7l87Gfz8d+Ph9f936v9vmwF3u1t+1D+9C+0t61j+wj+8Tet4/tY/sqe7FXe7VP7SP7xD6xr7ZX+9Q+tc/sU/vMPrOvae5f6fdhf78P+/v7wzfcb2/ZW/Z17V172962t+x9e8fesc+zF3vX3rW37SN7z96zz7dXe9/et3fsU/vAPrAvsOca799e7N3mfvvQPrQvbO63j+wje6+53z62j+2Lmvvt1V7t/eZ++8Q+sS9u7rdP7VP7oLnfPrPP7Eua+6/1/g/w/g/w94fmfnvL3rIvbe63t+1t+7C5396xd+zLmvvtXXvXPmrut/fsPfvy5n573963j5v77QP7wL6iuf86799e7LW53z60D+0rm/vtI/vIPmnut4/tY/uq5n57tVf7tLnfPrFP7Kub++1T+9Q+a+63z+wz+5rm/uu9/wO9/wN9/7/pz9fxe7qd31dme808WzPP0cxzNfM8zTxfMwt04+s9f4Nm3qiZN2nmzZrpaeYtmtlRMztpZmfN7KKZXTWzm2YWaWZ3zeyhmT01s5dm9tbMPprZV3PtB3Ku2V3l+3uQ7+9Bfr8v8vm1d+wd+zx7sXftXXvbPrL37D37fHu19+19e8c+tQ/sA/sCe270/bUXe9fetg/tQ/tCe9c+so/sveZ++9g+ti9q7rdXe7X3m/vtE/vEvri53z61T+2D5n77zD6zL2nuv8n392Df34P9fjf321v2ln1pc7+9bW/bh8399o69Y1/W3G/v2rv2UXO/vWfv2Zc399v79r593NxvH9gH9hXN/Td7//Zir8399qF9aF/Z3G8f2Uf2SXO/fWwf21c199urvdqnzf32iX1iX93cb5/ap/ZZc799Zp/Z1zT33+L9H+L9H+L3+2L321v2ln1de9fetrftLXvf3rF37PPsxd61d+1t+8jes/fs8+3V3rf37R371D6wD+wL7LnV+7cXe7f58x3qd+8wv3vM4Zo5QjNLNHOkZt6vmQ9o5oOaOYpDz5lPa+YzmvmsZj6nmc9r5guaOUkzyzRzsmZO0cypmjlNM6dr5gzNnKm59h9o5po5SzNna+YczZyrmfM0c/6cozt87w71vTvU7+6lPnf2qX1qH9in9pl9Zl9iz52+d4f53h3md9fetrfsLftSe9fetrftQ3vf3rF37Mvsxd61d+0j+8jes/fsy5v77X173z5u7rcP7AP7iub+u3zv7MVem/vtQ/vQvrK53z6yj+yT5n772D62r2rut1d7tU+b++0T+8S+urnfPrVP7bPmfvvMPrOvae6/2/s/3Ps/3O/uZe63t+wt+7r2rr1tb9tb9r69Y+/Y59mLvWvv2tv2kb1n79nn26u9b+/bO/apfWAf2Bdc1vz/Yt6/vdi7zf32oX1oX9jcbx/ZR/Zec799bB/bFzX326u92vvN/faJfWJf3Nxvn9qn9kHz33+x35MVfl+YSzRzqWYu08x3NPNdzVyumSs01/4L3lwz39ONP/f8F5r5pWZ+pZlVmrlRMzdp5mbN3KKZWzXza838RnPtv5jONfNbzfxOM7/XzB8080fN3KaZ2zWzWjN3aOZOzdylmbvnbN/rc36Uz/lRfucu9zm3j+wj+8Tet4/tY/sqe7FXe7VP7SP7xD6xr7ZX+9Q+tc/sU/vMPrOvsec+v3NH+5072u/cFb7n9pa9ZV/X3rW37W17y963d+wd+zx7sXftXXvbPrL37D37fHu19+19e8c+tQ/sA/sCe+73O2cv9m5zv31oH9oXNvfbR/aRvdfcbx/bx/ZFzf32aq/2fnO/fWKf2Bc399un9ql90Nxvn9ln9iXN/Q94/8d4/8f455zmfnvL3rIvbe63t+1t+7C5396xd+zLmvvtXXvXPmrut/fsPfvy5s9/r+8tc59m7tfMA5r5r2Zy/Vwz62jmQZp5sGYeopmHauZh3NJzZivNbK2ZR2vmMZrZRjPbaqatmcdq5nGaebxmnqCZJ2rmSZp5smbma+YpmnmqZp6mmadr5hmaeaZmnqWZjma208z2c47Wu/1/9o73eTve782Vvm/2vr1v79in9oF9YF9gz/pze7EXe9fetg/tQ/tCe9c+so/sPXvfPraP7YvsxV7t1d63j+wT+8S+uLnfPrVP7YPmfvvMPrMvae7fYG7PCX5vTvB709xvb9lb9qXN/fa2vW0fNvfbO/aOfVlzv71r79pHzf32nr1nX97cb+/b+/Zxc799YB/YVzT3b+j924u9Nvfbh/ahfWVzv31kH9knzX0v8Xl+qc838zLNdDWzg2ZerplXaOaVmnmVZl6tmddoZqFmXquZ1+nGvT3fRzP7aqavmbdq5m2a2U8z+2vmAM0cqJm3a2axZt6hmXdq5l2aOUgzB2vmEM28WzMDzbxHM+/VzPs0c6hmDtPM4Zo5QjNLNHOkbtzG9+9E378Tff+u9v2z9+w9+3J7tfftffvYPrUP7AP7Cnu29f2zF3u1t+1D+9C+0t61j+wj+8Tet4/tY/sqe7FXe7VPm/vtE/vEvrr58x/jf0emaOZDmvmwZj6imWM1c5xmjtfMCZpZqpmPauZjmvm4Zj6hmU9q5lOaOZFne86co5lzNXOeZs7XzBc1s1wzX9LMlzXzFc18VTMXaOZCzXxNM2PNfF0z39DMNzXzLc18WzMXaeZizazQzCWauVQzl2nmO5r5rmYu18wVmqma+Z5mvq+ZKzXzA838UDNXaeZqzazUzDWauVYz12nmes38SDM/1swNmplo5iea+almfqYbb/P8ds2s1swdmrlTM3dp5m7N/Ekzf9bMXzQz08xfNfM3zdyjmb9r5h+a+adm/qWZNZr5t2b+o5l7NXOfZu7XzAOa+a/m2g/CXDPraOZBmnmwZh6imYdq5mGaebhm1tXMIzTzSM08SjPraWZ9zWygmQ0109LMRprZWDObaGZTzWymmc01s4Vm5vFpnjNP18wzNPNMzTxLMx3NbKeZ7TXzbM08RzPP1czzNPN8zSzQzAs080LNvEgzL9bMSzTzUs28TDNdzeygmZdr5hWaeaVmXqWZV2vmNZpZqJnXauZ1mnm9Zt6gmTdq5k2aebNmepp5i2Z21MxOmtlZM7toZlfN7KaZRZrZXTN7aGZPzeylG9/t+UAz79HMezXzPs0cqpnDNHO4Zo7QzBLNHKmZ92vmA5r5oGaO0szRmjlGc+3fsOea+ZBmPqyZj2jmWM0cp5njNXOCZpZq5qOa+ZhmPq6ZT2jmk5r5lGZO1MxQM5/WzGc081nNfE4zn9fMFzRzkmaWaeZkzZyimVM1c5pmTtfMGZo5UzMjzZzFb3nOfFszF2nmYs2s0MwlmrlUM5dp5jua+a5mLtfMFZqpmvmeZr6vmSs18wPN/FAzV2nmas2s1Mw1mrlWM9dp5nrN/EgzP9bMDZqZaOYnmvmpZn6mmZ9r5hea+aVmfqWZVZq5UTM3aeZmzdyimVs182vN/EYzU838VjO/08zvNfMHzfxRN67x/N+a+Y9m7tXMfZq5XzMPaOa/mmtf/Fwz62jmQZp5sGYeopmHauZhmnm4ZtbVzCM080jNPEoz62lmfc1soJkNNdPSzEaa2Vgzm2hmU81sppnNNbOFZuZpZkvNbKWZrTXzaM08RjPbaGZbzbQ181jNPE4zj9fMEzTzRM08STNP1sx8zTxFM0/lSzxnXqqZl2mmq5kdNPNyzbxCM6/UzKs082rNvEYzCzXzWs28TjOv18wbNPNGzbxJM2/WTE8zb9HMjprZSTM7a2YXzeyqmd00s0gzu2tmD83sqZm9NLO3ZvbRzL6a6WvmrZp5m2b208z+mjlAMwdq5u2aWayZd2jmnZp5l2YO0szBmjlEN37I8w9r5iOaOVYzx2nmeM2coJmlmvmoZj6mmY9r5hOa+aRmPqWZEzUz1MynNfMZzXxWM5/TzOc18wXNnKSZZZo5WTOnaOZUzZymmdM1c4ZmztTMSDNnaeZszZyjmXM1c55mztfMFzWzXDNf0syXNfMVzXxVMxdo5kLNfE0zY818XTPf0Mw3eZXnzNWaWamZazRzrWau08z1mvmRZn6smRs0M9HMTzTzU838TDM/18wvNPNLzfxKM6s0c6NmbtLMzZq5RTO3aubXmvmNZqaa+a1mfqeZ32vmD5r5o2Zu08ztmlmtmTs0c6dm7tLM3Zr5k2b+rJm/aGammb9q5m+auUczf9fMPzTzT838Szc+8oa554+aszDraWZ9zWygmQ0109LMRprZWDObaGZTzWymmc01s4Vm5mlmS81spZmtNfNozTxGM9toZlvNtDXzWM08TjOP18wTNPNEzTxJM0/WzHzNPEUzT9XM0zTzdM08QzPP1MyzNNPRzHaa2V4zz9bMczTzXM08TzPP18wCzbxAMy/UzIs082K+2XOmp5m3aGZHzeykmZ01s4tmdtXMbppZpJndNbOHZvbUzF6a2Vsz+2hmX830NfNWzbxNM/tpZn/NHKCZAzXzds0s1sw7NPNOzbxLMwdp5mDNHKKZd2tmoJn3aOa9mnmfZg7VzGGaOVwzR2hmiWaO1Mz7NfMBzXxQM0dp5mjNHKO59h9c5rrxs55/TjOf18wXNHOSZpZp5mTNnKKZUzVzmmZO18wZmjlTMyPNnKWZszVzjmbO1cx5mjlfM1/UzHLNfEkzX9bMVzTzVc1coJkLNfM1zYw183XNfEMz39TMtzTzbc1cpJmLNbNCM5do5lLNXKaZ72jmu5q5XDNXaKZq5nua+b5mrtTMDzTzQ67ynLlRMzdp5mbN3KKZWzXza838RjNTzfxWM7/TzO818wfN/FEzt2nmds2s1swdmrlTM3dp5m7N/Ekzf9bMXzQz08xfNfM3zdyjmb9r5h+a+adm/qWZNZr5t2b+o5l7NXOfZu7XzAOa+a/m2n/B/J9dFlZmHTsLK/MgOwsr82A7CyvzEDsLa/N8A89ZmQ3tLKxMy87CymxkZ2FlNrazsDKb2FlYmU3tLKzMZnYWVmZzOwsrs4WdhZWZZ2dhZba0s7AyW9lZWJmt7SyszKPtLKzMY+wsrMw2dhZWZls7CyvTtrOwMo+1s7Ayj7OzsDKPt7OwMk+ws7AyT7SzsDJPsrOwMk/2vOM5s52/joWV2d7Owso8287CyjzHzsLKPNfOwso8z87CyjzfzsLKLLCzsDIvsLOwMi+0s7AyL7KzsDIvtrOwMi+xs7AyL7WzsDIvs7OwMl07Cyuzg52FlXm5nYWVeYWdhZV5pZ2FlXmVnYWVebWdhZV5jZ2FlVloZ2FlXmtn3dHznTxnYWV2trOwMrvYWViZXe0srMxudhZWZpGdhZXZ3c7CyuxhZ2Fl9rSzsDJ72VlYmb3tLKzMPnYWVmZfOwsr07ezsDJvtbOwMm+zs7Ay+9lZWJn97SyszAF2FlbmQDsLK/N2Owsrs9jOwsq8w87CyrzTzsLKvMvOwhzmOQsrc7idhZU5ws7Cyiyxs7AyR9pZWJn321lYmQ/YWViZD9pZWJmj7CyszNF2FlbmGDsLK1PsLKzMh+wsrMyH7SyszEfsLKzMsXYWVuY4Owsrc7ydhZU5wc7Cyiy1s7AyH7WzsDIfs7OwMh+3s7Ayn7CzsDKftLOwNs9P8pyVWWZnYWVOtrOwMqfYWViZU+0srMxpdhZW5nQ7Cytzhp2FlTnTzsLKjOwsrMxZdhZW5mw7Cytzjp2FlTnXzsLKnGdnYWXOt7OwMl+0s7Ayy+0srMyX7CyszJftLKzMV+wsrMxX7SyszAV2FlbmQjsLK/M1OwsrM550/w/eABeoAQAAAACAAADwYgAAhAYAAA==eJztmWtYzFkcx7tMF91E6RGWCOuS2J7YxmXPpBJpQ5uKhOQuSS4hal1zqXZzy5Yn6YKEkFuJczYpoUKoyBjT/T7NNNVMYf8zf6/2vNnH7gvsb959nmf+8z+/c87n+30xt29FaIpeGhFjlFt+fY8RWXv/w9VgKyOSN/PHA7aC3sTs2bpFWpG9yVbPc+MLJvUmxXyB7pG6XsRimanQM7oX2dsw59ZAh16Ev/5gZKXYkNh0Zi89H29IokK6Jga4GBJ9wZjf4zt7EtIYN9nCrScJlPWsu5lmQIZp7jxmp2tASnqLbYuW65ODg3yb52frkSkWz2Oqv9MjLTYOjoFbdUmCww3J++c6xM31+/gD43SI1qITzn3Ce5DMNT1k8TXaxG/LtmQLO23i4XUFN8ZpEZ2VQ/y2yDVJ1sYjfTnummTdTs79365okCGRm9b319cgil8/u5JDws56PLTKUSfcaw823x2kThoJ19wpWI2cKjhf9OKlKpnzqv92HytVwqkJH9EUoUL4R8L2zi/+iO0urmJG/YDlIauZV7zHVT6nX1q3dFOsXKZTN3YK3j3W+UwXxeMXZs7QU+vCaUeX7ff1llMcE3QywTxDho0vOb7bZiyjWEW5wZ14W97IiYcfdVC87PxiZss68FvmuFJ2tVP88N5UZhIptpc3NRCulOKxb4YyJ9SG+xEvM9tWCcVH2zWZkSQ4tGwKczXEFCuPWV2Mq8SDmBvUSvGikY8M8zJF2ElPbXSYiYhiK7PgO10VzTia621iFNtEseB12wrk2ogdpC+Je48Gis8bZJj6kzosvjx7TUxQLcWezOlfsazB8X4P+/CrqijW2HfBX3qyEq85FZmn51ZBcbrtcFOurhD39dIOnJ0toDhbjsJkYj4OH8PhjvApp9hj8YN696IyXJvUEZE2pYTiqyW3ET/1ObYb0CCc0O8Zxf3jFjI7VoQvqysuaD7Fz8Idisvyc3BBZexaf2dMscg4MDlO4zquuJ9tyN2RTHHG8mjjnCpvbKr2q29RXCL6O+umPylcZXIN1e6SH+d636WYPY8cNHOzH0e4KZ/ikU36d8f9UYjYe/eUYm6okU6vgOfI33mWp1C1hOIk00Nn0o+UIaMXXupew8opnpEQPcfiJh+VW1qXrEoSUBzUxzXEtekdstyQaTF8QgXF+fNKiw1CK9FSXvu2jrwqitn9rkE39mx/kj6vluK1wsqQsIQ6pJ2vNjygoZ7ixDSzAk/rRjRf/0CwxY4miqWSM0P65DYjiUIXLRHFW+uG/6B9QYQiNUUm02e3Umz8xL5U1Nb6aV/FFF+6sYRRVYLuFY9mklxCMfNlp3n72pAylkZLKd6gDG4pksWvSK/f0E6xAfOWUX070FFFbGZ1UJyS5MIz8ulEY/0TVbM0ZBTbH/Kr6UqRoYduf55LcpFTzPaNHC2d9HZWRHQXxWxfdSNl7Au6KS5JDJiiU/IeBSoeG/QRuSwx9ORaq/Bi555KvViqwqubbvlx8A5V3oTJd1yPD1bjKVJbJ1eN93TIa1nIanXeQJPVP0sMODy/HoqJObyM7rC21x4aPC3F9ndr8NwqkmNz4jV5ijawcdDiteQzF7tOi3cb+vaz+vZcrmKD3mN2PuhP6E/oT+hP6M/P7U+2l7qQst4ioQ+/9j5k55Jjdh7oN+g36Dfot2+339hekUGPfeM9xs7Ridn1Qy9BL0EvQS99fi+xud+O2LzvQGzOd0Kf/E/7hF23FLPrbcNPoxZ8sJNDD0APQA98yT2gogwQCWJzuA1yHXL9H+X6hNSfmKW34pM5ZpcDV4qwe+u06ijUDHkMefxV53Eo3y0pu7TxU/61oEenFSKI0PL9vt7l0yAvIS//27w0G6p7glxswIVv90zlDKjD22M/NDoerMajPLZEH+qs+PSed5j93+kN5NO/zKcFQRK3sPJXSEX5ESBX+31zs6KEKGm/XuoW8yr0au502YzrNcgiptBF0xHyAPLgy86DU2qLJ+/eV4q7tv4SpeNbjC8IIx6bhz7Gvk83brayycbCoOIxk3LSsHU8Pzwm7TDS1Zv3pp6bgVyi7+dUV+QiZ7d1+n7HnqCbzdUpBhkvwA/wA/wAP8AP8AP8AD/AD/AD/AA/wA/wA/wAP8AP8AP8AD/AD/AD/AA/wA/wA/wAP8AP8AP8AD/AD/AD/AA/wA/wA/wAP8AP8AP8AD/AD/AD/AA/wA/wA/wAP8CPr9yPvwAhGgi9AQAAAACAAADwYgAAXwEAAA==eJzt2ytMw1AUgGEk63gzPWzR6Ca4YZmeRg8Lunoa7Kanq8GCnp4edmh6zwk7CTkQXsvpkv+aT/yma7O79d62X3XLxeX2eR9/5Olg9LDMzdvOtDe/Mel0Op3ezB71u/GapwPCv/r8lIZ5Up/dqttaSafT6XS/R8/f797fpdHCf/a6yGbjofm4TCfcpNPp9E3t0fPrR+UwiwzXrNy+d8wrGSadTqd/1qPnr+9aH3z9CTBKWa6tTL0s7ZV0Oj2uR88Pv1WW38o2Nsy0GpkPTPn7MDXp9Cb36O/PutT9+x3ccLdkmPo8hEn/ukdfv6ao+5mI6Kn7JbuI6KjrwnuI6KjrbYjoqesv+4joqOsXB4joqOt5iOg5GaYbdUT01PemENHzIj0O0TtEREd9XwkRPV/SY2cLRPSUbfTiCBEdZRtkhIiechsyR0TPMxnHiOhYynthiOiZ7kKyGSJ6vgFolywYAQAAAACAAADwYgAA5iwAAA==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AQAAAACAAADwYgAADi8AAA==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AgAAAACAAADMHAAA4x4AAPEGAAA=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AQAAAACAAADwYgAAWxAAAA==eJw13KH/OXCcH/Dv7WxnN9vcZjfbbLOd29lmO3s8BEEQBEEQBEEQBEEQBEEQBOEbhG8QBEEQBEEQBEEQBEEQBEEQBEEQhIXv8/cpz7/h836/X6/A1+8LMsQwI4wyxjgTTDLFNDPMMsc8CyyyxDIrrLLGOhtsssU2O+yyxz4HHPKbI/5wzAmnnHHOBZdccc0Nt9xxzwOPPPHMC6+88c4Hn3zxzQ+//uKXAIMMMcwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yxzwGH/OaIPxxzwilnnHPBJVdcc8Mtd9zzwCNPPPPCK2+888EnX3zzw69/8kuAQYYYZoRRxhhngkmmmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEN+c8QfjjnhlDPOueCSK6654ZY77nngkSeeeeGVN9754JMvvvnh11/+EmCQIYYZYZQxxplgkimmmWGWOeZZYJEllllhlTXW2WCTLbbZYZc99jngkN8c8YdjTjjljHMuuOSKa2645Y57HnjkiWdeeOWNdz745ItvfvgVAIMMMcwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yxzwGH/OaIPxxzwilnnHPBJVdcc8Mtd9zzwCNPPPPCK2+888EnX3zzw69/+kuAQYYYZoRRxhhngkmmmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEN+c8QfjjnhlDPOueCSK6654ZY77nngkSeeeeGVN9754JMvvvnh1z/7JcAgQwwzwihjjDPBJFNMM8Msc8yzwCJLLLPCKmuss8EmW2yzwy577HPAIb854g/HnHDKGedccMkV19xwyx33PPDIE8+88Mob73zwyRff/PDrr34JMMgQw4wwyhjjTDDJFNPMMMsc8yywyBLLrLDKGutssMkW2+ywyx77HHDIb474wzEnnHLGORdccsU1N9xyxz0PPPLEMy+88sY7H3zyxTc//PPhDzDIEMOMMMoY40wwyRTTzDDLHPMssMgSy6ywyhrrbLDJFtvssMse+xxwyG+O+MMxJ5xyxjkXXHLFNTfccsc9DzzyxDMvvPLGOx988sU3P38GPf/8lwCDDDHMCKOMMc4Ek0wxzQyzzDHPAossscwKq6yxzgabbLHNDrvssc8Bh/zmiD8cc8IpZ5xzwSVXXHPDLXfc88AjTzzzwitvvPPBJ19888Ovv/4lwCBDDDPCKGOMM8EkU0wzwyxzzLPAIksss8Iqa6yzwSZbbLPDLnvsc8AhvzniD8eccMoZ51xwyRXX3HDLHfc88MgTz7zwyhvvfPDJF9/88Otf/BJgkCGGGWGUMcaZYJIppplhljnmWWCRJZZZYZU11tlgky222WGXPfY54JDfHPGHY0445YxzLrjkimtuuOWOex545IlnXnjljXc++OSLb374Z9AfYJAhhhlhlDHGmWCSKaaZYZY55llgkSWWWWGVNdbZYJMtttlhlz32OeCQ3xzxh2NOOOWMcy645IprbrjljnseeOSJZ1545Y13Pvjki29+/ix4/uUvAQYZYpgRRhljnAkmmWKaGWaZY54FFllimRVWWWOdDTbZYpsddtljnwMO+c0RfzjmhFPOOOeCS6645oZb7rjngUeeeOaFV95454NPvvjmh1//6pcAgwwxzAijjDHOBJNMMc0Ms8wxzwKLLLHMCqussc4Gm2yxzQ677LHPAYf85og/HHPCKWecc8ElV1xzwy133PPAI08888Irb7zzwSdffPPDr3/9S4BBhhhmhFHGGGeCSaaYZoZZ5phngUWWWGaFVdZYZ4NNtthmh1322OeAQ35zxB+OOeGUM8654JIrrrnhljvueeCRJ5554ZU33vngky+++eGfBX+AQYYYZoRRxhhngkmmmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEN+c8QfjjnhlDPOueCSK6654ZY77nngkSeeeeGVN9754JMvvvn5c9jxN78EGGSIYUYYZYxxJphkimlmmGWOeRZYZIllVlhljXU22GSLbXbYZY99DjjkN0f84ZgTTjnjnAsuueKaG265454HHnnimRdeeeOdDz754psffv2bXwIMMsQwI4wyxjgTTDLFNDPMMsc8CyyyxDIrrLLGOhtsssU2O+yyxz4HHPKbI/5wzAmnnHHOBZdccc0Nt9xxzwOPPPHMC6+88c4Hn3zxzQ+//u0vAQYZYpgRRhljnAkmmWKaGWaZY54FFllimRVWWWOdDTbZYpsddtljnwMO+c0RfzjmhFPOOOeCS6645oZb7rjngUeeeOaFV95454NPvvjmh38O+wIMMsQwI4wyxjgTTDLFNDPMMsc8CyyyxDIrrLLGOhtsssU2O+yyxz4HHPKbI/5wzAmnnHHOBZdccc0Nt9xxzwOPPPHMC6+88c4Hn3zxzc+fg85/90uAQYYYZoRRxhhngkmmmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEN+c8QfjjnhlDPOueCSK6654ZY77nngkSeeeeGVN9754JMvvvnh19/+EmCQIYYZYZQxxplgkimmmWGWOeZZYJEllllhlTXW2WCTLbbZYZc99jngkN8c8YdjTjjljHMuuOSKa2645Y57HnjkiWdeeOWNdz745Itvfvj1738JMMgQw4wwyhjjTDDJFNPMMMsc8yywyBLLrLDKGutssMkW2+ywyx77HHDIb474wzEnnHLGORdccsU1N9xyxz0PPPLEMy+88sY7H3zyxTc//HPQH2CQIYYZYZQxxplgkimmmWGWOeZZYJEllllhlTXW2WCTLbbZYZc99jngkN8c8YdjTjjljHMuuOSKa2645Y57HnjkiWdeeOWNdz745Itvfv4EOf7DLwEGGWKYEUYZY5wJJplimhlmmWOeBRZZYpkVVlljnQ022WKbHXbZY58DDvnNEX845oRTzjjngkuuuOaGW+6454FHnnjmhVfeeOeDT7745odf//GXAIMMMcwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yxzwGH/OaIPxxzwilnnHPBJVdcc8Mtd9zzwCNPPPPCK2+888EnX3zzw6//9EuAQYYYZoRRxhhngkmmmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEN+c8QfjjnhlDPOueCSK6654ZY77nngkSeeeeGVN9754JMvvvnhnyBfgEGGGGaEUcYYZ4JJpphmhlnmmGeBRZZYZoVV1lhng0222GaHXfbY54BDfnPEH4454ZQzzrngkiuuueGWO+554JEnnnnhlTfe+eCTL775+RPg/M+/BBhkiGFGGGWMcSaYZIppZphljnkWWGSJZVZYZY11Nthki2122GWPfQ445DdH/OGYE04545wLLrnimhtuueOeBx554pkXXnnjnQ8++eKbH379l18CDDLEMCOMMsY4E0wyxTQzzDLHPAssssQyK6yyxjobbLLFNjvsssc+BxzymyP+cMwJp5xxzgWXXHHNDbfccc8DjzzxzAuvvPHOB5988c0Pv/7rLwEGGWKYEUYZY5wJJplimhlmmWOeBRZZYpkVVlljnQ022WKbHXbZY58DDvnNEX845oRTzjjngkuuuOaGW+6454FHnnjmhVfeeOeDT7745od/AvwBBhlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZY50NNtlimx122WOfAw75zRF/OOaEU84454JLrrjmhlvuuOeBR5545oVX3njng0+++OaHX//tlwCDDDHMCKOMMc4Ek0wxzQyzzDHPAossscwKq6yxzgabbLHNDrvssc8Bh/zmiD8cc8IpZ5xzwSVXXHPDLXfc88AjTzzzwitvvPPBJ19888Ov//5LgEGGGGaEUcYYZ4JJpphmhlnmmGeBRZZYZoVV1lhng0222GaHXfbY54BDfnPEH4454ZQzzrngkiuuueGWO+554JEnnnnhlTfe+eCTL7754dff/RJgkCGGGWGUMcaZYJIppplhljnmWWCRJZZZYZU11tlgky222WGXPfY54JDfHPGHY0445YxzLrjkimtuuOWOex545IlnXnjljXc++OSLb374p7gnwCBDDDPCKGOMM8EkU0wzwyxzzLPAIksss8Iqa6yzwSZbbLPDLnvsc8AhvzniD8eccMoZ51xwyRXX3HDLHfc88MgTz7zwyhvvfPDJF9/88OvvfwkwyBDDjDDKGONMMMkU08wwyxzzLLDIEsussMoa62ywyRbb7LDLHvsccMhvjvjDMSeccsY5F1xyxTU33HLHPQ888sQzL7zyxjsffPLFNz/8+h+/BBhkiGFGGGWMcSaYZIppZphljnkWWGSJZVZYZY11Nthki2122GWPfQ445DdH/OGYE04545wLLrnimhtuueOeBx554pkXXnnjnQ8++eKbH379wy8BBhlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZY50NNtlimx122WOfAw75zRF/OOaEU84454JLrrjmhlvuuOeBR5545oVX3njng0+++OaHfwr7AgwyxDAjjDLGOBNMMsU0M8wyxzwLLLLEMiusssY6G2yyxTY77LLHPgcc8psj/nDMCaeccc4Fl1xxzQ233HHPA4888cwLr7zxzgeffPHND7/+5y8BBhlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZY50NNtlimx122WOfAw75zRF/OOaEU84454JLrrjmhlvuuOeBR5545oVX3njng0+++OaHX//rlwCDDDHMCKOMMc4Ek0wxzQyzzDHPAossscwKq6yxzgabbLHNDrvssc8Bh/zmiD8cc8IpZ5xzwSVXXHPDLXfc88AjTzzzwitvvPPBJ19888Ov//1LgEGGGGaEUcYYZ4JJpphmhlnmmGeBRZZYZoVV1lhng0222GaHXfbY54BDfnPEH4454ZQzzrngkiuuueGWO+554JEnnnnhlTfe+eCTL7754Z+i3gCDDDHMCKOMMc4Ek0wxzQyzzDHPAossscwKq6yxzgabbLHNDrvssc8Bh/zmiD8cc8IpZ5xzwSVXXHPDLXfc88AjTzzzwitvvPPBJ19888Ov//NLgEGGGGaEUcYYZ4JJpphmhlnmmGeBRZZYZoVV1lhng0222GaHXfbY54BDfnPEH4454ZQzzrngkiuuueGWO+554JEnnnnhlTfe+eCTL7754df//SXAIEMMM8IoY4wzwSRTTDPDLHPMs8AiSyyzwiprrLPBJltss8Mue+xzwCG/OeIPx5xwyhnnXHDJFdfccMsd9zzwyBPPvPDKG+988MkX3/zw6x9/CTDIEMOMMMoY40wwyRTTzDDLHPMssMgSy6ywyhrrbLDJFtvssMse+xxwyG+O+MMxJ5xyxjkXXHLFNTfccsc9DzzyxDMvvPLGOx988sU3P/xT0B9gkCGGGWGUMcaZYJIppplhljnmWWCRJZZZYZU11tlgky222WGXPfY54JDfHPGHY0445YxzLrjkimtuuOWOex545IlnXnjljXc++OSLb3749f9+CTDIEMOMMMoY40wwyRTTzDDLHPMssMgSy6ywyhrrbLDJFtvssMv/DyPROx0=AQAAAACAAABeDAAAGwAAAA==eJztwSEBAAAAwyC9/oVf4hIoAACAhwGvp29P
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Lambda/Lambda_300000.pvtu ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <PUnstructuredGrid GhostLevel="0">
6
+ <PCellData>
7
+ <PDataArray type="Float64" Name="id"/>
8
+ <PDataArray type="Float64" Name="xc"/>
9
+ <PDataArray type="Float64" Name="yc"/>
10
+ <PDataArray type="Float64" Name="c_6[1]"/>
11
+ <PDataArray type="Float64" Name="c_6[2]"/>
12
+ </PCellData>
13
+ <PPoints>
14
+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
15
+ </PPoints>
16
+ <Piece Source="Lambda_0_300000.vtu"/>
17
+ <Piece Source="Lambda_1_300000.vtu"/>
18
+ <Piece Source="Lambda_2_300000.vtu"/>
19
+ <Piece Source="Lambda_3_300000.vtu"/>
20
+ </PUnstructuredGrid>
21
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Lambda/Lambda_3_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="988" NumberOfCells="925" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="13801" RangeMax="17125" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="3.0693" RangeMax="5.9599" offset="1720" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="3.04" RangeMax="4.96" offset="2260" />
11
+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.015392" RangeMax="0.031243" offset="2528" />
12
+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.1917" RangeMax="0.38912" offset="11320" />
13
+ </CellData>
14
+ <Points>
15
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.2633360563" RangeMax="7.8102496759" offset="19140" />
16
+ </Points>
17
+ <Cells>
18
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="22312" />
19
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="28556" />
20
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="30276" />
21
+ </Cells>
22
+ </Piece>
23
+ </UnstructuredGrid>
24
+ <AppendedData encoding="base64">
25
+ _AQAAAACAAADoHAAA+AQAAA==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AQAAAACAAADoHAAAtgAAAA==eJzt2KsWglAUhGGjgjeUbMZsZi2bVsk8BFa6maxVs5ls1kwmY9UsZ5/uvMC/y/cGs/ZMVq9O3WG4zfCv3ySvHh9UXs7uRihMg+ZapAEK2zK+71pU9iHVJ1WIwrWLqWSMwtfTHSqPFlQTFLqUKuMpCu3drFFpMZXPUDiwm6PQ9zxU3goX6Kj0fRiVeyswEQr9boDKt6t5HSr9vrJAob1RFSr9DoXKjd0ShX6vQ6Wt5A0qf9Hozjg=AQAAAACAAADoHAAAsBkAAA==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AQAAAACAAACgcwAANxIAAA==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AQAAAACAAADoHAAA9wQAAA==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AQAAAACAAACdAwAAEQAAAA==eJzj5BwFo2AUDEoAANeOIIY=
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/Surf.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Surf/Surf_300000.vtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/config.txt ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ variable BZ equal 1.380649E-23
2
+ variable PI equal 3.1415926536
3
+ variable molecular_mass equal 6.63E-26
4
+ variable molecular_diameter equal 4.17E-10
5
+ variable gamma equal 1.666666667
6
+ variable R equal ${BZ}/${molecular_mass}
7
+ variable L equal 1.0
8
+ variable xmin equal -5.0
9
+ variable xmax equal 6.0
10
+ variable ymin equal -5.0
11
+ variable ymax equal 5.0
12
+ variable Kn equal 0.32
13
+ variable Ma equal 3.1
14
+ variable To equal 273.0
15
+ variable Tb equal 273.0
16
+ variable theta equal 0.0
17
+ variable mfp equal ${Kn}*${L}
18
+ variable cpmfp equal 4
19
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
20
+ variable sos equal sqrt(${gamma}*${R}*${To})
21
+ variable vo equal ${Ma}*${sos}
22
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
23
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
24
+ variable ppc equal 30
25
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
26
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
27
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
28
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
29
+ variable nave equal 10000
30
+ variable noutput equal 300000
31
+ clear
32
+ shell mkdir output
33
+ shell mkdir grid
34
+ shell mkdir surf
35
+ seed 7
36
+ dimension 2
37
+ global nrho ${nden}
38
+ global fnum ${Fnum}
39
+ timestep ${tstep}
40
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
41
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
42
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
43
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
44
+ boundary o o p
45
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
46
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
47
+ balance_grid rcb cell
48
+ species gas.species Ar
49
+ mixture air Ar frac 1.0
50
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
51
+ collide vss air gas.vhs
52
+ collide_modify vremax 100 yes remain no nearcp yes 10
53
+ read_surf cylinder.surf
54
+ surf_collide 1 diffuse 273.0 1.0
55
+ surf_modify all collide 1
56
+ fix in emit/face air xlo ylo yhi
57
+ balance_grid rcb cell
58
+ create_particles air n 0
59
+ stats 10000
60
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
61
+ run 200000
62
+ compute 1 grid all air n nrho massrho u v w
63
+ compute 2 grid all air trot
64
+ compute 3 tvib/grid all air
65
+ compute 4 thermal/grid all air press temp
66
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
67
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
68
+ dump_modify 1 format float %12.5g
69
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
70
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
71
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
72
+ dump_modify 2 format float %12.5g
73
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
74
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
75
+ dump_modify 3 format float %12.5g
76
+ run 100000
77
+ write_grid grid/final-grid.dat
78
+ write_surf surf/geom.surf
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
+ 1 0.5 0.0
9
+ 2 0.499753280182866E+000 -0.157053795390643E-001
10
+ 3 0.499013364214136E+000 -0.313952597646568E-001
11
+ 4 0.497780982301540E+000 -0.470541566592573E-001
12
+ 5 0.496057350657239E+000 -0.626666167821523E-001
13
+ 6 0.493844170297569E+000 -0.782172325201156E-001
14
+ 7 0.491143625364344E+000 -0.936906572928624E-001
15
+ 8 0.487958380969374E+000 -0.109071620698271E+000
16
+ 9 0.484291580564315E+000 -0.124344943582427E+000
17
+ 10 0.480146842838471E+000 -0.139495553019615E+000
18
+ 11 0.475528258147577E+000 -0.154508497187474E+000
19
+ 12 0.470440384477113E+000 -0.169368960122646E+000
20
+ 13 0.464888242944126E+000 -0.184062276342339E+000
21
+ 14 0.458877312841991E+000 -0.198573945317390E+000
22
+ 15 0.452413526233010E+000 -0.212889645782536E+000
23
+ 16 0.445503262094184E+000 -0.226995249869774E+000
24
+ 17 0.438153340021932E+000 -0.240876837050858E+000
25
+ 18 0.430371013501972E+000 -0.254520707875186E+000
26
+ 19 0.422163962751007E+000 -0.267913397489498E+000
27
+ 20 0.413540287137281E+000 -0.281041688926065E+000
28
+ 21 0.404508497187474E+000 -0.293892626146237E+000
29
+ 22 0.395077506187845E+000 -0.306453526826488E+000
30
+ 23 0.385256621387895E+000 -0.318711994874345E+000
31
+ 24 0.375055534815230E+000 -0.330655932661826E+000
32
+ 25 0.364484313710706E+000 -0.342273552964344E+000
33
+ 26 0.353553390593274E+000 -0.353553390593274E+000
34
+ 27 0.342273552964344E+000 -0.364484313710706E+000
35
+ 28 0.330655932661826E+000 -0.375055534815230E+000
36
+ 29 0.318711994874345E+000 -0.385256621387895E+000
37
+ 30 0.306453526826488E+000 -0.395077506187845E+000
38
+ 31 0.293892626146236E+000 -0.404508497187474E+000
39
+ 32 0.281041688926065E+000 -0.413540287137281E+000
40
+ 33 0.267913397489498E+000 -0.422163962751008E+000
41
+ 34 0.254520707875185E+000 -0.430371013501972E+000
42
+ 35 0.240876837050857E+000 -0.438153340021932E+000
43
+ 36 0.226995249869773E+000 -0.445503262094184E+000
44
+ 37 0.212889645782536E+000 -0.452413526233010E+000
45
+ 38 0.198573945317390E+000 -0.458877312841991E+000
46
+ 39 0.184062276342339E+000 -0.464888242944126E+000
47
+ 40 0.169368960122645E+000 -0.470440384477113E+000
48
+ 41 0.154508497187474E+000 -0.475528258147577E+000
49
+ 42 0.139495553019614E+000 -0.480146842838472E+000
50
+ 43 0.124344943582427E+000 -0.484291580564316E+000
51
+ 44 0.109071620698271E+000 -0.487958380969374E+000
52
+ 45 0.936906572928621E-001 -0.491143625364344E+000
53
+ 46 0.782172325201152E-001 -0.493844170297569E+000
54
+ 47 0.626666167821520E-001 -0.496057350657239E+000
55
+ 48 0.470541566592570E-001 -0.497780982301540E+000
56
+ 49 0.313952597646565E-001 -0.499013364214136E+000
57
+ 50 0.157053795390640E-001 -0.499753280182866E+000
58
+ 51 0.0 -0.5
59
+ 52 -0.157053795390643E-001 -0.499753280182866E+000
60
+ 53 -0.313952597646568E-001 -0.499013364214136E+000
61
+ 54 -0.470541566592573E-001 -0.497780982301540E+000
62
+ 55 -0.626666167821523E-001 -0.496057350657239E+000
63
+ 56 -0.782172325201156E-001 -0.493844170297569E+000
64
+ 57 -0.936906572928625E-001 -0.491143625364344E+000
65
+ 58 -0.109071620698271E+000 -0.487958380969374E+000
66
+ 59 -0.124344943582428E+000 -0.484291580564315E+000
67
+ 60 -0.139495553019615E+000 -0.480146842838471E+000
68
+ 61 -0.154508497187474E+000 -0.475528258147577E+000
69
+ 62 -0.169368960122646E+000 -0.470440384477113E+000
70
+ 63 -0.184062276342339E+000 -0.464888242944126E+000
71
+ 64 -0.198573945317390E+000 -0.458877312841991E+000
72
+ 65 -0.212889645782536E+000 -0.452413526233010E+000
73
+ 66 -0.226995249869774E+000 -0.445503262094184E+000
74
+ 67 -0.240876837050858E+000 -0.438153340021932E+000
75
+ 68 -0.254520707875186E+000 -0.430371013501972E+000
76
+ 69 -0.267913397489499E+000 -0.422163962751007E+000
77
+ 70 -0.281041688926066E+000 -0.413540287137281E+000
78
+ 71 -0.293892626146237E+000 -0.404508497187474E+000
79
+ 72 -0.306453526826488E+000 -0.395077506187845E+000
80
+ 73 -0.318711994874345E+000 -0.385256621387895E+000
81
+ 74 -0.330655932661826E+000 -0.375055534815230E+000
82
+ 75 -0.342273552964344E+000 -0.364484313710706E+000
83
+ 76 -0.353553390593274E+000 -0.353553390593274E+000
84
+ 77 -0.364484313710706E+000 -0.342273552964344E+000
85
+ 78 -0.375055534815230E+000 -0.330655932661826E+000
86
+ 79 -0.385256621387895E+000 -0.318711994874345E+000
87
+ 80 -0.395077506187845E+000 -0.306453526826488E+000
88
+ 81 -0.404508497187474E+000 -0.293892626146237E+000
89
+ 82 -0.413540287137281E+000 -0.281041688926065E+000
90
+ 83 -0.422163962751008E+000 -0.267913397489498E+000
91
+ 84 -0.430371013501972E+000 -0.254520707875185E+000
92
+ 85 -0.438153340021932E+000 -0.240876837050857E+000
93
+ 86 -0.445503262094184E+000 -0.226995249869773E+000
94
+ 87 -0.452413526233010E+000 -0.212889645782536E+000
95
+ 88 -0.458877312841991E+000 -0.198573945317390E+000
96
+ 89 -0.464888242944126E+000 -0.184062276342339E+000
97
+ 90 -0.470440384477113E+000 -0.169368960122645E+000
98
+ 91 -0.475528258147577E+000 -0.154508497187473E+000
99
+ 92 -0.480146842838472E+000 -0.139495553019614E+000
100
+ 93 -0.484291580564316E+000 -0.124344943582427E+000
101
+ 94 -0.487958380969374E+000 -0.109071620698271E+000
102
+ 95 -0.491143625364344E+000 -0.936906572928622E-001
103
+ 96 -0.493844170297569E+000 -0.782172325201151E-001
104
+ 97 -0.496057350657239E+000 -0.626666167821519E-001
105
+ 98 -0.497780982301540E+000 -0.470541566592571E-001
106
+ 99 -0.499013364214136E+000 -0.313952597646564E-001
107
+ 100 -0.499753280182866E+000 -0.157053795390640E-001
108
+ 101 -0.5 0.0
109
+ 102 -0.499753280182866E+000 0.157053795390643E-001
110
+ 103 -0.499013364214136E+000 0.313952597646568E-001
111
+ 104 -0.497780982301540E+000 0.470541566592574E-001
112
+ 105 -0.496057350657239E+000 0.626666167821523E-001
113
+ 106 -0.493844170297569E+000 0.782172325201157E-001
114
+ 107 -0.491143625364344E+000 0.936906572928625E-001
115
+ 108 -0.487958380969374E+000 0.109071620698271E+000
116
+ 109 -0.484291580564315E+000 0.124344943582428E+000
117
+ 110 -0.480146842838471E+000 0.139495553019615E+000
118
+ 111 -0.475528258147577E+000 0.154508497187474E+000
119
+ 112 -0.470440384477113E+000 0.169368960122646E+000
120
+ 113 -0.464888242944126E+000 0.184062276342339E+000
121
+ 114 -0.458877312841991E+000 0.198573945317391E+000
122
+ 115 -0.452413526233010E+000 0.212889645782536E+000
123
+ 116 -0.445503262094184E+000 0.226995249869774E+000
124
+ 117 -0.438153340021932E+000 0.240876837050858E+000
125
+ 118 -0.430371013501972E+000 0.254520707875186E+000
126
+ 119 -0.422163962751007E+000 0.267913397489498E+000
127
+ 120 -0.413540287137281E+000 0.281041688926065E+000
128
+ 121 -0.404508497187474E+000 0.293892626146237E+000
129
+ 122 -0.395077506187845E+000 0.306453526826488E+000
130
+ 123 -0.385256621387895E+000 0.318711994874345E+000
131
+ 124 -0.375055534815230E+000 0.330655932661826E+000
132
+ 125 -0.364484313710706E+000 0.342273552964344E+000
133
+ 126 -0.353553390593274E+000 0.353553390593274E+000
134
+ 127 -0.342273552964344E+000 0.364484313710706E+000
135
+ 128 -0.330655932661826E+000 0.375055534815230E+000
136
+ 129 -0.318711994874345E+000 0.385256621387895E+000
137
+ 130 -0.306453526826488E+000 0.395077506187845E+000
138
+ 131 -0.293892626146237E+000 0.404508497187474E+000
139
+ 132 -0.281041688926065E+000 0.413540287137281E+000
140
+ 133 -0.267913397489498E+000 0.422163962751008E+000
141
+ 134 -0.254520707875185E+000 0.430371013501972E+000
142
+ 135 -0.240876837050857E+000 0.438153340021932E+000
143
+ 136 -0.226995249869773E+000 0.445503262094184E+000
144
+ 137 -0.212889645782536E+000 0.452413526233010E+000
145
+ 138 -0.198573945317390E+000 0.458877312841991E+000
146
+ 139 -0.184062276342339E+000 0.464888242944126E+000
147
+ 140 -0.169368960122646E+000 0.470440384477113E+000
148
+ 141 -0.154508497187474E+000 0.475528258147577E+000
149
+ 142 -0.139495553019614E+000 0.480146842838472E+000
150
+ 143 -0.124344943582427E+000 0.484291580564316E+000
151
+ 144 -0.109071620698271E+000 0.487958380969374E+000
152
+ 145 -0.936906572928622E-001 0.491143625364344E+000
153
+ 146 -0.782172325201154E-001 0.493844170297569E+000
154
+ 147 -0.626666167821517E-001 0.496057350657239E+000
155
+ 148 -0.470541566592569E-001 0.497780982301540E+000
156
+ 149 -0.313952597646565E-001 0.499013364214136E+000
157
+ 150 -0.157053795390640E-001 0.499753280182866E+000
158
+ 151 0.0 0.5
159
+ 152 0.157053795390645E-001 0.499753280182866E+000
160
+ 153 0.313952597646570E-001 0.499013364214136E+000
161
+ 154 0.470541566592574E-001 0.497780982301540E+000
162
+ 155 0.626666167821522E-001 0.496057350657239E+000
163
+ 156 0.782172325201155E-001 0.493844170297569E+000
164
+ 157 0.936906572928627E-001 0.491143625364344E+000
165
+ 158 0.109071620698272E+000 0.487958380969374E+000
166
+ 159 0.124344943582428E+000 0.484291580564315E+000
167
+ 160 0.139495553019615E+000 0.480146842838471E+000
168
+ 161 0.154508497187474E+000 0.475528258147577E+000
169
+ 162 0.169368960122646E+000 0.470440384477113E+000
170
+ 163 0.184062276342339E+000 0.464888242944126E+000
171
+ 164 0.198573945317391E+000 0.458877312841991E+000
172
+ 165 0.212889645782536E+000 0.452413526233010E+000
173
+ 166 0.226995249869774E+000 0.445503262094184E+000
174
+ 167 0.240876837050858E+000 0.438153340021932E+000
175
+ 168 0.254520707875186E+000 0.430371013501972E+000
176
+ 169 0.267913397489498E+000 0.422163962751007E+000
177
+ 170 0.281041688926065E+000 0.413540287137281E+000
178
+ 171 0.293892626146237E+000 0.404508497187473E+000
179
+ 172 0.306453526826489E+000 0.395077506187845E+000
180
+ 173 0.318711994874345E+000 0.385256621387895E+000
181
+ 174 0.330655932661826E+000 0.375055534815230E+000
182
+ 175 0.342273552964344E+000 0.364484313710706E+000
183
+ 176 0.353553390593274E+000 0.353553390593273E+000
184
+ 177 0.364484313710706E+000 0.342273552964344E+000
185
+ 178 0.375055534815230E+000 0.330655932661826E+000
186
+ 179 0.385256621387895E+000 0.318711994874345E+000
187
+ 180 0.395077506187845E+000 0.306453526826488E+000
188
+ 181 0.404508497187474E+000 0.293892626146236E+000
189
+ 182 0.413540287137281E+000 0.281041688926065E+000
190
+ 183 0.422163962751008E+000 0.267913397489498E+000
191
+ 184 0.430371013501972E+000 0.254520707875185E+000
192
+ 185 0.438153340021932E+000 0.240876837050858E+000
193
+ 186 0.445503262094184E+000 0.226995249869773E+000
194
+ 187 0.452413526233010E+000 0.212889645782536E+000
195
+ 188 0.458877312841991E+000 0.198573945317390E+000
196
+ 189 0.464888242944126E+000 0.184062276342339E+000
197
+ 190 0.470440384477113E+000 0.169368960122646E+000
198
+ 191 0.475528258147577E+000 0.154508497187473E+000
199
+ 192 0.480146842838472E+000 0.139495553019614E+000
200
+ 193 0.484291580564316E+000 0.124344943582427E+000
201
+ 194 0.487958380969374E+000 0.109071620698271E+000
202
+ 195 0.491143625364344E+000 0.936906572928622E-001
203
+ 196 0.493844170297569E+000 0.782172325201150E-001
204
+ 197 0.496057350657239E+000 0.626666167821518E-001
205
+ 198 0.497780982301540E+000 0.470541566592569E-001
206
+ 199 0.499013364214136E+000 0.313952597646565E-001
207
+ 200 0.499753280182866E+000 0.157053795390641E-001
208
+
209
+ Lines
210
+
211
+ 1 1 2
212
+ 2 2 3
213
+ 3 3 4
214
+ 4 4 5
215
+ 5 5 6
216
+ 6 6 7
217
+ 7 7 8
218
+ 8 8 9
219
+ 9 9 10
220
+ 10 10 11
221
+ 11 11 12
222
+ 12 12 13
223
+ 13 13 14
224
+ 14 14 15
225
+ 15 15 16
226
+ 16 16 17
227
+ 17 17 18
228
+ 18 18 19
229
+ 19 19 20
230
+ 20 20 21
231
+ 21 21 22
232
+ 22 22 23
233
+ 23 23 24
234
+ 24 24 25
235
+ 25 25 26
236
+ 26 26 27
237
+ 27 27 28
238
+ 28 28 29
239
+ 29 29 30
240
+ 30 30 31
241
+ 31 31 32
242
+ 32 32 33
243
+ 33 33 34
244
+ 34 34 35
245
+ 35 35 36
246
+ 36 36 37
247
+ 37 37 38
248
+ 38 38 39
249
+ 39 39 40
250
+ 40 40 41
251
+ 41 41 42
252
+ 42 42 43
253
+ 43 43 44
254
+ 44 44 45
255
+ 45 45 46
256
+ 46 46 47
257
+ 47 47 48
258
+ 48 48 49
259
+ 49 49 50
260
+ 50 50 51
261
+ 51 51 52
262
+ 52 52 53
263
+ 53 53 54
264
+ 54 54 55
265
+ 55 55 56
266
+ 56 56 57
267
+ 57 57 58
268
+ 58 58 59
269
+ 59 59 60
270
+ 60 60 61
271
+ 61 61 62
272
+ 62 62 63
273
+ 63 63 64
274
+ 64 64 65
275
+ 65 65 66
276
+ 66 66 67
277
+ 67 67 68
278
+ 68 68 69
279
+ 69 69 70
280
+ 70 70 71
281
+ 71 71 72
282
+ 72 72 73
283
+ 73 73 74
284
+ 74 74 75
285
+ 75 75 76
286
+ 76 76 77
287
+ 77 77 78
288
+ 78 78 79
289
+ 79 79 80
290
+ 80 80 81
291
+ 81 81 82
292
+ 82 82 83
293
+ 83 83 84
294
+ 84 84 85
295
+ 85 85 86
296
+ 86 86 87
297
+ 87 87 88
298
+ 88 88 89
299
+ 89 89 90
300
+ 90 90 91
301
+ 91 91 92
302
+ 92 92 93
303
+ 93 93 94
304
+ 94 94 95
305
+ 95 95 96
306
+ 96 96 97
307
+ 97 97 98
308
+ 98 98 99
309
+ 99 99 100
310
+ 100 100 101
311
+ 101 101 102
312
+ 102 102 103
313
+ 103 103 104
314
+ 104 104 105
315
+ 105 105 106
316
+ 106 106 107
317
+ 107 107 108
318
+ 108 108 109
319
+ 109 109 110
320
+ 110 110 111
321
+ 111 111 112
322
+ 112 112 113
323
+ 113 113 114
324
+ 114 114 115
325
+ 115 115 116
326
+ 116 116 117
327
+ 117 117 118
328
+ 118 118 119
329
+ 119 119 120
330
+ 120 120 121
331
+ 121 121 122
332
+ 122 122 123
333
+ 123 123 124
334
+ 124 124 125
335
+ 125 125 126
336
+ 126 126 127
337
+ 127 127 128
338
+ 128 128 129
339
+ 129 129 130
340
+ 130 130 131
341
+ 131 131 132
342
+ 132 132 133
343
+ 133 133 134
344
+ 134 134 135
345
+ 135 135 136
346
+ 136 136 137
347
+ 137 137 138
348
+ 138 138 139
349
+ 139 139 140
350
+ 140 140 141
351
+ 141 141 142
352
+ 142 142 143
353
+ 143 143 144
354
+ 144 144 145
355
+ 145 145 146
356
+ 146 146 147
357
+ 147 147 148
358
+ 148 148 149
359
+ 149 149 150
360
+ 150 150 151
361
+ 151 151 152
362
+ 152 152 153
363
+ 153 153 154
364
+ 154 154 155
365
+ 155 155 156
366
+ 156 156 157
367
+ 157 157 158
368
+ 158 158 159
369
+ 159 159 160
370
+ 160 160 161
371
+ 161 161 162
372
+ 162 162 163
373
+ 163 163 164
374
+ 164 164 165
375
+ 165 165 166
376
+ 166 166 167
377
+ 167 167 168
378
+ 168 168 169
379
+ 169 169 170
380
+ 170 170 171
381
+ 171 171 172
382
+ 172 172 173
383
+ 173 173 174
384
+ 174 174 175
385
+ 175 175 176
386
+ 176 176 177
387
+ 177 177 178
388
+ 178 178 179
389
+ 179 179 180
390
+ 180 180 181
391
+ 181 181 182
392
+ 182 182 183
393
+ 183 183 184
394
+ 184 184 185
395
+ 185 185 186
396
+ 186 186 187
397
+ 187 187 188
398
+ 188 188 189
399
+ 189 189 190
400
+ 190 190 191
401
+ 191 191 192
402
+ 192 192 193
403
+ 193 193 194
404
+ 194 194 195
405
+ 195 195 196
406
+ 196 196 197
407
+ 197 197 198
408
+ 198 198 199
409
+ 199 199 200
410
+ 200 200 1
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/gas.species ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Species data
2
+
3
+ # species name
4
+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
5
+ # molecular mass (kg)
6
+ # rotational degrees of freedom (integer, unitless)
7
+ # inverse rotational relaxtion number (unitless)
8
+ # vibrational degrees of freedom (integer, unitless)
9
+ # inverse vibrational relaxation number (unitless)
10
+ # vibrational temperature (K)
11
+ # species weight (unitless)
12
+ # multiple of electon charge (1 for a proton)
13
+
14
+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/gas.vhs ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ # VHS collision model parameters for each species
2
+
3
+ # species name
4
+ # diameter (m)
5
+ # omega (unitless)
6
+ # tref (referenced temperature)
7
+ # alpha (unitless)
8
+
9
+ Ar 4.17e-10 0.81 273 1.0
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/grid/Grid_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/grid/Grid_1_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p32/simulation0662_Kn0p32Ma3p1/grid/Grid_2_300000.vtu ADDED
The diff for this file is too large to render. See raw diff