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- CylinderKnMa/Kn0p14/simulation0223_Kn0p14Ma4p2/output/surf.300000.dat +209 -0
- CylinderKnMa/Kn0p14/simulation0223_Kn0p14Ma4p2/surf/Surf_300000.vtu +38 -0
- CylinderKnMa/Kn0p14/simulation0223_Kn0p14Ma4p2/surf/geom.surf +610 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Grid.pvd +9 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda.pvd +9 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_10_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_11_300000.vtu +27 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_1_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_2_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_300000.pvtu +29 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_3_300000.vtu +27 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_4_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_5_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_6_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_7_300000.vtu +27 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_8_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_9_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Surf.pvd +9 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/config.txt +78 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/cylinder.surf +410 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/gas.species +14 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/gas.vhs +9 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_10_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_11_300000.vtu +35 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_1_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_2_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_300000.pvtu +37 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_3_300000.vtu +35 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_4_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_6_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_7_300000.vtu +35 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_8_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_9_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/final-grid.dat +0 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/log.sparta +319 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/mir.txt +3 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/output/surf.300000.dat +209 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/runmpirun128.sh +18 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/runmpirun64.sh +18 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/slurm-28428420.out +221 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/surf/Surf_300000.vtu +38 -0
- CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/surf/geom.surf +610 -0
- CylinderKnMa/Kn0p14/simulation0225_Kn0p14Ma4p4/Grid.pvd +9 -0
- CylinderKnMa/Kn0p14/simulation0225_Kn0p14Ma4p4/Lambda.pvd +9 -0
- CylinderKnMa/Kn0p14/simulation0225_Kn0p14Ma4p4/Lambda/Lambda_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0225_Kn0p14Ma4p4/Lambda/Lambda_10_300000.vtu +0 -0
- CylinderKnMa/Kn0p14/simulation0225_Kn0p14Ma4p4/Lambda/Lambda_11_300000.vtu +27 -0
- CylinderKnMa/Kn0p14/simulation0225_Kn0p14Ma4p4/Lambda/Lambda_1_300000.vtu +0 -0
CylinderKnMa/Kn0p14/simulation0223_Kn0p14Ma4p2/output/surf.300000.dat
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| 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 0.01458 0.65477 -0.65469 0.010285 0.00012752 0.0081173 -0.010281 0.00028905 49.463 0 0
|
| 11 |
+
129 -0.31871 0.38526 -0.30645 0.39508 0.28316 12.789 7.9964 -9.9812 1.1929 0.95565 0.14434 -0.14177 1330.6 0 0
|
| 12 |
+
2 0.49975 -0.015705 0.49901 -0.031395 0.01499 0.65156 -0.65084 0.030693 -0.00087819 -0.018622 -0.010237 0.0001896 44.242 0 0
|
| 13 |
+
130 -0.30645 0.39508 -0.29389 0.40451 0.27397 12.325 7.4002 -9.8562 1.1865 0.89082 0.13487 -0.14082 1258.9 0 0
|
| 14 |
+
3 0.49901 -0.031395 0.49778 -0.047054 0.01528 0.67518 -0.6731 0.052974 -0.0017953 -0.022811 -0.010601 0.00047378 47.762 0 0
|
| 15 |
+
131 -0.29389 0.40451 -0.28104 0.41354 0.25494 11.466 6.5933 -9.3813 1.2887 0.90571 0.1238 -0.13313 1133.8 0 0
|
| 16 |
+
4 0.49778 -0.047054 0.49606 -0.062667 0.01455 0.63331 -0.62949 0.069496 -0.0018069 -0.016367 -0.009916 0.00083452 37.783 0 0
|
| 17 |
+
132 -0.28104 0.41354 -0.26791 0.42216 0.24107 10.884 5.9757 -9.0972 1.1625 0.7636 0.11212 -0.1309 1116.1 0 0
|
| 18 |
+
5 0.49606 -0.062667 0.49384 -0.078217 0.01489 0.66634 -0.65969 0.093888 -0.0014164 -0.0099519 -0.010384 0.0013184 49.291 0 0
|
| 19 |
+
133 -0.26791 0.42216 -0.25452 0.43037 0.22884 10.298 5.3805 -8.7802 1.2365 0.75775 0.10394 -0.12601 1044.6 0 0
|
| 20 |
+
6 0.49384 -0.078217 0.49114 -0.093691 0.0139 0.60463 -0.59562 0.10395 -0.0047227 -0.02706 -0.0094298 0.0012078 45.847 0 0
|
| 21 |
+
134 -0.25452 0.43037 -0.24088 0.43815 0.21718 9.8271 4.8689 -8.5362 1.1995 0.68418 0.095319 -0.12333 999.37 0 0
|
| 22 |
+
7 0.49114 -0.093691 0.48796 -0.10907 0.01384 0.61158 -0.59887 0.12402 -0.0052336 -0.025272 -0.0094888 0.0015511 42.121 0 0
|
| 23 |
+
135 -0.24088 0.43815 -0.227 0.4455 0.20602 9.3015 4.3524 -8.2203 1.2478 0.66068 0.087965 -0.11874 986.12 0 0
|
| 24 |
+
8 0.48796 -0.10907 0.48429 -0.12434 0.01361 0.58999 -0.57369 0.13773 -0.0055712 -0.023206 -0.0090987 0.0017989 40.295 0 0
|
| 25 |
+
136 -0.227 0.4455 -0.21289 0.45241 0.19117 8.6286 3.7961 -7.7487 1.2178 0.59661 0.078755 -0.11234 904.57 0 0
|
| 26 |
+
9 0.48429 -0.12434 0.48015 -0.1395 0.01278 0.56038 -0.54052 0.14787 -0.0040188 -0.01469 -0.0085533 0.0020919 40.002 0 0
|
| 27 |
+
137 -0.21289 0.45241 -0.19857 0.45888 0.17856 8.0875 3.3281 -7.371 1.2068 0.54488 0.071231 -0.10722 848.46 0 0
|
| 28 |
+
10 0.48015 -0.1395 0.47553 -0.15451 0.01212 0.53045 -0.507 0.15597 -0.0034861 -0.011332 -0.0080183 0.0022719 38.491 0 0
|
| 29 |
+
138 -0.19857 0.45888 -0.18406 0.46489 0.16735 7.5446 2.8872 -6.9703 1.1114 0.46038 0.062808 -0.10225 769.61 0 0
|
| 30 |
+
11 0.47553 -0.15451 0.47044 -0.16937 0.01157 0.50483 -0.47761 0.16352 0.00053249 0.0015553 -0.0074936 0.0025929 45.186 0 0
|
| 31 |
+
139 -0.18406 0.46489 -0.16937 0.47044 0.15893 7.1184 2.5162 -6.6588 1.1427 0.43179 0.057471 -0.09781 755.7 0 0
|
| 32 |
+
12 0.47044 -0.16937 0.46489 -0.18406 0.01112 0.48015 -0.44916 0.16972 -0.0013558 -0.003588 -0.0070763 0.0026095 36.223 0 0
|
| 33 |
+
140 -0.16937 0.47044 -0.15451 0.47553 0.1469 6.5917 2.1352 -6.2363 1.101 0.37696 0.050832 -0.092035 710.83 0 0
|
| 34 |
+
13 0.46489 -0.18406 0.45888 -0.19857 0.01126 0.49363 -0.45606 0.1889 -0.0032132 -0.0077573 -0.0072139 0.0028453 36.746 0 0
|
| 35 |
+
141 -0.15451 0.47553 -0.1395 0.48015 0.13813 6.1945 1.8214 -5.9207 1.1004 0.33853 0.045894 -0.087681 652.28 0 0
|
| 36 |
+
14 0.45888 -0.19857 0.45241 -0.21289 0.00998 0.43012 -0.39201 0.177 0.0022469 0.0049763 -0.0061221 0.0028583 27.923 0 0
|
| 37 |
+
142 -0.1395 0.48015 -0.12434 0.48429 0.12912 5.8579 1.5458 -5.6503 1.0582 0.2895 0.040902 -0.084204 620.77 0 0
|
| 38 |
+
15 0.45241 -0.21289 0.4455 -0.227 0.00919 0.40619 -0.36477 0.1787 0.0030579 0.006242 -0.0056815 0.0029049 35.462 0 0
|
| 39 |
+
143 -0.12434 0.48429 -0.10907 0.48796 0.12062 5.4247 1.2664 -5.2748 1.0533 0.25289 0.036437 -0.078881 580.17 0 0
|
| 40 |
+
16 0.4455 -0.227 0.43815 -0.24088 0.00873 0.37772 -0.33382 0.17675 0.006174 0.011661 -0.0051464 0.0029594 36.566 0 0
|
| 41 |
+
144 -0.10907 0.48796 -0.093691 0.49114 0.11077 4.9564 1.0051 -4.8534 1.0163 0.21047 0.031751 -0.072928 530.42 0 0
|
| 42 |
+
17 0.43815 -0.24088 0.43037 -0.25452 0.00853 0.37123 -0.32246 0.18393 0.013541 0.023741 -0.0048523 0.0032619 28.74 0 0
|
| 43 |
+
145 -0.093691 0.49114 -0.078217 0.49384 0.1009 4.5692 0.78559 -4.5012 0.95138 0.16604 0.027283 -0.068094 499.13 0 0
|
| 44 |
+
18 0.43037 -0.25452 0.42216 -0.26791 0.00723 0.30682 -0.26161 0.16031 0.028008 0.045705 -0.0036692 0.003236 26.919 0 0
|
| 45 |
+
146 -0.078217 0.49384 -0.062667 0.49606 0.09479 4.2564 0.59973 -4.2139 0.95052 0.13528 0.02435 -0.064064 482.22 0 0
|
| 46 |
+
19 0.42216 -0.26791 0.41354 -0.28104 0.00721 0.29966 -0.25046 0.16452 0.025455 0.038751 -0.0035342 0.0031929 28.578 0 0
|
| 47 |
+
147 -0.062667 0.49606 -0.047054 0.49778 0.08795 3.9204 0.4302 -3.8967 0.89309 0.098598 0.020785 -0.059659 444.77 0 0
|
| 48 |
+
20 0.41354 -0.28104 0.40451 -0.29389 0.00669 0.28217 -0.23086 0.16225 0.043722 0.062211 -0.0029394 0.0035257 28.644 0 0
|
| 49 |
+
148 -0.047054 0.49778 -0.031395 0.49901 0.08127 3.6493 0.28632 -3.6381 0.85042 0.06693 0.017855 -0.056093 422.28 0 0
|
| 50 |
+
21 0.40451 -0.29389 0.39508 -0.30645 0.00647 0.27359 -0.21879 0.16427 0.041403 0.055144 -0.0027863 0.0034464 25.275 0 0
|
| 51 |
+
149 -0.031395 0.49901 -0.015705 0.49975 0.07516 3.3525 0.15792 -3.3488 0.85877 0.040498 0.01597 -0.051964 377.65 0 0
|
| 52 |
+
22 0.39508 -0.30645 0.38526 -0.31871 0.00615 0.25633 -0.20005 0.16027 0.049168 0.061372 -0.0023699 0.0034814 27.809 0 0
|
| 53 |
+
150 -0.015705 0.49975 0 0.5 0.068 3.0569 0.048016 -3.0565 0.7735 0.012151 0.012904 -0.047819 354.86 0 0
|
| 54 |
+
23 0.38526 -0.31871 0.37506 -0.33066 0.0064 0.26062 -0.19818 0.16926 0.064053 0.074997 -0.0021068 0.0038366 29.63 0 0
|
| 55 |
+
151 0 0.5 0.015705 0.49975 0.06128 2.7223 -0.04276 -2.722 0.75352 -0.011837 0.011164 -0.042941 300.9 0 0
|
| 56 |
+
24 0.37506 -0.33066 0.36448 -0.34227 0.00689 0.27751 -0.20525 0.18677 0.07457 0.081951 -0.0020527 0.0042208 35.336 0 0
|
| 57 |
+
152 0.015705 0.49975 0.031395 0.49901 0.05825 2.5882 -0.12192 -2.5854 0.67768 -0.031959 0.0087295 -0.041111 287.27 0 0
|
| 58 |
+
25 0.36448 -0.34227 0.35355 -0.35355 0.00651 0.26455 -0.18998 0.1841 0.079691 0.082235 -0.0017323 0.0041834 30.582 0 0
|
| 59 |
+
153 0.031395 0.49901 0.047054 0.49778 0.05429 2.4023 -0.18848 -2.3949 0.6985 -0.054973 0.008011 -0.03848 290.53 0 0
|
| 60 |
+
26 0.35355 -0.35355 0.34227 -0.36448 0.00703 0.29022 -0.20197 0.20842 0.10304 0.099855 -0.0015539 0.0048421 43.353 0 0
|
| 61 |
+
154 0.047054 0.49778 0.062667 0.49606 0.04914 2.1806 -0.23928 -2.1674 0.64207 -0.070885 0.0063267 -0.035157 259.67 0 0
|
| 62 |
+
27 0.34227 -0.36448 0.33066 -0.37506 0.00733 0.30053 -0.20226 0.22228 0.11665 0.10614 -0.0013447 0.0051587 37.752 0 0
|
| 63 |
+
155 0.062667 0.49606 0.078217 0.49384 0.04422 1.9632 -0.27662 -1.9436 0.60746 -0.086455 0.0051967 -0.031887 229.41 0 0
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| 64 |
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28 0.33066 -0.37506 0.31871 -0.38526 0.00801 0.32621 -0.21185 0.24805 0.133 0.11359 -0.0012387 0.0056803 47.366 0 0
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| 65 |
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156 0.078217 0.49384 0.093691 0.49114 0.0405 1.7961 -0.3088 -1.7694 0.56635 -0.098843 0.0040453 -0.029344 211.28 0 0
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| 67 |
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157 0.093691 0.49114 0.10907 0.48796 0.03751 1.6316 -0.33087 -1.5977 0.53714 -0.11124 0.0032401 -0.026843 201.25 0 0
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| 69 |
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158 0.10907 0.48796 0.12434 0.48429 0.03392 1.476 -0.34455 -1.4352 0.48944 -0.1175 0.0022758 -0.024388 175.94 0 0
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| 71 |
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159 0.12434 0.48429 0.1395 0.48015 0.03078 1.3393 -0.3534 -1.2918 0.45118 -0.12343 0.0015359 -0.02223 166.86 0 0
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160 0.1395 0.48015 0.15451 0.47553 0.02801 1.2126 -0.35655 -1.159 0.43582 -0.13407 0.0012451 -0.020311 146.48 0 0
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161 0.15451 0.47553 0.16937 0.47044 0.02496 1.0798 -0.34976 -1.0216 0.38248 -0.13095 0.00051385 -0.018103 133.92 0 0
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162 0.16937 0.47044 0.18406 0.46489 0.02337 1.001 -0.35382 -0.93635 0.37893 -0.14319 0.00039443 -0.016957 134.96 0 0
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| 79 |
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163 0.18406 0.46489 0.19857 0.45888 0.02134 0.91342 -0.34955 -0.84389 0.35789 -0.14824 0.00013092 -0.015584 108.2 0 0
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| 80 |
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| 81 |
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164 0.19857 0.45888 0.21289 0.45241 0.01889 0.81388 -0.33492 -0.74177 0.32553 -0.14698 -0.0001476 -0.01396 100.39 0 0
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| 83 |
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165 0.21289 0.45241 0.227 0.4455 0.01745 0.75462 -0.33199 -0.67767 0.30429 -0.14907 -0.00043512 -0.012986 102.15 0 0
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| 94 |
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43 0.12434 -0.48429 0.10907 -0.48796 0.03399 1.49 -0.34784 1.4488 0.51893 0.12458 0.0026874 0.024714 191.24 0 0
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46 0.078217 -0.49384 0.062667 -0.49606 0.04501 2.0025 -0.28215 1.9825 0.64315 0.091534 0.0056704 0.032577 237.32 0 0
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| 174 |
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CylinderKnMa/Kn0p14/simulation0223_Kn0p14Ma4p2/surf/Surf_300000.vtu
ADDED
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AQAAAACAAABABgAApwUAAA==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AQAAAACAAABABgAAzQUAAA==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AQAAAACAAABABgAAFgYAAA==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AQAAAACAAABABgAALAYAAA==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AQAAAACAAABABgAAIAYAAA==eJwtk3881IcfxydcKj9C3WgartaaRvlV0o/3DlmknYVbfkWG4zq/qa+IkaZDXXX5tZMfR3Yph3Pmcni7++DcQj/pB7UV0fjOtPyIbNZaf70e739er9f78Xg99bYtcYt/aQXOwi8Kxx9uhNQ5FV6DJsAtl16towf3gWbfSbuOQi/4pksl8KnSA9LmEl52hXvDeuseM0qiPwhL2x001h0GneJg0qmiIBg3TcgT7wqB4t7VlzMCQyDbx72XRGOAeXqDiSuTAUYPJ2lq3QxIqR3tpO0OgwqOp329hAmPEqL2BKUz4WRkFmXxUyZ8XUDt/P0pC3xf7f6tZAcLXN8FvFXV4cmJiCgI3hMWcM8lBppt558VUWJAWLX/AK0vDsw9yxdcTBOgzEA8vt3pGAyl3N7su3AMogcNXnqsSAIbX4K+xiEV2F+dssh3TINYd7nbAKYDmb2M+Zr8PXyvlmMRpZ0JEZ3hp80W2JB/1Zg3/GUOKKb/mO/25gAYh7Srl54HH/NahZMrF+5Ujn380C8XBpj9hr98mA9FLNVjpV8VQqFF+xhnSxFs6FB8Gjx6CVZ/bCOdqC4F9a9nVfZG8GHdbHyCIqgc/jhj+oHdTAX45tXcmCypBDV77lavWQFormsRPK6pgnu3Y2xFm6qB++O1ynG2EH4o+Ne4Fk4Ya+vxk+tAzZtW3dokglkhNeD4m3qQb55+VUlpgFC96XRa3E+QLjyh0hLdCJ2WF3Y59EhgRkwEcG2boG5OstUzRworScVJOvnNoGms60Fht8KjWIsOrxAEs6FfGH52bXBF/5bTg8k2oKx5TP2/mwx0DekvnUdksN+V2phvI4dhlzu23Cg5/O/45c8djQgYtT8j9nwiBwrtgrAwmQByhWF2ZT0BzuMCZrqAANQusuaLCVi9VvkcKgjQ4Gw9ezCbgJIubsWRDQTcffLrCu4VOaTEj/3MSJTDlea1T8W/ymC4hRki3yyD1P39gsywNnhX2wiBZdpFXWbdAlNWWc/z6FKQOk33t9Gvw3OH5wE3NjWC4Td+Rrk8MVR9uWawnyyC4lvjtGdxNWBt1eWf8VkVtHDKt4v+LIcqqWgF6X4R1PuX6eTVnYfHPa+/XXwaB50sZZXGtkT0ixfdO47n0fZQk4vmEh5aHrbZNJBZgXcOJO6Qh1/BYb6P0ypuDd7f4jjENhHhR7o5J/cpxJjrNEPNU2/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|
| 37 |
+
</AppendedData>
|
| 38 |
+
</VTKFile>
|
CylinderKnMa/Kn0p14/simulation0223_Kn0p14Ma4p2/surf/geom.surf
ADDED
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| 1 |
+
# Surface element file written by SPARTA
|
| 2 |
+
|
| 3 |
+
400 points
|
| 4 |
+
200 lines
|
| 5 |
+
|
| 6 |
+
Points
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| 7 |
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AQAAAACAAAAwJQAAiB0AAA==eJxFWndczd8flhFlJqusQjapr5GMR7JJIbITItnKFlJZITN7l8qI0N1773spilJ2ISuVrd85H5/XT/9cd7jnfd7v93nez/Oc2/heaaP5i21IOHo++Ge0DSmK/OEH42wYdbTKPvSEDU2bQVOYbYPKQ3v2vtwG59NJS/3VNrQWjqh8KLPhkcdVrj3HhhlLJjsKxDYYlh0cO8pig12fc37+1TaQD01zaHEP2Nek3fI29+B5efqKJf1s2FF9Y6F2FPk+R6dV9aba8Gz+yIZXwmyIbxh482i4De8/5S3cv8mGF6teh0Rtt2HM8ucvt+6yIXvAN8XCqzZ0LPi+NVJkw8pPCfpgEtdyuqzCBmtPh6ApRhs+C7bKV+TbsPhBSWSPKitWXLYT1Wlqw669q/90bmaDvHra7QUdyXr5J4eXkHj2bzu/+tkwGzYvGrv91EwbpmBl98kknm0BD9N3RdhwunWOc/IGG3x6bbgXctCGwrzYqFFHbRh4V7dOct6GxD1mbfZFG0pePA7yslhxrNHD6oEmK4K0C+y7v7BiV2GDAU+/WMG/Wibs8M2KjMgd6T9r2FCD+bNhdq1ZHtPb2FA/+8pGbTcbRCi6Nq2zDd+b1Xjh0teGdM34AXv8bNj52nf/3WCS750+D9XLbdj3ZcDFJnZWNs9WyKy8VW6drCjv9OaUfoAV6x+uENpmk+d1a1nFu6zw69Fn4dprVoR5T+3TPcOKsstTQoYarXDc/rmB6w8rEpUnQ812NnySHivLr2fDbafdeZX1bZg3OG7nHwcbvELnbo+JtmAoUyAL2lcsmxaTacHJc7dUtQwWPLcLn5L5yYLGx9usH1fXCv+os6NmdrfiT48eAeP8rDicbChwmmhFZ7vIyEczrZj/MPHimQgrCrdbG3eMt2Jpj6rjT45YQaMsSbFCd0KYfLCxBXb9spfd8LRgZn5Oo20BFvTJb1jQItyCpecPaBsEW5AWfeuPNcyCfCFNnAXerzM9XsZZwGny8kL8SQv616QdQZ5/+Z274Y0FqzwGkZcseFRP9e5HHSuY9mhmxduSgJHd95lRnr04uXa6GUz60sz4LcoYk5BlRq5/X0FcvhnR2c1/Gj+Y8Sh0XWC7FhZk5tN/WGBf2StK0NMCJT1GTS0w3Xvxtf9vMybFLWk1tIMF70n1i8dZEFXxTRywzYIGt5Imzvluwu0I30Eubcy4MqKpeN98M5qvXNjue5wZE+vPrWieYoYDDVNohigz9FZrjhnj7vc7spI8Hun31t31iRnoN1cwtoEF9BSmeFkQemJC831knU73jF2TZ5E47v4mFbBgXLfSqsMaE7Zzh+14rjWBNFHf7VwTntD2VJpQdGRXwswcEyov1n8767UJLuo146+5m9H08Zre6qlmyBMlO/ouMKNyMSaP2GnGxsPR5penzeg6QuYenGFGuMvz6S25ZqhrGa7MfmbGgNVrpP6TTDjZ0Fuvm2ECAyfxJjhKc62n95ow99KmpfOumbCPfu09E3QNgjVSqwmLvr4Mu/jQhIg6O6+vqDQhPmdHy5g6Ziw9tf7MpY5mxHlOuOI4yowsFV3IDKZtdplR1+Iy6XFrE4szJpAmd7aNMCG1WfTmsQtMaLj6emJBhAmJwa1m1VtjQmPmgJug/nN7c/ktE4snJgStyrpkn/Nv/Rf9XWWz3Mg6zlszzg8wQ09OvasnqQOTYCN63T77MU1jRNiBdlLuGyMKpLfvpzQzIXbDHOm8ASYQEChePNuEqQFN1rbfbkK/Ue/SI3eY8HZojYyAMya0CFjcJe6yCbOOPnI7ss+EnD5bRkzYY0LVyOGzLKkm0O6WiExg2sHFyJ5zI6bK01MmDjPiTqdhAb1mGfFs2JgWfWKN+PGgjduJy0ZMZwDKCKY8j4zwoB97Z0TDA4dDSlqZMNjrnTpoognDN9xdrZpJ4pn1OnrGBBNo1MtmmfBfkEv10BcGvBnTu9r9t+H/6z99+GTwA3cjAr4cmBJN4mh7vTrqhKcRefTlAUbceLLuIn8iyQOF6Wgj5p5dMKxqkxH5o9Myt5B8ySi8qIxgXv5qhEsbj5sWLxPbtwbci17n7UMeCShafkUakKSo7Do7yYCwPXWPBvANmJvnSRDAgC09Y0p3/DCABEsyZ0TZk/Yfp/YwwvVHF970SUbor0U10M014lV5+/srQ40Y0viD5fFyI2zlg3mDlhpBu/VeDQMiDr3fgn4GtNlCkdGADsruRbrBBiReuXNEPskAkkztx+UGxAvvrCtIMMDcjnaGAX2EXRrXzzaw88eABcfTi1zzDSz+GRHsO726pA9Zh0yvS6RO5AlBUD28h9Cd6OHKLKBH0i+5LOqjHkG/WkXlNTUg7RAFSgN+n1du2WhngENaHc8fjgZ2PhiQ3Dn1QsF4Ax5RmFlkAD0NHmv/xZfX0mH5wOMG3PCkJ1ePnqcsE+1H6xH98dnhFxP1KBzvenltsB7h/XWdOi7WI8WFBqJHES2fUo/RbjTDeoyh5SrRIyIzZ8z4V3pMEx3a+LKxAZ8rxpERROpSXFCxGAYcXERXMGD0+iaDppTqQLu68KMODL1w1IMMVc7Dlno4/OEebttaD/IhkYbEVfNUvdbn5pL3Y6LfGkgcn3u3/Hz2hJ7FOz0oykwV6VErpkPg4Uw9uB9eZzTi68FbOyBwrU6PC4S1DF6kw6HTz+y3bNWx50eHlrlc05vbOgzrM5qESJ6TKhfV1OPJx6Bmpc56rCfd2bGXHvYTaCfrMTlsmbvOT4+OF3uVTJ5N1qXjf5ketCvdNuvBlPmKHr4dx22O89Shan7XLo+n6kBPhyJWB8OAgsIT53TomXvqdds0HTrvv+d79ZQOTNgnddi0ik5iHYtrOgzZujLn/G8dxiZkJbjV1YN2cfJAPTzTV57MCdfjDkGPaLLuQ3qMtVp896IDTYs/n+dmez/TIidyTOGCN1owx6ORjj0/Orw6vXzFhEAdlmguvSlbqMOxXIeIDst0oKe3aq0Ol8mrq47qQMCx04csHRqRKdpfp8Okr3aEYukw3LqIMCYt9nTaRKBfi5kLBxUH7tdiGgN8WrxrU+t2nlCL0kiKuFpseWCID32rxZvPm0//KdNC7bONUDodQLJysKcOh9Fqw4chOnxsHUqolQ4NGIDRYXOzzNHPNumQRo9XuQad2wX1f+WoRYdlGzal9tRiGUPktGDaM0zLnlctYm93C9lwXIsdAzf9KrqixeCl3DkRmVokaeng0KJo9d4DL8u1eI2UYgnJy1+ep8OIy4N2n+2mw4K7B6523q3BJkXTxl1Pa/AmvJmx1w0NklIbzwkq1kBJop5XUwsmnW5aRDIDT4sIwgYywrXoljxrZsM9WsRstKu6l/EvjtlrCru1vU7ifDCtzJPkJ3KXtPPSXC3qn5DdEG7U4NiOFZ5L9mkQOOhXvxmXNeAe70smgIbFMw1kZecG98zVgKFXbzV44lc24eIXDX4mD5zTwlmLx0nNDoU110LTYkebo320aLKp/7WhIVoYvFVZvVdoUSYbSDpTC7fsPUd+ttXAi46PThoWRzUsXmiwrHPxsqgFGky/MeFb6lYN+lYEkkmngR9hAyeEGjC0SKBBU8Xl/R0favCbwtIzDda+ujO48QfyvR6HS8ObaXHNSjeqRbGSCgM1UuMqtzX6osaIFTtbf/quRsWVDs01LTT4tPzHnfbdyD7IKb3grUFLUWmPMf9pUHVXGXqknwauZFpvCdOAvvsnRoOdZPqmp2hwbm43YxOtBg+j7v/U5GmwNFzhWUny4Xsza3zwSjVONh1b4b1XjZVN42SGi2p8Xfv0jFOqGhcX33kbla2GagstkBplk3jtEt6pWR6pQYt+J3Y+66iBzzg6kTT4UpMyYA1qU7oyh8RL4YHUa85yygg0MF4cSSijCjSb5ERAPSR5aLSfGg7P7mmclqrBjNGDaryv/JD09aoas05+Gv9bpAYhNbUTlWo0n7x18vscNV4fogdBjS90DNXVgLKHJ6Q+hBSTVvhXp5dUPhSrwMDtexXLD1VYe6RV7WmN1Gif8I7sSI3WE5SfnLzUoKucDFWjDunOpTFqnJ/R9MKVZFIPUm3Xy2pwKI3NUON7XGxJEYnH62T3Vsdy1RA6dkNGlRqP1o8kVF+F1K/7bw65o8K3KS9ST6tUOLT1p+8qiwrzJaIaP0tVeNZ149oDdmoURtRYGVtbDV/T8Zbz2qtZPqTGqxH0G9Ug4Dm1ao4a9DR/XKNm+bQap07SPzXaZLU4X3MeWWeVfnVatArM2D6iAkcyJsLIV+HK1qLgFIUK7S/da6si69dhgEyFrfv4Sx1IHpII2zherUIjSR+yEzXWMIRHjY03Z5LMqzGRIaJqjGMAR435DJFW4jmZDq3cVSwfVMHpam5Z7LR/cRTdWj5pUZyKxWvy/v4PbuuuqKBJqOU+Q6ZCv251nsy9r4IHlVUFKjyaGdrp7isVhtaRbbBvqEYfZgCrWVxQYs73ntY4oRIM3AiUaLvmPyJxlPiQVUGYtRIMXFQrWZ6owqVtOxKb91NhOkMQ/sXlujNpd7dDKti2puxucE2Fx3+OHeucqsK9OlRoqPCjnDawEpX8x3t/hysxlRHwSlCWlnhFiYl8hXC2SomZo6c6j3iiBENrypWImO3T5HAd0mfdf2bW+0PiLRxVa0N9FXq3qaev2VmF+gvq+zUap8JBCjsrVVgX3M8vN0aFPX7zXtk6KPGkk33sMX8lJu3e7p8+WQlGHpD17eRtyGhTonSXE0EQJTzm/Pd90WklCBl5fvW2EvRZ6xwlq4eVmPygNhk9Kkw4MIhAiBLSz1R4qdCKGVwqtKRwl6NAggcdEAqk+75cxLNTwkbU4ujWSojbPrv7dKQS+x5OIt+kxM+NUw45LlCiahgVukpEpqSWr4tX4g2lIWeVcKJykKNk56gScZdfPhhor4J/m3fP+7uqEEzb66ACq4a712x0UYHGd2v6T+MqQFGsg1KBPXNHZRXeV6CWw972Cz4oWN2oREnbtNIxvZWopjIiSIkwBuiVkNHyRitxaw1lmErcJyzEYa8SFm32xflnlAicThWzAj2YDStQ2YQ2ngLd3jckHa6AA5M4BSRFv0nEClD03qRQgKrhpo8VcG3ZKH4hyUe0X4zxDFl/Zqz7tVlDlOC95E3xna4EreKJJUoMpbAVo4QnY4QoUCNzoXaUmwL+hsCrMb4KVpcqMJvS/2UKUJWQGK8Ac8zPKkDVqcdNBY4fbEwmD9l3O3pAFaBdNOGpArQrCr4rQEQeUehKxFO48VAiZJ7u7TSrHJ1dBtbf/FiOtgyRloOhkfYKzNpCnQcFGDjzUIBZfqgC3LuuTb9OJ3m30UZXwLBnHYFSBZg22aYAAdXPJ2L/xWMvDCu4ZFKweCfHVAbY5GjMEGY5qLp6+UAOhq6UyNl5JWfxWMHOBwU7rxSIPuHpKSNxNKftv1ABmUNCPR+Sj5rn24+ql6RAVhBVogq8cKETVI758Z8iXuyWI4AxsOTY9mjIxunpcnRiCIAc57ILevfNk2PBh5nDh5bK0ZsBSjkoixzzXY7S80/nj2z4Lw/XCGo0HqYADnUZmzdBgUXMn4Ll0WRfI2OHHupC9kOPzxg5q8vleDOPKgY5GJROIvlmiKYcwZO7XNhzSw4CblvumOWsPpdDEEcNMDnqnlz4smeZHIRUm1fVUrD+hYLFXRlqMsRbDpoti4scjjQd3eXY0NWxYs9gOaQxbX0Wj5BjJWE5DyfJ2Tktx+XDvnYB8XLsuV/0tP4ROeur/MvL3zn5rz/+6l0ZOw9kYOhdjgzFrvnd5c9lsIXRgSTDl3XUEZCz+kYObwbg5BiRPvlO3ZlydF852qfXBjmY476N5InagMflrG8iZ3UOyRf3Zq2SfTLUJ+qp5ikZJp/24RdflGEtI7hlYGw5iwyuSzJEbZ/J8LM095i1XIarp9yIdJdDG9GWSHo5KDu50kGOp/HDa7cZLseF32OcXKbJ8f6kh11kpBzHE79NNG0i+bCnyl7G+gEyULYUFi+Du3l637NnZSzOy1i9LwN1HYc9kmEDHdNlMtCoG36TgZH9zv/qQdGn2l3OzkM5GPgaJwdV9VscZTBtG0NKJMNmr6PO77vL8IZuY7AMSfuHiTJDZawvIUPsrPVfgnfJcGLJz5BpJB8dgjMe1bohQ8J6/u6PKhkYe+eeDNR18iPxkENKjqgchPQShSRn/U8pLFcpQZTCSSvg7beXYSJRg0HNZPgdQAe0DPcJe/rcTQYDpXsTSb3p8Vgiw/evLgTRZOiu+X46aLcM56mteEWGKR0o8spYn1nGzmMZO/+krK8gBRlCxc3lUohfNGurfyUFZceX7WSs/yvDnrc3Ym+Qx2BKc9xkYGCW5OOvvypjfSoZzG9un8jfIgMR7ed1R2SsXpKhJ2NcS7AkxP1VlwcSfNG1bzD4qwR7dbf2DvCWwpsR8lI0J6sjRYqujBH7Lx6iwa9FNZBhKCMYZH9lJskHSTqZiDLWf5GxPEAG50V04kswW3+AVEoCRqa9lKBQcDrNlzySpJEJR+JhAFqKL9cGEskrBWMfxkpZH1UKIhb9W+ZK8dFn5Og136XsvJex/ONfPv76mGSdQc3q/BghwdkKCZnIEmjzzhFmKQGZ2fWe3ZMgsF2LyIAvElaXSFmfV4oUOk4XSjH27PbOip1S7FxzaU7CUSn42vu7eqdL8dcYkKL42+P/xtck/e9W18N0V8zyYzH8GINTAobWj5SAsU9CJSzuS1g/V4IdVKZxJYjKa1ruZ5WghNriRRI4tVtOKKaU9b2l+NOIAqUUW2vQk03yM+Nc3fWLxWBs0AgxJI9eayrixeg7vmZu7m0xjOOOTLa9F7N+rYT1NST4TK8jdkvYOSjBsfDdC+YUSnBb8IAoFAmrX8k6vu3+C3KR4tiYS8cn9ZSCiG4iTMQsTxazOCXGRQpL4WKMHkKVqRjU9eWnihFFaVQxiY8hZpL/x5G6iDIRCZSEza2fL4H/jSVE6kqQG+6V9Z0nAVPuEgmGdqAOsgiz6TEuFKGjxPnO3AZiMLSgi5jVL2LMZQydf3n4q2PEGM9cLIhx3SDpsaNaDMGicnP/ARKMzP9UMW6GBIQMCMrJY5dF4laGPRIw1yGLRIiiZT4vgg+1QW6JWD9XhM9kKmZ/E7H4KGZ9UzE48Vtsd2aI0eTmu5ZlO0n9qV1/TozatakzLgYhz3fWFYixmTF6JXAf/Nhnfi/Sl/bUIRSxOCYCs6uVIjSxP7e58XERbq7fJgq5Qd7/qt38wCBi9YOI9XFF2GgaFv7rpwgfhtADKEY9hjD9q4N5LUV6MWIyOfO3PRIjlDGUhXCnbfpbCJ/mGX04Tcj+KJx7ibCXXvvMF0FPj3+SCF9Nh2v0yxaBZ6IAIkLcBO81LarI54gq31tTDEb+tiD7E+8af2CQGAfFlNiRurhRhijGo3fUwBSyvFGIJnOCir3ThAgc5hymzBGy+kEIu11BpCVEWP9t6e1RQ0QoW0INBxE8KC1PFKHB342gWYenTa7milhfTsTqNzGS3Q+sXd1ajBs/ZhOlK8ACxhARIjGQ3twJ4VXvepuZC4U4850ayUJEbGxXeDZbyPoaQoQciwmpXS1EKZV3vUSgaHBgCsmvfcPfzrNFYJ5Gi0DIe9XN6yQ/R1KWdi4WoWoTLYwAIxiDTgBC9jIbNhdiVb2pkVXDhCCi/lXyNCEOLvVX+2wj8Xi3Xnj4kJC9rxLir40pBN3lshLh//uhsoBeyJF87/zj0HuaCMYCp4n154qwoi+96RCADItWNy4L2PtKAeJaxpDWEIA5th8FuONHGYgQv1Mep73wErK6hqz3ru/9yRuF8J3Twvl0khA/abpuC1k/XQh6K+D3WQjON3pRJwIpUo9wFwH+o9vwF7D8VYAy0uXLEwUoLaKGiQBTbO899t8TgLEdHYT/z79pznhd3SFCkKa5qwwVYsaTtwPfxAhZHSVER+/rz/eb/q3LjKUKPsujBax/LUA1yULuPAHLkwWYQdhFgwMC/Cq6gp+HBFgTpJhQIBXg2+4TTcdWCFi/S4jNu0eRThEig9KLMCEWMoNCCAW1gQ6TfZOs/8zgYw1z4cbHVX9q+PBZf1oAp18rPQb1F0DRt0F7pykC3BxOBYaA9aMFrJ4RsH4XiZPSnBqknxgCIQRlPxs6CkG+7P6+kUIcD14+QD6Aj7T2uSMdw/lg6F0sH6YPeuXwG3wMZ4QHHwM/HG30sJrP3oP9y0Mtot42TRSgDmNwkr6j13cnBdh/fAUZMQKEp44lEChAhpwGTOJILu15px4f/QdNjilpyUdN4anB4f34WJcanlI0hY9a5pLC95v4eLfi3NuDp/lwYwjYvzz81RECELGZl+/xrw/GMYSKvP6eU9+8VoBZRAU8uk7q/+LH+pjXPExXtz45+g8PSxghy0eJNnRmbhc+xuNZ2UNvPqa2/OStHMVHJCNs+bietEsiPMZnfXI+9mTTBuQji8LQLz5eva9HKiJg7zEE8Jwk7ndrqgBjy2cX74rjwUG53SMki4fSpcnGUSU8lufzsPnxs5t6Vz4cvWjm+RBHdfWfOoEP1bE760fN4iPaEri6zQZShz9+nfwPkLzXp/+Dz/qAfEz8sJ4oAj6cu1AGQdZfTZ1VHqZejJ3eP4qHrB8dG9RK5kHauK7DJAkPp69uXhj1gMfyah5u7d9w+7QLH+HXjN3svPhwR2v+inEkvw9CQupE8uHFEAA+KMpcT+fjTBo1BPioupfR4/wrPp5eEP/YUMpFWsmT6UGteEhMeVK6YCgPNRihxmP5JQ/5FRcuNLvBw7pE2fRiGQ/xFy5P7fWGh0eOp5Knk/X1HQJEtQbzsbX1fNHrqXzUOOjced8iPto4nr8RF8dHwvsuC7ac4GOfuGXoXS0XG6N40zbnc9HndA1leQkXcYFR5R2ceShY6vdxvzsPfRvPOxQKHka/FB4VLOThaOrDn/vX8ZBmufy8+gAPz0aG+p0i9Whw/cW3i/d5iB0+JKY26Ydj5TMdnnjwETFM7NIvlI8JU2r7iBO5aJkz4atvBheM3ZLDhWnzmSWKKi54NR0rK5x4WLNvYVLQfyS/pHvnkH1T9+XjXh48i5IKPM/zcMnP8dzwTB5CQuc0T1fzYO1d/ONWEQ/zSq6YfRrycWyUqexLKz6Lx1wEZkU2eb2O5HWjtpvvYS6WpE8a432NxJH3bUKVlQsi2nhXy7hYfaPqVktHHuy/hOhmu/AwVnhPu2UYDy0UkT3DlvPQOwT99Uk8fHWr/XJ8OumLSSLD4ys8kMOe80jPA3Pt1JALw0+fUx17cPH8YMOUxAAuzrhGDC1ZwUWleOdT3j4uemd+Pll2nosZzdZNqpBxUdCXk7ejiItslzT3q5+4eLDhTWevejz88P8vMLMbD7/zO+F5CA+VgpHzrq8kedGG9dmWwMOnYpHP5wccMNfCNbj4FMn/z7kBF8IFWQHdXbkorLzfzG4iF153fQf6r+ayfJILe57brOSbXDA/P9BwsSc0a2diIRc77cZnzv9M8tU+Fr9+cbF7sYN3ze48NE9KjHSaxIMXdzM/8AAHocwPTTj4nj/nQoqMg+r1IxLevuYgQ7ybs+AtB85d5zspG3Gxnco2Hy5CrGM/tg7lQpz+5GbNLVwMOfVW/+syF/VtnFNryfo3OwfOCMjjYtmxeat9vnDhJ8i/O5nsv9HEEVLOVg586/nOfHCYg8fpE+vePkceaywbFs/joOvYvAmSRxxk7arK2lHMwdv1YUs55Ry090xR+rci+z9LjQsullZEbr8fxEX/6DsIInUY7HyqU/JRss/Bi+vXu8FF3XfVbV4buYgYsuVk1+Ec9Dw9sFN2EAeTBRWeY8M5qPM7oZ3XJg6cEluta3WEg9SAB0Nu8zl4F0V/SMFhfTUOGJvwIwcN93fZ4dOYi89nT1TO78rFVrVr7zWBXIx381i3fCXpg/Alaa/XcLG3Q8qKxaHZKE0Y1HLUpmzML2x4KftSNlZInJ7cyczGV/eV/B9Z2bD1OLcpRZ6N4Gk5lSPyslFtqSpt+DUbqQVN+U8bcLBXOzJ7d1cONtYeMJkzhoMzLr8jfEjcYX8cT/aI4+Bps2nd09M5+B94HnWVAQAAAACAAAB4PAAAQAwAAA==eJw92juo32cBxvGIKbbFeLdeqlZaJRFbMaIVU7TBhLZgvBSsaMCILRqxEStaMKLhXDzX/+HcD+d+OFXI0AxRWzFqI0aoQ4Z26KBDhnbIkA4ZdOhgB/Pl4fv8pu/4GX/v+z5Hv/K7w0/c8YbDe258h3/0+/Z9M39o33vumfbBy8+27772x/b+m//UvnP/hfYHH/hz+73f+0v7Xb/+a/utv32ufes/LrZveuVv7T17/t4+esP88Ik31mxjtjHbmG3MNmYbs43ZxmxjtjHbmG3MNmYb88Htm2q2MduYbcw2ZhuzjdnGbGO2MduYbcw2ZhuzjfkdV95Us43ZxmxjtjHbmG3MNmYbs43ZxmxjtjHbmG3M/33/rTXbmG3MNmYbs43ZxmxjtjHbmG3MNmYbs43ZxvzSt95cs43ZxmxjtjHbmG3MNmYbs43ZxmxjtjHbmG3Mz669pWYbs43ZxmxjtjHbmG3MNmYbs43ZxmxjtjHbmJf/9baabcw2ZhuzjdnGbGO2MduYbcw2ZhuzjdnGbGN+8rZ31mxjtjHbmG3MNmYbs43ZxmxjtjHbmG3MNmYb8yOPvLtmG7ON2cZsY7Yx25htzDZmG7ON2cZsY7Yx25jvXX5PzTZmG7ON2cZsY7Yx25htzDZmG7ON2cZsY7Yx3/bS+2q2MduYbcw2ZhuzjdnGbGO2MduYbcw2Zhuzjfm1t3+gZhuzjdnGbGO2MduYbcw2ZhuzjdnGbGO2MduY//21D9VsY7Yx25htzDZmG7ON2cZsY7Yx25htzDZmG/OFuQ/XbGO2MduYbcw2ZhuzjdnGbGO2MduYbcw2Zhvz+gt31mxjtjHbmG3MNmYbs43ZxmxjtjHbmG3MNmYb8+l9H63ZxmxjtjHbmG3MNmYbs43ZxmxjtjHbmG3MNubjx/bXbGO2MduYbcw2ZhuzjdnGbGO2MduYbcw2ZhvzocHHarYx25htzDZmG7ON2cZsY7Yx25htzDZmG7ON+fbLH6/ZxmxjtjHbmG3MNmYbs43ZxmxjtjHbmG3MNubXb/5EzTZmG7ON2cZsY7Yx25htzDZmG7ON2cZsY7YxX3nwkzXbmG3MNmYbs43ZxmxjtjHbmG3MNmYbs43Zxnxx/FM125htzDZmG7ON2cZsY7Yx25htzDZmG7ON2ca8/fyna7Yx25htzDZmG7ON2cZsY7Yx25htzDZmG7ON+czez9ZsY7Yx25htzDZmG7ON2cZsY7Yx25htzDZmG/OJI5+r2cZsY7Yx25htzDZmG7ON2cZsY7Yx25htzDbm+0fuq9nGbGO2MduYbcw2ZhuzjdnGbGO2MduYbcw25jsufb5mG7ON2cZsY7Yx25htzDZmG7ON2cZsY7Yx25hvaGu2MduYbcw2ZhuzjdnGbGO2MduYbcw2ZhuzjfmVL3yxZhuzjdnGbGO2MduYbcw2ZhuzjdnGbGO2MduYL/3qaM02ZhuzjdnGbGO2MduYbcw2ZhuzjdnGbGO2Mf/muQdqtjHbmG3MNmYbs43ZxmxjtjHbmG3MNmYbs4155H8P1WxjtjHbmG3MNmYbs43ZxmxjtjHbmG3MNmYb82OHvlSzjdnGbGO2MduYbcw2ZhuzjdnGbGO2MduYbcxHTn+5ZhuzjdnGbGO2MduYbcw2ZhuzjdnGbGO2MduYP3LhqzXbmG3MNmYbs43ZxmxjtjHbmG3MNmYbs43Zxrz3tYdrtjHbmG3MNmYbs43ZxmxjtjHbmG3MNmYbs4356me+XrON2cZsY7Yx25htzDZmG7ON2cZsY7Yx25htzP/82TdqtjHbmG3MNmYbs43ZxmxjtjHbmG3MNmYbs4357DPfrNnGbGO2MduYbcw2ZhuzjdnGbGO2MduYbcw25on/HK/ZxmxjtjHbmG3MNmYbs43ZxmxjtjHbmG3MNuaTB79ds43ZxmxjtjHbmG3MNmYbs43ZxmxjtjHbmG3MDz3xnZptzDZmG7ON2cZsY7Yx25htzDZmG7ON2cZsYz5w/rs125htzDZmG7ON2cZsY7Yx25htzDZmG7ON2cZ8y/XHarYx25htzDZmG7ON2cZsY7Yx25htzDZmG7ON+dW7v1+zjdnGbGO2MduYbcw2ZhuzjdnGbGO2MduYbcyXH/9BzTZmG7ON2cZsY7Yx25htzDZmG7ON2cZsY7Yxn3v6hzXbmG3MNmYbs43ZxmxjtjHbmG3MNmYbs43Zxjy4dqpmG7ON2cZsY7Yx25htzDZmG7ON2cZsY7Yx25hPHfhxzTZmG7ON2cZsY7Yx25htzDZmG7ON2cZsY7YxHzv5k5ptzDZmG7ON2cZsY7Yx25htzDZmG7ON2cZsY77n7E9rtjHbmG3MNmYbs43ZxmxjtjHbmG3MNmYbs41539Una7Yx25htzDZmG7ON2cZsY7Yx25htzDZmG7ON+fpdP6/ZxmxjtjHbmG3MNmYbs43ZxmxjtjHbmG3MNuYXH/1FzTZmG7ON2cZsY7Yx25htzDZmG7ON2cZsY7Yxn3/qlzXbmG3MNmYbs43ZxmxjtjHbmG3MNmYbs43Zxjz/8pmabcw2ZhuzjdnGbGO2MduYbcw2ZhuzjdnGbOfteKhmO2/HQzXbeTseqtnO2/FQzXbejodqtvN2PFSznbfjoZrtvB0P1Xzg/HDNdv5Fh2u28y86XLOdf9Hhmu38iw7XbOdfdLhmO/+iwzXb+Rcdrnn9hZGa7bx3j9Rs5717pGY7790jNdt57x6p2c5790jNdt67R2q28949UvMt10drtvP/PFqznf/n0Zrt/D+P1mzn/3m0Zjv/z6M12/l/Hq3Zzv/zaM2n943VbOeNfqxmO2/0YzXbeaMfq9nOG/1YzXbe6MdqtvNGP1aznTf6sZpfvXu8Zjv//OM12/nnH6/Zzj//eM12/vnHa7bzzz9es51//vGa7fzzj9d8/NhEzXZ2BRM129kVTNRsZ1cwUbOdXcFEzXZ2BRM129kVTNRsZ1cwUfPlxydrtnNOmazZzjllsmY755TJmu2cUyZrtnNOmazZzjllsmY755TJmg8Npmq2s4WYqtnOFmKqZjtbiKma7Wwhpmq2s4WYqtnOFmKqZjtbiKmazz09XbOds9V0zXbOVtM12zlbTdds52w1XbOds9V0zXbOVtM12zlbTdd8++VBzXb2G4Oa7ew3BjXb2W8Maraz3xjUbGe/MajZzn5jULOd/cag5sG1mZrtnAdnarZzHpyp2c55cKZmO+fBmZrtnAdnarZzHpyp2c55cKbm12+erdnO5mS2Zjubk9ma7WxOZmu2szmZrdnO5mS2Zjubk9ma7WxOZms+dWCuZjtn2Lma7Zxh52q2c4adq9nOGXauZjtn2Lma7Zxh52q2c4adq/nKg/M129nJzNdsZyczX7Odncx8zXZ2MvM129nJzNdsZyczX7Odncx8zcdOLtRs59y9ULOdc/dCzXbO3Qs12zl3L9Rs59y9ULOdc/dCzXbO3Qs1XxxfrNnOtmexZjvbnsWa7Wx7Fmu2s+1ZrNnOtmexZjvbnsWa7Wx7Fmu+5+xSzXbuCpZqtnNXsFSznbuCpZrt3BUs1WznrmCpZjt3BUs127krWKp5+/nlmu3skZZrtrNHWq7Zzh5puWY7e6Tlmu3skZZrtrNHWq7Zzh5pueZ9V1dqtnO/sVKznfuNlZrt3G+s1GznfmOlZjv3Gys127nfWKnZzv3GSs1n9q7WbGdDtVqznQ3Vas12NlSrNdvZUK3WbGdDtVqznQ3Vas12NlSrNV+/a61mO3cyazXbuZNZq9nOncxazXbuZNZqtnMns1aznTuZtZrt3Mms1XziyHrNdnZf6zXb2X2t12xn97Ves53d13rNdnZf6zXb2X2t12xn97Ve84uPbtRs5x5po2Y790gbNdu5R9qo2c490kbNdu6RNmq2c4+0UbOde6SNmu8f2azZzlZts2Y7W7XNmu1s1TZrtrNV26zZzlZts2Y7W7XNmu1s1TZrPv/UVs127r62arZz97VVs527r62a7dx9bdVs5+5rq2Y7d19bNdu5+9qq+Y5L2zXb2ddt12xnX7dds5193XbNdvZ12zXb2ddt12xnX7dds5193XbN8y/v1Gznvm6nZjv3dTs127mv26nZzn3dTs127ut2arZzX7dTs537up2a9+zZrdnOJnC3ZjubwN2a7WwCd2u2swncrdnOJnC3ZjubwN2a7WwC0/8H6tf1oA==AgAAAACAAADAFAAADBMAAD8DAAA=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AQAAAACAAAAwJQAAUgYAAA==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AQAAAACAAACmBAAAEgAAAA==eJzj5BwFo2AUjILBDABboinX
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_1_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_2_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_300000.pvtu
ADDED
|
@@ -0,0 +1,29 @@
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|
| 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 |
+
<Piece Source="Lambda_4_300000.vtu"/>
|
| 21 |
+
<Piece Source="Lambda_5_300000.vtu"/>
|
| 22 |
+
<Piece Source="Lambda_6_300000.vtu"/>
|
| 23 |
+
<Piece Source="Lambda_7_300000.vtu"/>
|
| 24 |
+
<Piece Source="Lambda_8_300000.vtu"/>
|
| 25 |
+
<Piece Source="Lambda_9_300000.vtu"/>
|
| 26 |
+
<Piece Source="Lambda_10_300000.vtu"/>
|
| 27 |
+
<Piece Source="Lambda_11_300000.vtu"/>
|
| 28 |
+
</PUnstructuredGrid>
|
| 29 |
+
</VTKFile>
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_3_300000.vtu
ADDED
|
@@ -0,0 +1,27 @@
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| 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="1515" NumberOfCells="1400" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="301" RangeMax="31400" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="5.5271" RangeMax="5.9825" offset="2912" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.9825" RangeMax="-1.5088" offset="3204" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0029309" RangeMax="0.010444" offset="4208" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.083663" RangeMax="0.29812" offset="17944" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.7077969074" RangeMax="7.8102496759" offset="29404" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="34496" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="43452" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="46000" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
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AQAAAACAAADAKwAAfyEAAA==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AQAAAACAAAAERwAA2A4AAA==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AgAAAACAAAAALwAADBMAABsHAAA=eJxd3Vf4vwP9x3HfYe+999577733rJAKIVKpFBUNexZFUYmyRxENinZ2RamMiEILkTJ//4P//Tj4PD8n7+t6Xc+zx+F9fe57qqn+/zc23NmGO2v28eHOns4+Mdw50tknhztnOvvUw50rnX2a4c6dzj7tcOdJZ59uuPOms08/3PnS2WcY7vzp7DMOd4F09pmGu2A6+8zDXSidfZbhLpyOE49Fh7tIdh6LpbPzWDydnccS6ew8lkxn57FUOjuPpdPZeSyTzs5j2XR2Hsuls/NYPp2dxwrp7DxWTGfntlI6TjxWGe7K2Rcb7qrp7DxWS2fnsXo6O4810tl5rJnOzmOtdHYea6ez81gnnZ3HuunsPNZLZ+exfjo7jw3S2bltmI4Tj42Hu1F2Hpuks/PYNJ2dx2bp7Dw2T2fnsUU6O48t09l5bJXOzmPrdHYe26Sz89g2nZ3HdunsPLZPZ+e2QzpOPHYa7o7Zeeyczs5jl3T2zYa7azo7j93S2Xnsns7OY490dh57prPz2Cudncfe6ew89kln57FvOjuP/dLZub0lHScebxvuW7Pz2D+dnccB6ew8Dkxn5/H2dHYeB6Wz83hHOjuPd6az83hXOjuPg9PZeRySzs7j0HR2Hu9OZ+d2WDpOPI4Y7uHZebwnnZ3HkensPI5KZ+fx3nT2g4Z7dDo7j/els/N4fzo7jw+ks/M4Jp2dxwfT2Xl8KJ2dx4fT2bkdm44Tj48O9yPZeRyXzs7j+HR2Hh9LZ+fx8XR2Hp9IZ+dxQjo7jxPT2Xl8Mp2dx6fS2Xl8Op2dx2fS2XmclM7O7eR0nHicOtxTsvM4LZ2dx+np7DzOSGfncWY6O4+z0tl5nJ3OfuJwz0ln53FuOjuPz6az8/hcOjuP89LZeZyfzs7t8+k48bhguF/IzuPCdHYeX0xn5/GldHYeF6Wz87g4nZ3Hl9PZeXwlnZ3HV9PZeVySzs7ja+nsPC5NZ+dxWTo7t6+n48Tj8uF+IzuPK9LZeVyZzs7jqnR2Hlens/O4Jp2dx7Xp7DyuS2fncX06+yXDvSGdncc309l5fCudnceN6ezcbkrHicfNw/12dh63pLPz+E46O4/vprPz+F46O4/vp7PzuDWdncdt6ew8fpDOzuOH6ew8bk9n53FHOjuPH6Wzc/txOk48fjrcn2Tn8bN0dh4/T2fn8Yt0dh6/TGfncWc6O4+70tl53J3OzuOedHYe96az87gvnf2O4d6fzs7jV+ns3H6djhOPB4b7m+w8Hkxn5/HbdHYev0tn5/FQOjuP36ez8/hDOjuPP6az83g4nZ3HI+nsPB5NZ+fxWDo7jz+ls3N7PB0nHn8e7hPZeTyZzs7jqXR2Hn9JZ+fx13R2Hk+ns/N4Jp2dx7Pp7Dz+ls7O4+/p7Dz+kc7O45/p7Dz+lc7++HCfS8eJxwvDfT47j3+ns/N4MZ2dx0vp7Dz+k87O4+V0dh7/TWfn8b90dh6vpLPzeDWdncdr6ew8Xk9n5/FGOju3N9Nx4uGB35TsPMbGRjs7j/Gx0c7OY2JstLPzmBwb7ew8ph4b7ew8phkb7ew8ph0b7ew8phsb7ew8ph8b7ew8Zhgb7ew8Zhwb7ew8Zhob7ezcZh4b7TjxmHW4s8SJx2zpxuIxe7rxeMyRzs5jznR2HnOls/OYO52dxzzp7DzmTWfnMV86O4/509l5LJDOzmPBdHZuC6XjxGOR4S6cncei6ew8Fktn57F4OjuPJdLZeSyZzs5jqXR2Hkuns/NYJp2dx7Lp7DyWS2fnsXw6O48V0tm5rZiOE4+Vh7tSdh6rpLPzWDWdncdq6ew8Vk9n57FGOjuPNdPZeayVzs5j7XR2Huuks/NYN52dx3rp7DzWT2fntkE6Tjw2Gu6G2XlsnM7OY5N0dh6bprPz2Cydncfm6ew8tkhn57FlOjuPrdLZeWydzs5jm3R2Htums/PYLp2d2/bpOPHYcbg7ZOexUzo7j53T2Xnsks7OY9d0dh67pbPz2D2dncce6ew89kxn57FXOjuPvdPZeeyTzs5j33R2bvul48TjrcN9S3Yeb0tn57F/OjuPA9LZeRyYzs7j7ensPA5KZ+fxjnR2Hu9MZ+fxrnR2Hgens/M4JJ2dx6Hp7NzenY4Tj8OHe1h2Hkeks/N4Tzo7jyPT2Xkclc7O473p7DyOTmfn8b50dh7vT2fn8YF0dh7HpLPz+GA6O48PpbNz+3A6Tjw+Mtxjs/P4aDo7j+PS2Xkcn87O42Pp7Dw+ns7O4xPp7DxOSGfncWI6O49PprPz+FQ6O49Pp7Pz+Ew6O7eT0nHiccpwT87O49R0dh6npbPzOD2dnccZ6ew8zkxn53FWOjuPs9PZeZyTzs7j3HR2Hp9NZ+fxuXR2Huels3M7Px0nHl8Y7uez87ggnZ3HhensPL6Yzs7jS+nsPC5KZ+dxcTo7jy+ns/P4Sjo7j6+ms/O4JJ2dx9fS2Xlcms7O7bJ0nHh8Y7hfz87j8nR2Hleks/O4Mp2dx1Xp7DyuTmfncU06O49r09l5XJfOzuP6dHYeN6Sz8/hmOjuPb6Wzc7sxHSce3x7uTdl53JzOzuOWdHYe30ln5/HddHYe30tn5/H9dHYet6az87gtnZ3HD9LZefwwnZ3H7ensPO5IZ+f2o3ScePxkuD/OzuOn6ew8fpbOzuPn6ew8fpHOzuOX6ew87kxn53FXOjuPu9PZedyTzs7j3nR2Hvels/O4P52d26/SceLxm+H+OjuPB9LZeTyYzs7jt+nsPH6Xzs7joXR2Hr9PZ+fxh3R2Hn9MZ+fxcDo7j0fS2Xk8ms7O47F0dm5/SseJxxPDfTw7jz+ns/N4Mp2dx1Pp7Dz+ks7O46/p7DyeTmfn8Uw6O49n09l5/C2dncff09l5/COdncc/09m5/SsdJx7PD/e57DxeSGfn8e90dh4vprPzeCmdncd/0tl5vJzOzuO/6ew8/pfOzuOVdHYer6az83gtnZ3H6+ns3N5Ix4nHlOG+mZ2HP2xOyc5jbHy0s/MYHx/t7Dwmxkc7O4/J8dHOzmPq8dHOzmOa8dHOzmPa8dHOzmO68dHOzmP68dHu1XjMMD7avRaPGcdHu9fjNtP4aPdm3GYZ9pnjxGPW8dFuqnjMlm4sHrOnG4/HHOnsPOZMZ+cxVzo7j7nT2XnMk87OY950dh7zpbPzmD+dnccC6ezcFkzHicfCw10oO49F0tl5LJrOzmOxdHYei6ez81ginZ3HkunsPJZKZ+exdDo7j2XS2Xksm87OY7l0dh7Lp7NzWyEdJx4rDXfF7DxWTmfnsUo6O49V09l5rJbOzmP1dHYea6Sz81gznZ3HWunsPNZOZ+exTjo7j3XT2Xmsl87Obf10nHhsONwNsvPYKJ2dx8bp7Dw2SWfnsWk6O4/N0tl5bJ7OzmOLdHYeW6az89gqnZ3H1unsPLZJZ+exbTo7t+3SceKxw3C3z85jx3R2Hjuls/PYOZ2dxy7p7Dx2TWfnsVs6O4/d09l57JHOzmPPdHYee6Wz89g7nZ3HPuns3PZNx4nHW4a7X3Yeb01n5/G2dHYe+6ez8zggnZ3HgensPN6ezs7joHR2Hu9IZ+fxznR2Hu9KZ+dxcDo7j0PS2bkdmo4Tj8OG++7sPA5PZ+dxRDo7j/eks/M4Mp2dx1Hp7Dzem87O4+h0dh7vS2fn8f50dh4fSGfncUw6O48PprNz+1A6TjyOHe6Hs/P4SDo7j4+ms/M4Lp2dx/Hp7Dw+ls7O4+Pp7Dw+kc7O44R0dh4nprPz+GQ6O49PpbPz+HQ6O7fPpOPE4+ThnpSdxynp7DxOTWfncVo6O4/T09l5nJHOzuPMdHYeZ6Wz8zg7nZ3HOensPM5NZ+fx2XR2Hp9LZ+d2XjpOPD4/3POz8/hCOjuPC9LZeVyYzs7ji+nsPL6Uzs7jonR2Hhens/P4cjo7j6+ks/P4ajo7j0vS2Xl8LZ2d26XpOPH4+nAvy87jG+nsPC5PZ+dxRTo7jyvT2Xlclc7O4+p0dh7XpLPzuDadncd16ew8rk9n53FDOjuPb6azc/tWOk48bhrujdl5fDudncfN6ew8bkln5/GddHYe301n5/G9dHYe309n53FrOjuP29LZefwgnZ3HD9PZedyezs7tjnScePx4uD/KzuMn6ew8fprOzuNn6ew8fp7OzuMX6ew8fpnOzuPOdHYed6Wz87g7nZ3HPensPO5NZ+dxXzo7t/vTceLx6+H+KjuP36Sz83ggnZ3Hg+nsPH6bzs7jd+nsPB5KZ+fx+3R2Hn9IZ+fxx3R2Hg+ns/N4JJ2dx6Pp7NweS8eJx+PD/VN2Hk+ks/P4czo7jyfT2Xk8lc7O4y/p7Dz+ms7O4+l0dh7PpLPzeDadncff0tl5/D2dncc/0tm5/TMdJx7PDfdf2Xk8n87O44V0dh7/Tmfn8WI6O4+X0tl5/CedncfL6ew8/pvOzuN/6ew8Xkln5/FqOjuP19LZub2ejhOPN4f7RnYeU9LZeXjh7pTsPMYmRjs7j/GJ0c7OY2JitLPzmJwY7ew8pp4Y7ew8ppkY7ew8pp0Y7ew8ppsY7ew8pp8Y7V6NxwwTo52d24wTo90b8Zh52GeaGN15zDIx2k2J26wTo91U8Zgt3Vg8Zk83Ho850tl5zJnOzmOudHYec6ez85gnnZ3HvOnsPOZLZ+cxfzo7twXSceKx0HAXzM5j4XR2Houks/NYNJ2dx2Lp7DwWT2fnsUQ6O48l09l5LJXOzmPpdHYey6Sz81g2nZ3Hcuns3JZPx4nHisNdITuPldLZeayczs5jlXR2Hqums/NYLZ2dx+rp7DzWSGfnsWY6O4+10tl5rJ3OzmOddHYe66azc1svHSceGwx3/ew8Nkxn57FROjuPjdPZeWySzs5j03R2Hpuls/PYPJ2dxxbp7Dy2TGfnsVU6O4+t09l5bJPOzm3bdJx4bD/c7bLz2CGdnceO6ew8dkpn57FzOjuPXdLZeeyazs5jt3R2Hruns/PYI52dx57p7Dz2SmfnsXc6O7d90nHisd9w983O4y3p7Dzems7O423p7Dz2T2fncUA6O48D09l5vD2dncdB6ew83pHOzuOd6ew83pXOzuPgdHZuh6TjxOPdwz00O4/D0tl5HJ7OzuOIdHYe70ln53FkOjuPo9LZebw3nZ3H0ensPN6Xzs7j/ensPD6Qzs7jmHR2bh9Mx4nHh4f7oew8jk1n5/GRdHYeH01n53FcOjuP49PZeXwsnZ3Hx9PZeXwinZ3HCensPE5MZ+fxyXR2Hp9KZ+f26XSceJw03M9k53FyOjuPU9LZeZyazs7jtHR2Hqens/M4I52dx5np7DzOSmfncXY6O49z0tl5nJvOzuOz6ezcPpeOE4/zh3tedh6fT2fn8YV0dh4XpLPzuDCdnccX09l5fCmdncdF6ew8Lk5n5/HldHYeX0ln5/HVdHYel6Szc/taOk48Lhvupdl5fD2dncc30tl5XJ7OzuOKdHYeV6az87gqnZ3H1ensPK5JZ+dxbTo7j+vS2Xlcn87O44Z0dm7fTMeJx43D/VZ2Hjels/P4djo7j5vT2Xncks7O4zvp7Dy+m87O43vp7Dy+n87O49Z0dh63pbPz+EE6O48fprNzuz0dJx4/Gu4d2Xn8OJ2dx0/S2Xn8NJ2dx8/S2Xn8PJ2dxy/S2Xn8Mp2dx53p7DzuSmfncXc6O4970tl53JvOzu2+dJx4/Gq492fn8et0dh6/SWfn8UA6O48H09l5/Dadncfv0tl5PJTOzuP36ew8/pDOzuOP6ew8Hk5n5/FIOju3R9Nx4vGn4T6Wncfj6ew8nkhn5/HndHYeT6az83gqnZ3HX9LZefw1nZ3H0+nsPJ5JZ+fxbDo7j7+ls/P4ezo7t3+k48TjX8P9Z3Yez6Wz83g+nZ3HC+nsPP6dzs7jxXR2Hi+ls/P4Tzo7j5fT2Xn8N52dx//S2Xm8ks7O49V0dm6vpePE443hvp6dx5vp7DympLPz8MHUKdl5jE2OdnYe45OjnZ3HxORoZ+cxOTna2XlMPTna2XlMMzna2XlMOzna2XlMNzna2XlMPzna2bnNMDnavR6PmYZ9xsnRncfMk6Pdm3GbZXK0mxK3WSdHu6niMVu6sXjMnm48HnOks/OYM52dx1zp7DzmTmfnMU86O49509l5zJfOzm3+dJx4LDjcBbLzWCidncfC6ew8Fkln57FoOjuPxdLZeSyezs5jiXR2Hkums/NYKp2dx9Lp7DyWSWfnsWw6O7fl0nHiscJwl8/OY8V0dh4rpbPzWDmdnccq6ew8Vk1n57FaOjuP1dPZeayRzs5jzXR2Hmuls/NYO52dxzrp7NzWTceJx/rDXS87jw3S2XlsmM7OY6N0dh4bp7Pz2CSdncem6ew8Nktn57F5OjuPLdLZeWyZzs5jq3R2Hluns3PbJh0nHtsNd9vsPLZPZ+exQzo7jx3T2XnslM7OY+d0dh67pLPz2DWdncdu6ew8dk9n57FHOjuPPdPZeeyVzs5t73SceOw73H2y89gv3f8BYN+0snicXdFVELYFFUbRH+RTsUVRsRODsFAwsZXu7u7u7u7u7u7u7u7uVDDARGKGedfFt8/NmXlm362ZJpnw7s08/IWGv2D2WYa/cDr7rMNfJJ19tuEvms4++/AXS2efY/iLp7PPOfwl0tnnGv6S6exzD3+pdPZ5hr90Ovu8w18mnX2+4S+bbv7hLzD85Ye/XHYeK6Sz81gxnZ3HSunsPFZOZ+exSjo7j1XT2Xmsls7OY/V0dh5rpLPzWDOdncda6ew81k5n57ZOOk481hv+utl5rJ/OzmODdHYeG6az89gonZ3HxunsPDZJZ+exaTo7j83S2Xlsns7OY4t0dh5bprPz2CqdndvW6Tjx2Hb422TnsV06O4/t09l57JDOzmPHdHYeO6Wz89g5nZ3HLunsPHZNZ+exWzo7j93T2Xnskc7OY890dm57pePEY5/h752dx77p7Dz2S2fnsX86O48D0tl5HJjOzuOgdHYeB6ez8zgknZ3HoensPA5LZ+dxeDo7jyPS2bkdmY4Tj6OHf1R2Hseks/M4Np2dx3Hp7DyOT2fncUI6O48T09l5nJTOzuPkdHYep6Sz8zg1nZ3HaensPE5PZ+d2RjpOPM4a/pnZeZydzs7jnHR2Huems/M4L52dx/np7DwuSGfncWE6O4+L0tl5XJzOzuOSdHYel6az87gsnZ3b5ek48bhy+Fdk53FVOjuPq9PZeVyTzs7j2nR2Htels/O4Pp2dxw3p7DxuTGfncVM6O4+b09l53JLOzuPWdHZut6XjxOOO4d+enced6ew87kpn53F3OjuPe9LZedybzs7jvnR2Hvens/N4IJ2dx4Pp7DweSmfn8XA6O49H0tm5PZqOE4/Hh/9Ydh5PpLPzeDKdncdT6ew8nk5n5/FMOjuPZ9PZeTyXzs7j+XR2Hi+ks/N4MZ2dx0vp7DxeTmfn9ud0nHi8Mvy/ZOfxajo7j7+ms/P4Wzo7j7+ns/P4Rzo7j9fS2Xm8ns7O45/p7Dz+lc7O49/p7Dz+k87O47/p7Nz+l44Tj/8P/43sPN5MZ+fxVjo7j7fT2XlMGI13dh4TjcY7O4+JR+Odncd7RuOdnccko/HOzmM0Gu/sPN47Gu/sPN43Gu/sPN4/Gu/s3CYdjXdvxOODw/6B0fjO40Oj8e7NeHx4NN69FbePjMa7t+P20dF4NyEeH0s3UTw+nm7ieEyWzs7jE+nsPD6Zzs5j8nR2Hp9KZ+fx6XR2bp9Jx4nHZ4c/RXYen0tn5/H5dHYeX0hn5/HFdHYeX0pn5/HldHYeX0ln5/HVdHYeX0tn5/H1dHYe30hn5zFlOju3b6bjxOPbw/9Wdh7fSWfnMVU6O4+p09l5TJPOzmPadHYe301n5/G9dHYe309n5/GDdHYeP0xn5zFdOjuPH6Wzc/txOk48Zhj+9Nl5/CSdncdP09l5/CydncfP09l5/CKdnccv09l5zJjOzuNX6ew8fp3OzuM36ew8fpvOzuN36ezcfp+OE48/Dv8P2Xn8KZ2dx0zp7DxmTmfnMUs6O49Z09l5zJbOzmP2dHYec6Sz85gznZ3HXOnsPOZOZ+cxTzo7t3nTceIx//Dny85jgXR2Hgums/NYKJ2dx8Lp7DwWSWfnsWg6O4/F0tl5LJ7OzmOJdHYeS6az81gqnZ3H0uns3JZJx4nHcsNfNjuP5dPZeayQzs5jxXR2Hiuls/NYOZ2dxyrp7DxWTWfnsVo6O4/V09l5rJHOzmPNdHYea6Wzc1s7HSce6w5/new81ktn57F+OjuPDdLZeWyYzs5jo3R2Hhuns/PYJJ2dx6bp7Dw2S2fnsXk6O48t0tl5bJnOzm2rdJx4bDP8rbPz2Dadncd26ew8tk9n57FDOjuPHdPZeeyUzs5j53R2Hruks/PYNZ2dx27p7Dx2T2fnsUc6O7c903Hisffw98rOY590dh77prPz2C+dncf+6ew8Dkhn53FgOjuPg9LZeRyczs7jkHR2Hoems/M4LJ2dx+Hp7NyOSMeJx1HDPzI7j6PT2Xkck87O49h0dh7HpbPzOD6dnccJ6ew8Tkxn53FSOjuPk9PZeZySzs7j1HR2Hqels3M7PR0nHmcO/4zsPM5KZ+dxdjo7j3PS2Xmcm87O47x0dh7np7PzuCCdnceF6ew8Lkpn53FxOjuPS9LZeVyazs7tsnSceFwx/Muz87gynZ3HVensPK5OZ+dxTTo7j2vT2Xlcl87O4/p0dh43pLPzuDGdncdN6ew8bk5n53FLOju3W9Nx4nH78G/LzuOOdHYed6az87grnZ3H3ensPO5JZ+dxbzo7j/vS2Xncn87O44F0dh4PprPzeCidncfD6ezcHknHicdjw380O4/H09l5PJHOzuPJdHYeT6Wz83g6nZ3HM+nsPJ5NZ+fxXDo7j+fT2Xm8kM7O48V0dh4vpbNzezndO76yPzg=AQAAAACAAADAKwAAYwcAAA==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| 26 |
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|
| 27 |
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</VTKFile>
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_4_300000.vtu
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CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_5_300000.vtu
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CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_6_300000.vtu
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CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_7_300000.vtu
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<?xml version="1.0"?>
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| 2 |
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<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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<UnstructuredGrid>
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<Piece NumberOfPoints="1515" NumberOfCells="1400" >
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<PointData>
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</PointData>
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<CellData>
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<DataArray type="Float64" Name="id" format="appended" RangeMin="31701" RangeMax="62800" offset="0" />
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<DataArray type="Float64" Name="xc" format="appended" RangeMin="5.5271" RangeMax="5.9825" offset="2436" />
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<DataArray type="Float64" Name="yc" format="appended" RangeMin="-1.4737" RangeMax="2" offset="2728" />
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<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0081474" RangeMax="0.011438" offset="3600" />
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<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.23257" RangeMax="0.32649" offset="16652" />
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</CellData>
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<Points>
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<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.5095818413" RangeMax="6.3301250347" offset="27028" />
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</Points>
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<Cells>
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<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="31772" />
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<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="40728" />
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<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="43276" />
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</Cells>
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</Piece>
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</UnstructuredGrid>
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<AppendedData encoding="base64">
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AQAAAACAAADAKwAAUh4AAA==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AQAAAACAAAAERwAA0w0AAA==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AgAAAACAAAAALwAADBMAABsHAAA=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AQAAAACAAADAKwAAYwcAAA==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AQAAAACAAAB4BQAAFAAAAA==eJzj5BwFo2AUjIJRQE8AALsOMTk=
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_8_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Lambda/Lambda_9_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/Surf.pvd
ADDED
|
@@ -0,0 +1,9 @@
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|
| 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/Kn0p14/simulation0224_Kn0p14Ma4p3/config.txt
ADDED
|
@@ -0,0 +1,78 @@
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|
|
|
|
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|
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|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 0.14
|
| 13 |
+
variable Ma equal 4.300000000000001
|
| 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/Kn0p14/simulation0224_Kn0p14Ma4p3/cylinder.surf
ADDED
|
@@ -0,0 +1,410 @@
|
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|
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|
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|
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|
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|
|
|
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|
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|
|
|
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|
|
|
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|
|
|
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|
|
|
|
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|
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|
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|
|
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|
|
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|
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|
|
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|
|
|
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|
|
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|
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|
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|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
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|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/gas.species
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
| 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/Kn0p14/simulation0224_Kn0p14Ma4p3/gas.vhs
ADDED
|
@@ -0,0 +1,9 @@
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 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
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CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_0_300000.vtu
ADDED
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CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_10_300000.vtu
ADDED
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CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_11_300000.vtu
ADDED
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@@ -0,0 +1,35 @@
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| 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="1290" NumberOfCells="1190" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
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| 7 |
+
<CellData>
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| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="63101" RangeMax="89490" offset="0" />
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| 9 |
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<DataArray type="Float64" Name="xc" format="appended" RangeMin="5.5271" RangeMax="5.9825" offset="2092" />
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| 10 |
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<DataArray type="Float64" Name="yc" format="appended" RangeMin="2.0351" RangeMax="4.9825" offset="2376" />
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| 11 |
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<DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="18.168" RangeMax="62.528" offset="3272" />
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<DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="1.5943e+20" RangeMax="5.487e+20" offset="9256" />
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| 13 |
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<DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="1.057e-05" RangeMax="3.6379e-05" offset="21036" />
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| 14 |
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<DataArray type="Float64" Name="f_1[4]" format="appended" RangeMin="1177.9" RangeMax="1259.6" offset="32864" />
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| 15 |
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<DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-86.664" RangeMax="268.13" offset="36140" />
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| 16 |
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<DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-3.4092" RangeMax="4.1803" offset="42564" />
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| 17 |
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<DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.94899" RangeMax="4.1374" offset="52344" />
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| 18 |
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<DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="431.06" RangeMax="555.28" offset="59808" />
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| 19 |
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<DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0" RangeMax="0" offset="64256" />
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| 20 |
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<DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0" RangeMax="0" offset="64324" />
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| 21 |
+
</CellData>
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| 22 |
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<Points>
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| 23 |
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<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.8673390251" RangeMax="7.8102496759" offset="64392" />
|
| 24 |
+
</Points>
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| 25 |
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<Cells>
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| 26 |
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<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="68600" />
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| 27 |
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<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="76240" />
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<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="78424" />
|
| 29 |
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</Cells>
|
| 30 |
+
</Piece>
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| 31 |
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</UnstructuredGrid>
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<AppendedData encoding="base64">
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AQAAAACAAAAwJQAAvhIAAA==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AQAAAACAAAAwJQAAlBwAAA==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AQAAAACAAAAwJQAAzBUAAA==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AQAAAACAAAAwJQAAHwAAAA==eJztwQEBAAAAgiD/r25IQAEAAAAAAAAAAHwYJTAAAQ==AQAAAACAAAAwJQAAHwAAAA==eJztwQEBAAAAgiD/r25IQAEAAAAAAAAAAHwYJTAAAQ==AQAAAACAAAB4PAAAQAwAAA==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AgAAAACAAADAFAAADBMAAD8DAAA=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AQAAAACAAAAwJQAAUgYAAA==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AQAAAACAAACmBAAAEgAAAA==eJzj5BwFo2AUjILBDABboinX
|
| 34 |
+
</AppendedData>
|
| 35 |
+
</VTKFile>
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_1_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_2_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_300000.pvtu
ADDED
|
@@ -0,0 +1,37 @@
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|
|
|
| 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 |
+
<Piece Source="Grid_4_300000.vtu"/>
|
| 29 |
+
<Piece Source="Grid_5_300000.vtu"/>
|
| 30 |
+
<Piece Source="Grid_6_300000.vtu"/>
|
| 31 |
+
<Piece Source="Grid_7_300000.vtu"/>
|
| 32 |
+
<Piece Source="Grid_8_300000.vtu"/>
|
| 33 |
+
<Piece Source="Grid_9_300000.vtu"/>
|
| 34 |
+
<Piece Source="Grid_10_300000.vtu"/>
|
| 35 |
+
<Piece Source="Grid_11_300000.vtu"/>
|
| 36 |
+
</PUnstructuredGrid>
|
| 37 |
+
</VTKFile>
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_3_300000.vtu
ADDED
|
@@ -0,0 +1,35 @@
|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
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<PointData>
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| 6 |
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<DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="16.37" RangeMax="62.478" offset="4208" />
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<DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="1.4365e+20" RangeMax="5.4827e+20" offset="11116" />
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<DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="9.5241e-06" RangeMax="3.635e-05" offset="24796" />
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<DataArray type="Float64" Name="f_1[4]" format="appended" RangeMin="1175.9" RangeMax="1259.1" offset="38508" />
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<DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-270.06" RangeMax="124.56" offset="42304" />
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<DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.858" RangeMax="4.1517" offset="61172" />
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<DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="427.84" RangeMax="567.52" offset="70344" />
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</CellData>
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<Points>
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</Points>
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<Cells>
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<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="80840" />
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<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="89796" />
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<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="92344" />
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| 29 |
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</Cells>
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</Piece>
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</UnstructuredGrid>
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AQAAAACAAADAKwAAACgAAA==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AQAAAACAAADAKwAAGigAAA==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AQAAAACAAADAKwAAmhUAAA==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AQAAAACAAADAKwAAhiEAAA==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AQAAAACAAADAKwAAzRoAAA==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AQAAAACAAADAKwAAIgAAAA==eJztwTEBAAAAwqD1T20LL6AAAAAAAAAAAAAAgJcBK8AAAQ==AQAAAACAAADAKwAAIgAAAA==eJztwTEBAAAAwqD1T20LL6AAAAAAAAAAAAAAgJcBK8AAAQ==AQAAAACAAAAERwAA2A4AAA==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AgAAAACAAAAALwAADBMAABsHAAA=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AQAAAACAAADAKwAAYwcAAA==eJw12qG7OQCaBeC7O2bX7NgdO2ueRxAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAE4QbhBkEQNtz395X3b/jOOYGv3wsyxDAjjDLGOBNMMsU0M8wyxzwLLLLEMiusssY6G2yyxTY77LLHPgcccsQxJ5xyxjkXXHLFNTf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|
| 34 |
+
</AppendedData>
|
| 35 |
+
</VTKFile>
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_4_300000.vtu
ADDED
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CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_6_300000.vtu
ADDED
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CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_7_300000.vtu
ADDED
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@@ -0,0 +1,35 @@
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| 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="1515" NumberOfCells="1400" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
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| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="31701" RangeMax="62800" offset="0" />
|
| 9 |
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<DataArray type="Float64" Name="xc" format="appended" RangeMin="5.5271" RangeMax="5.9825" offset="2436" />
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<DataArray type="Float64" Name="yc" format="appended" RangeMin="-1.4737" RangeMax="2" offset="2728" />
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<DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="16.33" RangeMax="22.907" offset="3600" />
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<DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="1.433e+20" RangeMax="2.0102e+20" offset="9796" />
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<DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="9.5009e-06" RangeMax="1.3327e-05" offset="21552" />
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<DataArray type="Float64" Name="f_1[4]" format="appended" RangeMin="717.27" RangeMax="1258" offset="32792" />
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<DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-122.45" RangeMax="25.878" offset="37472" />
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<DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-8.1906" RangeMax="5.7511" offset="46604" />
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<DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.86321" RangeMax="1.7202" offset="57736" />
|
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<DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="426.43" RangeMax="771.45" offset="65192" />
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<DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0" RangeMax="0" offset="70568" />
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| 20 |
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<DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0" RangeMax="0" offset="70640" />
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| 21 |
+
</CellData>
|
| 22 |
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<Points>
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| 23 |
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<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.5095818413" RangeMax="6.3301250347" offset="70712" />
|
| 24 |
+
</Points>
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| 25 |
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<Cells>
|
| 26 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="75456" />
|
| 27 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="84412" />
|
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<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="86960" />
|
| 29 |
+
</Cells>
|
| 30 |
+
</Piece>
|
| 31 |
+
</UnstructuredGrid>
|
| 32 |
+
<AppendedData encoding="base64">
|
| 33 |
+
_AQAAAACAAADAKwAAEQcAAA==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eJztzb0KgWEYgOGYpGTR+xaDhZVBGQhPBkpMVjGY/QwsbCgj21cGBmVAyhkYWJS+UpKRSSkDo5IDcV8ncD1uYffGo2SQb/iMhJLQdh2olpW8vcdaqa/EGDpb4YWSqCXXc5hKPoXK7vtSMjnMzZPSkozfL8uIFuvI5hkXtczsKX+zoyXT7gazMy3287Qe22tZpa8t11PLg4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+Pj4+P74+/H7nkUEA=AQAAAACAAADAKwAAewIAAA==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AQAAAACAAADAKwAAFRIAAA==eJxdmnn8V1P+xy3pF5qUTFEYmqwj7j33noPSOG2KUdZJkn6YflQSStSoLBFRkmVqRCEik0wNIcZUmIhMKky2GWEa+5J9nXPP63m/Zx6//vn0+X7uPed93u/X+/XezhWt1j/35XGl/+z7daPfmVv6Q+3AJYe/X/qnz39sdpujrL7Pt37WR3f99VcvWd9k/s79B31r/Ru/3WFBz92d7/SPo6ZM7+P03DDnLxr66HnXj3Z+xa8OnNTlYue/2HvA1OU3Oj942gdjD33A+U/X9D6t+UHWT13++d4Dzrb++XavfD3+Huv7nNa838HrrD+9+tfY+Y3fzvtkTQfn+w8KO/R2fq+82tn5xZuCoEOcf3t1eHGg820PeK1940ucH1AteLPznbd5ac45tzhf/fXGCc7vET66PWP91cOqFfls4fwV1bkLJzmOcr5XdaAzkvyXv3fMQ7te7vyYd/bMm0x2/udBzKFh/erj0Ruc36lR32YdrnP+m/HVC07y3+/87n8cMXhakHvRLZXCnK++fjDA+RdGh4UGO18tNz98j8fp7nz19o6DkPNMJz1f4HzY/L1jZjh//Jt3znziVie9zHX+lOrgv3d+Upfwv0vZ/zjnm3UIO/Z0vm/1n6OQb4TzSw5vusUvrkBPtzl//Y7hhynOR3Gv5Nzh9+0nLF152+Xodbzza4OZ+o1xfkHP8MA16ONO52/6ffUPvcx3voJDp9nOX7hD9WTSX/x5rPN3nBMsMiGda9Wz4d8w/v4bzncxdg5y7VMZMsgVtHH1sCvQ63no82rem+N8o3jQdJ4Ig1Hp3F0rRV2Y3qtxUdu1xmc8ZzjPsZXCpzm/bOVtPRaPdP6CAP8DTnb+5id2CyZM56jfi/q6M60bzz0j2eWr48LBLnO+deVeE9Lfo9+c6nwwSqv1wW8qMzzVyvlnwrabOvN8t4T3yqx3TXT+sAj8hJORlUNdhP8F+1Ti9Djf+VvbBE2cDl7C55FB3FP+z/lzo6AJJ1Ffv8aOR4LD7vipdf53Qf0bOzm/SzSM86MqRfdJn5tV/05BP72cr9T1WnfwFNZ/PLjV1K5p/8gDYb/qeG/2QM7DWMcj39FO/HKS80dPmT58+4CPoJ3zH/tf8NAT/uiXzlf7T22niLMDwVW9bub8WZX7myTvx9Vjhzt/e1D79yV2D3zwZLVMjnx7Oh9heSB+Fn6/O7w2aXf009b5Sv3DDTjb1vm5M8MG28MDP8FfvrY652bpe8THW1bnfNP6yktb/ddzEfefWcm9xvp+URG24f0Ij0bgqFl6PvLZR9Z3r4juaavfn7Pir1etcPWy9UX1b60Fx1bnnmb9d2G33ssTX8b3doZXtoN/wv7RDzYDR59bX6l7t4+t7PN3K3z+xfoPA5oG3oS8d1jxzlPWV2Zr9IUVH7yf5I16fM9Kv69Y+ceLVv7+mvWVFma/zPPvWB/h+rr18ZghPkW++tCK796wwmv4HnGwmnM9jx7XE9+eJa69kuSKfP1v64PThDetcL3R+nHVC2Hf6I9fWeEpPBf9N8gX/WsFvz/E8/OQ6xrbEI8izwU9RPysQS9hncgTG6zi1+PY58m0XtTvQ8TL+638KdgvwuReCy9b2es+8PRPK556Lek/2m9pwlek73VJnhpHEe9BjzOGV5JY4XsR+riLeD0XuWYknEb/mYse7wbvwf5HVED/nRVfhc/INzci71TkuxK/mGD9PQGOp11r4WeLvyPXqdhtJjiYxT6XWcX3kehjGHa8AHsMseQR+EF4TvmDhefJby6x/m+Vemdy/pCnKP6SDz2IXv+MXHdglxuw72DWHQA+T7DwIHjoA65Pxj+C3DFen5Gei/nD2PR38S9+3Qd5TrTkQ5zzBPbvhX6tFQ/3wE79rOLeweB/P+xq2C/IK/604rHeljwMe/ZK51I+kz5jPO7N90Pwp1bwyyel7N+K8zfDXu2t4kU7639YV22AHbrBA53glww9tUf+neCXNuB1O/TTrM4jWXdD6X9WBf7XS8nXwer7L63yhXDugZWCtwUPLTnfd+TFjZG/BfzTJu0jXoSnWsErO9X+Uwo/bfHTrbDH56XfJhoK/Hxf+gj3zazyjvBdflsK/6tL5QWPl8LBilL+Fz7Fj6X84/lS53imhAdL+fenpfwynD/yz3ul/POvpXBydwlvlPL/RSV4LyXPLaU/u3L/S5DzlFLnGFUqniwpwT3rn1kS90vZ8xjkC5/xox/1xdmlbxwDO+ufWpKXsG7Hkvhcyv7NS+HyFOQdluSJ6+xXKl/ZDr20KpWXtinFJ1uW4oVNhfKKHwvlr+Ez5lmNS/nplwX6L7A7+4bvEZdvFuLP8D3aJXyPeHiuII4V8HshXl5VyN738Pu8Qv67oNC6SwvxUngvxpMrC8XFyYXykusL4XliIX+djPyzC+nrxsK/X6W1VxfipRMK9F4ozxlSiM+6FL56vWlX5O1TSL/HF/BQIf0dUKguO6IQD9lC8ahbIX/rWOB/7Hdg+j2ee+9C+Nufc+/LeT80OlfTQngpC+xWKC/foxDem6OPdwx+UQg/LQrx147oZZMh7hrh5Ruj9z82yhdXGK2zdQHujeQPz0U8rTbSx3L2+aeR/p8y4o3w95jX3mGEmz8ZcGEUp5fz/VaD/tNzMY/5g5HcC43i1CNG/BnWj/pdaaTfB9LvkS8XI9fthviePmVvQ/5rFLfvT/upnjaKCw8b+e+fDXWqoS4z1IVG9ptuxHvh98jzZxnilVFcOBY9dOd8I43yxEuN+O1C5O5rxIdnG+KMkR+GvyueG+qW9HzE33mGusEoL+jLfo0MdQFyH2KIS0Z1+PFGedFBRn7e34DjJHe0+y84z4H83hm52/L+33Ppa32u/PBcQ53Ec53AS3Mj3tkP/e0F7trw3ElJDtU1hrgCnrYwyuf2QE8f5cLpGUb5/8FGvBLei3y0J3KEfSJv7MP7W4GDz3PZ+91ccWxNLv1sZpQP/dKIbw/ivbfzBj1HPzkn2Uf9CiN+aZrOGeufL3P8J1dc2AZ87WQUD7/JVYc2S3qK+dW8XDjZkBPvsP/Pkh6iXb/L5RdN0rlVP+E/n+QN9lLdY/D/XPIvxm7TcvIFo3wsPCeeMuLBfcBTc/w1nEd5dw6/4FeNDfmJUTw/GP8M+0d62xn570z2izxfy9sCnjvSwGvY8X8M9ZRRvvYD9gj2jfHwAPTd2sDD+M2WRvnuMnD6dU4ekp6r8RTpITyv+tqQT8Efe+DfvfGH1sgX8BT7Jd/m1DW59PZwTv5nyMfgSY8+hyR/V90OH3eGh/aFd1oa6mRDHEp2iPwT8BXh8WBO/g2+RxlfpRFvnwPOfpv4oOYP5bumwQ7qExjlO7tyzi8Tvuq/x7wz4KP2d+Wz6O109HESPDQIu40FD2Pwn2uN8HZh4ruY3/ZNeo746gWe9gdfc+Gn6/DPGezzBDi5i/fvNco/FvJ9Cnx+C34yEX+dj7/PgkfGwBdDOM+/WHcjfvk0z6038ud3We9f8Fp4TnxilJctM/LflfDCZEPdhj3+yLqTDP2rAv4plN92LuChApzC++uwx2OGfBl7hDgv/y3k318Y+hum4e/1OSJvnUm+EPIc4bMQXvoX1H2FznNsAX4K+lP83ZBfHMN+fQvhuVOhON+ukB42T3mZ+s6sc3sh/IwlH5xQyI9mkHf8gTxnMvoYl95X/CT/DPmd4jj73UZe9j3Pv1EoPi4uhIeQV4pfyZtWF+LhkIcq3y9kpxcK+cGDhXD8KHLOwR73kecuLIiz5MktyXt3K6XvrUu9/x1ybkvevnnKmyOuP63zrUL+8W2hujK8F/3qlUL+9wR6vrDEfiX9vlJxInxG/Z9G3dY7fSp/pH7pVcqvDivJB6gjbEneUirPP7Skv1AqD1xCHXIf+80u6SeU4vMp1G9Bvij2GOqI31BvHFkyxyiVx41K9U/9XOSjjaXi1lul8PsW+/2DevhF6q13S/FaXc8tLOkzpPovrjsHu9yavsd6dlZJ3k4dW9BH+Cl1fAfq+A70B5rQZ9qS/kqLVKdHnnmtFO6WoYdHSvHGw0lv4uHUxxBPUw/3pS/Snr7O3lb5UUfq5/2TXMqzqOc70vfJ6MNsXvflSuHpEav9p3K+Uak/EePWiZz/OPpxPemrdaUv2IX+1J5W/rI//ZNd0/N1f6Cef8kv6a9Mp4+4MPW14vq3o88JvD+evs8F1P2jUl+k7muIX1LfQ/OK1A9TfKBfdyt9nwX0cW+y6k9MRN/n08c4E/mmpfXqflo873D6fscyf1uJ3Zbw+3P0E1fRd7or9ftivnFf6i/Wn8rj0eN4+i6XWuUJk9J35VXMITay/orUd677t8qXXUP/se6z1X3OWj7Fp9SHFM/SxxyR+qTqd6CPZ/5ff/dB8PdI6pcqX0590Zhv/inZoe5rK+6h96tTn1n1pFU+9xLrLkXOIIf8Gb9bmPqrkd9W4YfPp/XiuZ6ln/ks+tpA/2qNVZ61NvXBY94U3hPfpr5ujFOvpv5//V7E5avY/0P6qT+Aqy9Sv1r8kPrg9fxCdQj6+iytU/ft6/mx+lRW9du6ZIfIhz9yzveRbxP99SbM0xq5hn575I1V6Zx1HzvGxxfTudW3wX5rE47i84uSfuu5Q9y/KXOnH+t+oFM93o455zfgLuAy5s9vJ7vVeInrfkzfdSvmUM1dwznrfn/0mx2YY/6EOVoj5oHfo+etmTeGdeL6OzB33IX5XVPm702Zc32a7Bx58iPbcB71T9Fn+Iy429fBt8ydD2Je2ZXnujOP68Yc/BAnftuV+VhrR17tGubr9RxL8TvNQaP9z2WeNpL52Yj0nPLwNLeL+mif5mxxznoQ89/Ojv5Rej7GrXHM4UYwJ5yIPS9ivjmK+fugNG+M+B2a5vaqwx11GfPVVtwbaJn0X88pox6HpvVinXAi8vZL9xYifw9Pn/Xctn5O/XX4cS/XgJ963lfPUVXvpHXq+XTknYvT/LuWS31XR14MTv7rfkA8/1Xg64b0e7TrQObyg7mX0Rs89kj3G+q5e4xj5/LcFOwzGTtelu5rRHhcnObb8RzXJPmi3Efgd6fhH2clfdfzXs1N0nk1z0GusdhpHPKclebR9fy4nqfH+m00c9spaa4e099r0z2F+p6L+s7Mj8/DD6aneyj1fQvFBXA01VF3p3l7PX+v59ERn79Oeq/xrHoiraO4k+ylOAw+XgBH/0aOZYl3a/6K7+/jxGNdWPcop7jSlXsRJ3L/Y3jy3/r+S30fRXOvdC9DdV+as9Vz33qeWfOf8r10HyTiczR2vyrdq6nvd9T3OOLz88HPUvz6UOqCe0viBfG5P3JMSvPlmpci3x2Nfk6FT05Gf6OS/et7KPW9FPVRqBuvK5jrlOCvhP/Jn3ex9CPSfSflz8TNLbmH04t7CycknEVc3e8a+nqyC3X4PfQVmjAHuIg6KtRV6otSr4Q8Xf128sX+6H82+fIHKR7EdY/gHsSmjPtROXLn4rOH6a+1pf99O33NdtTrlzFP+KxomP+oj869sqbkkT3Z/yzy19Mz8t2M+TT7t8zpp+TKO6fmxPec+EWf6arUvxDPFsL5y0VDfai5eUlcyLiPkwkXkzKdM+yvPkpGfZpR3+bEhZz8LxfPfUK/rRt9oJkGvgYXlzP/GJrBF5nwcXym+DmQz/EZ/feM+wKZ3n8yY76UCdd75+T3OXjOG/qpMS4PoG86JSPvzugXZdzDy+jfZPBzxtw+Y76eMZfP4LGM+VTG/Aa9tcuZI+TgNGNemClvCfvFvP22TPqZk34XH6DnxzLy/4z8KaOfxH4LkPuBTPp+PmPuiv0b1f3QjP4D+nwduz6d0e9Ieq3lUx3BfqvR/9qMfDZjzof8E8D/mFxx+Yyc/mrOfaFcdvp5Lj9uncOzmfx2i5y5Y8a9E/6+ISN/zODr+tw5/cGceip9RvnH0fcfmpM35NThOX2rnDo/Zx5X989z5sucN8gT4/Jbufzvbzl9kVz4mcc5bsoVT2/OmRPDAzOTX+reBZ+Dcu4b5MSVnHufrNfRUP8zz9mN/vD2qQ+tvknOnI7zrmSOsJJ+/cJccXJW0pfuyeXklTl5D3O9wcx7RtOPHc73fsxxOtJP346+7FfYfX3aX/d3cnCVU1+y/6K8oU9az/GiH1zCumenfrnyJfq2A1O/XvfM6Ovul+Y/9dxK99QMdYrx/wHQuqAMAQAAAACAAADAKwAAXiIAAA==eJxlWmk4VV/Ul0pSIYSEe8+950iShCQJaSVzMofMSUIqIUmSSqhMDSSVpEiKpJJ5rpCxTElIkiSVhOpd74f7P+/zvJ/2s89Ze42/vc9ea52eltzV263ZIFqblEims2E8ziVceYgN4tH+wwa6JIgKZKi3pZCgqTul86mGhLyMb18XDpPwZMXKvwQ/BT5Hi3cvX0+BetTXMX9LCs6pBqsxnCko/1Rww8qDAquT/bd6gylQaNwf1plEQeDDsThRRRJ+XGjoa3YjIWLcvaM/mYQ7d8nMrkoSQn7NHd/+g4RzecnmiyUoGGDosirXUVC853j8JqDgzv3+g7/MKOhxfrU/V48CvYg9L1fuoSCs4Nyb6TAKForPk3IMp6DT9ZDe3b0UDCd5T2sXkjDe4UsN9JJgNGdAgPpHghqfa8AHBgU/lnnHzqD+EvE3hHi20/q7lX05y+9NQcIjl67HBymYk3Twg84JCkzmmfpUHqFAc8GKf1GHKdA9U6h6J4gCGbMeg+JElN/2eMuLpRR038gdvq1KgemWs4JluhRIm+1VSNhOz++MHjzuu5oC7qUf9+YYU6C0yP6prQUFp54Mcc12omDI6SvL6RgFqbndj7xOo536HUW50RQcKN7tURFKgUVVtfRrTwoELb+Zv9tIQamHgmyVEm2Py6wmnjl2FIy/Xf31nw/NR8Ji8dyzfhT8lTirk+lLwUTyb75z+yjwCH2ckYz2Fuxd7qm+mwKRNjmXH+gHVnOaRsYh9P9np8BtUbT80XdtVZOxFIhbuvnOP0VBitLN29autP8y93FNz9pFgf1mW6vxvbRdhZ6tf4sQJ6HruR080e7qO+FFA4iTZOUJoVbUK3Rqv+k31MuvSOSPLuo1JiXs8dOeAqHXR+t9MQ5qxrkmQZF0nDnrJq+kX1vsQNvNFIp4lOJKr+PQc+LKwafPv6tGa9GewpXwDTCeIw76RrtRXjN5QJp3KwXX15hqdG2n7eCsK8+US3iL/ohUYwmIh9Px4sSl7z1vaI0XBTbhMepue+nnvhu7RtcYol32Nw/5YJx8n03PJ+dQEPy0dpvlCvS3aZX1FQUKNCKTT05tRj9Lu7fsx/gJijrrujvTOCmW+3ayFuMkE+tjs86fghB1y+eDaH/M2hX1qdvQ7iX8XZ9w5LsUdLPehIL2mzZl13dQoKMnrLpQGeO1X/lRoxaNUxmB8wdXIB61IyayZxEoN/nUqOty9Gun6r1IdfTL1Y4dvWr0fh9855LRoE9B5fLJzebIL+vexqt/V9M4TM4RVaheRctnbhevENNG/Y1GqlsUKchb2dQqsQbfv+bL0V1JwUwi13PxDYiHjyIvd26hYCrJXOWCEcaLK+TKaZSjeUZfIgT5KhprKZnq0HZy9g8nTg1paoLfWfje72nnMnmUG3OnMUYS10W/0nouTetrUJ3uLauCfryz+EYBk4J8uZA9KXgepCtYT+2SosB2lsNwhxDu13ApaXU2BSqGiXbW+F59vuDCPXjuCcUrTHTxUiBfP5fcgHzJc9xTl36TYBEWsHUTF8p76WisM43nmldCsssQCa03tBqOjtLziw9M0xmteM4pFfnMbiEh7d6L0NaPJJiV25aqIh3360sJkv0kXF8Ve6CkgoQ4RbHLfA/o9WOdFTFO4yQUyLbH3Zqh6fve6uff7cFRsrOCfEZC+I+FD7pLSOiVWrX6Rh0JjQRPqccLEliL/EN58Lz1mBKfPnCZhO7uEwpzT5IgH5lvlP6QPi9FzSYXe85HP328ka38hwQ5o8OZGSjf6jjZXYl6RisLdh4bIGEwWbh5/TsSSql3poq1JIi/qip7h/omfVF/e+0sCU7BJyusLpFgU+IcUvaUhJjxjp+LPpBgyq25Xr4b32/8+ehtAQkvXM8LWHehPg6uwsKo75PbhktF8LszdKXUvage/dj7qmsC9dfYapy9q4OEEdvIMMMGWq5NaJOv3lsSuESPLBJqIqHTMT/kPM5j1njOPl2G9jSKr7IvJ6HORSOt8znaKT5LeWcRCe3XEn+FvySBX/jnx2q0R5FvzPbZGxLUTysut0P58oYyWqtwXrDb47o0ymU1fDhwFuOV+6nVg7udBM8jt/zmoB4WXJddlNG+kUSJmMpM9L/y1SJL/L7p6mRf+HWc/O971JmiG82L9kqc79MbRn1Unj/110c+C83bnQqbScj/qBA3/xEJ5WT0h4f5ND/36b3uXzNQ/xt1OebpyK/jD28Bxu+6FxGqdp2EhNWV8ufwe52VEdLSd4OEyUsf236+wnWFXTb+9bT/U7z9PuflkCBtkuUWiPiSi5r/hFVF68PBUdhPx2U70I8ezyK+/EY8lbrtc8hII2FC1M7eLYkEr6d9orMSSYj8JuyzO4rGKef5VBsZOJ5Ex58r4YrsnEj8zuflSxSdIcFfld1/PQJxeU2my/YE+jXq4pXJYBKCfyTG5wYgzjTb5iiGk+ByRMmmE/Epc2as8t8OjOPZ55Y11iQwoz/xHDqH/tvaGbshlgQeM6GOJYdJEDknWbZ5D+JomYhGiDMJmbLjO7Z7od8YX+q2OJJgoM1b8teBBMFXZrceeZCQLndZ0eA8CaEPXe9rB5Iw+sZaqewQCaThQ9ZsfM7XbPhR7irimt/qlQ3iude+SEMC4xCZe8JpNJuEnuTrjwTQvrFLfk9fniah1omd8xj5+07UGR83I6H5retRaxMSoIyQdDfCfa/wN+0joH/Mt8QPmOP+jdcrOo1yC9nVOxftpOmaU1r29eynn8d9qSk9tAXPj6zY7tl4P3OautWjZ4o4yylq32pJQoN0kvNzYxJ8VB9U+2vjvnwzsOTSKtw33YJCXRqIzyK9qBTUg3vxnvbDa0iQrVm1e4bE5zPtl8VWYlwTjgRYoT55A+XKnmqIx21LL10Hehy6NOvqDS3aLr9HF/cImNMjb8y2I0JIJxHFPtaggvvOa8PWAQHEpecF388jbBAyYlquFET8d4g17uLFe6Dw1z+VUojPX1nJLctw/6c4meetwPgcu1wXsAHXjfhZ/lZGf3Dlrngni/61oPpUkV5m3uLeb0IkKJxME+MXQbxa350XNp/mmy7T4a4wi4Ts/pm7FT1sEInc+Wt5Fxuyd3XHNFG4vja0OVAVz5+NAkfPyCF/LZ11NnMRdzkGhVKLSHB4knFA8RcbZHmK/Q4hH1+/Lx4HF9DyOHLc1sUseY5yE1bOdT2Adt0Z/PlFTRhxaGIuMDXMBtXZatvklpCQulvA8DoXrq9UoU6PsUE7NHDZizlot+rGTKNJNsw0Cm22nWb/N5fk/aYA3WxQKj9ncq6eDTaB5m8Fy9jgl/Pm2vdKNkzEFN5Tr2KDw6/1oRktbChkzEv41sAG/gUBFudr2fD3Vcmbt5/YIF27KN9klA1xmYGfejvZMCzyykjsIxu8lMHjTQUb0ga6p5bcYcOTa/UnuzPZMNAa+PjXAzY8INRNSjPYYDG59NV0MhsuDwo8GghDfY5pBfx2YUO5XYrjT382JO1OVvB/woaLH12YzgloR535YU1vNrRaHXDN2c2GF+LlaZEWbGh4E1UqbsmG4JFlXEfskF7m+6pOXzackqsrvuGD+nc/LrR3Y8Pgdt3d3jZskNPWMLbSZEOEx3znlPVsiHZ3jbwliv7UnB9/2pUNYXu5bwrjujwH8qQ2zhtEJRti17CB73RIsAPSqR/5/nyeFBus8gKih5lsyJWUXSrLx4a6C+ctuGZYIBlmFioxD/Ocigi3aB7U82JfSfAitF/AYNriHwvKrd9d6BhiQcLARFmZGBv0Js6WZH9igX1OiMGhERbAusqbTJzbjOcpfPzMgtolVrqf37Agq7vpBG8rC9IcNI1GmllQaRUttxOfm+U6JNY8YkFj8+GoUBwPZGYFqBWwwGtkbY3MSxbckeL1CGphgefeDOMLF1hwKm2VYGAiC/Ivp+4krrOg22T3yM14Fsyp0uNeg8/5YPWt53dRz7Z/D17eYEGITFK73WUWSBT7r/7hzoLRiJd/2p1YIMLFdawvgAVhruEC3duRL8tkpacZ2nGvJHSHAwsi+jxz/dxYoPudcBbwRr6zeutVNrFA229Dsb8tC5QCyvrLdFkQ53g3RMQC7dgnUK5kyIKxat7rbStZoJknvc5Lj35vP7LtXLM6C/5WhAVFarHAzbO/anQDC+pMjj/cNhv107hkMMhAe5fqpzhsYYGfO9/a5Zoo7+HLl19VUV7+9m/qbBbIBZjUXPpLQHUM32xNERYUCr9QTSFZMKR3yOOpHAt8ZPKuzeNlQWdk1JWj3wlIsnNsYvGzoD2qh2dqDuq1/5Xjm7cE8BxPL2FIsSCvtXrh9D+aLij1BtfKQQIkCh7vam8nYPhULl/+TwJ0v7pc+t5DQHJi8kFGBwGNUXuHXxUSUNBU/+LkSwIGa4ZGlyPddRv38/fw/YN4qYWOTwgg/SO0vqXRdGGOVVtKKwjIbEu3M35OgNet5TL+zQRUCoScyUL+ZvKlw1d70T7+ldKK9fR7vVEB+QCcaz5w9DYtIKB9/j9ipIgePahRMedsAtIT/tjmHCdAIye3ve7/yJucZcy1s5yAvq33e4WaCAjsCz/MbCWgkzcrf18W8v36Nej5RQJO7WTsq7lOgJ+L4d4FDwiwWVFzRxbfW2ScTRKOIEDni35a40ECpFWVMpt8CNBetUqq2pkA7mKpzkPnCBg4ORImkEzAE9NN239cICCvcd7md/sJcLuVN98oEu2sU8gV8yNAfV++V94BAjzJK1kDSN/4YvqXXiJNz6eRszjuPModkroT7Yb8zjc5eCN9xNKj8vkkATFLx/R6vVDfLq3IpzvQzz/u2PbvJCDLzG9BhS8BI8evt0lZoX9OMzb2+KMc15UFOw/TesfYhFrt0CfAvf/bXT1LAs7taClrs0X/CUn731RHv2w+OlU3xYS+MkGlT9NMGC+b8NwYTcDrGu78FtSHa2Os04ANAVYydgZnVhMg+kshVMEA/caYifffgnhqK2X9ViOgW/eTjVcA0t1RX30J9UixnFLkRz3zTGQdmuQwDlJWRUdZiLOyEybCgHHSkIYCQQKyhWLj6sMI8HE+2e+GdjDXvtO0xHW+TkqBQ0gX2FN1f44u4nh63uKJrQTwP1lpFUUh3cN/O7aKEtB6ksfg2QIC5Fd/KfD8wQSv3sk9LUwC4sSvvnW1Q3+kPqt5jXYrZbfsnD2PgGbe9Ulb0C4PtxCqM5KOjy+R6rnPA+dfXp9OX0nbmf1q0zM1cQJsyUcHYxYin32bTSPRHvGJLpFctLs8Ukn3nwQBBp/+TPSsov10seX26tf1TEgW/lv5czYBCg8Oq8ysIKA4ul1yciPK70vRrttMgOltv9tjkrif4te18MnSdlcabKufj/x41295OC6EcVde72GP8eJRvyy9D3ERd7Fo0lKEgPGZmuykTozbBptC4cdMCJP091mJOAm3fSgoi3QXRX/x7EU9uTU0f+5G/9l+IN3FFGl7avUyJgT5CHBxfXJVeQ0BCVadx5xk8Pn8pZ8uofwDzG3/xq1o+bLj3OHDOM4c5j2i/oIJ8spZ4acwfrpyKl2mq2g+EyWmCbAHzwvuAqWTaKd0nllVxXI8D5o+xq7ZQIDTzSuiKxhI97f3RhHiSC6XseCnEdo7lXfrsCqeK6YNKi+MCQjuZnQsYBNQaND94N0AEzRGTkjKob9TEiI1T6+n6Th4Cr3y6Uci0uvdLbXoc8H91ODsNWiC58sND3vb/8XTtbWpUahXZEfiw1KUE92uqweIp2r9GeezywjIN24bt1iK/vo9KtXSzYSpEIkHzUivdj/xQ4YTjU813/ntiuH0frfdPceQQvwLrn/yShJxF52Yr/5SD/dnqWL/RSU8T+Q7c/RNcd+1nPWQc6DjID9mf++bGO6n7qzC9xhHn3632gNXEefTQauYMag3W2+TRxTa2XxvaXsCfR5wzo9CkytB04hfThw4+FYbXfGdhThTvC/z/Jg47X/Ocw6OOPvdQabB/SHqn9qmrMU+Tp8nSdbX580LRTkCC7zD8NyUU/n3lRv1qDZ+tjIjgz7/OOcd5/zi+K3zVF2T8y4C0oT3v2dgfLtrazcGFeN55/knOukuxre3J3V5Du6PQ3fGUroIGJorE0uWErCwaGMUuwrxNlFmzIPfD8WHH+KupKMdTxaff/cIz/sUS/P1eH7P0co0n1eJ/K1Kn+Tl43jBtHpVPO4z/iezeE4SIPQnnrl5Gtepfzv4ZYaAurOLy2rfoR8e2tyvGsX9/PP934f4XUzoDlSIRLrLV3QMxJGOt6TfWXIIz4HpL/oG7fT3Snatmd2xW4jrLfP5JPA7lGotTK6pxX22Q7fnXyrGP7Tat96cBSO12f4NJvi9nv/BVhvHSrN6p036eH/4svotid9nyaDWkb5hxKuTeI5GG34XFhm+ejub/s738FVlxInhfafsjNqSBXjfmJt4z4SXfs6xg5yRGZUIYoF4yfMk30AWzFS2feDBe47C4d0FBXtYMM47d+FoOAsmeBzX/nTG+1bG4NdYvBdFvhfbOon3IIk/PBu9N+M9ZHnQ8mx8L/ovS9gd70/ti4o/zzNigeLjNPvHKixo4E9Rt13CAt5wIekSvH+pPvEc2HmOBcmMDSz9bFxXKsnz5Qzeo/JizS/G4L1kW4E18xbyMV1UkZxP3+ekNR9snB9FrxeaZT7sgOscFIymhvF+1y3wpkfuMfI7Hj158B4Lzu0SZKyYS98/yRCeFtkyFugE3JYUxXtlsznPXCG8f1opXb7d3YF+aWW4HG7He6NEmM7qjyyYnP8yPqGHBdldIeLR5WhHS93ETDULWMWfDKXv43s9uxuLnuH9ML1l0LcQ703T8u2Sm9ggU8qttUmCDSFyO1IDZNjQs73FYLMgG+bwXu6oms2GUeOpp0eE2JCZkvB+wXz63qyjJiZwdYoF/Cfbb+36zgIu/YaidUjPW+P803wOG1IdYx97DLCAR7ftSHkDxiPH7cTzYDYc2Nel3LWXDQqlh+z2Yn6R1RtjTOKoc8R9cM0uzNvebey7bUqP3C9s1z1XY4NgTeviECM2cL28l7rFgA2s8jtL1DdivrC8JVhenQ3+3mt39umxweSX+VbLzWzQnb72Q/cMnbeYqN+UHr7HBrcf2poq19hQ3fXGm+8KGzxzH49uOYd2xujHCh5lQ5/5yEb3I2yotDX8EYj6ZDL9qpeiHkkfCvU99rMBNpzw1gig8x8Onemz1ZeP9LOhgGn7z7uXHpNkFxJ/MB/tFrM84IL526Dl3DVnBtnQbhNl1drMht4l96/swTzsVNbdm/cf0flfsM/0QEQq5nFxX3fPv86GqXOibzbhvMcyTsQxhQ2T8bILOzeRYPMsNe8W5vP8Z63WX8X8W3FLWYq4DD3ms7heu88mQTB6dgPzLxvGzZv9CxbQeXqk/Iecyg7Mi+wWBzNK2EBWifh1PMU88hPvrx2Pab9VX+eRu2dE1zG0K2rGHfZhHu/YuGWDMZ2vCxofLL1NkBDt817qrRLK799X+wX1yCXTsxxxFFoUszUX8/yI+2Lc25TofD9sX5nX6hnM81z6Tey/YZwtFyyLukeCSemmeuETJDBfHhYZ9SQhcp/KmR1Agv2G7vKCbcj3w5Jrg/qYXz+RPG+rRYLOrLkX7NRJUK28vSlHjYSQ/bs3yzJIUKuweK2ynIS6q4uG1onT9Jz6AKf/JWT6TnorjnPMd0FcJAmFt27pLEuj61oWWrK+WRfo+pH9jOGjTQdJyP747NA7LxIkFz6YdEQ9L9/V3H9ahbZ36HVspoQkXfd4Qnmp8ITS9bCFTZNHsqPQH5tnzfKLJ+HOcN5jixt0HUrUZL2eyRES0vfIalbsJcHq6C6hDCcSeq8YG8SfRHt1T8uUHKPraT6/GE//uNL+cZspbtr7jITJ1wH9Plmo/9rNCSYlSO9/OLC0mIRx61jt14l0vU/hjOv7Fal0fZEzJsm/HBZH+3q6FCsi0O7AtY0BJMqTMXB6fOoorrf8vOetPwkqkSv2NE7T9dUG509qDk/oujOnfut+1NDwzxhdf+TU2Th1To5+mZlNmo64bvRyDamHehYOrDVNQP/xbi/xTtxN10mr+y1n6TxGuh3rxF4V0vI5dbyQQzKL4B5dL01RGHi7oY2ui9b2cV+sukVCuavkd/l4uq7NsU/pdBHfGvQzv9nJn1plJMxY5Xw70Uj3TTn1Vr0KdYEzqIcKr0F4eR6No8Gum+9yMQ4Tb16YfC7CfTimzFhSTvPzm/ygnYbPfddLUqI48ibwb1FoRjzd/6N+s5yu53Pq4Jx6t1Vp3qeNL+m6roOmHmFbR/cVOOs4/QF7rSvRr9H/tW59QS0jqEfOzcXJH+h6te9UlNjVXroOzulfaPOIvfiOc54Lzg8y+2k+nLp9ofuStak1dP2d41dOHBr7DuV+/YJ4YO1Y+aELzxPrOTu5+pD/d3nnyAkSDhTcSbk9Ttfbpy4meB4upu3k1LFVa90X1FfT9fwQ1Yv/XmAc0kZszxmjnQvjPHzW3sfzACy8xtJo/3L6DpnyOWzvKboPY7Npk+srLgoKh34sfcBPwYPh5a0hn/AcaIMV1xGXSfskyu+10nHj2DVs9/ZLzTvEk411bfB33L+nTNt5/9J2cur9biEp+Ye5Kcj+HKQ1jXL9Dx8oWIv0uif/eEWj/y/uL72c/ouEIDWN1xX43KmkNenzLAqSx9I3aPFRkO79cd673+R/I8dvnDj3SIcmSfXQ9tQNLDszJEiBSSXXpdWLKZhcWlMwW4zuk71m1W0VICmQjp3esEiBArkGm/OPV1Nw3bdX3wLn43amfOPLKZAxYRxPXUCBX1AVlTuHgjQf9YN2OG/or5Xy+kf3uwKf+ciYGNF9UE5/1vOYmybTnoKB3kcihjjn0BmdqvihpEvr03jzQ5o/6pmdNbwmTBr5cOdYWqF+Ux39m/hXUDDHmuTPFqcgdd/ZnjdIn63wQjRmFwXupUmsODu6f8rpl3L6xOGTLw9PGtP9RgWTuKt15nQ/NPrR1+KzKym4qKQYtWoZBV4za0YvzKbAnmvBsZ3of+nGKP1TfHSf8sGqgLvCFjS/gszHAQ83U5ArT2pf0kF/Nf7d9cCMgjr3ae8Ja3rk9G05dJz+rLvms43hItR/+OH0+zh91MsPC+eUmNJ8OP1pTj+d0//m2MXhr63vfiMCKBi6dkyx4//8H8BnM3zB4gD9fwPnfWfqXCtSjwLW4rUGLNTfs/iHYaIa3cfl/M/AiWu3C+utgi3iZbxEweUQ6ukn/2uLH90P5/yvoc33Ol7Ag44Pp4/N0a+VzXgYtRbxNZPGV2pIgabB04VzrWh/c/q9PSwtt/VetL0cveW3feDV30XjoXJot2qnFd2P5vTHOf30yIBcyVgnjKtwF3PZIVqfB6ODV5MCaL9y/nPxKNn6eIkBBf6FZbEvdqL95dq/I0Po/1DIuLKKh6cp4BfLy+lDv8qZqvlVIb+JHZnKv+fQ/XYO3jj9aMk4k9tntGi/c/QfYTzVHD1GwR1fc/cQ5MPdaeWgtp+OV8T6Q0EJFxC3T7MjMp5SsDBpcJb3S9RjIXtJZC79neCcX2NXlE98XEKBqLDHnG/yFBzQiDjx6H//g2lewzy2igK1l817vBC/urVGQFjT+7dxUCV4QTD9Pwrnf4x873ptZRzThq5UrsF7k8m/ps5oR7ovxvnecc4/r6IbvZLL6bhy/hvh4JDzXw3nfxXOfxx+IeFf6+NwX0idCmfcosAsX8q1H+/1pVLORZN32ZDrqlrQzo3n6tN9U69N8b60YktV/VG6H845l4IKlj1rUsd9HbK45SbG8XX/BvWLWykIOhJ1z8aBjj/nPxTO/zLV24N+Vq5jgfwGOfHiFBZUvxFPG12I9/GmY4fCMI8xmRZavL8J8xbtC6mtoiS4/DY7WKdJ/+/E6eMO2SvugG94zs97uz0J93tmdgzvkU00zrLGov3ikzD+/M21OT+YIH9AI+6fAwH+LI/xJeUE/OUWjpgtiXmu+pusTWdZ/+VVfXHBhu+s2SAe8Zi5GvMb0+Brkdzz0P6OyJHz6I/iNLM3KXEkNL9nbT3YTX8PGt0sL/1B/KkN3nX8zGTC2G870+mdTIhYUuySdJEJ4e0tKyXeMv+rm1aa8F+inhGQ/abExBfz4zoz7aN7YzG/V9EMaZvBfFTVev/kbjY0d6Q93FDKhobkguBnPCQMtK87Loz3a/fD0cffu+B8d972J2sZINLDG77vBAOYDo+ys7/ifGy2zUEtJnT/63z8LIQJg3+nPPY8YoKex/6jxpNM6Ns8JvpLhwDJyR/z2m4SIFq4U6NpmoCL7waiVwSyIOV6zZXOfhbEpT9lVGF+uNDQtj48nw0R/2ZXBRkxwG2+fRH3XgZUfttiYxnIAEGGlsf7MAZ0y/t+U7zGgKHPWSs+fWTA5YYLUxsVmJAQe7eiyI8J7eVjoRuqmBCWdPGMlBAB+a/y3rg4EZBgm6gfnEeAh8fGrz/FMe8/f7VxCebzIvYrrjlrMCD6z87R4yuQ7y7+IyVCDPA7cXPrKhkGyF8yV9voygBoPtokHsmAQF35VW/yGDCTfjXv/jADamddsXRazATWl6NKsuZMGJ6xiPONY4J/8vPNIyPM/+qpvXMf+k0FEPDjQ8GtvyEMKDyYy1wfwIA6Rf2wyWQGeJy58FLsPAMGPsWrVgcjf1eTtxKhDAgvX3puKo4BimJndc1OM8BLz/HjLaQr/f5ZweQKA/LUfEpzehlwkf/wQWVJJgRbHZfrM2aCi+PvFrGbTBBxGvI4+oIBETrmyQKPGdDund6WmsIAXpdlbKNbDJC13TOrKAPlnDgTejwf5bTPqHVkMiBBm9mn3Y1+dzmn5f+FAU4m2/fGTOJ6BdHaFeUoP8+OaCtGPFzdUri8jgFGvfKTclxM8Nkxz3SVOhOyzpw6OWcN4mDDgRMlMkywYCiyGkgm3JlvHPB1IRNUlqavPzTOgODqXRtG2mm/cvR78EQlN7kQ43JiJvnuXwbYSEUats1igi4rf+tS9Hddqdv+URzjzH2IsgwmmKTx6m+/jnJcjv12Oc8Er2Uv7inuY4KDtGnLETsm/F3rrrbCBPepZ/HfGh2M09O5z7qWMyH5rKNoHeKnoCrGW4nAfWS29ujYPCbouI6sjBJkQqvm5B0+YSYM/R5SblrCBA3PtHWSLUyYevr5++onTDhgx9xseoseRwr3Lz2ShvthY5R/XyzOp2ct/xHKBFvmRIYf7pPU+kd3P7sxobLygXSvNRPS6ly09yFu9G7qlGXqIt9H8nIicuif5X2bd+I+V/g6X+cQD+4j5WpDpXEm8AWEWX7FfS7yo5w4X88EJfkfgT9LmFCqp9o5WMYE2fsPsywbmfDkRWrqi1J6X4qPSxpezEQ81mQ4WUYzwcOeKy7Vhwly8sftXwYwYaFyr1CPMxOCUvpUBWwIkPlu+dXdiAC9YVMXOy0C3FlhT8vW0HVozc+KOfd4CWCOn99dinphFrxd+Qs9mlIXyvvamGCQns0wqKD9VTvXlhF8Df3emP3FKZH5X11WJUerMPUEXR/t3KpRORRBQG3UZP0tfO//TnzZcWsCWnX9NXRWE5B7bsGbanECnPpWkqnTqLddvGMQyg2R2HmEd5QJl+Mr83vfMcGJKFyzrB1xMeDQ4/ua+f/6er3VrN3HrxAwGJ4oFh9J18snQktPvYwmYERHsDbtMF2vr30R0SW9ne6/cPo/nL6VQab3p134XjPr+k0VeQL+B6F+cuM=AQAAAACAAADAKwAA3CAAAA==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AQAAAACAAADAKwAArRoAAA==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AQAAAACAAADAKwAAiiAAAA==eJw9WnVclcnXv0ELCIiN3bp2ssYZY8XuxM5VXHv1Zwd2Ync3KgZ2nsFWQrrr0s0tLg3vMzPPu/zDR4TnPjNzzrfOjBj46myPof7YLeNRq7RdOsg57Wu7+qEjGeiZ8v3cO0fSdEGB+6ABahIcMSWv8zsFufrAJ3qOSUlqzfsc1mGRGblz8UvTJ2sqwVbVYV+dmFJYudPsq1fXcnDIfvVY/beSNGti/GfK1mo4t8JpF/1VAcVp865H9qiEvsrRu+3GKkmPTi5WP1WF8PzH+o9XGxih2nez/sk4A2TAraSP9koyb9KENtcOaKH1RPObJ/6sgrZtYicPK/2Kbn06bgiZGonxUTvXDnVWkwOhick1ThpBekjnhJYKMjc9uHncRktiG7iuwVLvALw7a1T3hNxTcG/qr25fnmpgwMZp93oGRkHjcb3SbQp/gepqk6FWXrn4fHrRm9iDehj60lAZvqEU3Nk/K43wetr4XUvrFUDQ7df3894FgdgAo/y9FGynJ+S4ZhfCH+EXMhq1UYp9Wm9Jbn/wq9t6ooIcz98CPRMtyTT28Y8UpNIz4cny8dkwY4vNDp1tLsxdP7ZxHY8y2Nsn8uvyHiqiqzljU4+IV7DO/dXA/FcvUTzPiray2Hl68KEi7ONwwnxUcgGm7boSeP93GNY3m2Lf0deAVfZ/7RxwvBBd/3JbU1pTh40b7twwC/Pg8alF+xfMMoK0+YV9/ioD14JT9pHVMdg66Z+1CzYFwdKeLQueGjVQY2irdaoLRrg4mX1iKRDTpuLvm3Pg689K6cmfYMZTzLvSzwB9k8YeObuiAkxnE07u26ODnxn3Nx798Ri6jLpjM7RVEa45eDRN36QYpZdpMzyqAHxWFF0yfswA8DZlbwh4gvc9xw+/vEMHtbaEGWOU+8D3cuHdbyN/4666W82XfisEftzKYtAUPExYf70A3d/lD1p7OQM3BpBFFeXZ8CpEkaiy/oamAq/i+6fTwOt+6/1va2qgnb/D97evyzHCeknzfzao6GJp1fFDNagf+HtxRKYBu7xrU7NGTzWdfrPxjZBGhVj78Igcsx45qLnQt2zOo6fA66a0GD9MONPs6LpS/PV5kM/SRHMq1mPCOZsXD99xIR8PbP5ja5ZnBnxfYNE+NSkFxi/eNarbmgywTul3if57EFY3tEvueKwMJ3dp710r2IisytY4xuDCgFkjf1gW4oCsmIdlM4txbpPLb/XT02HQTNfNfz/fgxM6jEpaZvUIo6WyPmXSobTIg00W2NIL56Wv+mb0mdSdh+Ks6FhWeBOVdP2d4I1HZuXjaMPRif+2rIbF/KsS3gXPvHv8zFvc7PzITbPJBHX5hqXDmdOtb1+LS4B6zfrF9pmfB5fG7d8x+F4kKI5vK/9zlV7s+04lqTtsXEW9tWbEKHVBdutyuOwoVfJZFVkQ/sI0YPILvK8LHT3fQYf9+EZV41ELbZ1h40rlfatCDgdBarrp9h+DXXLLwdIqI0u3OQ56PZns+VVD0bbv4eHbO/tA7oorOccuasCrwo+uLcwCvr3u8SAVqVTAWsjy6CCVWCXMGpfU7a5/NsRffhHXqUeE/DkZeHPdpJ4Dw79C68oPzo17XET21lFORXjpRos3FftyMazWmQ0k5ge4tp13J39ODI5gQHVGTRfyAtbjadYW8RnI4Wy6I327zLr0WqYZPbVvj3vYeyUtvfb3s5y1Kmr40cS2X3EoTJVQsE1Nf3gWesv5381Z+OcJ/+3DQEFFvxjw1yS/e7fGlGK7fLuPXeor6JdW3y+H+uXhB+9he57uScEflv2lX03FE1BvQ0F/igt1ps0fpiwHj8TVUoVlAKuWIdGRwLponSoecdgS/zfOMVi8LvmS4+1y2LpRaQrxToAKb3YA4XiyZ06zBglJqFvACisB5wy88HTJnyFwyuPq0e+2sRhU4WHvEOCHB3J8dvo4ZeG4T6Pi0DcW3x/fmFbTIgU5vGeZsCc/IH/IXDmomcq+ECZ7mEiHLplo92BDC8OPHNQtSd3/oiQcb/zFgLEY77T5Q7fDNw5dGVztMKJW6t7eByRcqu3d5aVDKA43djuYfkaDix74t1N2vY6rf66++++TcAxlbXvQgBve7C/88jAHJXB/osmuRsEPxXjdKarro9f78dHL+dtj+pfBjmG4tVEfPXS1eujivrBcxuVCKNvm8f7fk0XwV/vDHc1c0yDxJDuwEqh5qfuN572N4LCp14MBU/Xwv46MgXQQ93l227l9X2MP49hVT2+kwnDH+lN0Q0OBl31QJgreqEZleVb46d+ReHsMazAj/j1vbN+Kni9A1IEJRD8XyfhohPwr/STILwexrhIY3W1NHdPzCMgvYsAUCLs6M0As+X9cgV09FoT8uz4UL8wJVHq6xuPgarO6HTwoft557I+5qiQI77Cofso0Bbl13/pGgfoHvM7+ve3W/lTMLGcHXoL/4y9aghXlh2tYDvoF26aaVc/4mQlrRz5ottqrEG7H3k3tqk4AgXt6eE0YkRdDi7hSacdSoMvCdQ8yb+VD7M/kthvXZcDRdQypCmCH56HaPc/lyTxUBRKJS1tnTnryRlSSburTusLuH+H5UQa0EXCyHiMcHX4ynew6IOAobOUHpsdy/4KfnwfpUQLXL0HOwdhgX9ms6Au3IXIFQ6Qo5PRiVSyfdxVyOvunGseEHJ9Z9dmCinM2oUQuTruIgla+Z42Tjskf7aWT1cEkrx6vfTrewu6as2UbJ/oBP+6SVOzi5pUUZyzAlm23HX6zrBg5Da2rxCZ7cse/bvwVlV2uDBxcHY7i939BReoHj0WfsvHCy+2Lbg9Phmvs+C10UKee79uItb9A4T36UnxhMo6czhi5BKWHSsDwW/CWQkHEediSrdBz9tvhCjIubXhoz5Pf4UVttgOFKPa/DMjojjNyD8WDpsZJb8/xFcDpxrEaWp6tPratPAgFzyWh0EkmCJNQdZprMbwd06Lj6Vc5UPQ3TBiyV4O1v9XxdDmVg/bXRwQ2XpKFNxm8GbXgUzZz+dcqBRG8Vwb/8gcrSD0umIrh0cLvQ5vOLoSkZPYCNkTwiIoIftHCj3PvzhyrWQwvd28JfjZdRcS+lcKyRZ86Fxk08OVppxU3lRWQvcjZv6NPjlz3KjJjEGMwBZnmypSbCS4+HF8zJOsTTOUCwYgrtXt+TvIrkXmhCjIb3c0a1qkCpA+1mHPOBI0mj3ZY10TCc6bfTlXB+NiGW+atcSQcB2/VIuLnZqTuhdweoRPiwOLdvLgbAcF4Lr6tb+S4GyA1iURpRpBEpCRtJJ3FaGa+HUnp2zX367hwmM4JT4eSuGpQ1iYPLwSNsXD7+RukTW1xqU64zF9FKL+v3Nfx0HNo7j0Pz0jYmN1aKsUyYOrzyTw1Ebyih60tW/W39fEFgYuFoOtUV3f5XBpymRQRCsM0myTGrYa9PxkRVELe3uWHujXMwCGH/sksb6eiL+5s/N7uTxsq+N+A2oPJ2zvEaFBqhut/vSxFj3oDmt8Zko9lFxkxFyKX57lp2IBvUJXok8FZ4JmZ+LnV9xwYy4XdB1QzmVCgRcEfljRoPxPEIeh6NuW+b2EiirrTy7zph90YMP5rSadwIsiX8duCzp2+dILN2zzcm/HnkeeTcmVdoCAX/scYtQTEAZuR0ppM4BdB4LQely/bamAJF7hK0lmqlvfmJuBts7wIlh390PaQ7RZcyQVJFvZt9GOTR9EieHM74tjr76HQ+v4ri5cjpHVu9b/U6VAC6me/6KY5ewGvFs5y7Ro7XfCgpzkVfaJDJ2f4Fv+iArvzwjSgn2uLEZt3lWDXoKTdg8yysTkHND1IzSwhiwkYG/atnw5cHl+uwreSml9UbMC/IzIlZWFEr15Hpx0am4Uzmw6UKNSAwm9UotD9peg2udaQBMsM3MPaoygQwpjN8E6FgE1dT9XKT0ah8yrQfO9DSeFqUPR5CTqmXdt9/uVvdHNvv9KtTyp+rWLGxoZmeZadcZX0GnM3l7qrKJdZUcFYY3Os5vHPt7ie0fwHLXDZdkpJOnCBXQr1TodbL7mhoHmULViHLlvmdZvcRYdnfuv7ve6bDVzveyko+zPnRwrK6/cPcyrwPxl3tv609+7USizUnEgdk53zn8/hNqi8IeVyPrQJfTtcEkjfnSmve40F5TQaZ025L4h1oH8PWbpS+9WJiv6sSYWOr8DDDo2XuzwNwg01GAIboZ+zedmQK+EonlOG7NR293OQ9aAeOx86EPj9RTp+sdKEfHMMw2fM9i0zyvWpxV9eE38nWM+DM9YY/vtiFj5RZx5um6+k45dJlTjfgTL3+DjckXI91cSScl7Zr6Ij+Q+caOjKOZZB583p3CcNX3b8lYeHpFNP05hRrgui7CmXy1OdaS8mYOc1pccY3SU1oF+Y3H/qQnkZza1D90oqMHWSE+3GAaIGDWnOiNRF6PAZjegZib0y+7pQroPH1KecbvaU47ZGfaStqkk5Hf10osIv16AFQbHL617IBv535Rb0LoODEzUp99HdHMR3vQVlNvJuVh3acnsXbfzmAmxeaZIUYKV8bnaU66DXjnTJTOYEU1DgTREEv17VtGWNXNk/WFIvaZlnwYkio8/n9pT7+r72VOCUIxX7YkFLJqbevvhFh1eYDXulpvFD1dJRGrFR03M3v0s8eLF/sI3t9CxocOjOs5N+GbhyYePSXTtT8fboiP6+b3zB8MCVdHGLAfedzR7M6B8CNTjQ6UH4rlzsrWjo0OzRQxD9VICMveKiKlDaXedGP8uQoZf7IKPwW7OVlMcPZ8wpU39/D6nCjtwgWlLGtraetSjHQ42a5q6VGHekheyLbWlKNgswnCiPFx6nYMLs0Ho+NwtxiaTeXtSuwkr2sUpLwlbbtIuKCH1mLeNbJbw3lxBmqBkVesCccnxRKymHpwMfQPjANAjrsmXIqAMBWNqVBSc1yONWzIkbgMuXvgnA3Hf2qwrk7eBqR7lMsNUhU/8POirpZGYTSBkKPlST3JReDWicvcgLwiyJyBXKgPffDD9YygnVngy1YogVh2KfC7Gj1E0pvd7ii94lnxbeN6OSOVyiWFkCKRZbttVrlojhg3u83RWdjNdL2ItWgM9NJixzgX98rXIM7MsYxYzsdlocW3U6U85PLEktfnB6Oa9Ryn1bheZcGDrI51KBHtx4asU6omuLeqtWUkGXRf/5fLeM45LjCRd6bYOCOnHCU5CXkXWtl7v6g9CNWjjSlhknJS38yQrBgk5kcLA6H6suMIERDwxl6lx9CZ/G63Nc1MHA6fpeqow7BuzdgM5o6mdOBA4YsG5MUPHEBWrC+dfbAOJ5GlzGgVWHHG4HWtHtoyPv7VuSjB0Y0GbZkuVc4FXBORZvuBtln2SE68wGvFCQ/UP/59B3Yipw+fq3Fa1uxhq0FH6mw62kAY7EUVJjRywUZBUnYh18Lmo70+uTQdYZBvjY5Xz7eqcrwZ4TuAmYq+twNQ8Ym3UOMCdVc5PfFK/S4LnYCZYb+18DL6nqQleWwkq+cRZU9I0FrRpclp9LLSj7s1F3JP7nhtSMitypTM5NEmEfkyEL42ExP9By4P70vBY5vjkXi77YWY41eJCViyJnSMWj5P2jOU9yMPl62+A2eg1y+x6gAWkx0orUhMPIPHMiifqGVxLNCLdn3g5EwYNAMxI1PsJsfHEW2LA4ZlMJXpnNlKolFXrEgSqZbbpqR9m/er1Xy3iuJu8h8cGU1omwgRv5CuS64x8bKvyIFZWKv82HlZlo3ZA9MRxonmTEJlkRHhPMDxX8Ka2Ly3B1KIg8yJxw/mhuSepJVXc2JRK5Xq6yoVzGXtXLPGmE9b3HrvsRWACf6jIhbUCRa9lR/jqWjnTR/bmTJty1pvy5JeZU+HGTrHer0YU3dBUekFxu3cEaFPlbmawDFZTbtqOFArdb2tIoFstZ1qfbmR394Uy5XFlpR1lc2GlFMdoyWTHcnroxWM5yoDzHeqEQudD5IpE3nC9F5m4+LbSk0mZLHaug3BYcScaopbdu69fnYB8GE8lqahlUX0JQS5o9rFN1s62OIucwqOlsLgBqUHteoJY0TaqydCgR/VLLmorcKxF3/DFkHz3+HCTz1C7L9A23cYOUh704oOjA/J73omVbjyOX0S5a4DlWqhUZJIww9OGEkQUinyqRfYsJJDXSd8x4BUl8snz84l25OPPn0SPkfRCIfkqHCRK75o4vBsGPlXBiJusAPfbY8Yp4zlfSaS4s8QgHwSc6ZG52tEGHXO6dzYJ5nMjLBM7dsiDmnCASZNyrlPODXPC/zoIOFRX5ST4unyI53BRzyl9DWwnWbMM8rMl+FhOlqgnPKTY4EQdmiExWZD0Thj5qMp2arUgIDINXzxs4FU8Lhz2tWOL8FjPvBPaxG39a7rMy4PGPXg8iB4iBvhw41EScpwHTYsdJEvc9ijotApaat17lj1yvrLYgAlcl3OB4YE14/PY/C8Jxa4kF4ThjZSt+3tuR8NzC3VnwTkNnwnEbnYnQOZZiHeur4SGLnb0cCPdZ6bZEAnOpQyrB9VJphEvTFKhYPvZYdIGv7Guz4P9z6JdxnXpELU0Fd6drd874ZILIJw3Qr7hxJ9eCPJj057TqzC4J2IofWCFw3JXeM2xfp3srz6eA8EV+IHKzWOS5+l0DABeaBXA1zf7ij4DbwOOEhkaI/itE3WTXHlANW56Sti0JWnKBUQLPLBlTRgGn0adZ8PbDra7uboU4V/WqIMP7IwYw2vHJAuFjv6PVqdFvPr1Lln1OOggerILPC1nDFwHXc9ZVYMNk6cFCOUfNhUyFn0v/bf4YxejsbAY28qp/7/D2KBjJgU0rzxti4HP0oGO7nDTyXEFF1nLjpCRC333FWcuZU/gGrvM7DjCnofBxt4195/1P5DwwCEd91jp2bZUGgm+Ksf23UskpBsAiYYiRVcPBo1rkdGBTjR8ZDZiXIceNe3aUy9JCcyry+2LkdZyjoFUs5u1ajZNYIzqYUcIMiouKfjg8X7Jq+Tjr7vEzv+ICgY93iq3podVVrZ2b56FN1M1V/W2MuNHCrrLWzFgIX9T1aenrSFzCDVEK3AyKH/yp+BHmYdDoi6t94R6zmQO1OISVqWsJvpiUeHSVezKKnKFU+NTjNpTXmYUFLR3DnNYD3KtuJrVSuFzvlbLuqpJ1sQ01l3a5X387gVvnasi+qhQPqrY2H3uiAPZ67W93fIg/TPVd0MLhcT7ysrmiokKHFiGD3f2hWuQ2MEFFOY9aOdEr7f6dveDsE9lf65F/nGMVCB9mgKWc6EyQ1PujKeBEOgr9qaSibsrw3Dg/jbnjG3RU7ht3e3EevGKx5sZI+H3t+nbPQ1H47UZ23sJVX2D0COb0I4HD774UqLz6ectGZSb04YarTPatP/DBbzaI02Ot1+skhkrHwVNebRqzKR3ceaDtjwefaKQ3SMVuPFDPQq9V7tobjwOAy4v0ApBEmfRiRSByq0QQuiof2FtNu2eEpwx2R6UDj2VPZwjcmx+F8UvYQhPE/GKfgk48brOgxsBg5Lbb5S1EX5kudXoBZOs2X6zKy5RxvRRs9lj12d0+BoTeKgfmgurPtyYsva1nZoJaF72WDf6aDz9ypvweXpgp602t0L1xFoTr1ttqwtyf3UcbInSzHVnIaH1DsfzcYljAF6ADea4izwstiJoLwyLgvLrfAP+fK4l5pSUR+aMFEXM0BZnLYtlN8fBcxXb20X85yMHpnfeuuRGF4vNjkPN/m1J5TqWHKeFzG+z1+oKbKhLvQHkKDH0aH+oxLFnOl6vAcs65UbUlX+x9tXdt7y6x8nsYYHgn1snlwHnykooIH2MEnltesRDrHqAkgpfNhd7SmBOWvmTaWhIuw2pakX9YI3dXktF8oCXxKQ8iy6E2o+9bEeDLYhCXGGSuZmdtBXHdXsvGcVUkCv5ORda1vSZFYu7XcWOeP8jCnb9rttjt9g4eNrmY5lZxA5tP8o5R+8TjRbXZWmPJVxB5cCr4srZ9r0OBY3GwidnZkWYkfkH24Lrh2XCMtV3nbIxeeGTT/qEx2DN0wsa+n9KwKTfoRixrwyarObj00LItrcsf/5dfHy5hjR8P2/iGpWHwkGitcUQl6t5u81sRXQDJHY9dK+majhP+YMyaK+t/Ez6cNG58UYcj2In9d0YskphTHd77Z2A5i0l9DSD8r4p83DfyaN/bOSDmFOHgx+I3Q6DsZ6xI0Yjpe/tMMSNMhf9cnStytlQV6cpke3gxeDJ7bVEFNSOrXQPOpsHq/gwJI+C8dmTle+9s+Ksokk6xLoBN9wev2NuwAARelQHn2e3WhMPfTSsi/Ho4th0eNepjzC8U+U0V6Fk8Oc0EgQHsy4bYcwOsIqJ/LAi3mUkOhOu8zzUIz7PWm5PdrIwnWxKRLxtgDhd6Opg6l3VYjjxPMwBv6+0GiG7vl7Iq4zOeyfRLmP4uBL7klpm/m/cb9l9mwBcCHLZqZstzxVB5flmOTCX/6pYBrXs1idp7MB3LpOqR7BcEbJeE0GU1Se3FjFi1PLcpg91uDd0efg1BMY//At5+PWybOGbDn427j6tfrYH8YUWX55y6Jt8f0KGN8UC/4W+/wRU27osKg38GPLKrnZqF9ThwxiDXLTMSZb+ThFtep72e+GcobFz51G303JXAj6VuJoh7AWUwSmKduelGGedKgc/TWlkQgf8GmD1cPzNp3zN5/qFDrr8LdSCZifmG1WHAZcupWOA5UZNKFH1YJeern4DH4WVG5Li2W02FX6hGfs4ttCjOXSH7YhP6f+zgWe0TgHwsY1QTjnvPrYgjD6TKZF1RADweGFUtzw9KoQEfYGmgfvWA1E87M+TcUAO8zZMM0JgDeg7M4kKwCCKPpris+/cSeN4rV9zqFSPjTzYKfDSJ+xOnSrGwIZtsJ8P9C01zBiiyILy5W9LwJ1vxKhtvZRQjp/moVBRz0Fh88XnOyZ45uSj60IQb5kceun4pAE807/Yw5UgiSk2+1O9QJIr5ZxaKeasOuHx/XQZvjjCjpCBi/pwPlzQssCiA+x3XHYva9UK+LxAB0iIlQRyNwxewyVMimGY5VqxslSrPE0L+u6fx/tn6uD0ZGcBuG4z6mAt8G5sZQejzCui/bWXY1cp0kHNNInIGC3KuB0sQ4uX9yQZu+1blgkeM+5yWz6OQ0/JQjaw7jCh0uglbV0yAle2D8dedmZpZnZKByzZ9PrDp6fURCeA88+E9P4nP+7FxxJg8+Z5GORJmaysK4RbbzpvFcp5sBHHuCvLy+vxLaJ0BXK+11cKL5L/mDLyQjQJ3spDH37tTUNzjMKccdvrbyr7NnIr8W0U5PxwuQqFrS+X5TgYIfacgfP42QkX4+S5WE3HvpwrEfZ8q4LFSAzMicFdN+Bh1iiPh+YqyLmEyaVYNJ8L9Y6U9EXrUhgj/rAUxfygBu6MnpmbWywaBB3oQOVIxiDmBFeF18ENNRE6oJMKfqeT8RQtHalgO8t3hB54up7qEmQpgX5V1pynhhVCd53bwx5NsYNPftvMigV/n+PJRztmLIMxjmERB7zB9274b5Goy8vHEbB2eYcs8VC586SVLoYMLHCiHtf6OlJ9HOxUVuWAVijosQDFPUFIhs/XyHL8SRR5jR/l5fDWjfIz3SCVySlUp8nsaYeVy3m/C8HDfFx+HFQCnnSn52MTe6caWgc9AzC3zUeRAGSjywkp5TmpOxZy3EDO/GXe3avwDVq/BweOvRcGdQf2cOo99jOaHPp+fE6gR/n6uDrbf2m/7YMNv4NerWmdiw3dDJEYKxnYb1x1VxiSA0oNV+G5s/CXI+c/HCbhBW8syuPAV5rH4OjcDRY5ZicJ3V6O4l6SmH1jstMicivlaBYp5ZQnGM7t3Kw1XccKpxLe1P3n8Me8NTvva8LxbVSSy1OhxRjyK+zK5yMdUWhP2Ws9uJuTiwQe/JETMk+s7EfkYNvQzCn2klfkwDmLVPvRYRCpEh9lvHx2ZjK/Y+LZdOIj8qgRFvqDDRrzhP6DQH+9k/EqB16wt2pbK+qsauEx4VAJCH1TJ9zuM8j2mMhC6WyvjTTnw+qlhRoSfshK+/7UZqcMDzFIQ84FqcQ/sbjkwlWU1+Rs+7b4naFneL1i8+5Vls6ZeYNeAKZ8kWPPFfYvNjq/YntmMe2koeDYSTH8NmhF0Oxe3Pgs8km0dhnsns0GdP5Ys8x3af0gCiLmBighdaUHE3NmSCJ+NqOBf0dhbYuXe11Ph0vIVo8ZOy4FMb/s39VfEA7/vp1aRme52Bzb/kQciPyyT56al/90HErmWDhpxg5EHvP8HBuIKPpgNhWNXmu/bf/EB8lzthl6uu3x5H4rkufxnWO7T2Sl2TRrwX2thgA1nmra49skb/hEGFALTLkpvGAK7WFx8R0Vq8gFCFZhYbLrOTOQUM6yJmD9Xw8Nj+pMeV2NB5IwmEPduKkDo1BzYOeN/hkn70kDog2LguijCjAh/VSVypBAl4bmhpOc4LSxVEDF/Msr5aBEw1RDcXEFEXxfLOcZ34NcJzCJkX6Eg4r6IknBYcyoCQxMmcHUgfIsWpk25cMpzRQbUnrBtQn5YFgo/rxW8MNZC4I63DeUxc4ySiP4rlnlMvoehNyfiPkIpNOPBUqZ8f+sb9p9vjB809T50SPzRT28ZIevzTHyyhglzLTJ3qugZiDrHrq1OZOUD9/eXtNDEcWLzA7M1sk7SyniRjueoz7uN9zNwBhe02Xh99/mX2xeFwJhNSSWx3TNgHBcgP1F62CJn/0AQ84V0ePx05KSVdtHyfaMAbM4Fajoek1xen+3+KPi4CFk3OEVkY935RW71LJ5AmV6Vd3Pidzlvfoc+daIXNL/tDdeYXHmpkXP7FBRzZQNy2dMgENaz619bg2FT/a9rRj7IgW7ubMIUhYLPvuO5uuyGXSYKfv6C7RXfui/J+oz3GjGhFIVCX2uhIw+ECmW9kQ6R7LprmxLgful0KXTMW7oPW6fKftwIIcd0bU9rT4Eitb6kyEIhLIZdqAlDkZsVg+DBLPleiRFWnQ9b1PVpFvzDL1xGw6DTF/oH26SitwdTHhSRycGFyaj8GPd+9YQl4MIvrsVBURwDqmjk92kz0+BB5q3iI48L4cnDHu3MEzT4f7/Aq5E=AQAAAACAAADAKwAAxhUAAA==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AQAAAACAAADAKwAAIgAAAA==eJztwTEBAAAAwqD1T20LL6AAAAAAAAAAAAAAgJcBK8AAAQ==AQAAAACAAADAKwAAIgAAAA==eJztwTEBAAAAwqD1T20LL6AAAAAAAAAAAAAAgJcBK8AAAQ==AQAAAACAAAAERwAA0w0AAA==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AgAAAACAAAAALwAADBMAABsHAAA=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AQAAAACAAADAKwAAYwcAAA==eJw12qG7OQCaBeC7O2bX7NgdO2ueRxAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAE4QbhBkEQNtz395X3b/jOOYGv3wsyxDAjjDLGOBNMMsU0M8wyxzwLLLLEMiusssY6G2yyxTY77LLHPgcccsQxJ5xyxjkXXHLFNTfccsc9DzzyxDMvvPLGOx/85pM/fPHND7/+7ZcAgwwxzAijjDHOBJNMMc0Ms8wxzwKLLLHMCqussc4Gm2yxzQ677LHPAYccccwJp5xxzgWXXHHNDbfccc8DjzzxzAuvvPHOB7/55A9ffPPDr3//JcAgQwwzwihjjDPBJFNMM8Msc8yzwCJLLLPCKmuss8EmW2yzwy577HPAIUccc8IpZ5xzwSVXXHPDLXfc88AjTzzzwitvvPPBbz75wxff/PDrL78EGGSIYUYYZYxxJphkimlmmGWOeRZYZIllVlhljXU22GSLbXbYZY99DjjkiGNOOOWMcy645IprbrjljnseeOSJZ1545Y13PvjNJ3/44psffgXAIEMMM8IoY4wzwSRTTDPDLHPMs8AiSyyzwiprrLPBJltss8Mue+xzwCFHHHPCKWecc8ElV1xzwy133PPAI08888Irb7zzwW8++cMX3/zw66+/BBhkiGFGGGWMcSaYZIppZphljnkWWGSJZVZYZY11Nthki2122GWPfQ445IhjTjjljHMuuOSKa2645Y57HnjkiWdeeOWNdz74zSd/+OKbH379xy8BBhlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZY50NNtlimx122WOfAw454pgTTjnjnAsuueKaG265454HHnnimRdeeeOdD37zyR+++OaHX//5S4BBhhhmhFHGGGeCSaaYZoZZ5phngUWWWGaFVdZYZ4NNtthmh1322OeAQ4445oRTzjjngkuuuOaGW+6454FHnnjmhVfeeOeD33zyhy+++eGfhz/AIEMMM8IoY4wzwSRTTDPDLHPMs8AiSyyzwiprrLPBJltss8Mue+xzwCFHHHPCKWecc8ElV1xzwy133PPAI08888Irb7zzwW8++cMX3/z8CXr+9kuAQYYYZoRRxhhngkmmmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEOOOOaEU84454JLrrjmhlvuuOeBR5545oVX3njng9988ocvvvnh13/9EmCQIYYZYZQxxplgkimmmWGWOeZZYJEllllhlTXW2WCTLbbZYZc99jngkCOOOeGUM8654JIrrrnhljvueeCRJ5554ZU33vngN5/84Ytvfvj1918CDDLEMCOMMsY4E0wyxTQzzDLHPAssssQyK6yyxjobbLLFNjvsssc+BxxyxDEnnHLGORdccsU1N9xyxz0PPPLEMy+88sY7H/zmkz988c0P/wT9AQYZYpgRRhljnAkmmWKaGWaZY54FFllimRVWWWOdDTbZYpsddtljnwMOOeKYE04545wLLrnimhtuueOeBx554pkXXnnjnQ9+88kfvvjm50/B89+/BBhkiGFGGGWMcSaYZIppZphljnkWWGSJZVZYZY11Nthki2122GWPfQ445IhjTjjljHMuuOSKa2645Y57HnjkiWdeeOWNdz74zSd/+OKbH379zy8BBhlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZY50NNtlimx122WOfAw454pgTTjnjnAsuueKaG265454HHnnimRdeeeOdD37zyR+++OaHX//4JcAgQwwzwihjjDPBJFNMM8Msc8yzwCJLLLPCKmuss8EmW2yzwy577HPAIUccc8IpZ5xzwSVXXHPDLXfc88AjTzzzwitvvPPBbz75wxff/PBPwR9gkCGGGWGUMcaZYJIppplhljnmWWCRJZZZYZU11tlgky222WGXPfY54JAjjjnhlDPOueCSK6654ZY77nngkSeeeeGVN9754Def/OGLb37+DDv+95cAgwwxzAijjDHOBJNMMc0Ms8wxzwKLLLHMCqussc4Gm2yxzQ677LHPAYccccwJp5xxzgWXXHHNDbfccc8DjzzxzAuvvPHOB7/55A9ffPPDr3/+EmCQIYYZYZQxxplgkimmmWGWOeZZYJEllllhlTXW2WCTLbbZYZc99jngkCOOOeGUM8654JIrrrnhljvueeCRJ5554ZU33vngN5/84Ytvfvj1f78EGGSIYUYYZYxxJphkimlmmGWOeRZYZIllVlhljXU22GSLbXbYZY99DjjkiGNOOOWMcy645IprbrjljnseeOSJZ1545Y13PvjNJ3/44psf/hn2BRhkiGFGGGWMcSaYZIppZphljnkWWGSJZVZYZY11Nthki2122GWPfQ445IhjTjjljHMuuOSKa2645Y57HnjkiWdeeOWNdz74zSd/+OKbnz+Dzn/9EmCQIYYZYZQxxplgkimmmWGWOeZZYJEllllhlTXW2WCTLbbZYZc99jngkCOOOeGUM8654JIrrrnhljvueeCRJ5554ZU33vn/3bHnvA==AQAAAACAAAB4BQAAFAAAAA==eJzj5BwFo2AUjIJRQE8AALsOMTk=
|
| 34 |
+
</AppendedData>
|
| 35 |
+
</VTKFile>
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_8_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/Grid_9_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
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CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/grid/final-grid.dat
ADDED
|
The diff for this file is too large to render.
See raw diff
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CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/log.sparta
ADDED
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@@ -0,0 +1,319 @@
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|
| 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 0.14
|
| 17 |
+
variable Ma equal 4.300000000000001
|
| 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 0.14*${L}
|
| 23 |
+
variable mfp equal 0.14*1
|
| 24 |
+
variable cpmfp equal 4
|
| 25 |
+
variable nden equal 1.0/sqrt(2.0)/${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}*${Kn})
|
| 29 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.14/${cpmfp}*${Kn})
|
| 30 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.14/4*${Kn})
|
| 31 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.14/4*0.14)
|
| 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 4.3*${sos}
|
| 38 |
+
variable vo equal 4.3*307.815564238681
|
| 39 |
+
variable vx equal ${vo}*cos(${theta}*2*PI/360)
|
| 40 |
+
variable vx equal 1323.60692622633*cos(${theta}*2*PI/360)
|
| 41 |
+
variable vx equal 1323.60692622633*cos(0*2*PI/360)
|
| 42 |
+
variable vy equal ${vo}*sin(${theta}*2*PI/360)
|
| 43 |
+
variable vy equal 1323.60692622633*sin(${theta}*2*PI/360)
|
| 44 |
+
variable vy equal 1323.60692622633*sin(0*2*PI/360)
|
| 45 |
+
variable ppc equal 30
|
| 46 |
+
variable xncells equal (${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)/0.14*${cpmfp}
|
| 50 |
+
variable xncells equal (6--5)/0.14*4
|
| 51 |
+
variable yncells equal (${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)/0.14*${cpmfp}
|
| 55 |
+
variable yncells equal (5--5)/0.14*4
|
| 56 |
+
variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 57 |
+
variable Fnum equal 2.64159929186054e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 58 |
+
variable Fnum equal 2.64159929186054e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 59 |
+
variable Fnum equal 2.64159929186054e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 60 |
+
variable Fnum equal 2.64159929186054e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
|
| 61 |
+
variable Fnum equal 2.64159929186054e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
|
| 62 |
+
variable Fnum equal 2.64159929186054e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
|
| 63 |
+
variable Fnum equal 2.64159929186054e+20*(6--5)*(5--5)/30/314.285714285714/${yncells}
|
| 64 |
+
variable Fnum equal 2.64159929186054e+20*(6--5)*(5--5)/30/314.285714285714/285.714285714286
|
| 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}/${xncells}/10/4
|
| 68 |
+
variable tstep equal (--5+6)/1323.60692622633/${xncells}/10/4
|
| 69 |
+
variable tstep equal (--5+6)/1323.60692622633/314.285714285714/10/4
|
| 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 2.64159929186054e+20
|
| 81 |
+
global fnum ${Fnum}
|
| 82 |
+
global fnum 1.07865304417639e+16
|
| 83 |
+
timestep ${tstep}
|
| 84 |
+
timestep 6.61072394426546e-07
|
| 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 314.285714285714 ${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 314.285714285714 285.714285714286 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 388281 child grid cells
|
| 100 |
+
CPU time = 0.309232 secs
|
| 101 |
+
create/ghost percent = 0.812483 99.1875
|
| 102 |
+
balance_grid rcb cell
|
| 103 |
+
Balance grid migrated 387525 cells
|
| 104 |
+
CPU time = 0.242543 secs
|
| 105 |
+
reassign/sort/migrate/ghost percent = 25.6185 0.0408175 7.33709 67.0036
|
| 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 1323.60692622633 ${vy} 0.0 temp ${To}
|
| 110 |
+
mixture air Ar vstream 1323.60692622633 0 0.0 temp ${To}
|
| 111 |
+
mixture air Ar vstream 1323.60692622633 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 |
+
912 0 = cells overlapping surfs, overlap cells with unmarked corner pts
|
| 121 |
+
346955 40414 912 = cells outside/inside/overlapping surfs
|
| 122 |
+
912 = surf cells with 1,2,etc splits
|
| 123 |
+
109.215 109.215 = cell-wise and global flow volume
|
| 124 |
+
CPU time = 0.364323 secs
|
| 125 |
+
read/check/sort/surf2grid/ghost/inout/particle percent = 10.9456 6.68324 0.766724 10.6518 70.9527 2.14619 6.32536
|
| 126 |
+
surf2grid time = 0.0388069 secs
|
| 127 |
+
map/comm1/comm2/comm3/comm4/split percent = 25.7814 16.3142 18.1431 1.12135 7.39435 4.08068
|
| 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 3809 cells
|
| 133 |
+
CPU time = 0.191378 secs
|
| 134 |
+
reassign/sort/migrate/ghost percent = 6.09321 0.0249924 4.63272 89.2491
|
| 135 |
+
create_particles air n 0
|
| 136 |
+
WARNING: Created unexpected # of particles: 2674643 versus 2674646 (../create_particles.cpp:346)
|
| 137 |
+
Created 2674643 particles
|
| 138 |
+
CPU time = 0.0420596 secs
|
| 139 |
+
stats 10000
|
| 140 |
+
stats_style step cpu np nattempt ncoll nscoll npave nscollave
|
| 141 |
+
run 200000
|
| 142 |
+
Memory usage per proc in Mbytes:
|
| 143 |
+
particles (ave,min,max) = 3.2168 0 10.125
|
| 144 |
+
grid (ave,min,max) = 13.712 2.45129 26.3888
|
| 145 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 146 |
+
total (ave,min,max) = 16.9494 7.72189 32.2219
|
| 147 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 148 |
+
0 0 2674643 0 0 0 0 0
|
| 149 |
+
10000 85.182626 2754523 109491 92701 43 2686965.6 35.053
|
| 150 |
+
20000 224.54649 2924186 122738 105178 33 2775936.9 35.43745
|
| 151 |
+
30000 378.27449 2947495 124846 107300 40 2830440.6 35.608433
|
| 152 |
+
40000 537.11196 2952648 125102 107105 40 2860601.8 35.757125
|
| 153 |
+
50000 693.68723 2953159 125015 107211 44 2879139.2 35.83132
|
| 154 |
+
60000 850.88587 2953044 125296 107431 32 2891464.7 35.866967
|
| 155 |
+
70000 1008.0254 2953165 125122 107414 36 2900341.3 35.928157
|
| 156 |
+
80000 1164.7213 2952531 125144 107233 32 2906958.4 35.947975
|
| 157 |
+
90000 1323.587 2950991 124423 106873 42 2912039.4 35.969356
|
| 158 |
+
100000 1479.7673 2953554 125162 107339 26 2916178.1 35.9893
|
| 159 |
+
110000 1636.7519 2955301 125265 107572 35 2919662.5 36.010509
|
| 160 |
+
120000 1793.7125 2954629 125373 107607 38 2922636.5 36.031908
|
| 161 |
+
130000 1951.2482 2954818 125004 107275 29 2925080.9 36.032869
|
| 162 |
+
140000 2108.1354 2953413 125043 107397 38 2927216.9 36.046471
|
| 163 |
+
150000 2266.1226 2952421 125006 107255 48 2928916.3 36.04978
|
| 164 |
+
160000 2423.3359 2951697 124981 107385 47 2930397.1 36.06185
|
| 165 |
+
170000 2579.9308 2954770 125173 107187 47 2931758.8 36.067206
|
| 166 |
+
180000 2737.1375 2955138 125027 107219 34 2933037.1 36.0683
|
| 167 |
+
190000 2893.5779 2952980 124941 107332 37 2934168.9 36.076432
|
| 168 |
+
200000 3050.4669 2952249 124917 107114 29 2935135.7 36.08459
|
| 169 |
+
Loop time of 3050.47 on 128 procs for 200000 steps with 2952249 particles
|
| 170 |
+
|
| 171 |
+
MPI task timing breakdown:
|
| 172 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 173 |
+
---------------------------------------------------------------
|
| 174 |
+
Move | 0.028519 | 96.173 | 559.49 |1183.0 | 3.15
|
| 175 |
+
Coll | 1.8888 | 188.71 | 1887.1 |2349.0 | 6.19
|
| 176 |
+
Sort | 0.73532 | 60.566 | 360.24 |1105.8 | 1.99
|
| 177 |
+
Comm | 149.63 | 188.05 | 204.49 | 89.0 | 6.16
|
| 178 |
+
Modify | 0.027163 | 0.6244 | 9.7231 | 189.8 | 0.02
|
| 179 |
+
Output | 0.0071835 | 0.17546 | 0.19736 | 8.3 | 0.01
|
| 180 |
+
Other | | 2516 | | | 82.48
|
| 181 |
+
|
| 182 |
+
Particle moves = 587027147483 (587B)
|
| 183 |
+
Cells touched = 613889797494 (614B)
|
| 184 |
+
Particle comms = 492690566 (493M)
|
| 185 |
+
Boundary collides = 0 (0K)
|
| 186 |
+
Boundary exits = 49352515 (49.4M)
|
| 187 |
+
SurfColl checks = 334751432 (335M)
|
| 188 |
+
SurfColl occurs = 7216918 (7.22M)
|
| 189 |
+
Surf reactions = 0 (0K)
|
| 190 |
+
Collide attempts = 29164690177 (29.2B)
|
| 191 |
+
Collide occurs = 22057703773 (22.1B)
|
| 192 |
+
Reactions = 0 (0K)
|
| 193 |
+
Particles stuck = 0
|
| 194 |
+
Axisymm bad moves = 0
|
| 195 |
+
|
| 196 |
+
Particle-moves/CPUsec/proc: 1.50342e+06
|
| 197 |
+
Particle-moves/step: 2.93514e+06
|
| 198 |
+
Cell-touches/particle/step: 1.04576
|
| 199 |
+
Particle comm iterations/step: 1
|
| 200 |
+
Particle fraction communicated: 0.000839298
|
| 201 |
+
Particle fraction colliding with boundary: 0
|
| 202 |
+
Particle fraction exiting boundary: 8.40719e-05
|
| 203 |
+
Surface-checks/particle/step: 0.000570249
|
| 204 |
+
Surface-collisions/particle/step: 1.2294e-05
|
| 205 |
+
Surf-reactions/particle/step: 0
|
| 206 |
+
Collision-attempts/particle/step: 0.049682
|
| 207 |
+
Collisions/particle/step: 0.0375753
|
| 208 |
+
Reactions/particle/step: 0
|
| 209 |
+
|
| 210 |
+
Particles: 23064.4 ave 155763 max 0 min
|
| 211 |
+
Histogram: 84 14 4 10 6 6 0 0 2 2
|
| 212 |
+
Cells: 3033.45 ave 3034 max 3033 min
|
| 213 |
+
Histogram: 71 0 0 0 0 0 0 0 0 57
|
| 214 |
+
GhostCell: 77934.3 ave 143096 max 4166 min
|
| 215 |
+
Histogram: 23 7 12 10 18 2 6 4 16 30
|
| 216 |
+
EmptyCell: 94.6406 ave 580 max 0 min
|
| 217 |
+
Histogram: 75 6 12 7 23 0 1 1 1 2
|
| 218 |
+
Surfs: 200 ave 200 max 200 min
|
| 219 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 220 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 221 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 222 |
+
compute 1 grid all air n nrho massrho u v w
|
| 223 |
+
compute 2 grid all air trot
|
| 224 |
+
compute 3 tvib/grid all air
|
| 225 |
+
compute 4 thermal/grid all air press temp
|
| 226 |
+
fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 227 |
+
fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 228 |
+
fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 229 |
+
dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
|
| 230 |
+
dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
|
| 231 |
+
dump_modify 1 format float %12.5g
|
| 232 |
+
compute 5 surf all air n press px py shx shy fx fy etot erot evib
|
| 233 |
+
fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
|
| 234 |
+
fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
|
| 235 |
+
fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
|
| 236 |
+
dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 237 |
+
dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 238 |
+
dump_modify 2 format float %12.5g
|
| 239 |
+
compute 6 lambda/grid f_1[2] f_1[8] Ar kx
|
| 240 |
+
dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
|
| 241 |
+
dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
|
| 242 |
+
dump_modify 3 format float %12.5g
|
| 243 |
+
run 100000
|
| 244 |
+
Memory usage per proc in Mbytes:
|
| 245 |
+
particles (ave,min,max) = 3.52002 0 16.875
|
| 246 |
+
grid (ave,min,max) = 13.712 2.45129 26.3888
|
| 247 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 248 |
+
total (ave,min,max) = 18.2712 8.74039 33.2404
|
| 249 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 250 |
+
200000 0 2952249 124917 107114 0 0 0
|
| 251 |
+
210000 247.00178 2952782 124792 107088 42 2953172.9 36.2152
|
| 252 |
+
220000 493.64001 2954155 125419 107486 40 2953428.8 36.1555
|
| 253 |
+
230000 739.76373 2953566 125146 107540 51 2953474.3 36.1317
|
| 254 |
+
240000 986.51099 2954646 125103 107206 41 2953487.4 36.138175
|
| 255 |
+
250000 1224.5098 2953298 124825 107233 34 2953652.9 36.13516
|
| 256 |
+
260000 1461.4695 2952668 124888 107067 38 2953521.6 36.143333
|
| 257 |
+
270000 1696.7373 2953271 125262 107473 32 2953567.1 36.127557
|
| 258 |
+
280000 1934.2478 2953852 124929 107201 44 2953619.5 36.140338
|
| 259 |
+
290000 2170.7708 2954797 124752 107139 36 2953716.2 36.1538
|
| 260 |
+
300000 2407.653 2955305 125358 107422 44 2953896.3 36.15312
|
| 261 |
+
Loop time of 2407.65 on 128 procs for 100000 steps with 2955305 particles
|
| 262 |
+
|
| 263 |
+
MPI task timing breakdown:
|
| 264 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 265 |
+
---------------------------------------------------------------
|
| 266 |
+
Move | 0.020857 | 48.979 | 283.37 | 810.9 | 2.03
|
| 267 |
+
Coll | 0.99717 | 101.35 | 1061.2 |1716.6 | 4.21
|
| 268 |
+
Sort | 1.7883 | 35.86 | 194.32 | 776.2 | 1.49
|
| 269 |
+
Comm | 78.666 | 100.25 | 109.37 | 66.6 | 4.16
|
| 270 |
+
Modify | 16.438 | 129.29 | 711.95 |1361.9 | 5.37
|
| 271 |
+
Output | 0.21378 | 0.21806 | 0.22284 | 0.5 | 0.01
|
| 272 |
+
Other | | 1992 | | | 82.72
|
| 273 |
+
|
| 274 |
+
Particle moves = 295389631004 (295B)
|
| 275 |
+
Cells touched = 308879519472 (309B)
|
| 276 |
+
Particle comms = 247295707 (247M)
|
| 277 |
+
Boundary collides = 0 (0K)
|
| 278 |
+
Boundary exits = 24813821 (24.8M)
|
| 279 |
+
SurfColl checks = 167741260 (168M)
|
| 280 |
+
SurfColl occurs = 3615312 (3.62M)
|
| 281 |
+
Surf reactions = 0 (0K)
|
| 282 |
+
Collide attempts = 14843472745 (14.8B)
|
| 283 |
+
Collide occurs = 11220390386 (11.2B)
|
| 284 |
+
Reactions = 0 (0K)
|
| 285 |
+
Particles stuck = 0
|
| 286 |
+
Axisymm bad moves = 0
|
| 287 |
+
|
| 288 |
+
Particle-moves/CPUsec/proc: 958498
|
| 289 |
+
Particle-moves/step: 2.9539e+06
|
| 290 |
+
Cell-touches/particle/step: 1.04567
|
| 291 |
+
Particle comm iterations/step: 1
|
| 292 |
+
Particle fraction communicated: 0.000837185
|
| 293 |
+
Particle fraction colliding with boundary: 0
|
| 294 |
+
Particle fraction exiting boundary: 8.40037e-05
|
| 295 |
+
Surface-checks/particle/step: 0.000567864
|
| 296 |
+
Surface-collisions/particle/step: 1.22391e-05
|
| 297 |
+
Surf-reactions/particle/step: 0
|
| 298 |
+
Collision-attempts/particle/step: 0.0502505
|
| 299 |
+
Collisions/particle/step: 0.0379851
|
| 300 |
+
Reactions/particle/step: 0
|
| 301 |
+
|
| 302 |
+
Particles: 23088.3 ave 156321 max 0 min
|
| 303 |
+
Histogram: 84 14 4 10 6 6 0 0 2 2
|
| 304 |
+
Cells: 3033.45 ave 3034 max 3033 min
|
| 305 |
+
Histogram: 71 0 0 0 0 0 0 0 0 57
|
| 306 |
+
GhostCell: 77934.3 ave 143096 max 4166 min
|
| 307 |
+
Histogram: 23 7 12 10 18 2 6 4 16 30
|
| 308 |
+
EmptyCell: 94.6406 ave 580 max 0 min
|
| 309 |
+
Histogram: 75 6 12 7 23 0 1 1 1 2
|
| 310 |
+
Surfs: 200 ave 200 max 200 min
|
| 311 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 312 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 313 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 314 |
+
write_grid grid/final-grid.dat
|
| 315 |
+
grid cells = 388281
|
| 316 |
+
CPU time = 0.0506486 secs
|
| 317 |
+
write_surf surf/geom.surf
|
| 318 |
+
surf elements = 200
|
| 319 |
+
CPU time = 0.00361525 secs
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/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/Kn0p14/simulation0224_Kn0p14Ma4p3/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 0.01445 0.66272 -0.66264 0.01041 -6.2268e-05 -0.0039638 -0.010409 0.00010125 48.181 0 0
|
| 11 |
+
129 -0.31871 0.38526 -0.30645 0.39508 0.28532 13.265 8.2936 -10.352 1.281 1.0263 0.15039 -0.14648 1406.4 0 0
|
| 12 |
+
2 0.49975 -0.015705 0.49901 -0.031395 0.01495 0.68504 -0.68428 0.03227 -0.00041806 -0.008865 -0.010755 0.00036763 47.227 0 0
|
| 13 |
+
130 -0.30645 0.39508 -0.29389 0.40451 0.2702 12.587 7.5573 -10.065 1.259 0.94527 0.13848 -0.14325 1304.3 0 0
|
| 14 |
+
3 0.49901 -0.031395 0.49778 -0.047054 0.01481 0.67336 -0.67129 0.052831 0.00015465 0.0019651 -0.010542 0.00086071 55.879 0 0
|
| 15 |
+
131 -0.29389 0.40451 -0.28104 0.41354 0.25646 11.925 6.8567 -9.7561 1.2923 0.90823 0.128 -0.13898 1280.4 0 0
|
| 16 |
+
4 0.49778 -0.047054 0.49606 -0.062667 0.01465 0.65626 -0.65229 0.072014 -0.0012458 -0.011284 -0.010265 0.0009539 46.554 0 0
|
| 17 |
+
132 -0.28104 0.41354 -0.26791 0.42216 0.24326 11.302 6.2053 -9.4466 1.2506 0.82152 0.11711 -0.13548 1208.3 0 0
|
| 18 |
+
5 0.49606 -0.062667 0.49384 -0.078217 0.01457 0.65412 -0.64759 0.092166 -0.00075448 -0.0053012 -0.010184 0.0013644 45.951 0 0
|
| 19 |
+
133 -0.26791 0.42216 -0.25452 0.43037 0.23049 10.709 5.5955 -9.1311 1.2494 0.76564 0.10752 -0.1314 1157.6 0 0
|
| 20 |
+
6 0.49384 -0.078217 0.49114 -0.093691 0.01436 0.64173 -0.63217 0.11033 -0.0047977 -0.02749 -0.010005 0.0013012 38.609 0 0
|
| 21 |
+
134 -0.25452 0.43037 -0.24088 0.43815 0.21972 10.141 5.0244 -8.8087 1.2513 0.71372 0.098574 -0.12715 1066.7 0 0
|
| 22 |
+
7 0.49114 -0.093691 0.48796 -0.10907 0.0137 0.6095 -0.59684 0.1236 -0.0056346 -0.027208 -0.0094632 0.001514 42.107 0 0
|
| 23 |
+
135 -0.24088 0.43815 -0.227 0.4455 0.20699 9.5852 4.4852 -8.4711 1.2358 0.65431 0.089861 -0.12278 1036.4 0 0
|
| 24 |
+
8 0.48796 -0.10907 0.48429 -0.12434 0.01389 0.62345 -0.60622 0.14554 -0.0047403 -0.019745 -0.0095966 0.0019759 48.787 0 0
|
| 25 |
+
136 -0.227 0.4455 -0.21289 0.45241 0.197 9.0878 3.9981 -8.1611 1.2518 0.61324 0.082461 -0.11856 969.11 0 0
|
| 26 |
+
9 0.48429 -0.12434 0.48015 -0.1395 0.01265 0.56448 -0.54447 0.14895 -0.0053386 -0.019514 -0.0086361 0.0020331 39.234 0 0
|
| 27 |
+
137 -0.21289 0.45241 -0.19857 0.45888 0.18213 8.4256 3.4673 -7.6791 1.2687 0.57286 0.07439 -0.11162 916.83 0 0
|
| 28 |
+
10 0.48015 -0.1395 0.47553 -0.15451 0.0125 0.55924 -0.53452 0.16444 -0.0055653 -0.01809 -0.0084833 0.0022988 41.728 0 0
|
| 29 |
+
138 -0.19857 0.45888 -0.18406 0.46489 0.17133 7.9474 3.0413 -7.3424 1.2066 0.49981 0.066724 -0.10748 855.9 0 0
|
| 30 |
+
11 0.47553 -0.15451 0.47044 -0.16937 0.01278 0.58406 -0.55257 0.18919 -0.0053762 -0.015702 -0.0087638 0.002725 47.187 0 0
|
| 31 |
+
139 -0.18406 0.46489 -0.16937 0.47044 0.16033 7.3852 2.6105 -6.9084 1.2179 0.46022 0.060134 -0.10128 807.92 0 0
|
| 32 |
+
12 0.47044 -0.16937 0.46489 -0.18406 0.01122 0.50871 -0.47587 0.17982 -0.0050265 -0.013302 -0.0075536 0.0026155 41.559 0 0
|
| 33 |
+
140 -0.16937 0.47044 -0.15451 0.47553 0.14842 6.8917 2.2324 -6.5202 1.1628 0.3981 0.053328 -0.096161 730.67 0 0
|
| 34 |
+
13 0.46489 -0.18406 0.45888 -0.19857 0.01104 0.49475 -0.45709 0.18933 -0.0017993 -0.0043439 -0.0072079 0.0029057 41.908 0 0
|
| 35 |
+
141 -0.15451 0.47553 -0.1395 0.48015 0.13945 6.4442 1.8948 -6.1593 1.1694 0.35975 0.048131 -0.091095 725.9 0 0
|
| 36 |
+
14 0.45888 -0.19857 0.45241 -0.21289 0.01027 0.45814 -0.41755 0.18853 0.0042172 0.0093401 -0.0064924 0.003108 35.385 0 0
|
| 37 |
+
142 -0.1395 0.48015 -0.12434 0.48429 0.12864 5.9252 1.5635 -5.7152 1.0603 0.29007 0.041213 -0.085214 647.84 0 0
|
| 38 |
+
15 0.45241 -0.21289 0.4455 -0.227 0.00972 0.42682 -0.3833 0.18777 0.0031892 0.00651 -0.0059705 0.0030517 34.052 0 0
|
| 39 |
+
143 -0.12434 0.48429 -0.10907 0.48796 0.12174 5.6271 1.3136 -5.4717 1.1112 0.26677 0.038087 -0.081755 622.04 0 0
|
| 40 |
+
16 0.4455 -0.227 0.43815 -0.24088 0.00963 0.43016 -0.38016 0.20129 0.011664 0.02203 -0.0057882 0.0035077 37.029 0 0
|
| 41 |
+
144 -0.10907 0.48796 -0.093691 0.49114 0.11189 5.1723 1.0489 -5.0648 1.0229 0.21182 0.032541 -0.076227 570.4 0 0
|
| 42 |
+
17 0.43815 -0.24088 0.43037 -0.25452 0.00818 0.35603 -0.30926 0.1764 0.010985 0.019258 -0.0046851 0.0030732 29.83 0 0
|
| 43 |
+
145 -0.093691 0.49114 -0.078217 0.49384 0.10412 4.8026 0.8257 -4.7311 1.0307 0.17989 0.029159 -0.071487 551.71 0 0
|
| 44 |
+
18 0.43037 -0.25452 0.42216 -0.26791 0.00857 0.37165 -0.31689 0.19419 0.015658 0.025552 -0.0047315 0.0034515 35.707 0 0
|
| 45 |
+
146 -0.078217 0.49384 -0.062667 0.49606 0.09417 4.3742 0.61633 -4.3306 0.98442 0.1401 0.025144 -0.065821 500.3 0 0
|
| 46 |
+
19 0.42216 -0.26791 0.41354 -0.28104 0.0074 0.31751 -0.26538 0.17432 0.038775 0.059029 -0.0035593 0.0036653 29.862 0 0
|
| 47 |
+
147 -0.062667 0.49606 -0.047054 0.49778 0.08823 4.0726 0.4469 -4.048 0.91246 0.10074 0.021352 -0.062 479.51 0 0
|
| 48 |
+
20 0.41354 -0.28104 0.40451 -0.29389 0.00698 0.30059 -0.24592 0.17284 0.037918 0.053951 -0.0032672 0.0035623 32.963 0 0
|
| 49 |
+
148 -0.047054 0.49778 -0.031395 0.49901 0.0828 3.8048 0.29852 -3.7931 0.91548 0.07205 0.019069 -0.058448 432.54 0 0
|
| 50 |
+
21 0.40451 -0.29389 0.39508 -0.30645 0.00676 0.29135 -0.23299 0.17493 0.048734 0.064908 -0.0028942 0.0037673 31.495 0 0
|
| 51 |
+
149 -0.031395 0.49901 -0.015705 0.49975 0.07554 3.4726 0.16358 -3.4687 0.8617 0.040637 0.016104 -0.053846 405.05 0 0
|
| 52 |
+
22 0.39508 -0.30645 0.38526 -0.31871 0.00656 0.27779 -0.2168 0.17369 0.056915 0.071041 -0.0025114 0.0038441 30.799 0 0
|
| 53 |
+
150 -0.015705 0.49975 0 0.5 0.06892 3.1778 0.049914 -3.1774 0.86011 0.013512 0.014294 -0.049696 378.98 0 0
|
| 54 |
+
23 0.38526 -0.31871 0.37506 -0.33066 0.00653 0.274 -0.20835 0.17795 0.06456 0.07559 -0.0022586 0.0039824 35.506 0 0
|
| 55 |
+
151 0 0.5 0.015705 0.49975 0.06479 2.9624 -0.046531 -2.962 0.79952 -0.01256 0.011828 -0.046722 354.06 0 0
|
| 56 |
+
24 0.37506 -0.33066 0.36448 -0.34227 0.0066 0.27819 -0.20576 0.18722 0.087615 0.096288 -0.0018557 0.0044532 36.962 0 0
|
| 57 |
+
152 0.015705 0.49975 0.031395 0.49901 0.05682 2.5925 -0.12212 -2.5896 0.7075 -0.033365 0.0091946 -0.0412 304.55 0 0
|
| 58 |
+
25 0.36448 -0.34227 0.35355 -0.35355 0.00639 0.26288 -0.18878 0.18294 0.08868 0.09151 -0.0015723 0.0043109 38.714 0 0
|
| 59 |
+
153 0.031395 0.49901 0.047054 0.49778 0.05337 2.4547 -0.19259 -2.4471 0.68192 -0.053668 0.007686 -0.039281 295.9 0 0
|
| 60 |
+
26 0.35355 -0.35355 0.34227 -0.36448 0.00748 0.31182 -0.217 0.22393 0.11443 0.11089 -0.0016111 0.0052591 48.51 0 0
|
| 61 |
+
154 0.047054 0.49778 0.062667 0.49606 0.04829 2.2112 -0.24265 -2.1979 0.67988 -0.075059 0.0068677 -0.035702 276.5 0 0
|
| 62 |
+
27 0.34227 -0.36448 0.33066 -0.37506 0.00745 0.30462 -0.20501 0.22531 0.11942 0.10867 -0.0013444 0.0052458 39.981 0 0
|
| 63 |
+
155 0.062667 0.49606 0.078217 0.49384 0.04633 2.1147 -0.29797 -2.0936 0.62999 -0.089661 0.0052153 -0.034293 259.98 0 0
|
| 64 |
+
28 0.33066 -0.37506 0.31871 -0.38526 0.00789 0.34019 -0.22094 0.25868 0.12703 0.10849 -0.0014751 0.0057673 46.371 0 0
|
| 65 |
+
156 0.078217 0.49384 0.093691 0.49114 0.04151 1.8735 -0.32211 -1.8456 0.60023 -0.10476 0.0043685 -0.030635 232.01 0 0
|
| 66 |
+
29 0.31871 -0.38526 0.30645 -0.39508 0.00801 0.33863 -0.21173 0.26428 0.14635 0.11725 -0.0010269 0.0059928 51.684 0 0
|
| 67 |
+
157 0.093691 0.49114 0.10907 0.48796 0.03866 1.7452 -0.3539 -1.7089 0.55431 -0.11479 0.0031479 -0.028645 229.62 0 0
|
| 68 |
+
30 0.30645 -0.39508 0.29389 -0.40451 0.00971 0.41006 -0.24621 0.32792 0.17342 0.13021 -0.0011433 0.0071959 62.134 0 0
|
| 69 |
+
158 0.10907 0.48796 0.12434 0.48429 0.03531 1.5903 -0.37124 -1.5463 0.53682 -0.12888 0.0026008 -0.026313 203.29 0 0
|
| 70 |
+
31 0.29389 -0.40451 0.28104 -0.41354 0.01088 0.46223 -0.26579 0.37817 0.1866 0.13114 -0.0012438 0.008 66.113 0 0
|
| 71 |
+
159 0.12434 0.48429 0.1395 0.48015 0.03143 1.4098 -0.37201 -1.3598 0.48862 -0.13367 0.0018316 -0.023459 179.9 0 0
|
| 72 |
+
32 0.28104 -0.41354 0.26791 -0.42216 0.01175 0.50106 -0.27509 0.41879 0.20268 0.13313 -0.0011375 0.0086693 71.423 0 0
|
| 73 |
+
160 0.1395 0.48015 0.15451 0.47553 0.02899 1.302 -0.38284 -1.2444 0.46804 -0.14399 0.0013383 -0.021809 165.9 0 0
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| 74 |
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| 77 |
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162 0.16937 0.47044 0.18406 0.46489 0.02402 1.0616 -0.37524 -0.99305 0.3947 -0.14915 0.00030567 -0.017941 139.23 0 0
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163 0.18406 0.46489 0.19857 0.45888 0.02165 0.958 -0.36661 -0.88508 0.39038 -0.1617 0.00037339 -0.016442 136.24 0 0
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104 -0.49778 0.047054 -0.49606 0.062667 0.59574 27.595 27.428 -3.0281 0.034997 0.317 0.43138 -0.042585 2678.7 0 0
|
| 186 |
+
105 -0.49606 0.062667 -0.49384 0.078217 0.58574 27.161 26.89 -3.8271 0.066885 0.46996 0.42342 -0.052731 2749.1 0 0
|
| 187 |
+
106 -0.49384 0.078217 -0.49114 0.093691 0.58409 26.983 26.581 -4.6391 0.10572 0.60574 0.41918 -0.063354 2659.8 0 0
|
| 188 |
+
107 -0.49114 0.093691 -0.48796 0.10907 0.57304 26.585 26.033 -5.3911 0.13689 0.66103 0.41105 -0.074297 2679.4 0 0
|
| 189 |
+
108 -0.48796 0.10907 -0.48429 0.12434 0.56783 26.344 25.616 -6.1499 0.18467 0.76922 0.40526 -0.084516 2695.7 0 0
|
| 190 |
+
109 -0.48429 0.12434 -0.48015 0.1395 0.56122 25.995 25.074 -6.8595 0.22913 0.83756 0.39744 -0.094588 2605.1 0 0
|
| 191 |
+
110 -0.48015 0.1395 -0.47553 0.15451 0.55047 25.582 24.451 -7.5222 0.26856 0.87296 0.38828 -0.10444 2571.3 0 0
|
| 192 |
+
111 -0.47553 0.15451 -0.47044 0.16937 0.54618 25.181 23.823 -8.1565 0.35352 1.0326 0.37975 -0.1119 2488.7 0 0
|
| 193 |
+
112 -0.47044 0.16937 -0.46489 0.18406 0.53122 24.571 22.985 -8.6852 0.40062 1.0602 0.36732 -0.11977 2460.4 0 0
|
| 194 |
+
113 -0.46489 0.18406 -0.45888 0.19857 0.51673 23.946 22.124 -9.1639 0.48048 1.16 0.35505 -0.12572 2409.2 0 0
|
| 195 |
+
114 -0.45888 0.19857 -0.45241 0.21289 0.51055 23.626 21.533 -9.7226 0.50962 1.1287 0.34623 -0.13499 2379.2 0 0
|
| 196 |
+
115 -0.45241 0.21289 -0.4455 0.227 0.49387 22.935 20.596 -10.09 0.56696 1.1573 0.33242 -0.14031 2292.7 0 0
|
| 197 |
+
116 -0.4455 0.227 -0.43815 0.24088 0.48173 22.346 19.748 -10.456 0.62521 1.1808 0.32001 -0.14569 2236 0 0
|
| 198 |
+
117 -0.43815 0.24088 -0.43037 0.25452 0.47025 21.742 18.886 -10.772 0.73821 1.2942 0.30825 -0.14888 2156.9 0 0
|
| 199 |
+
118 -0.43037 0.25452 -0.42216 0.26791 0.45031 20.957 17.869 -10.95 0.76267 1.2446 0.29265 -0.15245 2148.6 0 0
|
| 200 |
+
119 -0.42216 0.26791 -0.41354 0.28104 0.44035 20.334 16.995 -11.164 0.82911 1.2622 0.27997 -0.15552 2024.8 0 0
|
| 201 |
+
120 -0.41354 0.28104 -0.40451 0.29389 0.42409 19.636 16.065 -11.291 0.87067 1.2388 0.26601 -0.15789 1986.9 0 0
|
| 202 |
+
121 -0.40451 0.29389 -0.39508 0.30645 0.40735 18.875 15.094 -11.333 0.94819 1.2629 0.25198 -0.15817 1925.6 0 0
|
| 203 |
+
122 -0.39508 0.30645 -0.38526 0.31871 0.39393 18.283 14.269 -11.431 0.99019 1.236 0.23968 -0.16014 1871.8 0 0
|
| 204 |
+
123 -0.38526 0.31871 -0.37506 0.33066 0.38033 17.54 13.337 -11.391 1.043 1.2211 0.22587 -0.15974 1751.5 0 0
|
| 205 |
+
124 -0.37506 0.33066 -0.36448 0.34227 0.36342 16.804 12.429 -11.309 1.1262 1.2377 0.21291 -0.15819 1716.9 0 0
|
| 206 |
+
125 -0.36448 0.34227 -0.35355 0.35355 0.34552 16.1 11.562 -11.204 1.0791 1.1136 0.19855 -0.15849 1661 0 0
|
| 207 |
+
126 -0.35355 0.35355 -0.34227 0.36448 0.33484 15.57 10.835 -11.181 1.1779 1.1414 0.18869 -0.1577 1609.9 0 0
|
| 208 |
+
127 -0.34227 0.36448 -0.33066 0.37506 0.32288 14.913 10.036 -11.03 1.2038 1.0954 0.17655 -0.15604 1551.5 0 0
|
| 209 |
+
128 -0.33066 0.37506 -0.31871 0.38526 0.30338 14.016 9.1028 -10.658 1.2301 1.0506 0.1623 -0.15091 1419.2 0 0
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/runmpirun128.sh
ADDED
|
@@ -0,0 +1,18 @@
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|
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|
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|
|
|
| 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/Kn0p14/simulation0224_Kn0p14Ma4p3/runmpirun64.sh
ADDED
|
@@ -0,0 +1,18 @@
|
|
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|
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|
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|
|
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|
|
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|
|
|
|
|
| 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/Kn0p14/simulation0224_Kn0p14Ma4p3/slurm-28428420.out
ADDED
|
@@ -0,0 +1,221 @@
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|
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|
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|
|
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|
|
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|
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|
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|
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|
|
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|
|
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|
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|
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|
|
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|
|
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|
|
|
|
|
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|
|
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|
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|
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|
|
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|
|
|
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|
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|
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|
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|
|
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|
|
|
|
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|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 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 388281 child grid cells
|
| 6 |
+
CPU time = 0.309232 secs
|
| 7 |
+
create/ghost percent = 0.812483 99.1875
|
| 8 |
+
Balance grid migrated 387525 cells
|
| 9 |
+
CPU time = 0.242543 secs
|
| 10 |
+
reassign/sort/migrate/ghost percent = 25.6185 0.0408175 7.33709 67.0036
|
| 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 |
+
912 0 = cells overlapping surfs, overlap cells with unmarked corner pts
|
| 18 |
+
346955 40414 912 = cells outside/inside/overlapping surfs
|
| 19 |
+
912 = surf cells with 1,2,etc splits
|
| 20 |
+
109.214731023049 109.214731023047 = cell-wise and global flow volume
|
| 21 |
+
CPU time = 0.364323 secs
|
| 22 |
+
read/check/sort/surf2grid/ghost/inout/particle percent = 10.9456 6.68324 0.766724 10.6518 70.9527 2.14619 6.32536
|
| 23 |
+
surf2grid time = 0.0388069 secs
|
| 24 |
+
map/comm1/comm2/comm3/comm4/split percent = 25.7814 16.3142 18.1431 1.12135 7.39435 4.08068
|
| 25 |
+
Balance grid migrated 3809 cells
|
| 26 |
+
CPU time = 0.191378 secs
|
| 27 |
+
reassign/sort/migrate/ghost percent = 6.09321 0.0249924 4.63272 89.2491
|
| 28 |
+
Creating particles ...
|
| 29 |
+
WARNING: Created unexpected # of particles: 2674643 versus 2674646 (../create_particles.cpp:346)
|
| 30 |
+
Created 2674643 particles
|
| 31 |
+
CPU time = 0.0420596 secs
|
| 32 |
+
Memory usage per proc in Mbytes:
|
| 33 |
+
particles (ave,min,max) = 3.2168 0 10.125
|
| 34 |
+
grid (ave,min,max) = 13.712 2.45129 26.3888
|
| 35 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 36 |
+
total (ave,min,max) = 16.9494 7.72189 32.2219
|
| 37 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 38 |
+
0 0 2674643 0 0 0 0 0
|
| 39 |
+
10000 85.182626 2754523 109491 92701 43 2686965.6 35.053
|
| 40 |
+
20000 224.54649 2924186 122738 105178 33 2775936.9 35.43745
|
| 41 |
+
30000 378.27449 2947495 124846 107300 40 2830440.6 35.608433
|
| 42 |
+
40000 537.11196 2952648 125102 107105 40 2860601.8 35.757125
|
| 43 |
+
50000 693.68723 2953159 125015 107211 44 2879139.2 35.83132
|
| 44 |
+
60000 850.88587 2953044 125296 107431 32 2891464.7 35.866967
|
| 45 |
+
70000 1008.0254 2953165 125122 107414 36 2900341.3 35.928157
|
| 46 |
+
80000 1164.7213 2952531 125144 107233 32 2906958.4 35.947975
|
| 47 |
+
90000 1323.587 2950991 124423 106873 42 2912039.4 35.969356
|
| 48 |
+
100000 1479.7673 2953554 125162 107339 26 2916178.1 35.9893
|
| 49 |
+
110000 1636.7519 2955301 125265 107572 35 2919662.5 36.010509
|
| 50 |
+
120000 1793.7125 2954629 125373 107607 38 2922636.5 36.031908
|
| 51 |
+
130000 1951.2482 2954818 125004 107275 29 2925080.9 36.032869
|
| 52 |
+
140000 2108.1354 2953413 125043 107397 38 2927216.9 36.046471
|
| 53 |
+
150000 2266.1226 2952421 125006 107255 48 2928916.3 36.04978
|
| 54 |
+
160000 2423.3359 2951697 124981 107385 47 2930397.1 36.06185
|
| 55 |
+
170000 2579.9308 2954770 125173 107187 47 2931758.8 36.067206
|
| 56 |
+
180000 2737.1375 2955138 125027 107219 34 2933037.1 36.0683
|
| 57 |
+
190000 2893.5779 2952980 124941 107332 37 2934168.9 36.076432
|
| 58 |
+
200000 3050.4669 2952249 124917 107114 29 2935135.7 36.08459
|
| 59 |
+
Loop time of 3050.47 on 128 procs for 200000 steps with 2952249 particles
|
| 60 |
+
|
| 61 |
+
MPI task timing breakdown:
|
| 62 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 63 |
+
---------------------------------------------------------------
|
| 64 |
+
Move | 0.028519 | 96.173 | 559.49 |1183.0 | 3.15
|
| 65 |
+
Coll | 1.8888 | 188.71 | 1887.1 |2349.0 | 6.19
|
| 66 |
+
Sort | 0.73532 | 60.566 | 360.24 |1105.8 | 1.99
|
| 67 |
+
Comm | 149.63 | 188.05 | 204.49 | 89.0 | 6.16
|
| 68 |
+
Modify | 0.027163 | 0.6244 | 9.7231 | 189.8 | 0.02
|
| 69 |
+
Output | 0.0071835 | 0.17546 | 0.19736 | 8.3 | 0.01
|
| 70 |
+
Other | | 2516 | | | 82.48
|
| 71 |
+
|
| 72 |
+
Particle moves = 587027147483 (587B)
|
| 73 |
+
Cells touched = 613889797494 (614B)
|
| 74 |
+
Particle comms = 492690566 (493M)
|
| 75 |
+
Boundary collides = 0 (0K)
|
| 76 |
+
Boundary exits = 49352515 (49.4M)
|
| 77 |
+
SurfColl checks = 334751432 (335M)
|
| 78 |
+
SurfColl occurs = 7216918 (7.22M)
|
| 79 |
+
Surf reactions = 0 (0K)
|
| 80 |
+
Collide attempts = 29164690177 (29.2B)
|
| 81 |
+
Collide occurs = 22057703773 (22.1B)
|
| 82 |
+
Gas reactions = 0 (0K)
|
| 83 |
+
Particles stuck = 0
|
| 84 |
+
Axisymm bad moves = 0
|
| 85 |
+
|
| 86 |
+
Particle-moves/CPUsec/proc: 1.50342e+06
|
| 87 |
+
Particle-moves/step: 2.93514e+06
|
| 88 |
+
Cell-touches/particle/step: 1.04576
|
| 89 |
+
Particle comm iterations/step: 1
|
| 90 |
+
Particle fraction communicated: 0.000839298
|
| 91 |
+
Particle fraction colliding with boundary: 0
|
| 92 |
+
Particle fraction exiting boundary: 8.40719e-05
|
| 93 |
+
Surface-checks/particle/step: 0.000570249
|
| 94 |
+
Surface-collisions/particle/step: 1.2294e-05
|
| 95 |
+
Surface-reactions/particle/step: 0
|
| 96 |
+
Collision-attempts/particle/step: 0.049682
|
| 97 |
+
Collisions/particle/step: 0.0375753
|
| 98 |
+
Gas-reactions/particle/step: 0
|
| 99 |
+
|
| 100 |
+
Particles: 23064.4 ave 155763 max 0 min
|
| 101 |
+
Histogram: 84 14 4 10 6 6 0 0 2 2
|
| 102 |
+
Cells: 3033.45 ave 3034 max 3033 min
|
| 103 |
+
Histogram: 71 0 0 0 0 0 0 0 0 57
|
| 104 |
+
GhostCell: 77934.3 ave 143096 max 4166 min
|
| 105 |
+
Histogram: 23 7 12 10 18 2 6 4 16 30
|
| 106 |
+
EmptyCell: 94.6406 ave 580 max 0 min
|
| 107 |
+
Histogram: 75 6 12 7 23 0 1 1 1 2
|
| 108 |
+
Surfs: 200 ave 200 max 200 min
|
| 109 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 110 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 111 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 112 |
+
Memory usage per proc in Mbytes:
|
| 113 |
+
particles (ave,min,max) = 3.52002 0 16.875
|
| 114 |
+
grid (ave,min,max) = 13.712 2.45129 26.3888
|
| 115 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 116 |
+
total (ave,min,max) = 18.2712 8.74039 33.2404
|
| 117 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 118 |
+
200000 0 2952249 124917 107114 0 0 0
|
| 119 |
+
210000 247.00178 2952782 124792 107088 42 2953172.9 36.2152
|
| 120 |
+
220000 493.64001 2954155 125419 107486 40 2953428.8 36.1555
|
| 121 |
+
230000 739.76373 2953566 125146 107540 51 2953474.3 36.1317
|
| 122 |
+
240000 986.51099 2954646 125103 107206 41 2953487.4 36.138175
|
| 123 |
+
250000 1224.5098 2953298 124825 107233 34 2953652.9 36.13516
|
| 124 |
+
260000 1461.4695 2952668 124888 107067 38 2953521.6 36.143333
|
| 125 |
+
270000 1696.7373 2953271 125262 107473 32 2953567.1 36.127557
|
| 126 |
+
280000 1934.2478 2953852 124929 107201 44 2953619.5 36.140338
|
| 127 |
+
290000 2170.7708 2954797 124752 107139 36 2953716.2 36.1538
|
| 128 |
+
300000 2407.653 2955305 125358 107422 44 2953896.3 36.15312
|
| 129 |
+
Loop time of 2407.65 on 128 procs for 100000 steps with 2955305 particles
|
| 130 |
+
|
| 131 |
+
MPI task timing breakdown:
|
| 132 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 133 |
+
---------------------------------------------------------------
|
| 134 |
+
Move | 0.020857 | 48.979 | 283.37 | 810.9 | 2.03
|
| 135 |
+
Coll | 0.99717 | 101.35 | 1061.2 |1716.6 | 4.21
|
| 136 |
+
Sort | 1.7883 | 35.86 | 194.32 | 776.2 | 1.49
|
| 137 |
+
Comm | 78.666 | 100.25 | 109.37 | 66.6 | 4.16
|
| 138 |
+
Modify | 16.438 | 129.29 | 711.95 |1361.9 | 5.37
|
| 139 |
+
Output | 0.21378 | 0.21806 | 0.22284 | 0.5 | 0.01
|
| 140 |
+
Other | | 1992 | | | 82.72
|
| 141 |
+
|
| 142 |
+
Particle moves = 295389631004 (295B)
|
| 143 |
+
Cells touched = 308879519472 (309B)
|
| 144 |
+
Particle comms = 247295707 (247M)
|
| 145 |
+
Boundary collides = 0 (0K)
|
| 146 |
+
Boundary exits = 24813821 (24.8M)
|
| 147 |
+
SurfColl checks = 167741260 (168M)
|
| 148 |
+
SurfColl occurs = 3615312 (3.62M)
|
| 149 |
+
Surf reactions = 0 (0K)
|
| 150 |
+
Collide attempts = 14843472745 (14.8B)
|
| 151 |
+
Collide occurs = 11220390386 (11.2B)
|
| 152 |
+
Gas reactions = 0 (0K)
|
| 153 |
+
Particles stuck = 0
|
| 154 |
+
Axisymm bad moves = 0
|
| 155 |
+
|
| 156 |
+
Particle-moves/CPUsec/proc: 958498
|
| 157 |
+
Particle-moves/step: 2.9539e+06
|
| 158 |
+
Cell-touches/particle/step: 1.04567
|
| 159 |
+
Particle comm iterations/step: 1
|
| 160 |
+
Particle fraction communicated: 0.000837185
|
| 161 |
+
Particle fraction colliding with boundary: 0
|
| 162 |
+
Particle fraction exiting boundary: 8.40037e-05
|
| 163 |
+
Surface-checks/particle/step: 0.000567864
|
| 164 |
+
Surface-collisions/particle/step: 1.22391e-05
|
| 165 |
+
Surface-reactions/particle/step: 0
|
| 166 |
+
Collision-attempts/particle/step: 0.0502505
|
| 167 |
+
Collisions/particle/step: 0.0379851
|
| 168 |
+
Gas-reactions/particle/step: 0
|
| 169 |
+
|
| 170 |
+
Particles: 23088.3 ave 156321 max 0 min
|
| 171 |
+
Histogram: 84 14 4 10 6 6 0 0 2 2
|
| 172 |
+
Cells: 3033.45 ave 3034 max 3033 min
|
| 173 |
+
Histogram: 71 0 0 0 0 0 0 0 0 57
|
| 174 |
+
GhostCell: 77934.3 ave 143096 max 4166 min
|
| 175 |
+
Histogram: 23 7 12 10 18 2 6 4 16 30
|
| 176 |
+
EmptyCell: 94.6406 ave 580 max 0 min
|
| 177 |
+
Histogram: 75 6 12 7 23 0 1 1 1 2
|
| 178 |
+
Surfs: 200 ave 200 max 200 min
|
| 179 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 180 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 181 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 182 |
+
Writing grid file ...
|
| 183 |
+
grid cells = 388281
|
| 184 |
+
CPU time = 0.0506486 secs
|
| 185 |
+
Writing surface file ...
|
| 186 |
+
surf elements = 200
|
| 187 |
+
CPU time = 0.00361525 secs
|
| 188 |
+
Processing 12 grid chunk(s).
|
| 189 |
+
Completed grid chunk number: 7
|
| 190 |
+
Completed grid chunk number: 11
|
| 191 |
+
Completed grid chunk number: 3
|
| 192 |
+
Completed grid chunk number: 10
|
| 193 |
+
Completed grid chunk number: 8
|
| 194 |
+
Completed grid chunk number: 2
|
| 195 |
+
Completed grid chunk number: 9
|
| 196 |
+
Completed grid chunk number: 0
|
| 197 |
+
Completed grid chunk number: 6
|
| 198 |
+
Completed grid chunk number: 1
|
| 199 |
+
Completed grid chunk number: 4
|
| 200 |
+
Completed grid chunk number: 5
|
| 201 |
+
|
| 202 |
+
Done in 0:00:43 (wall clock time)
|
| 203 |
+
|
| 204 |
+
Processing 12 grid chunk(s).
|
| 205 |
+
Completed grid chunk number: 7
|
| 206 |
+
Completed grid chunk number: 11
|
| 207 |
+
Completed grid chunk number: 3
|
| 208 |
+
Completed grid chunk number: 8
|
| 209 |
+
Completed grid chunk number: 10
|
| 210 |
+
Completed grid chunk number: 2
|
| 211 |
+
Completed grid chunk number: 9
|
| 212 |
+
Completed grid chunk number: 0
|
| 213 |
+
Completed grid chunk number: 6
|
| 214 |
+
Completed grid chunk number: 1
|
| 215 |
+
Completed grid chunk number: 4
|
| 216 |
+
Completed grid chunk number: 5
|
| 217 |
+
|
| 218 |
+
Done in 0:00:40 (wall clock time)
|
| 219 |
+
|
| 220 |
+
Processing SPARTA surface information.
|
| 221 |
+
Processing dump result file: ['./output/surf.300000.dat']
|
CylinderKnMa/Kn0p14/simulation0224_Kn0p14Ma4p3/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="0.00615" RangeMax="0.60309" offset="4512" />
|
| 14 |
+
<DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.25959" RangeMax="27.936" offset="6516" />
|
| 15 |
+
<DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.68711" RangeMax="27.933" offset="8416" />
|
| 16 |
+
<DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-11.431" RangeMax="11.496" offset="10404" />
|
| 17 |
+
<DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.0087179" RangeMax="1.3609" offset="12396" />
|
| 18 |
+
<DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-1.2848" RangeMax="1.2942" offset="14456" />
|
| 19 |
+
<DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.010798" RangeMax="0.43874" offset="16536" />
|
| 20 |
+
<DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.16014" RangeMax="0.16101" offset="18680" />
|
| 21 |
+
<DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="28.887" RangeMax="2838.1" offset="20816" />
|
| 22 |
+
<DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0" RangeMax="0" offset="22168" />
|
| 23 |
+
<DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="22220" />
|
| 24 |
+
</CellData>
|
| 25 |
+
<Points>
|
| 26 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="22272" />
|
| 27 |
+
</Points>
|
| 28 |
+
<Cells>
|
| 29 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="23600" />
|
| 30 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="24504" />
|
| 31 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="24996" />
|
| 32 |
+
</Cells>
|
| 33 |
+
</Piece>
|
| 34 |
+
</UnstructuredGrid>
|
| 35 |
+
<AppendedData encoding="base64">
|
| 36 |
+
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AQAAAACAAABABgAAfwUAAA==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AQAAAACAAABABgAAwwUAAA==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AQAAAACAAABABgAA9wUAAA==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AQAAAACAAABABgAANQYAAA==eJwdkn08E4gfx49sKlepsFy40Px6QOqHk4f7isv9OLFMmKdaP2p1stY8Zx7GNrrqhOpWuTxduNBveX6or4nhhpjYZk5u51Qezqm8ultP1/3+ev/7fn9eH9xeHUg5yEOFgvxjE5GPatMpb72rPNzwKkQzRODhpR3ngmmqbHxqdzgyg5ONbp2f2rPoWTg+56SkV2ShNYnXPHAnE/V9091FhzOxh2hCFT//QOPkdfw/0rD/m4h5XT4HHbo6QyVXU/D8rvFfeXFJ+NT7882RDYmYJYp7WWvHxox/2YQH0dlY1EMqi9p2CrtLesuHHpxEerqltKDhOAqm8XpffhRqjfmXF2ccxWbObF3k8UjknzPaX99Jw1OlU2xWdCgWsjdxZcQgnErKydPZGYJr9MpTzEcoKA7Q1qW1BaDIptJg6kggdpKsqISyAFRYUK7RLhxAvfndl2QxfjjfslSwbuYrNNBI682c7XEr4a3Fy/jdmBIdwjLRM4YX+vKzLiP7gbY5tStc3xvcygfzGytCobDeumrrm3Dwf/XVqACiIGEksXfyxtcgdFaSPhGygBLi1iYvTwCnY8qCjplUGGskCZ7tzgA5Y9JoeHMWPNGyfj4nyAGrIC/Lm8HnQbfh8Xhufh709RNsv3UogEq1xGbmyRWwOKNJuX9MCGeoKwaeTBSBAe3rbQ2kEugVWsWAcRkwiEuZpu9/gDi9iFz35Qr4n8vPyeq9tyFN/ZGG874WBlaETMvXiWBVd9BQfdddoHRZ8E0l9UD6Y88DL1oTWP7ls4Wc0AIfz4bNxNHagb/CnNahcx/W/vnGziOpA3JsK5nCETFQr5hfjGc9AAaBXx273AVamx4Wl6RLwNNkTu34SS8YBqQFLIz0AbVONzTTXApPNybnxw30Q7LZRFGDahBeaM+XUYOHoHPX8otbFsPw8paFocRIBlkkDuGERAb5tcLUuoERqFZf6LdMfwRPldWa8FOjQFy2Ybdaj4FhlV2j/vQYrJ8uzhY2yiF1QUjWOqmA02QXR+0lBTgm5M7WZCph8HG2h47JOPgGMtfEXB6HiHeemoW5cfi4oIp70FsFW/W+66hpUwE748hFM1RBXIPha+nvKvC7MbFIMZgAQkcScc1bFZz4iJmp060CcayicVudCu5mrJpova6CNGezf1OMVbCnr5emGBmHnwLFleV+42C65buynkUl9MoEHxZTAv2zmLBCpQKevK5akh1QwLnbP93fyZXDtcQbpZYtY3DdqeVxybYPPVSL3EivUfCwMt6rd/YR/J4KDpGtI3B4u1S/p1UGV00SfXTnhuG49bVBP+IwSPBh8+ktQ6BT05E3WjMIi7/k/+r3rB/U02mCUncpHEnwNzM62Qdy/jnWO6te2L6w5r6dUALthA0GIOmCniKZWAMPQOZQwGxsEcObf/SOdsCCYmXXnOYetCf/6BnLbwP7KFcfsmsLeBTuYphrNQFj1R7tHSYNULfvH9E6GGpRLcsMRGATIXZU99VC68Z5HDxwG3b+pYgoLq+EHP3gwUnjHyDLYfCWZUYZzM5e7HasKoaN/8mNUKmK4P/3QyE0kIYTfH++DO/dkhZk/AL4fjiIfImTB4unXeytvS6Aac1J7y/35sDRd9EB3z/iQil992zo2XQIc6Xb+pmnAo1FYJaFx8OKlZ/61E+zYCezdOlm3wk4XGo3ud8vGuwfhvG9tSPh3quJWteFQ2DAnaUttnkAk+xZ4bPSHp69FY2xkpygOVw7f7JCG1Sc+OfxYc6YeS9pearcH11E4hIXkS9+fvluXhXlSzSwOn8s+jUFD/xyIybSjorpqy+ZRq+lYp2geiuDG4yrmd31ZPoh9BXRpi9wg9Cr1l04pwxBn/N3BO4QgUtfNNgw6yJQzlmf9sL6KKafYSpTm6KwW2rLNpxhYDupap+awcA4t4T22MZYLIq6Ld2uxcJY3iG6gshGJxPf5P++YuMQ2STlG0Eielc+7NpReBYdSLF32nZxMMPpnUZeyUEV10drrVcmbtjkNbraNhMLXqbsO3SFiyuXPsubruTi2v6Oppse2ShV119p/iIbh1P+3HMwOxu/NQ1UO0t46D/wG9HTlI+UCtfW9UY8rD5T8vzObzz8G5phGvw=AQAAAACAAABABgAAMAYAAA==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AQAAAACAAABABgAAFQAAAA==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/Kn0p14/simulation0224_Kn0p14Ma4p3/surf/geom.surf
ADDED
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| 1 |
+
# Surface element file written by SPARTA
|
| 2 |
+
|
| 3 |
+
400 points
|
| 4 |
+
200 lines
|
| 5 |
+
|
| 6 |
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AQAAAACAAAAwJQAAQx0AAA==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AgAAAACAAADAFAAADBMAAD8DAAA=eJxd3Vf4vwP9x3HfYe+999577733rJAKIVKpFBUNexZFUYmyRxENinZ2RamMiEILkTJ//4P//Tj4PD8n7+t6Xc+zx+F9fe57qqn+/zc23NmGO2v28eHOns4+Mdw50tknhztnOvvUw50rnX2a4c6dzj7tcOdJZ59uuPOms08/3PnS2WcY7vzp7DMOd4F09pmGu2A6+8zDXSidfZbhLpyOE49Fh7tIdh6LpbPzWDydnccS6ew8lkxn57FUOjuPpdPZeSyTzs5j2XR2Hsuls/NYPp2dxwrp7DxWTGfntlI6TjxWGe7K2Rcb7qrp7DxWS2fnsXo6O4810tl5rJnOzmOtdHYea6ez81gnnZ3HuunsPNZLZ+exfjo7jw3S2bltmI4Tj42Hu1F2Hpuks/PYNJ2dx2bp7Dw2T2fnsUU6O48t09l5bJXOzmPrdHYe26Sz89g2nZ3HdunsPLZPZ+e2QzpOPHYa7o7Zeeyczs5jl3T2zYa7azo7j93S2Xnsns7OY490dh57prPz2Cudncfe6ew89kln57FvOjuP/dLZub0lHScebxvuW7Pz2D+dnccB6ew8Dkxn5/H2dHYeB6Wz83hHOjuPd6az83hXOjuPg9PZeRySzs7j0HR2Hu9OZ+d2WDpOPI4Y7uHZebwnnZ3HkensPI5KZ+fx3nT2g4Z7dDo7j/els/N4fzo7jw+ks/M4Jp2dxwfT2Xl8KJ2dx4fT2bkdm44Tj48O9yPZeRyXzs7j+HR2Hh9LZ+fx8XR2Hp9IZ+dxQjo7jxPT2Xl8Mp2dx6fS2Xl8Op2dx2fS2XmclM7O7eR0nHicOtxTsvM4LZ2dx+np7DzOSGfncWY6O4+z0tl5nJ3OfuJwz0ln53FuOjuPz6az8/hcOjuP89LZeZyfzs7t8+k48bhguF/IzuPCdHYeX0xn5/GldHYeF6Wz87g4nZ3Hl9PZeXwlnZ3HV9PZeVySzs7ja+nsPC5NZ+dxWTo7t6+n48Tj8uF+IzuPK9LZeVyZzs7jqnR2Hlens/O4Jp2dx7Xp7DyuS2fncX06+yXDvSGdncc309l5fCudnceN6ezcbkrHicfNw/12dh63pLPz+E46O4/vprPz+F46O4/vp7PzuDWdncdt6ew8fpDOzuOH6ew8bk9n53FHOjuPH6Wzc/txOk48fjrcn2Tn8bN0dh4/T2fn8Yt0dh6/TGfncWc6O4+70tl53J3OzuOedHYe96az87gvnf2O4d6fzs7jV+ns3H6djhOPB4b7m+w8Hkxn5/HbdHYev0tn5/FQOjuP36ez8/hDOjuPP6az83g4nZ3HI+nsPB5NZ+fxWDo7jz+ls3N7PB0nHn8e7hPZeTyZzs7jqXR2Hn9JZ+fx13R2Hk+ns/N4Jp2dx7Pp7Dz+ls7O4+/p7Dz+kc7O45/p7Dz+lc7++HCfS8eJxwvDfT47j3+ns/N4MZ2dx0vp7Dz+k87O4+V0dh7/TWfn8b90dh6vpLPzeDWdncdr6ew8Xk9n5/FGOju3N9Nx4uGB35TsPMbGRjs7j/Gx0c7OY2JstLPzmBwb7ew8ph4b7ew8phkb7ew8ph0b7ew8phsb7ew8ph8b7ew8Zhgb7ew8Zhwb7ew8Zhob7ezcZh4b7TjxmHW4s8SJx2zpxuIxe7rxeMyRzs5jznR2HnOls/OYO52dxzzp7DzmTWfnMV86O4/509l5LJDOzmPBdHZuC6XjxGOR4S6cncei6ew8Fktn57F4OjuPJdLZeSyZzs5jqXR2Hkuns/NYJp2dx7Lp7DyWS2fnsXw6O48V0tm5rZiOE4+Vh7tSdh6rpLPzWDWdncdq6ew8Vk9n57FGOjuPNdPZeayVzs5j7XR2Huuks/NYN52dx3rp7DzWT2fntkE6Tjw2Gu6G2XlsnM7OY5N0dh6bprPz2Cydncfm6ew8tkhn57FlOjuPrdLZeWydzs5jm3R2Htums/PYLp2d2/bpOPHYcbg7ZOexUzo7j53T2Xnsks7OY9d0dh67pbPz2D2dncce6ew89kxn57FXOjuPvdPZeeyTzs5j33R2bvul48TjrcN9S3Yeb0tn57F/OjuPA9LZeRyYzs7j7ensPA5KZ+fxjnR2Hu9MZ+fxrnR2Hgens/M4JJ2dx6Hp7NzenY4Tj8OHe1h2Hkeks/N4Tzo7jyPT2Xkclc7O473p7DyOTmfn8b50dh7vT2fn8YF0dh7HpLPz+GA6O48PpbNz+3A6Tjw+Mtxjs/P4aDo7j+PS2Xkcn87O42Pp7Dw+ns7O4xPp7DxOSGfncWI6O49PprPz+FQ6O49Pp7Pz+Ew6O7eT0nHiccpwT87O49R0dh6npbPzOD2dnccZ6ew8zkxn53FWOjuPs9PZeZyTzs7j3HR2Hp9NZ+fxuXR2Huels3M7Px0nHl8Y7uez87ggnZ3HhensPL6Yzs7jS+nsPC5KZ+dxcTo7jy+ns/P4Sjo7j6+ms/O4JJ2dx9fS2Xlcms7O7bJ0nHh8Y7hfz87j8nR2Hleks/O4Mp2dx1Xp7DyuTmfncU06O49r09l5XJfOzuP6dHYeN6Sz8/hmOjuPb6Wzc7sxHSce3x7uTdl53JzOzuOWdHYe30ln5/HddHYe30tn5/H9dHYet6az87gtnZ3HD9LZefwwnZ3H7ensPO5IZ+f2o3ScePxkuD/OzuOn6ew8fpbOzuPn6ew8fpHOzuOX6ew87kxn53FXOjuPu9PZedyTzs7j3nR2Hvels/O4P52d26/SceLxm+H+OjuPB9LZeTyYzs7jt+nsPH6Xzs7joXR2Hr9PZ+fxh3R2Hn9MZ+fxcDo7j0fS2Xk8ms7O47F0dm5/SseJxxPDfTw7jz+ns/N4Mp2dx1Pp7Dz+ks7O46/p7DyeTmfn8Uw6O49n09l5/C2dncff09l5/COdncc/09m5/SsdJx7PD/e57DxeSGfn8e90dh4vprPzeCmdncd/0tl5vJzOzuO/6ew8/pfOzuOVdHYer6az83gtnZ3H6+ns3N5Ix4nHlOG+mZ2HP2xOyc5jbHy0s/MYHx/t7Dwmxkc7O4/J8dHOzmPq8dHOzmOa8dHOzmPa8dHOzmO68dHOzmP68dHu1XjMMD7avRaPGcdHu9fjNtP4aPdm3GYZ9pnjxGPW8dFuqnjMlm4sHrOnG4/HHOnsPOZMZ+cxVzo7j7nT2XnMk87OY950dh7zpbPzmD+dnccC6ezcFkzHicfCw10oO49F0tl5LJrOzmOxdHYei6ez81ginZ3HkunsPJZKZ+exdDo7j2XS2Xksm87OY7l0dh7Lp7NzWyEdJx4rDXfF7DxWTmfnsUo6O49V09l5rJbOzmP1dHYea6Sz81gznZ3HWunsPNZOZ+exTjo7j3XT2Xmsl87Obf10nHhsONwNsvPYKJ2dx8bp7Dw2SWfnsWk6O4/N0tl5bJ7OzmOLdHYeW6az89gqnZ3H1unsPLZJZ+exbTo7t+3SceKxw3C3z85jx3R2Hjuls/PYOZ2dxy7p7Dx2TWfnsVs6O4/d09l57JHOzmPPdHYee6Wz89g7nZ3HPuns3PZNx4nHW4a7X3Yeb01n5/G2dHYe+6ez8zggnZ3HgensPN6ezs7joHR2Hu9IZ+fxznR2Hu9KZ+dxcDo7j0PS2bkdmo4Tj8OG++7sPA5PZ+dxRDo7j/eks/M4Mp2dx1Hp7Dzem87O4+h0dh7vS2fn8f50dh4fSGfncUw6O48PprNz+1A6TjyOHe6Hs/P4SDo7j4+ms/M4Lp2dx/Hp7Dw+ls7O4+Pp7Dw+kc7O44R0dh4nprPz+GQ6O49PpbPz+HQ6O7fPpOPE4+ThnpSdxynp7DxOTWfncVo6O4/T09l5nJHOzuPMdHYeZ6Wz8zg7nZ3HOensPM5NZ+fx2XR2Hp9LZ+d2XjpOPD4/3POz8/hCOjuPC9LZeVyYzs7ji+nsPL6Uzs7jonR2Hhens/P4cjo7j6+ks/P4ajo7j0vS2Xl8LZ2d26XpOPH4+nAvy87jG+nsPC5PZ+dxRTo7jyvT2Xlclc7O4+p0dh7XpLPzuDadncd16ew8rk9n53FDOjuPb6azc/tWOk48bhrujdl5fDudncfN6ew8bkln5/GddHYe301n5/G9dHYe309n53FrOjuP29LZefwgnZ3HD9PZedyezs7tjnScePx4uD/KzuMn6ew8fprOzuNn6ew8fp7OzuMX6ew8fpnOzuPOdHYed6Wz87g7nZ3HPensPO5NZ+dxXzo7t/vTceLx6+H+KjuP36Sz83ggnZ3Hg+nsPH6bzs7jd+nsPB5KZ+fx+3R2Hn9IZ+fxx3R2Hg+ns/N4JJ2dx6Pp7NweS8eJx+PD/VN2Hk+ks/P4czo7jyfT2Xk8lc7O4y/p7Dz+ms7O4+l0dh7PpLPzeDadncff0tl5/D2dncc/0tm5/TMdJx7PDfdf2Xk8n87O44V0dh7/Tmfn8WI6O4+X0tl5/CedncfL6ew8/pvOzuN/6ew8Xkln5/FqOjuP19LZub2ejhOPN4f7RnYeU9LZeXjh7pTsPMYmRjs7j/GJ0c7OY2JitLPzmJwY7ew8pp4Y7ew8ppkY7ew8pp0Y7ew8ppsY7ew8pp8Y7V6NxwwTo52d24wTo90b8Zh52GeaGN15zDIx2k2J26wTo91U8Zgt3Vg8Zk83Ho850tl5zJnOzmOudHYec6ez85gnnZ3HvOnsPOZLZ+cxfzo7twXSceKx0HAXzM5j4XR2Houks/NYNJ2dx2Lp7DwWT2fnsUQ6O48l09l5LJXOzmPpdHYey6Sz81g2nZ3Hcuns3JZPx4nHisNdITuPldLZeayczs5jlXR2Hqums/NYLZ2dx+rp7DzWSGfnsWY6O4+10tl5rJ3OzmOddHYe66azc1svHSceGwx3/ew8Nkxn57FROjuPjdPZeWySzs5j03R2Hpuls/PYPJ2dxxbp7Dy2TGfnsVU6O4+t09l5bJPOzm3bdJx4bD/c7bLz2CGdnceO6ew8dkpn57FzOjuPXdLZeeyazs5jt3R2Hruns/PYI52dx57p7Dz2SmfnsXc6O7d90nHisd9w983O4y3p7Dzems7O423p7Dz2T2fncUA6O48D09l5vD2dncdB6ew83pHOzuOd6ew83pXOzuPgdHZuh6TjxOPdwz00O4/D0tl5HJ7OzuOIdHYe70ln53FkOjuPo9LZebw3nZ3H0ensPN6Xzs7j/ensPD6Qzs7jmHR2bh9Mx4nHh4f7oew8jk1n5/GRdHYeH01n53FcOjuP49PZeXwsnZ3Hx9PZeXwinZ3HCensPE5MZ+fxyXR2Hp9KZ+f26XSceJw03M9k53FyOjuPU9LZeZyazs7jtHR2Hqens/M4I52dx5np7DzOSmfncXY6O49z0tl5nJvOzuOz6ezcPpeOE4/zh3tedh6fT2fn8YV0dh4XpLPzuDCdnccX09l5fCmdncdF6ew8Lk5n5/HldHYeX0ln5/HVdHYel6Szc/taOk48Lhvupdl5fD2dncc30tl5XJ7OzuOKdHYeV6az87gqnZ3H1ensPK5JZ+dxbTo7j+vS2Xlcn87O44Z0dm7fTMeJx43D/VZ2Hjels/P4djo7j5vT2Xncks7O4zvp7Dy+m87O43vp7Dy+n87O49Z0dh63pbPz+EE6O48fprNzuz0dJx4/Gu4d2Xn8OJ2dx0/S2Xn8NJ2dx8/S2Xn8PJ2dxy/S2Xn8Mp2dx53p7DzuSmfncXc6O4970tl53JvOzu2+dJx4/Gq492fn8et0dh6/SWfn8UA6O48H09l5/Dadncfv0tl5PJTOzuP36ew8/pDOzuOP6ew8Hk5n5/FIOju3R9Nx4vGn4T6Wncfj6ew8nkhn5/HndHYeT6az83gqnZ3HX9LZefw1nZ3H0+nsPJ5JZ+fxbDo7j7+ls/P4ezo7t3+k48TjX8P9Z3Yez6Wz83g+nZ3HC+nsPP6dzs7jxXR2Hi+ls/P4Tzo7j5fT2Xn8N52dx//S2Xm8ks7O49V0dm6vpePE443hvp6dx5vp7DympLPz8MHUKdl5jE2OdnYe45OjnZ3HxORoZ+cxOTna2XlMPTna2XlMMzna2XlMOzna2XlMNzna2XlMPzna2bnNMDnavR6PmYZ9xsnRncfMk6Pdm3GbZXK0mxK3WSdHu6niMVu6sXjMnm48HnOks/OYM52dx1zp7DzmTmfnMU86O49509l5zJfOzm3+dJx4LDjcBbLzWCidncfC6ew8Fkln57FoOjuPxdLZeSyezs5jiXR2Hkums/NYKp2dx9Lp7DyWSWfnsWw6O7fl0nHiscJwl8/OY8V0dh4rpbPzWDmdnccq6ew8Vk1n57FaOjuP1dPZeayRzs5jzXR2Hmuls/NYO52dxzrp7NzWTceJx/rDXS87jw3S2XlsmM7OY6N0dh4bp7Pz2CSdncem6ew8Nktn57F5OjuPLdLZeWyZzs5jq3R2Hluns3PbJh0nHtsNd9vsPLZPZ+exQzo7jx3T2XnslM7OY+d0dh67pLPz2DWdncdu6ew8dk9n57FHOjuPPdPZeeyVzs5t73SceOw73H2y89gv3f8BYN+0snicXdFDE6ZXAAXhSTJv8NNiTmzbtm3b5sS2J7ZtTWxWpe6z+PpsTlVX73rpuXP+3zLj1xq/Zviy49eOhy83fp14+PLj142HrzB+vXj4iuPXj4evNH6DePjK4zeMh68yfqN4+KrjN46HrzZ+k3j4vPGbxlt9/BrjNx+/WbgeW8TD9dgyHq7HVvFwPbaOh+uxTTxcj23j4XpsFw/XY/t4uB47xMP12DEersdO8XA9do6H67ZLPJ302G38ruF67B4P12OPeLgee8bD9dgrHq7H3vFwPfaJh+uxbzxcj/3i4XrsHw/X44B4uB4HxsP1OCgertvB8XTS49Dxh4TrcVg8XI/D4+F6HBEP1+PIeLgeR8XD9Tg6Hq7HMfFwPY6Nh+txXDxcj+Pj4XqcEA/X48R4uG4nxdNJj1PGnxyux6nxcD1Oi4frcXo8XI8z4uF6nBkP1+OseLgeZ8fD9TgnHq7HufFwPc6Lh+txfjxcjwvi4bpdGE8nPS4ef1G4HpfEw/W4NB6ux2XxcD0uj4frcUU8XI8r4+F6XBUP1+PqeLge18TD9bg2Hq7HdfFwPa6Ph+t2Qzyd9Lhx/PxwPW6Kh+txczxcj1vi4XrcGg/X47Z4uB63x8P1uCMersed8XA97oqH63F3PFyPe+LhetwbD9ftvng66fHA+PvD9XgwHq7HQ/FwPR6Oh+vxSDxcj0fj4Xo8Fg/X4/F4uB5PxMP1eDIerseCeLgeT8XD9Xg6Hq7bM/F00uO58c+G6/F8PFyPF+LherwYD9fjpXi4Hi/Hw/V4JR6ux6vxcD1ei4fr8Xo8XI834uF6vBkP1+OteLhub8fTSY93x78Trsd78XA93o+H6/FBPFyPD+PhenwUD9fj43i4Hp/Ew/X4NB6ux2fxcD0+j4fr8UU8XI8v4+G6fRVPJz2+Gf91uB4L4+F6fBsP1+O7eLge38fD9fghHq7Hj/FwPX6Kh+vxczxcj1/i4Xr8Gg/X47d4uB6/x8N1+yOeTnr8Nf7PcD3+jofr8U88XI9/4+F6zJlmPVyPRaZZD9dj0WnWw/VYbJr1cD3mTrMersc0zXq4HotPsx6uxxLTrIfrseQ06+G6LTXNev8BJ/WuBw==AQAAAACAAAAwJQAAUgYAAA==eJw12hG/OgCaBeC7O81Os9PMNPsLgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiC4cCEIgiAIgiAIgiAIgiAIgiBYuM//lecznHPewNfvBRlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZY50NNtlimx122WOfAw454pgTTjnjnN/84YJLrrjmhlvuuOeBR5545oVX3njng0+++OaHX//1S4BBhhhmhFHGGGeCSaaYZoZZ5phngUWWWGaFVdZYZ4NNtthmh1322OeAQ4445oRTzjjnN3+44JIrrrnhljvueeCRJ5554ZU33vngky+++eHXf/8SYJAhhhlhlDHGmWCSKaaZYZY55llgkSWWWWGVNdbZYJMtttlhlz32OeCQI4454ZQzzvnNHy645IprbrjljnseeOSJZ1545Y13Pvjki29++PWXXwIMMsQwI4wyxjgTTDLFNDPMMsc8CyyyxDIrrLLGOhtsssU2O+yyxz4HHHLEMSeccsY5v/nDBZdccc0Nt9xxzwOPPPHMC6+88c4Hn3zxzQ+/AmCQIYYZYZQxxplgkimmmWGWOeZZYJEllllhlTXW2WCTLbbZYZc99jngkCOOOeGUM875zR8uuOSKa2645Y57HnjkiWdeeOWNdz745Itvfvj1118CDDLEMCOMMsY4E0wyxTQzzDLHPAssssQyK6yyxjobbLLFNjvsssc+BxxyxDEnnHLGOb/5wwWXXHHNDbfccc8DjzzxzAuvvPHOB5988c0Pv/7nlwCDDDHMCKOMMc4Ek0wxzQyzzDHPAossscwKq6yxzgabbLHNDrvssc8BhxxxzAmnnHHOb/5wwSVXXHPDLXfc88AjTzzzwitvvPPBJ19888Ovv/0SYJAhhhlhlDHGmWCSKaaZYZY55llgkSWWWWGVNdbZYJMtttlhlz32OeCQI4454ZQzzvnNHy645IprbrjljnseeOSJZ1545Y13Pvjki29++CfwBxhkiGFGGGWMcSaYZIppZphljnkWWGSJZVZYZY11Nthki2122GWPfQ445IhjTjjljHN+84cLLrnimhtuueOeBx554pkXXnnjnQ8++eKbnz9Fz99/CTDIEMOMMMoY40wwyRTTzDDLHPMssMgSy6ywyhrrbLDJFtvssMse+xxwyBHHnHDKGef85g8XXHLFNTfccsc9DzzyxDMvvPLGOx988sU3P/z6318CDDLEMCOMMsY4E0wyxTQzzDLHPAssssQyK6yyxjobbLLFNjvsssc+BxxyxDEnnHLGOb/5wwWXXHHNDbfccc8DjzzxzAuvvPHOB5988c0Pv/7xS4BBhhhmhFHGGGeCSaaYZoZZ5phngUWWWGaFVdZYZ4NNtthmh1322OeAQ4445oRTzjjnN3+44JIrrrnhljvueeCRJ5554ZU33vngky+++eGfoj/AIEMMM8IoY4wzwSRTTDPDLHPMs8AiSyyzwiprrLPBJltss8Mue+xzwCFHHHPCKWec85s/XHDJFdfccMsd9zzwyBPPvPDKG+988MkX3/z8GXj++UuAQYYYZoRRxhhngkmmmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEOOOOaEU8445zd/uOCSK6654ZY77nngkSeeeeGVN9754JMvvvnh179+CTDIEMOMMMoY40wwyRTTzDDLHPMssMgSy6ywyhrrbLDJFtvssMse+xxwyBHHnHDKGef85g8XXHLFNTfccsc9DzzyxDMvvPLGOx988sU3P/z69y8BBhlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZY50NNtlimx122WOfAw454pgTTjnjnN/84YJLrrjmhlvuuOeBR5545oVX3njng0+++OaHfwb+AIMMMcwIo4wxzgSTTDHNDLPMMc8CiyyxzAqrrLHOBptssc0Ou+yxzwGHHHHMCaeccc5v/nDBJVdcc8Mtd9zzwCNPPPPCK2+888EnX3zz8+ex4z+/BBhkiGFGGGWMcSaYZIppZphljnkWWGSJZVZYZY11Nthki2122GWPfQ445IhjTjjljHN+84cLLrnimhtuueOeBx554pkXXnnjnQ8++eKbH3793y8BBhlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZY50NNtlimx122WOfAw454pgTTvn/fiJrsQ==AQAAAACAAACmBAAAEgAAAA==eJzj5BwFo2AUjILBDABboinX
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p14/simulation0225_Kn0p14Ma4p4/Lambda/Lambda_1_300000.vtu
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