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- .gitattributes +1 -0
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.gitattributes
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76s+fa4mG/2oQSXC9amt5pQSaEzebJnKhwLexT3gI2jsYHoMK5mhWmd6zcDLti3hvLSzzu0stjZDT0jsYeR9alF2ftd1QmNjKHXsGB5buZSZPQFlHw/G6Oeiq0F93r0A9T7F8mOAGvVGzByMfs2Frs5Ti8qFYmX3itBDSAkn9MAkLllKd8TI4b41zXyyC9YV/9vxUQz7vW7lcBx/OeE2dBkg1f+gLvwNHy956TrbDYsEwi3bA5cWBndtewVvmtU1BQeGNoe8L0L7l8uKBAPwL3wLjpA==AQAAAACAAAAQRAAAjzsAAA==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AQAAAACAAAAQRAAAUjgAAA==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AQAAAACAAAAQRAAAWQsAAA==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AQAAAACAAACCCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSigNwAA+uhMkw==
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p06/simulation0021_Kn0p06Ma4p0/Lambda/Lambda_5_300000.vtu
ADDED
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CylinderKnMa/Kn0p06/simulation0021_Kn0p06Ma4p0/Lambda/Lambda_6_300000.vtu
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CylinderKnMa/Kn0p06/simulation0021_Kn0p06Ma4p0/Lambda/Lambda_7_300000.vtu
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CylinderKnMa/Kn0p06/simulation0021_Kn0p06Ma4p0/Lambda/Lambda_8_300000.vtu
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CylinderKnMa/Kn0p06/simulation0021_Kn0p06Ma4p0/Lambda/Lambda_9_300000.vtu
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|
CylinderKnMa/Kn0p06/simulation0021_Kn0p06Ma4p0/output/surf.300000.dat
ADDED
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@@ -0,0 +1,209 @@
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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 0.04368 4.093 -4.0925 0.06429 -0.00014097 -0.0089737 -0.064285 0.00086888 134.48 0 0
|
| 11 |
+
65 -0.21289 -0.45241 -0.227 -0.4455 0.42417 40.292 17.726 36.183 3.6119 -1.7695 0.33516 0.54055 2139.1 0 0
|
| 12 |
+
129 -0.31871 0.38526 -0.30645 0.39508 0.64188 61.234 38.286 -47.789 3.9028 3.1268 0.66267 -0.70152 3371.1 0 0
|
| 13 |
+
193 0.48429 0.12434 0.48796 0.10907 0.0419 3.9088 -3.8008 -0.91249 -0.026131 0.10884 -0.060111 -0.012623 121.6 0 0
|
| 14 |
+
2 0.49975 -0.015705 0.49901 -0.031395 0.04351 4.0931 -4.0885 0.19281 -0.00072116 -0.015292 -0.064231 0.0027883 143.16 0 0
|
| 15 |
+
66 -0.227 -0.4455 -0.24088 -0.43815 0.45285 43.126 20.18 38.113 3.7115 -1.9651 0.37527 0.56778 2392.6 0 0
|
| 16 |
+
130 -0.30645 0.39508 -0.29389 0.40451 0.61291 58.482 35.114 -46.767 3.8219 2.8696 0.61158 -0.68951 3215.2 0 0
|
| 17 |
+
194 0.48796 0.10907 0.49114 0.093691 0.04245 3.9526 -3.8705 -0.80154 -0.011907 0.057498 -0.060982 -0.011687 124.54 0 0
|
| 18 |
+
3 0.49901 -0.031395 0.49778 -0.047054 0.04261 3.9781 -3.9658 0.31212 -0.0040892 -0.051958 -0.062357 0.0040864 139.99 0 0
|
| 19 |
+
67 -0.24088 -0.43815 -0.25452 -0.43037 0.48098 45.9 22.741 39.87 3.9741 -2.2668 0.41963 0.59065 2506.3 0 0
|
| 20 |
+
131 -0.29389 0.40451 -0.28104 0.41354 0.57982 55.218 31.751 -45.177 3.9804 2.7975 0.56124 -0.66566 3095.2 0 0
|
| 21 |
+
195 0.49114 0.093691 0.49384 0.078217 0.04291 4.0155 -3.9557 -0.69038 -0.004909 0.028127 -0.062211 -0.010402 122.08 0 0
|
| 22 |
+
4 0.49778 -0.047054 0.49606 -0.062667 0.04349 4.0655 -4.041 0.44613 -0.012536 -0.11355 -0.06367 0.0052239 125.06 0 0
|
| 23 |
+
68 -0.25452 -0.43037 -0.26791 -0.42216 0.51464 49.155 25.684 41.912 3.9284 -2.4073 0.46513 0.62051 2734.9 0 0
|
| 24 |
+
132 -0.28104 0.41354 -0.26791 0.42216 0.54599 52.042 28.572 -43.497 3.9124 2.5699 0.51024 -0.64285 2839.8 0 0
|
| 25 |
+
196 0.49384 0.078217 0.49606 0.062667 0.04313 4.0134 -3.9734 -0.5655 -0.011706 0.082254 -0.062595 -0.0075905 122.21 0 0
|
| 26 |
+
5 0.49606 -0.062667 0.49384 -0.078217 0.04269 3.9739 -3.9342 0.55992 -0.00544 -0.038223 -0.061881 0.0081945 119.61 0 0
|
| 27 |
+
69 -0.26791 -0.42216 -0.28104 -0.41354 0.54496 52.058 28.581 43.51 3.9668 -2.6057 0.51124 0.6425 2848.7 0 0
|
| 28 |
+
133 -0.26791 0.42216 -0.25452 0.43037 0.515 49.13 25.67 -41.89 3.9122 2.3974 0.46466 -0.62032 2689.4 0 0
|
| 29 |
+
197 0.49606 0.062667 0.49778 0.047054 0.04248 3.9393 -3.9155 -0.43228 -0.0047118 0.042679 -0.061576 -0.0061196 133.16 0 0
|
| 30 |
+
6 0.49384 -0.078217 0.49114 -0.093691 0.04361 4.028 -3.968 0.69253 -0.012213 -0.069979 -0.062519 0.0097786 115.31 0 0
|
| 31 |
+
70 -0.28104 -0.41354 -0.29389 -0.40451 0.5815 55.515 31.922 45.42 3.8987 -2.74 0.56264 0.67039 3014.1 0 0
|
| 32 |
+
134 -0.25452 0.43037 -0.24088 0.43815 0.48676 46.271 22.926 -40.193 3.7449 2.1361 0.41892 -0.59777 2571.4 0 0
|
| 33 |
+
198 0.49778 0.047054 0.49901 0.031395 0.04293 3.9758 -3.9635 -0.31194 -0.0069668 0.088522 -0.062366 -0.0035093 149.91 0 0
|
| 34 |
+
7 0.49114 -0.093691 0.48796 -0.10907 0.04255 3.9373 -3.8555 0.79844 -0.014891 -0.071904 -0.060793 0.011412 113.17 0 0
|
| 35 |
+
71 -0.29389 -0.40451 -0.30645 -0.39508 0.61508 58.655 35.217 46.905 3.8376 -2.8814 0.61345 0.6915 3236.8 0 0
|
| 36 |
+
135 -0.24088 0.43815 -0.227 0.4455 0.45647 43.48 20.345 -38.426 3.7666 1.9943 0.37874 -0.57224 2344.5 0 0
|
| 37 |
+
199 0.49901 0.031395 0.49975 0.015705 0.0433 4.0374 -4.0329 -0.19019 7.3531e-05 -0.0015592 -0.063345 -0.0030118 134.97 0 0
|
| 38 |
+
8 0.48796 -0.10907 0.48429 -0.12434 0.04132 3.856 -3.7495 0.90018 -0.01365 -0.056858 -0.059109 0.013246 116.99 0 0
|
| 39 |
+
72 -0.30645 -0.39508 -0.31871 -0.38526 0.6512 61.821 38.653 48.247 3.8282 -3.0669 0.66727 0.70966 3296.5 0 0
|
| 40 |
+
136 -0.227 0.4455 -0.21289 0.45241 0.42713 40.635 17.877 -36.491 3.7136 1.8193 0.33913 -0.5446 2250.1 0 0
|
| 41 |
+
200 0.49975 0.015705 0.5 0 0.04418 4.0931 -4.0926 -0.064292 -0.00050361 0.032058 -0.064292 -0.00050631 121.64 0 0
|
| 42 |
+
9 0.48429 -0.12434 0.48015 -0.1395 0.04073 3.8104 -3.6754 1.0055 -0.018947 -0.069257 -0.058028 0.014705 112.38 0 0
|
| 43 |
+
73 -0.31871 -0.38526 -0.33066 -0.37506 0.68033 64.751 42.052 49.237 3.8664 -3.3022 0.72126 0.72151 3500.4 0 0
|
| 44 |
+
137 -0.21289 0.45241 -0.19857 0.45888 0.39634 37.776 15.545 -34.429 3.6044 1.6275 0.30079 -0.51523 2059.3 0 0
|
| 45 |
+
10 0.48015 -0.1395 0.47553 -0.15451 0.04209 3.8645 -3.6936 1.1363 -0.026756 -0.086972 -0.058437 0.016482 102.94 0 0
|
| 46 |
+
74 -0.33066 -0.37506 -0.34227 -0.36448 0.7146 68.251 45.934 50.481 3.7966 -3.4546 0.78114 0.73866 3749.3 0 0
|
| 47 |
+
138 -0.19857 0.45888 -0.18406 0.46489 0.36819 35.041 13.41 -32.374 3.4692 1.437 0.26512 -0.48594 1924.3 0 0
|
| 48 |
+
11 0.47553 -0.15451 0.47044 -0.16937 0.04287 3.9521 -3.7391 1.2802 -0.024676 -0.072072 -0.059118 0.018976 100.64 0 0
|
| 49 |
+
75 -0.34227 -0.36448 -0.35355 -0.35355 0.75293 71.655 49.866 51.458 3.6075 -3.4959 0.83992 0.75335 3903.7 0 0
|
| 50 |
+
139 -0.18406 0.46489 -0.16937 0.47044 0.343 32.73 11.569 -30.617 3.2949 1.245 0.23348 -0.46136 1772.5 0 0
|
| 51 |
+
12 0.47044 -0.16937 0.46489 -0.18406 0.04206 3.8558 -3.6068 1.3629 -0.035417 -0.093728 -0.05721 0.019935 89.278 0 0
|
| 52 |
+
76 -0.35355 -0.35355 -0.36448 -0.34227 0.78381 74.691 53.638 51.979 3.5558 -3.6693 0.89836 0.75881 4034.8 0 0
|
| 53 |
+
140 -0.16937 0.47044 -0.15451 0.47553 0.32072 30.634 9.923 -28.983 3.4688 1.1876 0.21035 -0.43658 1738.4 0 0
|
| 54 |
+
13 0.46489 -0.18406 0.45888 -0.19857 0.04208 3.8305 -3.5389 1.4659 -0.019259 -0.046496 -0.055889 0.022294 77.346 0 0
|
| 55 |
+
77 -0.36448 -0.34227 -0.37506 -0.33066 0.82117 78.221 57.855 52.644 3.4761 -3.8202 0.96334 0.76688 4193.2 0 0
|
| 56 |
+
141 -0.15451 0.47553 -0.1395 0.48015 0.29644 28.245 8.3052 -26.996 3.0958 0.95238 0.17908 -0.40908 1556.6 0 0
|
| 57 |
+
14 0.45888 -0.19857 0.45241 -0.21289 0.04043 3.7514 -3.4191 1.5438 -0.047154 -0.10443 -0.054445 0.022608 79.172 0 0
|
| 58 |
+
78 -0.37506 -0.33066 -0.38526 -0.31871 0.86018 82.064 62.402 53.297 3.3257 -3.8939 1.0324 0.77598 4466.4 0 0
|
| 59 |
+
142 -0.1395 0.48015 -0.12434 0.48429 0.27726 26.382 6.9615 -25.447 3.1022 0.84867 0.15807 -0.38637 1484 0 0
|
| 60 |
+
15 0.45241 -0.21289 0.4455 -0.227 0.04015 3.6815 -3.3061 1.6196 -0.038942 -0.07949 -0.052542 0.024192 81.574 0 0
|
| 61 |
+
79 -0.38526 -0.31871 -0.39508 -0.30645 0.8923 84.98 66.321 53.133 3.3309 -4.1576 1.094 0.76928 4564.1 0 0
|
| 62 |
+
143 -0.12434 0.48429 -0.10907 0.48796 0.25423 24.208 5.6512 -23.539 2.8971 0.69553 0.13427 -0.35881 1293.8 0 0
|
| 63 |
+
16 0.4455 -0.227 0.43815 -0.24088 0.04033 3.7317 -3.2979 1.7462 -0.023687 -0.044737 -0.052173 0.026725 69.101 0 0
|
| 64 |
+
80 -0.39508 -0.30645 -0.40451 -0.29389 0.93125 88.637 70.882 53.22 3.2247 -4.2949 1.164 0.76847 4776.9 0 0
|
| 65 |
+
144 -0.10907 0.48796 -0.093691 0.49114 0.23534 22.382 4.5389 -21.917 2.8586 0.59199 0.11619 -0.33496 1240.5 0 0
|
| 66 |
+
17 0.43815 -0.24088 0.43037 -0.25452 0.04075 3.6975 -3.2118 1.832 -0.039167 -0.068667 -0.051063 0.027697 90.091 0 0
|
| 67 |
+
81 -0.40451 -0.29389 -0.41354 -0.28104 0.96519 92.027 75.292 52.916 2.9491 -4.1962 1.229 0.76526 4973.7 0 0
|
| 68 |
+
145 -0.093691 0.49114 -0.078217 0.49384 0.21813 20.732 3.5644 -20.423 2.7806 0.48529 0.099662 -0.31317 1112.8 0 0
|
| 69 |
+
18 0.43037 -0.25452 0.42216 -0.26791 0.03989 3.6358 -3.1 1.8997 -0.045097 -0.073591 -0.049401 0.028683 85.215 0 0
|
| 70 |
+
82 -0.41354 -0.28104 -0.42216 -0.26791 1.0037 95.643 79.939 52.51 2.6307 -4.0048 1.297 0.76189 5257.9 0 0
|
| 71 |
+
146 -0.078217 0.49384 -0.062667 0.49606 0.19913 18.879 2.66 -18.69 2.6192 0.37277 0.082923 -0.28772 1060.4 0 0
|
| 72 |
+
19 0.42216 -0.26791 0.41354 -0.28104 0.0384 3.5605 -2.9759 1.9548 -0.037635 -0.057294 -0.047334 0.029804 70.679 0 0
|
| 73 |
+
83 -0.42216 -0.26791 -0.43037 -0.25452 1.0301 98.441 83.935 51.435 2.5307 -4.1297 1.3581 0.74304 5285.9 0 0
|
| 74 |
+
147 -0.062667 0.49606 -0.047054 0.49778 0.18188 17.29 1.8973 -17.186 2.5316 0.27949 0.069566 -0.26555 997.55 0 0
|
| 75 |
+
20 0.41354 -0.28104 0.40451 -0.29389 0.03819 3.5258 -2.8846 2.0273 -0.052204 -0.074279 -0.04613 0.030677 78.241 0 0
|
| 76 |
+
84 -0.43037 -0.25452 -0.43815 -0.24088 1.0666 102.07 88.661 50.571 2.471 -4.3322 1.4314 0.7263 5588.4 0 0
|
| 77 |
+
148 -0.047054 0.49778 -0.031395 0.49901 0.16906 16.118 1.2646 -16.069 2.4029 0.18911 0.057608 -0.24943 907.23 0 0
|
| 78 |
+
21 0.40451 -0.29389 0.39508 -0.30645 0.03673 3.3949 -2.7149 2.0384 -0.031515 -0.041974 -0.043138 0.031358 74.67 0 0
|
| 79 |
+
85 -0.43815 -0.24088 -0.4455 -0.227 1.0971 104.65 92.485 48.968 2.0138 -3.8034 1.4843 0.70942 5592 0 0
|
| 80 |
+
149 -0.031395 0.49901 -0.015705 0.49975 0.15482 14.585 0.68705 -14.569 2.2785 0.10745 0.046581 -0.22715 830.24 0 0
|
| 81 |
+
22 0.39508 -0.30645 0.38526 -0.31871 0.03627 3.3804 -2.6382 2.1136 -0.04289 -0.053536 -0.042112 0.032358 62.737 0 0
|
| 82 |
+
86 -0.4455 -0.227 -0.45241 -0.21289 1.1274 107.67 96.69 47.368 1.9116 -3.9021 1.5488 0.68273 5851.6 0 0
|
| 83 |
+
150 -0.015705 0.49975 0 0.5 0.13873 13.191 0.20719 -13.189 2.1027 0.033031 0.036282 -0.20665 734.33 0 0
|
| 84 |
+
23 0.38526 -0.31871 0.37506 -0.33066 0.03488 3.2349 -2.4598 2.1009 0.00342 0.0040043 -0.038584 0.033062 106.45 0 0
|
| 85 |
+
87 -0.45241 -0.21289 -0.45888 -0.19857 1.1588 110.55 100.76 45.495 1.7539 -3.8845 1.6102 0.65359 6144.2 0 0
|
| 86 |
+
151 0 0.5 0.015705 0.49975 0.13208 12.459 -0.1957 -12.457 2.0152 -0.031658 0.02858 -0.19617 699.36 0 0
|
| 87 |
+
24 0.37506 -0.33066 0.36448 -0.34227 0.03303 3.0673 -2.2687 2.0644 0.036116 0.039691 -0.035068 0.033049 95.364 0 0
|
| 88 |
+
88 -0.45888 -0.19857 -0.46489 -0.18406 1.1894 113.64 104.99 43.489 1.3948 -3.3673 1.671 0.63021 6294.2 0 0
|
| 89 |
+
152 0.015705 0.49975 0.031395 0.49901 0.11778 11.145 -0.52501 -11.133 2.0086 -0.094721 0.023303 -0.17635 643.15 0 0
|
| 90 |
+
25 0.36448 -0.34227 0.35355 -0.35355 0.03096 2.8474 -2.0448 1.9815 0.057396 0.059228 -0.031216 0.032055 104.94 0 0
|
| 91 |
+
89 -0.46489 -0.18406 -0.47044 -0.16937 1.2098 115.48 108.02 40.818 1.3033 -3.4491 1.7172 0.58697 6290.8 0 0
|
| 92 |
+
153 0.031395 0.49901 0.047054 0.49778 0.10787 10.147 -0.79614 -10.116 1.7931 -0.14112 0.015659 -0.16111 608.51 0 0
|
| 93 |
+
26 0.35355 -0.35355 0.34227 -0.36448 0.02851 2.6294 -1.8298 1.8882 0.073469 0.071197 -0.027588 0.030778 107.33 0 0
|
| 94 |
+
90 -0.47044 -0.16937 -0.47553 -0.15451 1.2395 118.22 111.84 38.293 1.1585 -3.3838 1.775 0.54833 6344.1 0 0
|
| 95 |
+
154 0.047054 0.49778 0.062667 0.49606 0.09748 9.2015 -1.0097 -9.146 1.6922 -0.18682 0.01072 -0.14659 510.81 0 0
|
| 96 |
+
27 0.34227 -0.36448 0.33066 -0.37506 0.02623 2.4489 -1.6481 1.8113 0.15013 0.13661 -0.02353 0.030596 101.62 0 0
|
| 97 |
+
91 -0.47553 -0.15451 -0.48015 -0.1395 1.2553 119.96 114.66 35.274 0.91396 -2.9709 1.8154 0.5074 6620 0 0
|
| 98 |
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|
CylinderKnMa/Kn0p06/simulation0021_Kn0p06Ma4p0/surf/Surf_300000.vtu
ADDED
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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="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="0.02115" RangeMax="1.3632" offset="4512" />
|
| 14 |
+
<DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="1.9421" RangeMax="130.19" offset="6552" />
|
| 15 |
+
<DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-4.0926" RangeMax="130.18" offset="8264" />
|
| 16 |
+
<DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-53.405" RangeMax="53.297" offset="10108" />
|
| 17 |
+
<DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.073398" RangeMax="3.9804" offset="11952" />
|
| 18 |
+
<DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-4.3322" RangeMax="4.3129" offset="13984" />
|
| 19 |
+
<DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.064292" RangeMax="2.0448" offset="16112" />
|
| 20 |
+
<DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.7753" RangeMax="0.77598" offset="18232" />
|
| 21 |
+
<DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="56.905" RangeMax="7274.9" offset="20344" />
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| 22 |
+
<DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0" RangeMax="0" offset="21612" />
|
| 23 |
+
<DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="21664" />
|
| 24 |
+
</CellData>
|
| 25 |
+
<Points>
|
| 26 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="21716" />
|
| 27 |
+
</Points>
|
| 28 |
+
<Cells>
|
| 29 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="23044" />
|
| 30 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="23948" />
|
| 31 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="24440" />
|
| 32 |
+
</Cells>
|
| 33 |
+
</Piece>
|
| 34 |
+
</UnstructuredGrid>
|
| 35 |
+
<AppendedData encoding="base64">
|
| 36 |
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AQAAAACAAABABgAA8QQAAA==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AQAAAACAAABABgAAUwUAAA==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AQAAAACAAABABgAAVQUAAA==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AQAAAACAAABABgAAIwYAAA==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AQAAAACAAABABgAAHQYAAA==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AQAAAACAAABABgAApAMAAA==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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/Kn0p06/simulation0021_Kn0p06Ma4p0/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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| 385 |
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378 0.470440384477113 0.169368960122646
|
| 386 |
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379 0.470440384477113 0.169368960122646
|
| 387 |
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380 0.475528258147577 0.154508497187473
|
| 388 |
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381 0.475528258147577 0.154508497187473
|
| 389 |
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382 0.480146842838472 0.139495553019614
|
| 390 |
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383 0.480146842838472 0.139495553019614
|
| 391 |
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384 0.484291580564316 0.124344943582427
|
| 392 |
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385 0.484291580564316 0.124344943582427
|
| 393 |
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386 0.487958380969374 0.109071620698271
|
| 394 |
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387 0.487958380969374 0.109071620698271
|
| 395 |
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388 0.491143625364344 0.0936906572928622
|
| 396 |
+
389 0.491143625364344 0.0936906572928622
|
| 397 |
+
390 0.493844170297569 0.078217232520115
|
| 398 |
+
391 0.493844170297569 0.078217232520115
|
| 399 |
+
392 0.496057350657239 0.0626666167821518
|
| 400 |
+
393 0.496057350657239 0.0626666167821518
|
| 401 |
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394 0.49778098230154 0.0470541566592569
|
| 402 |
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395 0.49778098230154 0.0470541566592569
|
| 403 |
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396 0.499013364214136 0.0313952597646565
|
| 404 |
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397 0.499013364214136 0.0313952597646565
|
| 405 |
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398 0.499753280182866 0.0157053795390641
|
| 406 |
+
399 0.499753280182866 0.0157053795390641
|
| 407 |
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400 0.5 0
|
| 408 |
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| 409 |
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Lines
|
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1 1 2
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|
CylinderKnMa/Kn0p06/simulation0022_Kn0p06Ma4p1/Grid.pvd
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="Collection" version="0.1"
|
| 3 |
+
byte_order="LittleEndian"
|
| 4 |
+
compressor="vtkZLibDataCompressor">
|
| 5 |
+
<Collection>
|
| 6 |
+
<DataSet timestep="300000" group="" part="0"
|
| 7 |
+
file="Grid/Grid_300000.pvtu"/>
|
| 8 |
+
</Collection>
|
| 9 |
+
</VTKFile>
|
CylinderKnMa/Kn0p06/simulation0022_Kn0p06Ma4p1/Lambda.pvd
ADDED
|
@@ -0,0 +1,9 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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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="Lambda/Lambda_300000.pvtu"/>
|
| 8 |
+
</Collection>
|
| 9 |
+
</VTKFile>
|
CylinderKnMa/Kn0p06/simulation0022_Kn0p06Ma4p1/Surf.pvd
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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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/Kn0p06/simulation0022_Kn0p06Ma4p1/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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 0.06
|
| 13 |
+
variable Ma equal 4.1
|
| 14 |
+
variable To equal 273.0
|
| 15 |
+
variable Tb equal 273.0
|
| 16 |
+
variable theta equal 0.0
|
| 17 |
+
variable mfp equal ${Kn}*${L}
|
| 18 |
+
variable cpmfp equal 4
|
| 19 |
+
variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
|
| 20 |
+
variable sos equal sqrt(${gamma}*${R}*${To})
|
| 21 |
+
variable vo equal ${Ma}*${sos}
|
| 22 |
+
variable vx equal ${vo}*cos(${theta}*2*PI/360)
|
| 23 |
+
variable vy equal ${vo}*sin(${theta}*2*PI/360)
|
| 24 |
+
variable ppc equal 30
|
| 25 |
+
variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
|
| 26 |
+
variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
|
| 27 |
+
variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 28 |
+
variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
|
| 29 |
+
variable nave equal 10000
|
| 30 |
+
variable noutput equal 300000
|
| 31 |
+
clear
|
| 32 |
+
shell mkdir output
|
| 33 |
+
shell mkdir grid
|
| 34 |
+
shell mkdir surf
|
| 35 |
+
seed 7
|
| 36 |
+
dimension 2
|
| 37 |
+
global nrho ${nden}
|
| 38 |
+
global fnum ${Fnum}
|
| 39 |
+
timestep ${tstep}
|
| 40 |
+
global gridcut 1.0 particle/reorder 100 comm/sort yes
|
| 41 |
+
region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
|
| 42 |
+
region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
|
| 43 |
+
region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
|
| 44 |
+
boundary o o p
|
| 45 |
+
create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
|
| 46 |
+
create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
|
| 47 |
+
balance_grid rcb cell
|
| 48 |
+
species gas.species Ar
|
| 49 |
+
mixture air Ar frac 1.0
|
| 50 |
+
mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
|
| 51 |
+
collide vss air gas.vhs
|
| 52 |
+
collide_modify vremax 100 yes remain no nearcp yes 10
|
| 53 |
+
read_surf cylinder.surf
|
| 54 |
+
surf_collide 1 diffuse 273.0 1.0
|
| 55 |
+
surf_modify all collide 1
|
| 56 |
+
fix in emit/face air xlo ylo yhi
|
| 57 |
+
balance_grid rcb cell
|
| 58 |
+
create_particles air n 0
|
| 59 |
+
stats 10000
|
| 60 |
+
stats_style step cpu np nattempt ncoll nscoll npave nscollave
|
| 61 |
+
run 200000
|
| 62 |
+
compute 1 grid all air n nrho massrho u v w
|
| 63 |
+
compute 2 grid all air trot
|
| 64 |
+
compute 3 tvib/grid all air
|
| 65 |
+
compute 4 thermal/grid all air press temp
|
| 66 |
+
fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 67 |
+
dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
|
| 68 |
+
dump_modify 1 format float %12.5g
|
| 69 |
+
compute 5 surf all air n press px py shx shy fx fy etot erot evib
|
| 70 |
+
fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
|
| 71 |
+
dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 72 |
+
dump_modify 2 format float %12.5g
|
| 73 |
+
compute 6 lambda/grid f_1[2] f_1[8] Ar kx
|
| 74 |
+
dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
|
| 75 |
+
dump_modify 3 format float %12.5g
|
| 76 |
+
run 100000
|
| 77 |
+
write_grid grid/final-grid.dat
|
| 78 |
+
write_surf surf/geom.surf
|
CylinderKnMa/Kn0p06/simulation0022_Kn0p06Ma4p1/cylinder.surf
ADDED
|
@@ -0,0 +1,410 @@
|
|
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|
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CylinderKnMa/Kn0p06/simulation0022_Kn0p06Ma4p1/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/Kn0p06/simulation0022_Kn0p06Ma4p1/gas.vhs
ADDED
|
@@ -0,0 +1,9 @@
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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
|
CylinderKnMa/Kn0p06/simulation0022_Kn0p06Ma4p1/grid/Grid_0_300000.vtu
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CylinderKnMa/Kn0p06/simulation0022_Kn0p06Ma4p1/grid/Grid_300000.pvtu
ADDED
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@@ -0,0 +1,81 @@
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| 1 |
+
<?xml version="1.0"?>
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| 2 |
+
<VTKFile type="PUnstructuredGrid" version="0.1"
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| 3 |
+
byte_order="LittleEndian"
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| 4 |
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compressor="vtkZLibDataCompressor">
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| 5 |
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<PUnstructuredGrid GhostLevel="0">
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| 6 |
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<PCellData>
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| 7 |
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<PDataArray type="Float64" Name="id"/>
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| 8 |
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<PDataArray type="Float64" Name="xc"/>
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| 9 |
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<PDataArray type="Float64" Name="yc"/>
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| 10 |
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<PDataArray type="Float64" Name="f_1[1]"/>
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| 11 |
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<PDataArray type="Float64" Name="f_1[2]"/>
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| 12 |
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<PDataArray type="Float64" Name="f_1[3]"/>
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| 13 |
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<PDataArray type="Float64" Name="f_1[4]"/>
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| 14 |
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<PDataArray type="Float64" Name="f_1[5]"/>
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| 15 |
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<PDataArray type="Float64" Name="f_1[6]"/>
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| 16 |
+
<PDataArray type="Float64" Name="f_1[7]"/>
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| 17 |
+
<PDataArray type="Float64" Name="f_1[8]"/>
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| 18 |
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<PDataArray type="Float64" Name="f_1[9]"/>
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| 19 |
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<PDataArray type="Float64" Name="f_1[10]"/>
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| 20 |
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</PCellData>
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| 21 |
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<PPoints>
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| 22 |
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<PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
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| 23 |
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</PPoints>
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| 24 |
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<Piece Source="Grid_0_300000.vtu"/>
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| 25 |
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<Piece Source="Grid_1_300000.vtu"/>
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| 26 |
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<Piece Source="Grid_2_300000.vtu"/>
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| 27 |
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<Piece Source="Grid_3_300000.vtu"/>
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| 28 |
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<Piece Source="Grid_4_300000.vtu"/>
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| 29 |
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<Piece Source="Grid_5_300000.vtu"/>
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| 30 |
+
<Piece Source="Grid_6_300000.vtu"/>
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| 31 |
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<Piece Source="Grid_7_300000.vtu"/>
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| 32 |
+
<Piece Source="Grid_8_300000.vtu"/>
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| 33 |
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<Piece Source="Grid_9_300000.vtu"/>
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| 34 |
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<Piece Source="Grid_10_300000.vtu"/>
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| 35 |
+
<Piece Source="Grid_11_300000.vtu"/>
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| 36 |
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<Piece Source="Grid_12_300000.vtu"/>
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| 37 |
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<Piece Source="Grid_13_300000.vtu"/>
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| 38 |
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<Piece Source="Grid_14_300000.vtu"/>
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| 39 |
+
<Piece Source="Grid_15_300000.vtu"/>
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| 40 |
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<Piece Source="Grid_16_300000.vtu"/>
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| 41 |
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<Piece Source="Grid_17_300000.vtu"/>
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| 42 |
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<Piece Source="Grid_18_300000.vtu"/>
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| 43 |
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<Piece Source="Grid_19_300000.vtu"/>
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| 44 |
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<Piece Source="Grid_20_300000.vtu"/>
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| 45 |
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<Piece Source="Grid_21_300000.vtu"/>
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| 46 |
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<Piece Source="Grid_22_300000.vtu"/>
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| 47 |
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<Piece Source="Grid_23_300000.vtu"/>
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| 48 |
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<Piece Source="Grid_24_300000.vtu"/>
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| 49 |
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<Piece Source="Grid_25_300000.vtu"/>
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| 50 |
+
<Piece Source="Grid_26_300000.vtu"/>
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| 51 |
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<Piece Source="Grid_27_300000.vtu"/>
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| 52 |
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<Piece Source="Grid_28_300000.vtu"/>
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| 53 |
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<Piece Source="Grid_29_300000.vtu"/>
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| 54 |
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<Piece Source="Grid_30_300000.vtu"/>
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| 55 |
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<Piece Source="Grid_31_300000.vtu"/>
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| 56 |
+
<Piece Source="Grid_32_300000.vtu"/>
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| 57 |
+
<Piece Source="Grid_33_300000.vtu"/>
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| 58 |
+
<Piece Source="Grid_34_300000.vtu"/>
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| 59 |
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<Piece Source="Grid_35_300000.vtu"/>
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| 60 |
+
<Piece Source="Grid_36_300000.vtu"/>
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| 61 |
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<Piece Source="Grid_37_300000.vtu"/>
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| 62 |
+
<Piece Source="Grid_38_300000.vtu"/>
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| 63 |
+
<Piece Source="Grid_39_300000.vtu"/>
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| 64 |
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<Piece Source="Grid_40_300000.vtu"/>
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| 65 |
+
<Piece Source="Grid_41_300000.vtu"/>
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| 66 |
+
<Piece Source="Grid_42_300000.vtu"/>
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| 67 |
+
<Piece Source="Grid_43_300000.vtu"/>
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| 68 |
+
<Piece Source="Grid_44_300000.vtu"/>
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| 69 |
+
<Piece Source="Grid_45_300000.vtu"/>
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| 70 |
+
<Piece Source="Grid_46_300000.vtu"/>
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| 71 |
+
<Piece Source="Grid_47_300000.vtu"/>
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| 72 |
+
<Piece Source="Grid_48_300000.vtu"/>
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| 73 |
+
<Piece Source="Grid_49_300000.vtu"/>
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| 74 |
+
<Piece Source="Grid_50_300000.vtu"/>
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| 75 |
+
<Piece Source="Grid_51_300000.vtu"/>
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| 76 |
+
<Piece Source="Grid_52_300000.vtu"/>
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| 77 |
+
<Piece Source="Grid_53_300000.vtu"/>
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| 78 |
+
<Piece Source="Grid_54_300000.vtu"/>
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| 79 |
+
<Piece Source="Grid_55_300000.vtu"/>
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| 80 |
+
</PUnstructuredGrid>
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| 81 |
+
</VTKFile>
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CylinderKnMa/Kn0p06/simulation0022_Kn0p06Ma4p1/grid/Grid_30_300000.vtu
ADDED
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The diff for this file is too large to render.
See raw diff
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CylinderKnMa/Kn0p06/simulation0022_Kn0p06Ma4p1/grid/Grid_31_300000.vtu
ADDED
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The diff for this file is too large to render.
See raw diff
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CylinderKnMa/Kn0p06/simulation0022_Kn0p06Ma4p1/grid/Grid_32_300000.vtu
ADDED
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The diff for this file is too large to render.
See raw diff
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CylinderKnMa/Kn0p06/simulation0022_Kn0p06Ma4p1/grid/Grid_33_300000.vtu
ADDED
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The diff for this file is too large to render.
See raw diff
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CylinderKnMa/Kn0p06/simulation0022_Kn0p06Ma4p1/grid/Grid_34_300000.vtu
ADDED
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The diff for this file is too large to render.
See raw diff
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CylinderKnMa/Kn0p06/simulation0022_Kn0p06Ma4p1/grid/Grid_35_300000.vtu
ADDED
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The diff for this file is too large to render.
See raw diff
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