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- .gitattributes +1 -0
- CylinderKnMa/Kn0p32/simulation0688_Kn0p32Ma5p7/output/grid.300000.dat +3 -0
- CylinderKnMa/Kn0p42/simulation0909_Kn0p42Ma2p8/output/surf.300000.dat +209 -0
- CylinderKnMa/Kn0p42/simulation0909_Kn0p42Ma2p8/surf/Surf_300000.vtu +38 -0
- CylinderKnMa/Kn0p42/simulation0909_Kn0p42Ma2p8/surf/geom.surf +610 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/Grid.pvd +9 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/Lambda.pvd +9 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/Lambda/Lambda_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/Lambda/Lambda_1_300000.vtu +27 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/Lambda/Lambda_300000.pvtu +19 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/Surf.pvd +9 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/config.txt +78 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/cylinder.surf +410 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/gas.species +14 -0
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- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/grid/Grid_1_300000.vtu +35 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/grid/Grid_300000.pvtu +27 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/grid/final-grid.dat +0 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/log.sparta +318 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/mir.txt +3 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/output/grid.300000.dat +0 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/output/lambdakn.300000.dat +0 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/output/surf.300000.dat +209 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/runmpirun128.sh +18 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/runmpirun64.sh +18 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/slurm-28429068.out +200 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/surf/Surf_300000.vtu +38 -0
- CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/surf/geom.surf +610 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/Grid.pvd +9 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/Lambda.pvd +9 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/Lambda/Lambda_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/Lambda/Lambda_1_300000.vtu +27 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/Lambda/Lambda_300000.pvtu +19 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/Surf.pvd +9 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/config.txt +78 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/cylinder.surf +410 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/gas.species +14 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/gas.vhs +9 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/grid/Grid_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/grid/Grid_1_300000.vtu +35 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/grid/Grid_300000.pvtu +27 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/grid/final-grid.dat +0 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/log.sparta +318 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/mir.txt +3 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/output/grid.300000.dat +0 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/output/lambdakn.300000.dat +0 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/output/surf.300000.dat +209 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/runmpirun128.sh +18 -0
- CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/runmpirun64.sh +18 -0
.gitattributes
CHANGED
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@@ -539,3 +539,4 @@ CylinderKnMa/Kn0p32/simulation0684_Kn0p32Ma5p3/output/grid.300000.dat filter=lfs
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CylinderKnMa/Kn0p32/simulation0685_Kn0p32Ma5p4/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
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CylinderKnMa/Kn0p32/simulation0686_Kn0p32Ma5p5/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
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CylinderKnMa/Kn0p32/simulation0687_Kn0p32Ma5p6/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
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CylinderKnMa/Kn0p32/simulation0685_Kn0p32Ma5p4/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
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CylinderKnMa/Kn0p32/simulation0686_Kn0p32Ma5p5/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
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CylinderKnMa/Kn0p32/simulation0687_Kn0p32Ma5p6/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
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CylinderKnMa/Kn0p32/simulation0688_Kn0p32Ma5p7/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
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CylinderKnMa/Kn0p32/simulation0688_Kn0p32Ma5p7/output/grid.300000.dat
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version https://git-lfs.github.com/spec/v1
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oid sha256:50fd0e68022e0ecc2d98e0d0078faf0e41dcd8af43f8db116ae5ba81e02ba81c
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size 12334144
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CylinderKnMa/Kn0p42/simulation0909_Kn0p42Ma2p8/output/surf.300000.dat
ADDED
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| 1 |
+
ITEM: TIMESTEP
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| 2 |
+
300000
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| 3 |
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ITEM: NUMBER OF SURFS
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200
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| 5 |
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ITEM: BOX BOUNDS oo oo pp
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-5 6
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-5 5
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| 8 |
+
-0.5 0.5
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| 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]
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| 10 |
+
1 0.5 0 0.49975 -0.015705 0.00228 0.020516 -0.020514 0.00032225 4.0993e-06 0.00026095 -0.00032215 9.1605e-06 1.3053 0 0
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| 11 |
+
129 -0.31871 0.38526 -0.30645 0.39508 0.07207 0.7363 0.46037 -0.57463 0.12196 0.097705 0.0091467 -0.0074913 97.798 0 0
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| 12 |
+
2 0.49975 -0.015705 0.49901 -0.031395 0.00232 0.021037 -0.021014 0.00099099 2.0791e-05 0.00044088 -0.00032975 2.2491e-05 1.5258 0 0
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| 13 |
+
130 -0.30645 0.39508 -0.29389 0.40451 0.07112 0.72299 0.4341 -0.57816 0.13187 0.099011 0.0088898 -0.0075262 97.442 0 0
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| 14 |
+
3 0.49901 -0.031395 0.49778 -0.047054 0.00232 0.020977 -0.020912 0.0016458 3.6688e-05 0.00046616 -0.00032789 3.3173e-05 0.99379 0 0
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| 15 |
+
131 -0.29389 0.40451 -0.28104 0.41354 0.06789 0.69542 0.39987 -0.56896 0.1303 0.091576 0.0083276 -0.0074984 92.677 0 0
|
| 16 |
+
4 0.49778 -0.047054 0.49606 -0.062667 0.00229 0.021205 -0.021077 0.002327 0.00019468 0.0017634 -0.00032801 6.4248e-05 1.7483 0 0
|
| 17 |
+
132 -0.28104 0.41354 -0.26791 0.42216 0.06652 0.67786 0.37216 -0.56656 0.13504 0.088705 0.0079667 -0.0075058 89.88 0 0
|
| 18 |
+
5 0.49606 -0.062667 0.49384 -0.078217 0.00248 0.022338 -0.022115 0.0031475 8.3247e-05 0.00058493 -0.00034606 5.8626e-05 0.86684 0 0
|
| 19 |
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133 -0.26791 0.42216 -0.25452 0.43037 0.06116 0.61923 0.32355 -0.52798 0.13311 0.081573 0.0071729 -0.0070119 83.013 0 0
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| 20 |
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6 0.49384 -0.078217 0.49114 -0.093691 0.00202 0.018146 -0.017876 0.0031198 0.0001085 0.00062169 -0.00027908 5.8769e-05 0.591 0 0
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| 22 |
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7 0.49114 -0.093691 0.48796 -0.10907 0.00202 0.019272 -0.018872 0.0039081 -0.00039302 -0.0018978 -0.00030259 3.1576e-05 1.5091 0 0
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| 23 |
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| 24 |
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8 0.48796 -0.10907 0.48429 -0.12434 0.00206 0.018389 -0.017881 0.0042928 1.582e-06 6.5895e-06 -0.00028084 6.7533e-05 1.154 0 0
|
| 25 |
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136 -0.227 0.4455 -0.21289 0.45241 0.05145 0.52097 0.2292 -0.46785 0.1322 0.064765 0.0056766 -0.0063313 71.532 0 0
|
| 26 |
+
9 0.48429 -0.12434 0.48015 -0.1395 0.00194 0.017155 -0.016547 0.0045266 0.00025519 0.0009328 -0.0002559 8.5753e-05 1.0815 0 0
|
| 27 |
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137 -0.21289 0.45241 -0.19857 0.45888 0.04936 0.49837 0.20509 -0.45421 0.1338 0.060413 0.005323 -0.0061856 72.335 0 0
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| 28 |
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10 0.48015 -0.1395 0.47553 -0.15451 0.00204 0.018084 -0.017285 0.0053175 0.00043945 0.0014285 -0.00026459 0.00010596 1.0243 0 0
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| 29 |
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138 -0.19857 0.45888 -0.18406 0.46489 0.04864 0.48684 0.18631 -0.44978 0.13623 0.056427 0.0050661 -0.0061785 69.392 0 0
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| 30 |
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11 0.47553 -0.15451 0.47044 -0.16937 0.00205 0.017534 -0.016589 0.0056795 0.00012346 0.00036059 -0.00025862 9.4874e-05 0.92646 0 0
|
| 31 |
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139 -0.18406 0.46489 -0.16937 0.47044 0.04464 0.44703 0.15801 -0.41817 0.13153 0.049702 0.004548 -0.0057877 63.177 0 0
|
| 32 |
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12 0.47044 -0.16937 0.46489 -0.18406 0.00184 0.015899 -0.014873 0.00562 0.00039483 0.0010449 -0.00022741 0.00010469 1.0199 0 0
|
| 33 |
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140 -0.16937 0.47044 -0.15451 0.47553 0.04276 0.4273 0.13841 -0.40427 0.13278 0.045461 0.0042597 -0.0056359 60.781 0 0
|
| 34 |
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13 0.46489 -0.18406 0.45888 -0.19857 0.00194 0.016353 -0.015108 0.0062581 0.0008846 0.0021356 -0.00022342 0.00013184 0.88493 0 0
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| 35 |
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141 -0.15451 0.47553 -0.1395 0.48015 0.04018 0.39933 0.11742 -0.38167 0.12837 0.039492 0.0038607 -0.0053747 57.299 0 0
|
| 36 |
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14 0.45888 -0.19857 0.45241 -0.21289 0.00203 0.017708 -0.016139 0.0072872 0.001186 0.0026268 -0.00023488 0.00015572 1.1157 0 0
|
| 37 |
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142 -0.1395 0.48015 -0.12434 0.48429 0.037 0.36713 0.096876 -0.35412 0.1199 0.032802 0.003405 -0.005047 51.663 0 0
|
| 38 |
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15 0.45241 -0.21289 0.4455 -0.227 0.00191 0.016108 -0.014466 0.0070866 0.0012388 0.0025287 -0.00020776 0.00015103 1.3836 0 0
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| 42 |
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17 0.43815 -0.24088 0.43037 -0.25452 0.00196 0.016495 -0.014328 0.0081725 0.001977 0.0034661 -0.000194 0.00018281 1.5096 0 0
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| 44 |
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18 0.43037 -0.25452 0.42216 -0.26791 0.00208 0.017593 -0.015001 0.0091924 0.0024254 0.003958 -0.00019752 0.00020656 2.1457 0 0
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19 0.42216 -0.26791 0.41354 -0.28104 0.00202 0.016952 -0.014169 0.0093073 0.0027636 0.0042073 -0.00017915 0.00021228 1.449 0 0
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147 -0.062667 0.49606 -0.047054 0.49778 0.02733 0.26577 0.029164 -0.26417 0.11001 0.012146 0.0021861 -0.0039586 38.022 0 0
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20 0.41354 -0.28104 0.40451 -0.29389 0.00192 0.01557 -0.012739 0.0089529 0.0029 0.0041263 -0.00015454 0.00020544 1.1638 0 0
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|
CylinderKnMa/Kn0p42/simulation0909_Kn0p42Ma2p8/surf/Surf_300000.vtu
ADDED
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AQAAAACAAABABgAA/AUAAA==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AQAAAACAAABABgAAHQYAAA==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AQAAAACAAABABgAAEwYAAA==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AQAAAACAAABABgAAJQYAAA==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AQAAAACAAABABgAANAYAAA==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AQAAAACAAABABgAANAYAAA==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AQAAAACAAABABgAAOAYAAA==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AQAAAACAAABABgAAwwQAAA==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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/Kn0p42/simulation0909_Kn0p42Ma2p8/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
|
| 7 |
+
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| 8 |
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1 0.5 0
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_AQAAAACAAADgCwAA7wIAAA==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AQAAAACAAADgCwAAQgAAAA==eJzzFe3xetUi5iB1IFrB8aOYw5l6j/21seIOM7Ukpl45Ke7gOyo/Kj8qPyo/Kj8qPyo/Kj8qPyo/Kj9k5AFM17t9AQAAAACAAADgCwAAHAIAAA==eJyF1ktIlGEUxvHRrMZb5tgidOFCCxdugtHICk0hlGgcWwWCOVaIWLiQpBQ0SYKkIFCCApWBBheidoMovExagoM7o88bGOQFNIb4KETxNvU+2z99m9/mYy7vOe85T3g9eCYjlBIMgwMz1xpKK9jbX3bfNNkutKTr/smxh2xse/r1cCq77PN/cw8mowFPQYqviL1xdrH0iXUUjbw1Pl3LOv49bMvs+XtXs5LQ048uVC57j6Dvq/6+mYjmnhu+8syfgJo6xaOmDnHoiTvRL5xprDnHWDQzq/nxh1onumC11l/sPIyWvx792T10CJ1v37m5sXQQ7ciLutyWyLqO5U8s5MSgofHC/pqKA6jp02h0smGkJ3UwCm2NvNVrOVDTR+xepEqvvLujZJ3rQTDk30ZNnbfQW3cbA9lFm6ip0wZq6vAHvbQW407O/Y2ac7TRYu/28XrrFzrxeeXHnDeMlnne9T2119BNz1Tjqc5VtG3meeFqzhKaVFUd12V9R805z6Hmc76ibqvmZcAOob1vOz6V2R9Rx38evZdP6ntQ/U5U/xPVOaE6Z1R1QlVnVH2Cqs9Q9SmqPkd1T1DdM1T3FNU9RzUnUM0ZVG1UQGrOoZqTqOYsqjmNas6j2hOo9gyqPYVqz6Hak6j2LKo9jWrPo8oJqHIGqpyCKuegykmochaqnIYq56HKiahyJqqciirnosrJqHI2qpyO7gM4YsIcAQAAAACAAADgCwAA+QoAAA==eJxFVnk4ltsXvYUyJBQp/UppQopUCLUokiEhqZCIKKRBSJMMZUiiVOqib/580/tNhCtFKQolRUUSIeoqylAa/F4997n3r/28+5zznufstdfaiyckFJ/tosAhWpDw8QIFJnyOgWIJBcGv/mw1ekJBWlfVQ8N4Kqao/bKty6KiLkbFpySfimJ35hKinwpj4bzJL61ocOt92p8VS0O1erjq4Xwaho4OVx5roEElf/w6j0IanK/cq+h6SwO761A8dTIdWiOLira50jHfzlxmniEdN5ru+uj60tHF37Rq4Vk6Vq+P7uoU0RGQXiK/OZMO49nMKbl1dFw83yLnoMjAM935VxssGNhUreLdqcCA6b23NE8bBt5WbLVICWeAq3Tkqh+dgZ3XdMp6djBwQceY336OgdcXE097PmWg9G5vnWg6E1PrteKd5Zl43jrlVIwDE46RobLtEUxsYWXFU+hMGBmWrTEnvz1iPSfNZjGRrBD8dVojE7l/B66HFgsu+w7ojBQw8XX5ze3xw0xszlD0V7JmoX700BLPUyzkPj51dHkwC9+F4U8Ds1kYrS7YM66JhW8qPYVCGTbKZ9bnlT1ggepoNjBNhY3Oa+Ov5tiykS9DLA5MYCMrWYcRFsQGu9ZM2fU0GxFeOprZ5Wxo/PF2xooBNm73FwRdls0Dc0+nj69HHp7tFIrenMzDSj25Fp/6PHjP1L//7c888N53Rl2ryUNUjvK3oAkcLHs6JOSv4CBhMcVlkzYH3quOBeVv4SD8+v/kkuI4iCrxISvHwYtn0e4/Wjn4tVBd540qFw9Z3m07lnLhr3dBKOvGBd1b63afAxdXUv3nH0vgQuGeR11+BReUinfOolEu5k74a0hugIv8w3LNSYt4ELREUoudeaAV0GoPhvGw8rjSh/slPCindI0z+MyD/LhvU/TN+PAJWvfrqjUfibcXhjxbx8eb5oEguPHRaDIGNB9WG5d4fTjLh69o5o0lD/moLGpvz3vFh222s6Shk4/oGqvdP77zweqjvIzYL0Ck60BZpa8ADd5hRs/8BNBW7XZqchfAlLOH/zNHgNeWDXNN7wqwSmWRUU6jAH6pG9Q9yVg3uYjIUiMwSIu8rdgngP3S0bk/hwSQr7riUt4mQGL5Dw3jrQTulnhXRO0iYHCz2vb4IgJxD78Oz9AkcLBra/gpXwJNXfcHEhYQUNYsZvMsCLwae44NgRynV/pJsQSufYxw23mZQEn/x6pt+wgk21B3t4CAiefkAZdmAvEhH7tjigm0lnWszyggMOXWsOkeIYFF1IHT6V/+2/fI1a6yoYpAjPH9xJfVBNrF1++5zRei3/bYzfTJQtzSGOtgAvXtqX7OdeR/k5FiHi7EEQXnE3OihTh0J+EJP1QIq33ubJntQiiOtfs5IVLPpNpxEoTwVwjx/5uMRgERvHcMIVaPlU1ZhIz8mSdqJoogu/rZDT91EZ5cNOZQybxduoOYflAEc8nnat9UER4dkFkDMu6MTs/VSRThjHb2plk8cl930PuIsyIYKd+1q8gUodC6tzCSJoLl8Oylqz6K0Kd+iJkrJ0bsZcJ3Zr8I9ksynZx7RUiJ1HA76SbGG4MF1fa6YtgwWDuclouhp5Ccfw5iPJrh2jTzuBivGqflXkkRQ/w9rU18XYx8M/+sqfliTJILnThvSIzsFPfpXvISaIwvrsiYKMH18MIPTD0JApv3htgYSZCcNcV+wFgC1VrLYpaVBMu8JPp3NkqgTfl+KLBE8o/OSXBea+qupRwJVjjt48TflMD7Qdo5KzJS2mq1bgolCC1ILHUpkyCzlJltOCRBc3DjjFZNKXjVeuOWKUhxz1R9jddEKdzTHrT/midFddwYQFIsP+sSKrdRCqLITN/UVYoWXUmjS7AU673/0GI6SjGmbjXk/sCgJxYaB6To+asv/gtHijMXV8Q4hUhhMFBubHJYiqNmsT35YVL0fpneefWKFJGbH4YsIPObxMGqXZHSf3hJ3rubHn4yRYoiOceIcYZSuGyhxm4zkSK8v3C19S4pajMbScWU4kVDhx6vRwKb/f19uTJS/H16/I14NSkOtQbnFP1PCqpdaq5XtwQ7Jf2+Z1sk0Gk7FhNPvjvZ2rezTkcKTf1RT59iCSII3QWyPAmm0YmCYbJ+ZLFTOi9L8F7B0ZISKoGtf++n0PMkLuN9LePPSPCbVmkSuLc97gtUlkAzoPpzxAwJ6NvC9q6cT+I0l8guXS7B/snPg1WOiXFwteJz+gES74crrnmnilE9Vd7iHlcMjoOX91uyX5YnHy1nrxJDv8NhtdJaMTo0knIz7cWwi1K12NwtwtQvfIZGqwhOrSHyadUicP0v1S8vFcGK6UBCKcJFTpyrfY4I56evLqy7JMKbW5Ozl5P9a7jpXYrbWhG2bd6uHukqwp1S4/0NEf/xYNHI8Uw1TRHkpl9G6zQRvqm6n/MhefP94tdXCkMkL4uTPlXwhbC8rWsdQxViUpXPp19HhOC4tHj/2CdEsu0ki1R7IbbsMy033SjEYHFTys/dQpxPbega3ULyttG1QdZViMCEwolz5wjxY9+m9BcfCSQmGp3UGibA2qnz2nyUgI/hRrU3AwS+VGlPsiTzLZd2GBV1kfpkOORz/AmB586ZCTZNBNr+ZD0mJRGzZ/BqR3kEjhTN0iIxwwPPdZzSJAKTtNU26yQT0Mjw09gfQGDWmh6bOA6BHuXhDK+LBOaM0T2TwFmyKFwfArYv+gYcthOIFt0Lu76FQHN50onxugT8F3Rtt19MYFRnT8389wJEkerb0iXA94yxQS5Ad+g46iCpx42HghZOfySAU+rukQVkvsfurl74FwFy/YIdZ3WQ+k12x+utAsQMzbMN2CbAPHtV4tRaAUb6DKzXWwkwK9NobBIiWX7sJj5kpGszPr7jgxJGKbP4xoeiyrUdwx58bMZ+fTc/PkaO3gosDuXjgSjF1Pg8H4Yt8yfEXuLhiTc74/JDHnzNBc2UIR6aOvrsF03ho11OjbNXkwefwBe6H0x5KFlfHTs7mIexqXgnhwelrDJBSTQXFQsqc+rLufAodvn2/DMXpqFemS/n8DD6aKhbeZiDmjF50OTii8eOxGBy3qadnxY0KZwLF163Sq0lBzSl915dhzlQ+nRIrTWZAw3t6+k5hRysPe5bGRObB+Pw2Gr/2jwweIdJC0Cupzq8lyXnv8ENe5JabFj/Fo48tES3r/Kyyvv3nNHLIyQybISpbw/RLWAjOiqAbzLKRvqYDTPIQ8CHGXeWVbNQcGD76do/2KhbO379FVM2PJ4O2jwn/Yrmp8reK5tY2LVkjVzZERZWFR2uib7PAnn4lB7pf+K0bp2OeMtEKm3imgmLWWhZZDeO5suCqsij91o6C4z20bQ8FyY6vlLrk64yUeVnFHO6hgmLWVVHgweZyJph8nCklgHzmiuavtpMVDqaktLyn18z+3ongOvLAFtH4/60OAZ+TvXm55UzoFv/MzvuBwNZ9MpP+0bo//rJ5pEehJxk4JLSpZglQtIntu6pVL5NR2c+uyP7BR0nfhsqOkwuyLYp6jIQHliyVtuAjvNmATI9u+iQeVya6JhGx+CG+OamO3QkLQ76lHqDBpMJOarm3TTwon4TBnaigz9L1tBha7DrhZ8TDVEvhRYt0TQMqq+yeZVNQ+Dg5MJ1d2kIaSAU9p6jwqF+5cX9N6iQkdd2yO+gwiR9qYlAnYY81w3GvCgK+OY8uaEsCtQ6lTw3lFHwe5y/o+D/4pDDJg==AQAAAACAAADgCwAAUAoAAA==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AQAAAACAAACALwAAdQcAAA==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AQAAAACAAADgCwAALgIAAA==eJwtxRGUIgoAAMD+/e69IAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAgWFhYOdkYmGPgVctgRRx1z3AknnXLaGWedc94FF11y2RVXXXPdDTfdctsdd91z3wMPPfLYE08989wLL73y2htvvfPeBx998tkXX33z3Q8//fLbH3/52z8O/Pdb0CGHHXHUMcedcNIpp51x1jnnXXDRJZddcdU1191w0y233XHXPfc98NAjjz3x1DPPvfDSK6+98dY7733w0SefffHVN9/98NMvv/3xl7/948Cf34IOOeyIo4457oSTTjntjLPOOe+Ciy657Iqrrrnuhptuue2Ou+6574GHHnnsiaeeee6Fl1557Y233nnvg48++eyLr7757oeffvntj7/87R8H/v8t6JDDjjjqmONOOOmU084465zzLrjoksuuuOqa62646Zbb7rjrnvseeOiRx5546pnnXnjpldfeeOud9z746JPPvvjqm+9++OmX3/74y9/+cSAohxx2xFHHHHfCSaecdsZZ55x3wUWXXHbFVddcd8NNt9x2x1333PfAQ4889sRTzzz3wkuvvPbGW++898FHn3z2xVfffPfDT7/89sdf/vaPA39/CzrksCOOOua4E0465bQzzjrnvAsuuuSyK6665robbrrltjvuuue+Bx565LEnnnrmuRdeeuW1N956570PPvrksy+++ua7H3765bc//gcTyr3KAQAAAACAAAB8AQAADQAAAA==eJzj5BwFAwUA8vkNXQ==
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/Lambda/Lambda_300000.pvtu
ADDED
|
@@ -0,0 +1,19 @@
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|
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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 |
+
</PUnstructuredGrid>
|
| 19 |
+
</VTKFile>
|
CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/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/Kn0p42/simulation0910_Kn0p42Ma2p9/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 0.42
|
| 13 |
+
variable Ma equal 2.9
|
| 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/Kn0p42/simulation0910_Kn0p42Ma2p9/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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
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+
155 155 156
|
| 366 |
+
156 156 157
|
| 367 |
+
157 157 158
|
| 368 |
+
158 158 159
|
| 369 |
+
159 159 160
|
| 370 |
+
160 160 161
|
| 371 |
+
161 161 162
|
| 372 |
+
162 162 163
|
| 373 |
+
163 163 164
|
| 374 |
+
164 164 165
|
| 375 |
+
165 165 166
|
| 376 |
+
166 166 167
|
| 377 |
+
167 167 168
|
| 378 |
+
168 168 169
|
| 379 |
+
169 169 170
|
| 380 |
+
170 170 171
|
| 381 |
+
171 171 172
|
| 382 |
+
172 172 173
|
| 383 |
+
173 173 174
|
| 384 |
+
174 174 175
|
| 385 |
+
175 175 176
|
| 386 |
+
176 176 177
|
| 387 |
+
177 177 178
|
| 388 |
+
178 178 179
|
| 389 |
+
179 179 180
|
| 390 |
+
180 180 181
|
| 391 |
+
181 181 182
|
| 392 |
+
182 182 183
|
| 393 |
+
183 183 184
|
| 394 |
+
184 184 185
|
| 395 |
+
185 185 186
|
| 396 |
+
186 186 187
|
| 397 |
+
187 187 188
|
| 398 |
+
188 188 189
|
| 399 |
+
189 189 190
|
| 400 |
+
190 190 191
|
| 401 |
+
191 191 192
|
| 402 |
+
192 192 193
|
| 403 |
+
193 193 194
|
| 404 |
+
194 194 195
|
| 405 |
+
195 195 196
|
| 406 |
+
196 196 197
|
| 407 |
+
197 197 198
|
| 408 |
+
198 198 199
|
| 409 |
+
199 199 200
|
| 410 |
+
200 200 1
|
CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/gas.species
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Species data
|
| 2 |
+
|
| 3 |
+
# species name
|
| 4 |
+
# molecular weight (atomic mass units, e.g. 16 for oxygen)
|
| 5 |
+
# molecular mass (kg)
|
| 6 |
+
# rotational degrees of freedom (integer, unitless)
|
| 7 |
+
# inverse rotational relaxtion number (unitless)
|
| 8 |
+
# vibrational degrees of freedom (integer, unitless)
|
| 9 |
+
# inverse vibrational relaxation number (unitless)
|
| 10 |
+
# vibrational temperature (K)
|
| 11 |
+
# species weight (unitless)
|
| 12 |
+
# multiple of electon charge (1 for a proton)
|
| 13 |
+
|
| 14 |
+
Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
|
CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/gas.vhs
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# VHS collision model parameters for each species
|
| 2 |
+
|
| 3 |
+
# species name
|
| 4 |
+
# diameter (m)
|
| 5 |
+
# omega (unitless)
|
| 6 |
+
# tref (referenced temperature)
|
| 7 |
+
# alpha (unitless)
|
| 8 |
+
|
| 9 |
+
Ar 4.17e-10 0.81 273 1.0
|
CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/grid/Grid_0_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/grid/Grid_1_300000.vtu
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="480" NumberOfCells="380" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="101" RangeMax="9880" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="5.6298" RangeMax="5.9471" offset="1028" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.9474" RangeMax="4.9474" offset="1140" />
|
| 11 |
+
<DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="20.382" RangeMax="45.753" offset="1884" />
|
| 12 |
+
<DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="1.9747e+19" RangeMax="4.4326e+19" offset="4160" />
|
| 13 |
+
<DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="1.3092e-06" RangeMax="2.9388e-06" offset="7944" />
|
| 14 |
+
<DataArray type="Float64" Name="f_1[4]" format="appended" RangeMin="580.71" RangeMax="858.73" offset="11744" />
|
| 15 |
+
<DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-116.24" RangeMax="114.69" offset="13456" />
|
| 16 |
+
<DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-4.7024" RangeMax="2.9772" offset="16372" />
|
| 17 |
+
<DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.11305" RangeMax="0.22503" offset="20032" />
|
| 18 |
+
<DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="334.74" RangeMax="472.31" offset="23524" />
|
| 19 |
+
<DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0" RangeMax="0" offset="25256" />
|
| 20 |
+
<DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0" RangeMax="0" offset="25316" />
|
| 21 |
+
</CellData>
|
| 22 |
+
<Points>
|
| 23 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.5771712403" RangeMax="7.8102496759" offset="25376" />
|
| 24 |
+
</Points>
|
| 25 |
+
<Cells>
|
| 26 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="27164" />
|
| 27 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="29736" />
|
| 28 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="30504" />
|
| 29 |
+
</Cells>
|
| 30 |
+
</Piece>
|
| 31 |
+
</UnstructuredGrid>
|
| 32 |
+
<AppendedData encoding="base64">
|
| 33 |
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_AQAAAACAAADgCwAA7wIAAA==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AQAAAACAAADgCwAAQgAAAA==eJzzFe3xetUi5iB1IFrB8aOYw5l6j/21seIOM7Ukpl45Ke7gOyo/Kj8qPyo/Kj8qPyo/Kj8qPyo/Kj9k5AFM17t9AQAAAACAAADgCwAAHAIAAA==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AQAAAACAAADgCwAABAsAAA==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AQAAAACAAADgCwAA8QQAAA==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AQAAAACAAADgCwAAeQgAAA==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AQAAAACAAADgCwAAKAoAAA==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AQAAAACAAADgCwAAAQUAAA==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eJztwQENAAAAwqD3T20PBxQAAPBiC+AAAQ==AQAAAACAAADgCwAAGQAAAA==eJztwQENAAAAwqD3T20PBxQAAPBiC+AAAQ==AQAAAACAAACAFgAAKgUAAA==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AQAAAACAAACALwAAdQcAAA==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AQAAAACAAADgCwAALgIAAA==eJwtxRGUIgoAAMD+/e69IAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAgWFhYOdkYmGPgVctgRRx1z3AknnXLaGWedc94FF11y2RVXXXPdDTfdctsdd91z3wMPPfLYE08989wLL73y2htvvfPeBx998tkXX33z3Q8//fLbH3/52z8O/Pdb0CGHHXHUMcedcNIpp51x1jnnXXDRJZddcdU1191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|
| 34 |
+
</AppendedData>
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| 35 |
+
</VTKFile>
|
CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/grid/Grid_300000.pvtu
ADDED
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<?xml version="1.0"?>
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| 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 |
+
</PUnstructuredGrid>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/grid/final-grid.dat
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/log.sparta
ADDED
|
@@ -0,0 +1,318 @@
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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 |
+
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 0.42
|
| 17 |
+
variable Ma equal 2.9
|
| 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 0.42*${L}
|
| 23 |
+
variable mfp equal 0.42*1
|
| 24 |
+
variable cpmfp equal 4
|
| 25 |
+
variable nden equal 1.0/sqrt(2.0)/${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}*${Kn})
|
| 29 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.42/${cpmfp}*${Kn})
|
| 30 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.42/4*${Kn})
|
| 31 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.42/4*0.42)
|
| 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 2.9*${sos}
|
| 38 |
+
variable vo equal 2.9*307.815564238681
|
| 39 |
+
variable vx equal ${vo}*cos(${theta}*2*PI/360)
|
| 40 |
+
variable vx equal 892.665136292175*cos(${theta}*2*PI/360)
|
| 41 |
+
variable vx equal 892.665136292175*cos(0*2*PI/360)
|
| 42 |
+
variable vy equal ${vo}*sin(${theta}*2*PI/360)
|
| 43 |
+
variable vy equal 892.665136292175*sin(${theta}*2*PI/360)
|
| 44 |
+
variable vy equal 892.665136292175*sin(0*2*PI/360)
|
| 45 |
+
variable ppc equal 30
|
| 46 |
+
variable xncells equal (${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)/0.42*${cpmfp}
|
| 50 |
+
variable xncells equal (6--5)/0.42*4
|
| 51 |
+
variable yncells equal (${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)/0.42*${cpmfp}
|
| 55 |
+
variable yncells equal (5--5)/0.42*4
|
| 56 |
+
variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 57 |
+
variable Fnum equal 2.93511032428949e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 58 |
+
variable Fnum equal 2.93511032428949e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 59 |
+
variable Fnum equal 2.93511032428949e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 60 |
+
variable Fnum equal 2.93511032428949e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
|
| 61 |
+
variable Fnum equal 2.93511032428949e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
|
| 62 |
+
variable Fnum equal 2.93511032428949e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
|
| 63 |
+
variable Fnum equal 2.93511032428949e+19*(6--5)*(5--5)/30/104.761904761905/${yncells}
|
| 64 |
+
variable Fnum equal 2.93511032428949e+19*(6--5)*(5--5)/30/104.761904761905/95.2380952380952
|
| 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}/${xncells}/10/4
|
| 68 |
+
variable tstep equal (--5+6)/892.665136292175/${xncells}/10/4
|
| 69 |
+
variable tstep equal (--5+6)/892.665136292175/104.761904761905/10/4
|
| 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 2.93511032428949e+19
|
| 81 |
+
global fnum ${Fnum}
|
| 82 |
+
global fnum 1.07865304417639e+16
|
| 83 |
+
timestep ${tstep}
|
| 84 |
+
timestep 2.94063237520773e-06
|
| 85 |
+
global gridcut 1.0 particle/reorder 100 comm/sort yes
|
| 86 |
+
region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
|
| 87 |
+
region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
|
| 88 |
+
region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
|
| 89 |
+
boundary o o p
|
| 90 |
+
create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
|
| 91 |
+
create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
|
| 92 |
+
create_box -5 6 ${ymin} ${ymax} -0.5 0.5
|
| 93 |
+
create_box -5 6 -5 ${ymax} -0.5 0.5
|
| 94 |
+
create_box -5 6 -5 5 -0.5 0.5
|
| 95 |
+
Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
|
| 96 |
+
create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
|
| 97 |
+
create_grid 104.761904761905 ${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 104.761904761905 95.2380952380952 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 43651 child grid cells
|
| 100 |
+
CPU time = 0.162408 secs
|
| 101 |
+
create/ghost percent = 0.690908 99.3091
|
| 102 |
+
balance_grid rcb cell
|
| 103 |
+
Balance grid migrated 43561 cells
|
| 104 |
+
CPU time = 0.193278 secs
|
| 105 |
+
reassign/sort/migrate/ghost percent = 80.8399 0.0182018 7.24558 11.8964
|
| 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 892.665136292175 ${vy} 0.0 temp ${To}
|
| 110 |
+
mixture air Ar vstream 892.665136292175 0 0.0 temp ${To}
|
| 111 |
+
mixture air Ar vstream 892.665136292175 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 |
+
304 0 = cells overlapping surfs, overlap cells with unmarked corner pts
|
| 121 |
+
38993 4354 304 = cells outside/inside/overlapping surfs
|
| 122 |
+
304 = surf cells with 1,2,etc splits
|
| 123 |
+
109.215 109.215 = cell-wise and global flow volume
|
| 124 |
+
CPU time = 0.149897 secs
|
| 125 |
+
read/check/sort/surf2grid/ghost/inout/particle percent = 22.123 49.0344 1.88645 14.7172 12.2389 3.99897 0.0634089
|
| 126 |
+
surf2grid time = 0.0220606 secs
|
| 127 |
+
map/comm1/comm2/comm3/comm4/split percent = 14.5694 24.8155 3.87886 1.8526 12.4903 6.68364
|
| 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 1350 cells
|
| 133 |
+
CPU time = 0.0290271 secs
|
| 134 |
+
reassign/sort/migrate/ghost percent = 8.74964 0.116339 31.7875 59.3465
|
| 135 |
+
create_particles air n 0
|
| 136 |
+
Created 297182 particles
|
| 137 |
+
CPU time = 0.0116762 secs
|
| 138 |
+
stats 10000
|
| 139 |
+
stats_style step cpu np nattempt ncoll nscoll npave nscollave
|
| 140 |
+
run 200000
|
| 141 |
+
Memory usage per proc in Mbytes:
|
| 142 |
+
particles (ave,min,max) = 1.6084 0 1.6875
|
| 143 |
+
grid (ave,min,max) = 2.47327 1.51379 4.32629
|
| 144 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 145 |
+
total (ave,min,max) = 4.10226 3.22189 6.03439
|
| 146 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 147 |
+
0 0 297182 0 0 0 0 0
|
| 148 |
+
10000 9.6476045 327773 6435 5418 7 314256.06 8.8239
|
| 149 |
+
20000 19.01233 328026 6510 5490 15 321267.1 8.89135
|
| 150 |
+
30000 28.762927 328519 6560 5499 8 323622.44 8.9146333
|
| 151 |
+
40000 38.835883 328681 6430 5415 8 324904.28 8.91695
|
| 152 |
+
50000 48.220034 328688 6573 5565 10 325656.35 8.92192
|
| 153 |
+
60000 57.987903 328299 6541 5533 8 326170.83 8.9257
|
| 154 |
+
70000 69.662126 328029 6499 5471 14 326536.23 8.9273571
|
| 155 |
+
80000 79.018112 329341 6483 5420 11 326811.47 8.9312875
|
| 156 |
+
90000 88.86748 328031 6491 5523 14 327020.44 8.9319889
|
| 157 |
+
100000 98.886769 328061 6503 5443 9 327162.54 8.93621
|
| 158 |
+
110000 108.28993 328152 6476 5474 12 327288.8 8.9344545
|
| 159 |
+
120000 118.06036 328515 6555 5544 9 327418.68 8.9374667
|
| 160 |
+
130000 129.39756 328752 6495 5463 8 327499.85 8.9405
|
| 161 |
+
140000 138.73887 328402 6569 5549 7 327578.2 8.9405214
|
| 162 |
+
150000 148.52967 328078 6325 5365 11 327626.33 8.9410067
|
| 163 |
+
160000 158.59372 329215 6534 5545 6 327691.44 8.941275
|
| 164 |
+
170000 168.00043 328771 6556 5545 8 327765.45 8.9422588
|
| 165 |
+
180000 177.73535 329182 6492 5511 9 327812.99 8.9413167
|
| 166 |
+
190000 188.95792 328917 6463 5485 7 327873.04 8.9467947
|
| 167 |
+
200000 198.29825 328350 6416 5425 6 327906.03 8.944445
|
| 168 |
+
Loop time of 198.299 on 128 procs for 200000 steps with 328350 particles
|
| 169 |
+
|
| 170 |
+
MPI task timing breakdown:
|
| 171 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 172 |
+
---------------------------------------------------------------
|
| 173 |
+
Move | 0.021824 | 8.0211 | 46.296 | 356.1 | 4.04
|
| 174 |
+
Coll | 0.22406 | 7.621 | 54.75 | 356.8 | 3.84
|
| 175 |
+
Sort | 0.076289 | 1.2862 | 7.7801 | 147.7 | 0.65
|
| 176 |
+
Comm | 51.458 | 84.327 | 95.397 | 100.3 | 42.53
|
| 177 |
+
Modify | 0.018772 | 0.10217 | 1.9173 | 86.9 | 0.05
|
| 178 |
+
Output | 0.003698 | 0.0074975 | 0.0090156 | 0.8 | 0.00
|
| 179 |
+
Other | | 96.93 | | | 48.88
|
| 180 |
+
|
| 181 |
+
Particle moves = 65581206076 (65.6B)
|
| 182 |
+
Cells touched = 68710257006 (68.7B)
|
| 183 |
+
Particle comms = 176076914 (176M)
|
| 184 |
+
Boundary collides = 0 (0K)
|
| 185 |
+
Boundary exits = 17601439 (17.6M)
|
| 186 |
+
SurfColl checks = 85592033 (85.6M)
|
| 187 |
+
SurfColl occurs = 1788889 (1.79M)
|
| 188 |
+
Surf reactions = 0 (0K)
|
| 189 |
+
Collide attempts = 1425394867 (1.43B)
|
| 190 |
+
Collide occurs = 1110263448 (1.11B)
|
| 191 |
+
Reactions = 0 (0K)
|
| 192 |
+
Particles stuck = 0
|
| 193 |
+
Axisymm bad moves = 0
|
| 194 |
+
|
| 195 |
+
Particle-moves/CPUsec/proc: 2.58374e+06
|
| 196 |
+
Particle-moves/step: 327906
|
| 197 |
+
Cell-touches/particle/step: 1.04771
|
| 198 |
+
Particle comm iterations/step: 1
|
| 199 |
+
Particle fraction communicated: 0.00268487
|
| 200 |
+
Particle fraction colliding with boundary: 0
|
| 201 |
+
Particle fraction exiting boundary: 0.000268392
|
| 202 |
+
Surface-checks/particle/step: 0.00130513
|
| 203 |
+
Surface-collisions/particle/step: 2.72775e-05
|
| 204 |
+
Surf-reactions/particle/step: 0
|
| 205 |
+
Collision-attempts/particle/step: 0.0217348
|
| 206 |
+
Collisions/particle/step: 0.0169296
|
| 207 |
+
Reactions/particle/step: 0
|
| 208 |
+
|
| 209 |
+
Particles: 2565.23 ave 15836 max 0 min
|
| 210 |
+
Histogram: 83 14 7 5 7 4 4 0 2 2
|
| 211 |
+
Cells: 341.023 ave 342 max 340 min
|
| 212 |
+
Histogram: 5 0 0 0 0 115 0 0 0 8
|
| 213 |
+
GhostCell: 8845.66 ave 16242 max 485 min
|
| 214 |
+
Histogram: 18 13 13 8 17 3 6 4 16 30
|
| 215 |
+
EmptyCell: 51.3438 ave 168 max 0 min
|
| 216 |
+
Histogram: 60 2 7 6 11 13 12 3 6 8
|
| 217 |
+
Surfs: 200 ave 200 max 200 min
|
| 218 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 219 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 220 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 221 |
+
compute 1 grid all air n nrho massrho u v w
|
| 222 |
+
compute 2 grid all air trot
|
| 223 |
+
compute 3 tvib/grid all air
|
| 224 |
+
compute 4 thermal/grid all air press temp
|
| 225 |
+
fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 226 |
+
fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 227 |
+
fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 228 |
+
dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
|
| 229 |
+
dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
|
| 230 |
+
dump_modify 1 format float %12.5g
|
| 231 |
+
compute 5 surf all air n press px py shx shy fx fy etot erot evib
|
| 232 |
+
fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
|
| 233 |
+
fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
|
| 234 |
+
fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
|
| 235 |
+
dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 236 |
+
dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 237 |
+
dump_modify 2 format float %12.5g
|
| 238 |
+
compute 6 lambda/grid f_1[2] f_1[8] Ar kx
|
| 239 |
+
dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
|
| 240 |
+
dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
|
| 241 |
+
dump_modify 3 format float %12.5g
|
| 242 |
+
run 100000
|
| 243 |
+
Memory usage per proc in Mbytes:
|
| 244 |
+
particles (ave,min,max) = 1.6084 0 1.6875
|
| 245 |
+
grid (ave,min,max) = 2.47327 1.51379 4.32629
|
| 246 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 247 |
+
total (ave,min,max) = 4.21701 3.3362 6.1492
|
| 248 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 249 |
+
200000 0 328350 6416 5425 0 0 0
|
| 250 |
+
210000 15.855133 328436 6529 5505 4 328574.57 8.906
|
| 251 |
+
220000 32.520149 328692 6557 5493 11 328673.38 8.91675
|
| 252 |
+
230000 50.23715 328608 6431 5413 14 328646.02 8.9244667
|
| 253 |
+
240000 66.297184 328523 6493 5459 9 328737.1 8.92495
|
| 254 |
+
250000 82.61419 328002 6571 5534 6 328652.02 8.9284
|
| 255 |
+
260000 98.701641 328412 6576 5537 7 328677.61 8.9224833
|
| 256 |
+
270000 116.08352 328478 6535 5507 10 328661.46 8.9301857
|
| 257 |
+
280000 132.17443 328299 6509 5494 13 328675.6 8.9378375
|
| 258 |
+
290000 148.61307 328840 6539 5517 10 328687.73 8.9384667
|
| 259 |
+
300000 165.18319 328971 6524 5538 7 328743.4 8.94626
|
| 260 |
+
Loop time of 165.183 on 128 procs for 100000 steps with 328971 particles
|
| 261 |
+
|
| 262 |
+
MPI task timing breakdown:
|
| 263 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 264 |
+
---------------------------------------------------------------
|
| 265 |
+
Move | 0.01098 | 4.0405 | 23.369 | 252.1 | 2.45
|
| 266 |
+
Coll | 0.11157 | 3.8305 | 27.744 | 253.4 | 2.32
|
| 267 |
+
Sort | 0.042435 | 0.65259 | 3.9358 | 104.5 | 0.40
|
| 268 |
+
Comm | 30.023 | 46.25 | 51.75 | 67.6 | 28.00
|
| 269 |
+
Modify | 1.5746 | 11.122 | 60.417 | 388.8 | 6.73
|
| 270 |
+
Output | 0.031033 | 0.032633 | 0.035911 | 0.6 | 0.02
|
| 271 |
+
Other | | 99.26 | | | 60.09
|
| 272 |
+
|
| 273 |
+
Particle moves = 32874340429 (32.9B)
|
| 274 |
+
Cells touched = 34441125615 (34.4B)
|
| 275 |
+
Particle comms = 88155594 (88.2M)
|
| 276 |
+
Boundary collides = 0 (0K)
|
| 277 |
+
Boundary exits = 8818133 (8.82M)
|
| 278 |
+
SurfColl checks = 42924134 (42.9M)
|
| 279 |
+
SurfColl occurs = 894626 (0.895M)
|
| 280 |
+
Surf reactions = 0 (0K)
|
| 281 |
+
Collide attempts = 716889277 (717M)
|
| 282 |
+
Collide occurs = 558350671 (558M)
|
| 283 |
+
Reactions = 0 (0K)
|
| 284 |
+
Particles stuck = 0
|
| 285 |
+
Axisymm bad moves = 0
|
| 286 |
+
|
| 287 |
+
Particle-moves/CPUsec/proc: 1.55482e+06
|
| 288 |
+
Particle-moves/step: 328743
|
| 289 |
+
Cell-touches/particle/step: 1.04766
|
| 290 |
+
Particle comm iterations/step: 1
|
| 291 |
+
Particle fraction communicated: 0.00268159
|
| 292 |
+
Particle fraction colliding with boundary: 0
|
| 293 |
+
Particle fraction exiting boundary: 0.000268238
|
| 294 |
+
Surface-checks/particle/step: 0.0013057
|
| 295 |
+
Surface-collisions/particle/step: 2.72135e-05
|
| 296 |
+
Surf-reactions/particle/step: 0
|
| 297 |
+
Collision-attempts/particle/step: 0.021807
|
| 298 |
+
Collisions/particle/step: 0.0169844
|
| 299 |
+
Reactions/particle/step: 0
|
| 300 |
+
|
| 301 |
+
Particles: 2570.09 ave 16190 max 0 min
|
| 302 |
+
Histogram: 84 13 7 5 7 6 2 0 2 2
|
| 303 |
+
Cells: 341.023 ave 342 max 340 min
|
| 304 |
+
Histogram: 5 0 0 0 0 115 0 0 0 8
|
| 305 |
+
GhostCell: 8845.66 ave 16242 max 485 min
|
| 306 |
+
Histogram: 18 13 13 8 17 3 6 4 16 30
|
| 307 |
+
EmptyCell: 51.3438 ave 168 max 0 min
|
| 308 |
+
Histogram: 60 2 7 6 11 13 12 3 6 8
|
| 309 |
+
Surfs: 200 ave 200 max 200 min
|
| 310 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 311 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 312 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 313 |
+
write_grid grid/final-grid.dat
|
| 314 |
+
grid cells = 43651
|
| 315 |
+
CPU time = 0.00625239 secs
|
| 316 |
+
write_surf surf/geom.surf
|
| 317 |
+
surf elements = 200
|
| 318 |
+
CPU time = 0.00168302 secs
|
CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/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/Kn0p42/simulation0910_Kn0p42Ma2p9/output/grid.300000.dat
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/output/lambdakn.300000.dat
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/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 0.00195 0.01887 -0.018867 0.00029639 -1.6882e-05 -0.0010746 -0.00029662 -1.2224e-05 1.1341 0 0
|
| 11 |
+
129 -0.31871 0.38526 -0.30645 0.39508 0.07289 0.78146 0.4886 -0.60988 0.13683 0.10962 0.0098239 -0.0078576 112.37 0 0
|
| 12 |
+
2 0.49975 -0.015705 0.49901 -0.031395 0.00212 0.020152 -0.02013 0.00094929 0.0001373 0.0029114 -0.00031403 6.0642e-05 0.96668 0 0
|
| 13 |
+
130 -0.30645 0.39508 -0.29389 0.40451 0.07027 0.75169 0.45133 -0.60112 0.13304 0.099893 0.009179 -0.0078729 105.57 0 0
|
| 14 |
+
3 0.49901 -0.031395 0.49778 -0.047054 0.00233 0.021951 -0.021883 0.0017222 -0.0001075 -0.0013659 -0.00034541 5.5976e-06 1.3563 0 0
|
| 15 |
+
131 -0.29389 0.40451 -0.28104 0.41354 0.0684 0.7286 0.41895 -0.5961 0.13975 0.098219 0.0087757 -0.0078204 106.24 0 0
|
| 16 |
+
4 0.49778 -0.047054 0.49606 -0.062667 0.0023 0.022237 -0.022102 0.0024401 -0.00016856 -0.0015268 -0.00034982 1.4346e-05 1.6804 0 0
|
| 17 |
+
132 -0.28104 0.41354 -0.26791 0.42216 0.06542 0.68745 0.37742 -0.57457 0.13564 0.0891 0.0080589 -0.0076255 99.235 0 0
|
| 18 |
+
5 0.49606 -0.062667 0.49384 -0.078217 0.00216 0.02049 -0.020286 0.0028871 3.5758e-05 0.00025125 -0.00031808 4.9295e-05 1.4525 0 0
|
| 19 |
+
133 -0.26791 0.42216 -0.25452 0.43037 0.06308 0.66808 0.34907 -0.56963 0.14471 0.088678 0.007756 -0.0075545 93.974 0 0
|
| 20 |
+
6 0.49384 -0.078217 0.49114 -0.093691 0.00203 0.019378 -0.019089 0.0033316 0.00015949 0.00091385 -0.00029734 6.6685e-05 1.7366 0 0
|
| 21 |
+
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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42 0.1395 -0.48015 0.12434 -0.48429 0.01048 0.099713 -0.026312 0.096179 0.05567 0.01523 0.00046114 0.0017499 16.651 0 0
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| 93 |
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| 94 |
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43 0.12434 -0.48429 0.10907 -0.48796 0.01181 0.11304 -0.02639 0.10992 0.060619 0.014553 0.00053765 0.0019552 18.685 0 0
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| 95 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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| 100 |
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46 0.078217 -0.49384 0.062667 -0.49606 0.01517 0.14492 -0.020419 0.14347 0.079151 0.011265 0.00092252 0.0024305 23.582 0 0
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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49 0.031395 -0.49901 0.015705 -0.49975 0.01946 0.19667 -0.0092644 0.19645 0.08979 0.0042344 0.0012648 0.0031522 30.491 0 0
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| 107 |
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| 108 |
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50 0.015705 -0.49975 0 -0.5 0.02089 0.20856 -0.0032759 0.20854 0.098376 0.0015454 0.0014938 0.0032998 32.795 0 0
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| 109 |
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| 110 |
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51 0 -0.5 -0.015705 -0.49975 0.02305 0.232 0.0036441 0.23197 0.10735 -0.0016865 0.0017435 0.0036171 37.156 0 0
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| 111 |
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179 0.38526 0.31871 0.39508 0.30645 0.00192 0.016019 -0.012501 -0.010016 0.0051991 -0.0064896 -0.0001147 -0.00025925 2.1645 0 0
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| 112 |
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52 -0.015705 -0.49975 -0.031395 -0.49901 0.02448 0.2487 0.011715 0.24842 0.10655 -0.0050246 0.0018576 0.0038232 38.129 0 0
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| 113 |
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| 114 |
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53 -0.031395 -0.49901 -0.047054 -0.49778 0.02623 0.26327 0.020656 0.26246 0.11603 -0.0091315 0.0021469 0.0039791 39.134 0 0
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| 115 |
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181 0.40451 0.29389 0.41354 0.28104 0.00171 0.015322 -0.012535 -0.00881 0.002343 -0.0033338 -0.00016009 -0.00019075 1.5592 0 0
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| 116 |
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54 -0.047054 -0.49778 -0.062667 -0.49606 0.02791 0.28567 0.031348 0.28395 0.11258 -0.012429 0.0022607 0.0042648 43.246 0 0
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| 117 |
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182 0.41354 0.28104 0.42216 0.26791 0.0018 0.015713 -0.013133 -0.0086267 0.0031916 -0.0048588 -0.00015615 -0.00021182 1.0899 0 0
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| 118 |
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55 -0.062667 -0.49606 -0.078217 -0.49384 0.03004 0.30665 0.043208 0.3036 0.11597 -0.016505 0.0025003 0.0045094 42.48 0 0
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| 119 |
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183 0.42216 0.26791 0.43037 0.25452 0.00189 0.016698 -0.014238 -0.0087248 0.002435 -0.0039736 -0.00018539 -0.00019946 1.529 0 0
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| 120 |
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56 -0.078217 -0.49384 -0.093691 -0.49114 0.03112 0.31649 0.054415 0.31178 0.115 -0.020071 0.0026611 0.004582 45.867 0 0
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| 121 |
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184 0.43037 0.25452 0.43815 0.24088 0.00178 0.015922 -0.013831 -0.0078889 0.0013141 -0.0023038 -0.0001966 -0.0001601 1.0856 0 0
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| 122 |
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57 -0.093691 -0.49114 -0.10907 -0.48796 0.03294 0.33901 0.068747 0.33197 0.12565 -0.026021 0.0030535 0.0048056 50.117 0 0
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| 123 |
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185 0.43815 0.24088 0.4455 0.227 0.00175 0.015473 -0.013674 -0.0072401 0.0013575 -0.0025639 -0.00019346 -0.00015399 1.6084 0 0
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| 124 |
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58 -0.10907 -0.48796 -0.12434 -0.48429 0.03647 0.37491 0.08752 0.36455 0.14101 -0.033854 0.0035896 0.0051943 58.366 0 0
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| 125 |
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186 0.4455 0.227 0.45241 0.21289 0.00175 0.016302 -0.014639 -0.0071717 0.00099124 -0.0020234 -0.00021438 -0.00014443 1.2899 0 0
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| 126 |
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59 -0.12434 -0.48429 -0.1395 -0.48015 0.03764 0.39009 0.10293 0.37626 0.13454 -0.036805 0.00373 0.005332 57.918 0 0
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| 127 |
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187 0.45241 0.21289 0.45888 0.19857 0.00205 0.019068 -0.017379 -0.0078468 0.0011287 -0.0024999 -0.00025525 -0.00016252 1.2799 0 0
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| 128 |
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60 -0.1395 -0.48015 -0.15451 -0.47553 0.04063 0.42332 0.12447 0.40461 0.13716 -0.042197 0.0041096 0.0056925 58.831 0 0
|
| 129 |
+
188 0.45888 0.19857 0.46489 0.18406 0.00184 0.01647 -0.015217 -0.006303 0.00072226 -0.0017437 -0.00022767 -0.00012639 0.64349 0 0
|
| 130 |
+
61 -0.15451 -0.47553 -0.16937 -0.47044 0.04392 0.4582 0.14842 0.4335 0.13769 -0.047142 0.004494 0.0060686 66.986 0 0
|
| 131 |
+
189 0.46489 0.18406 0.47044 0.16937 0.00183 0.016317 -0.015264 -0.0057676 0.00080431 -0.0021285 -0.00022712 -0.00012403 1.7182 0 0
|
| 132 |
+
62 -0.16937 -0.47044 -0.18406 -0.46489 0.04528 0.47183 0.16678 0.44137 0.13422 -0.050717 0.0047279 0.0061361 66.581 0 0
|
| 133 |
+
190 0.47044 0.16937 0.47553 0.15451 0.00198 0.018018 -0.017047 -0.0058364 0.00068545 -0.002002 -0.00025699 -0.00012312 1.2535 0 0
|
| 134 |
+
63 -0.18406 -0.46489 -0.19857 -0.45888 0.04846 0.50146 0.1919 0.46329 0.13966 -0.05785 0.0052079 0.0063683 73.56 0 0
|
| 135 |
+
191 0.47553 0.15451 0.48015 0.1395 0.00213 0.020003 -0.019119 -0.0058818 0.00027293 -0.00088716 -0.00029602 -0.00010632 0.42589 0 0
|
| 136 |
+
64 -0.19857 -0.45888 -0.21289 -0.45241 0.05195 0.54346 0.22364 0.49532 0.15033 -0.067874 0.005874 0.006714 81.949 0 0
|
| 137 |
+
192 0.48015 0.1395 0.48429 0.12434 0.00183 0.017291 -0.016679 -0.0045628 7.3357e-05 -0.00026815 -0.00026082 -7.5881e-05 1.3618 0 0
|
| 138 |
+
65 -0.21289 -0.45241 -0.227 -0.4455 0.05345 0.56228 0.24737 0.50494 0.14735 -0.072188 0.0062 0.0067974 81.652 0 0
|
| 139 |
+
193 0.48429 0.12434 0.48796 0.10907 0.00202 0.018753 -0.018235 -0.0043777 0.00012073 -0.00050288 -0.00028452 -7.6661e-05 1.1967 0 0
|
| 140 |
+
66 -0.227 -0.4455 -0.24088 -0.43815 0.05696 0.59899 0.28028 0.52937 0.14429 -0.076398 0.0066689 0.0071149 86.517 0 0
|
| 141 |
+
194 0.48796 0.10907 0.49114 0.093691 0.00217 0.0202 -0.01978 -0.0040963 -4.2228e-05 0.00020391 -0.00031136 -6.1139e-05 1.5075 0 0
|
| 142 |
+
67 -0.24088 -0.43815 -0.25452 -0.43037 0.06058 0.63644 0.31533 0.55283 0.14351 -0.081857 0.0072071 0.0073977 88.99 0 0
|
| 143 |
+
195 0.49114 0.093691 0.49384 0.078217 0.00211 0.020187 -0.019886 -0.0034707 -9.7198e-05 0.00055692 -0.00031389 -4.5768e-05 1.2214 0 0
|
| 144 |
+
68 -0.25452 -0.43037 -0.26791 -0.42216 0.06308 0.6651 0.34752 0.56709 0.14223 -0.087161 0.0076927 0.0075385 92.413 0 0
|
| 145 |
+
196 0.49384 0.078217 0.49606 0.062667 0.00208 0.019913 -0.019714 -0.0028057 0.00010527 -0.0007397 -0.000308 -5.5689e-05 1.3178 0 0
|
| 146 |
+
69 -0.26791 -0.42216 -0.28104 -0.41354 0.06556 0.68852 0.37801 0.57547 0.14074 -0.092447 0.0081482 0.007587 94.817 0 0
|
| 147 |
+
197 0.49606 0.062667 0.49778 0.047054 0.00202 0.019578 -0.01946 -0.0021484 7.5383e-05 -0.00068281 -0.00030448 -4.4471e-05 1.0752 0 0
|
| 148 |
+
70 -0.28104 -0.41354 -0.29389 -0.40451 0.06742 0.72076 0.41444 0.58969 0.13479 -0.094731 0.0086269 0.0077745 103.65 0 0
|
| 149 |
+
198 0.49778 0.047054 0.49901 0.031395 0.00197 0.019667 -0.019606 -0.001543 5.4095e-06 -6.8734e-05 -0.00030788 -2.5317e-05 1.7072 0 0
|
| 150 |
+
71 -0.29389 -0.40451 -0.30645 -0.39508 0.07212 0.77349 0.46442 0.61855 0.13811 -0.10369 0.0094641 0.008087 110.02 0 0
|
| 151 |
+
199 0.49901 0.031395 0.49975 0.015705 0.00206 0.019385 -0.019363 -0.00091315 -5.2373e-05 0.0011106 -0.00030497 3.1008e-06 0.9387 0 0
|
| 152 |
+
72 -0.30645 -0.39508 -0.31871 -0.38526 0.07478 0.80366 0.50248 0.6272 0.13383 -0.10722 0.0099947 0.0081675 111.52 0 0
|
| 153 |
+
200 0.49975 0.015705 0.5 0 0.00204 0.020122 -0.020119 -0.00031606 2.3293e-06 -0.00014828 -0.00031598 -7.2935e-06 1.6357 0 0
|
| 154 |
+
73 -0.31871 -0.38526 -0.33066 -0.37506 0.07863 0.84142 0.54646 0.63982 0.13582 -0.116 0.010717 0.0082278 118.63 0 0
|
| 155 |
+
74 -0.33066 -0.37506 -0.34227 -0.36448 0.08156 0.8703 0.58572 0.6437 0.11872 -0.10803 0.011065 0.008414 121.57 0 0
|
| 156 |
+
75 -0.34227 -0.36448 -0.35355 -0.35355 0.0826 0.8789 0.61164 0.63116 0.10815 -0.10481 0.011306 0.0082676 116.97 0 0
|
| 157 |
+
76 -0.35355 -0.35355 -0.36448 -0.34227 0.08759 0.93841 0.67389 0.65305 0.11509 -0.11876 0.012393 0.0083922 126.5 0 0
|
| 158 |
+
77 -0.36448 -0.34227 -0.37506 -0.33066 0.08995 0.96381 0.71286 0.64866 0.11428 -0.12559 0.012992 0.0082159 128.95 0 0
|
| 159 |
+
78 -0.37506 -0.33066 -0.38526 -0.31871 0.09291 0.99224 0.75451 0.64441 0.1011 -0.11837 0.013439 0.0082626 134.29 0 0
|
| 160 |
+
79 -0.38526 -0.31871 -0.39508 -0.30645 0.09673 1.0347 0.80751 0.64694 0.097261 -0.1214 0.014212 0.0082547 134.93 0 0
|
| 161 |
+
80 -0.39508 -0.30645 -0.40451 -0.29389 0.098 1.0524 0.84162 0.6319 0.096345 -0.12832 0.014733 0.00791 143.67 0 0
|
| 162 |
+
81 -0.40451 -0.29389 -0.41354 -0.28104 0.1032 1.1051 0.90417 0.63546 0.085291 -0.12136 0.015542 0.0080752 145.18 0 0
|
| 163 |
+
82 -0.41354 -0.28104 -0.42216 -0.26791 0.10754 1.1636 0.97251 0.63882 0.086217 -0.13125 0.01663 0.0079726 156.45 0 0
|
| 164 |
+
83 -0.42216 -0.26791 -0.43037 -0.25452 0.1092 1.1836 1.0092 0.61843 0.075819 -0.12373 0.017043 0.0077705 158.4 0 0
|
| 165 |
+
84 -0.43037 -0.25452 -0.43815 -0.24088 0.11127 1.1907 1.0343 0.58996 0.062543 -0.10965 0.017229 0.0075445 154.73 0 0
|
| 166 |
+
85 -0.43815 -0.24088 -0.4455 -0.227 0.11166 1.209 1.0685 0.56575 0.059717 -0.11279 0.017721 0.0071148 162.34 0 0
|
| 167 |
+
86 -0.4455 -0.227 -0.45241 -0.21289 0.11655 1.2616 1.133 0.55503 0.05433 -0.1109 0.018649 0.0069761 167.37 0 0
|
| 168 |
+
87 -0.45241 -0.21289 -0.45888 -0.19857 0.11887 1.2814 1.1679 0.52732 0.048242 -0.10684 0.019102 0.0066045 171.22 0 0
|
| 169 |
+
88 -0.45888 -0.19857 -0.46489 -0.18406 0.1219 1.3154 1.2153 0.5034 0.049201 -0.11878 0.019862 0.0060413 179.14 0 0
|
| 170 |
+
89 -0.46489 -0.18406 -0.47044 -0.16937 0.12238 1.3268 1.2411 0.46899 0.036063 -0.095439 0.020061 0.0058674 181.15 0 0
|
| 171 |
+
90 -0.47044 -0.16937 -0.47553 -0.15451 0.12514 1.35 1.2772 0.43729 0.032976 -0.096316 0.020579 0.0053557 174.83 0 0
|
| 172 |
+
91 -0.47553 -0.15451 -0.48015 -0.1395 0.12566 1.3639 1.3036 0.40106 0.030178 -0.098094 0.020951 0.0047587 185.84 0 0
|
| 173 |
+
92 -0.48015 -0.1395 -0.48429 -0.12434 0.12928 1.3992 1.3496 0.36921 0.019931 -0.072857 0.021512 0.0046549 182.82 0 0
|
| 174 |
+
93 -0.48429 -0.12434 -0.48796 -0.10907 0.1323 1.4266 1.3872 0.33304 0.01714 -0.071395 0.022058 0.0041097 189.02 0 0
|
| 175 |
+
94 -0.48796 -0.10907 -0.49114 -0.093691 0.13184 1.4315 1.4018 0.29029 0.012238 -0.059097 0.02221 0.0036315 187.28 0 0
|
| 176 |
+
95 -0.49114 -0.093691 -0.49384 -0.078217 0.13543 1.468 1.4461 0.25239 0.010783 -0.061782 0.022884 0.0029939 193.94 0 0
|
| 177 |
+
96 -0.49384 -0.078217 -0.49606 -0.062667 0.13294 1.4476 1.4332 0.20397 0.0053217 -0.037392 0.022595 0.0026165 194.99 0 0
|
| 178 |
+
97 -0.49606 -0.062667 -0.49778 -0.047054 0.13412 1.4493 1.4405 0.15904 0.0038701 -0.035055 0.022688 0.0019474 189.08 0 0
|
| 179 |
+
98 -0.49778 -0.047054 -0.49901 -0.031395 0.13624 1.4848 1.4802 0.1165 0.0030145 -0.038303 0.023298 0.0012282 199.58 0 0
|
| 180 |
+
99 -0.49901 -0.031395 -0.49975 -0.015705 0.1353 1.4618 1.4602 0.06886 0.00038023 -0.0080627 0.022942 0.00095497 191.11 0 0
|
| 181 |
+
100 -0.49975 -0.015705 -0.5 0 0.13702 1.4801 1.4799 0.023249 -9.8748e-05 0.006286 0.023244 0.00046391 196.58 0 0
|
| 182 |
+
101 -0.5 0 -0.49975 0.015705 0.13692 1.4794 1.4792 -0.023238 -4.8542e-05 -0.00309 0.023234 -0.00041354 190.75 0 0
|
| 183 |
+
102 -0.49975 0.015705 -0.49901 0.031395 0.13595 1.4757 1.4741 -0.069516 0.00061343 0.013008 0.023164 -0.00088759 195.1 0 0
|
| 184 |
+
103 -0.49901 0.031395 -0.49778 0.047054 0.1363 1.4748 1.4703 -0.11571 0.0031533 0.040067 0.023144 -0.0011882 192.33 0 0
|
| 185 |
+
104 -0.49778 0.047054 -0.49606 0.062667 0.13482 1.4605 1.4516 -0.16026 0.0047991 0.043469 0.022877 -0.0018345 193.4 0 0
|
| 186 |
+
105 -0.49606 0.062667 -0.49384 0.078217 0.1324 1.4371 1.4227 -0.20248 0.0068169 0.047898 0.022454 -0.0024281 190.49 0 0
|
| 187 |
+
106 -0.49384 0.078217 -0.49114 0.093691 0.13306 1.4472 1.4256 -0.24881 0.008406 0.048164 0.022525 -0.0031517 193.31 0 0
|
| 188 |
+
107 -0.49114 0.093691 -0.48796 0.10907 0.1335 1.4533 1.4231 -0.2947 0.012891 0.062248 0.022555 -0.0036513 189.4 0 0
|
| 189 |
+
108 -0.48796 0.10907 -0.48429 0.12434 0.13105 1.4126 1.3736 -0.32977 0.014223 0.059242 0.021799 -0.0042492 183.16 0 0
|
| 190 |
+
109 -0.48429 0.12434 -0.48015 0.1395 0.12837 1.3888 1.3396 -0.36647 0.023217 0.084866 0.021406 -0.0044232 183.45 0 0
|
| 191 |
+
110 -0.48015 0.1395 -0.47553 0.15451 0.12492 1.3562 1.2962 -0.39878 0.024399 0.079311 0.020744 -0.005018 179.09 0 0
|
| 192 |
+
111 -0.47553 0.15451 -0.47044 0.16937 0.1259 1.3668 1.2931 -0.44273 0.03228 0.094283 0.020818 -0.0054732 185.89 0 0
|
| 193 |
+
112 -0.47044 0.16937 -0.46489 0.18406 0.12238 1.3217 1.2363 -0.46717 0.037753 0.099911 0.020013 -0.0057687 175.46 0 0
|
| 194 |
+
113 -0.46489 0.18406 -0.45888 0.19857 0.1213 1.3074 1.2079 -0.50034 0.04448 0.10738 0.019672 -0.0061722 170.72 0 0
|
| 195 |
+
114 -0.45888 0.19857 -0.45241 0.21289 0.11881 1.2876 1.1735 -0.52985 0.049189 0.10894 0.019205 -0.0066114 173.16 0 0
|
| 196 |
+
115 -0.45241 0.21289 -0.4455 0.227 0.11611 1.2667 1.1375 -0.55727 0.054768 0.1118 0.018728 -0.0069972 174.46 0 0
|
| 197 |
+
116 -0.4455 0.227 -0.43815 0.24088 0.11348 1.2273 1.0846 -0.57428 0.060481 0.11423 0.017987 -0.0072262 166.07 0 0
|
| 198 |
+
117 -0.43815 0.24088 -0.43037 0.25452 0.11222 1.2069 1.0483 -0.59796 0.072261 0.12669 0.017602 -0.0074025 158.67 0 0
|
| 199 |
+
118 -0.43037 0.25452 -0.42216 0.26791 0.10622 1.1397 0.97172 -0.59547 0.071778 0.11713 0.01639 -0.0075134 154.57 0 0
|
| 200 |
+
119 -0.42216 0.26791 -0.41354 0.28104 0.10537 1.1342 0.94795 -0.62269 0.085159 0.12964 0.016227 -0.0077444 153.2 0 0
|
| 201 |
+
120 -0.41354 0.28104 -0.40451 0.29389 0.10277 1.1105 0.90854 -0.63853 0.08996 0.128 0.015684 -0.0080191 147.12 0 0
|
| 202 |
+
121 -0.40451 0.29389 -0.39508 0.30645 0.09947 1.0674 0.85357 -0.64088 0.093275 0.12423 0.014872 -0.0081152 143.53 0 0
|
| 203 |
+
122 -0.39508 0.30645 -0.38526 0.31871 0.09554 1.025 0.79991 -0.64085 0.099096 0.12369 0.014121 -0.0081231 138.42 0 0
|
| 204 |
+
123 -0.38526 0.31871 -0.37506 0.33066 0.09478 1.016 0.7726 -0.65987 0.10495 0.12288 0.013784 -0.0084346 137.34 0 0
|
| 205 |
+
124 -0.37506 0.33066 -0.36448 0.34227 0.08896 0.95645 0.70742 -0.6437 0.10786 0.11854 0.012806 -0.0082489 130.52 0 0
|
| 206 |
+
125 -0.36448 0.34227 -0.35355 0.35355 0.08725 0.94392 0.67786 -0.65689 0.11621 0.11992 0.012473 -0.0084343 129.02 0 0
|
| 207 |
+
126 -0.35355 0.35355 -0.34227 0.36448 0.08356 0.88863 0.61841 -0.63815 0.12052 0.11679 0.011607 -0.0081891 121.35 0 0
|
| 208 |
+
127 -0.34227 0.36448 -0.33066 0.37506 0.083 0.88445 0.59525 -0.65417 0.12303 0.11195 0.011282 -0.0085169 119.88 0 0
|
| 209 |
+
128 -0.33066 0.37506 -0.31871 0.38526 0.07727 0.82685 0.53699 -0.62874 0.13132 0.11215 0.010497 -0.0081141 115.26 0 0
|
CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/runmpirun128.sh
ADDED
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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/Kn0p42/simulation0910_Kn0p42Ma2p9/runmpirun64.sh
ADDED
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@@ -0,0 +1,18 @@
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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/Kn0p42/simulation0910_Kn0p42Ma2p9/slurm-28429068.out
ADDED
|
@@ -0,0 +1,200 @@
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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 43651 child grid cells
|
| 6 |
+
CPU time = 0.162408 secs
|
| 7 |
+
create/ghost percent = 0.690908 99.3091
|
| 8 |
+
Balance grid migrated 43561 cells
|
| 9 |
+
CPU time = 0.193278 secs
|
| 10 |
+
reassign/sort/migrate/ghost percent = 80.8399 0.0182018 7.24558 11.8964
|
| 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 |
+
304 0 = cells overlapping surfs, overlap cells with unmarked corner pts
|
| 18 |
+
38993 4354 304 = cells outside/inside/overlapping surfs
|
| 19 |
+
304 = surf cells with 1,2,etc splits
|
| 20 |
+
109.214731023047 109.214731023047 = cell-wise and global flow volume
|
| 21 |
+
CPU time = 0.149897 secs
|
| 22 |
+
read/check/sort/surf2grid/ghost/inout/particle percent = 22.123 49.0344 1.88645 14.7172 12.2389 3.99897 0.0634089
|
| 23 |
+
surf2grid time = 0.0220606 secs
|
| 24 |
+
map/comm1/comm2/comm3/comm4/split percent = 14.5694 24.8155 3.87886 1.8526 12.4903 6.68364
|
| 25 |
+
Balance grid migrated 1350 cells
|
| 26 |
+
CPU time = 0.0290271 secs
|
| 27 |
+
reassign/sort/migrate/ghost percent = 8.74964 0.116339 31.7875 59.3465
|
| 28 |
+
Creating particles ...
|
| 29 |
+
Created 297182 particles
|
| 30 |
+
CPU time = 0.0116762 secs
|
| 31 |
+
Memory usage per proc in Mbytes:
|
| 32 |
+
particles (ave,min,max) = 1.6084 0 1.6875
|
| 33 |
+
grid (ave,min,max) = 2.47327 1.51379 4.32629
|
| 34 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 35 |
+
total (ave,min,max) = 4.10226 3.22189 6.03439
|
| 36 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 37 |
+
0 0 297182 0 0 0 0 0
|
| 38 |
+
10000 9.6476045 327773 6435 5418 7 314256.06 8.8239
|
| 39 |
+
20000 19.01233 328026 6510 5490 15 321267.1 8.89135
|
| 40 |
+
30000 28.762927 328519 6560 5499 8 323622.44 8.9146333
|
| 41 |
+
40000 38.835883 328681 6430 5415 8 324904.28 8.91695
|
| 42 |
+
50000 48.220034 328688 6573 5565 10 325656.35 8.92192
|
| 43 |
+
60000 57.987903 328299 6541 5533 8 326170.83 8.9257
|
| 44 |
+
70000 69.662126 328029 6499 5471 14 326536.23 8.9273571
|
| 45 |
+
80000 79.018112 329341 6483 5420 11 326811.47 8.9312875
|
| 46 |
+
90000 88.86748 328031 6491 5523 14 327020.44 8.9319889
|
| 47 |
+
100000 98.886769 328061 6503 5443 9 327162.54 8.93621
|
| 48 |
+
110000 108.28993 328152 6476 5474 12 327288.8 8.9344545
|
| 49 |
+
120000 118.06036 328515 6555 5544 9 327418.68 8.9374667
|
| 50 |
+
130000 129.39756 328752 6495 5463 8 327499.85 8.9405
|
| 51 |
+
140000 138.73887 328402 6569 5549 7 327578.2 8.9405214
|
| 52 |
+
150000 148.52967 328078 6325 5365 11 327626.33 8.9410067
|
| 53 |
+
160000 158.59372 329215 6534 5545 6 327691.44 8.941275
|
| 54 |
+
170000 168.00043 328771 6556 5545 8 327765.45 8.9422588
|
| 55 |
+
180000 177.73535 329182 6492 5511 9 327812.99 8.9413167
|
| 56 |
+
190000 188.95792 328917 6463 5485 7 327873.04 8.9467947
|
| 57 |
+
200000 198.29825 328350 6416 5425 6 327906.03 8.944445
|
| 58 |
+
Loop time of 198.299 on 128 procs for 200000 steps with 328350 particles
|
| 59 |
+
|
| 60 |
+
MPI task timing breakdown:
|
| 61 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 62 |
+
---------------------------------------------------------------
|
| 63 |
+
Move | 0.021824 | 8.0211 | 46.296 | 356.1 | 4.04
|
| 64 |
+
Coll | 0.22406 | 7.621 | 54.75 | 356.8 | 3.84
|
| 65 |
+
Sort | 0.076289 | 1.2862 | 7.7801 | 147.7 | 0.65
|
| 66 |
+
Comm | 51.458 | 84.327 | 95.397 | 100.3 | 42.53
|
| 67 |
+
Modify | 0.018772 | 0.10217 | 1.9173 | 86.9 | 0.05
|
| 68 |
+
Output | 0.003698 | 0.0074975 | 0.0090156 | 0.8 | 0.00
|
| 69 |
+
Other | | 96.93 | | | 48.88
|
| 70 |
+
|
| 71 |
+
Particle moves = 65581206076 (65.6B)
|
| 72 |
+
Cells touched = 68710257006 (68.7B)
|
| 73 |
+
Particle comms = 176076914 (176M)
|
| 74 |
+
Boundary collides = 0 (0K)
|
| 75 |
+
Boundary exits = 17601439 (17.6M)
|
| 76 |
+
SurfColl checks = 85592033 (85.6M)
|
| 77 |
+
SurfColl occurs = 1788889 (1.79M)
|
| 78 |
+
Surf reactions = 0 (0K)
|
| 79 |
+
Collide attempts = 1425394867 (1.43B)
|
| 80 |
+
Collide occurs = 1110263448 (1.11B)
|
| 81 |
+
Gas reactions = 0 (0K)
|
| 82 |
+
Particles stuck = 0
|
| 83 |
+
Axisymm bad moves = 0
|
| 84 |
+
|
| 85 |
+
Particle-moves/CPUsec/proc: 2.58374e+06
|
| 86 |
+
Particle-moves/step: 327906
|
| 87 |
+
Cell-touches/particle/step: 1.04771
|
| 88 |
+
Particle comm iterations/step: 1
|
| 89 |
+
Particle fraction communicated: 0.00268487
|
| 90 |
+
Particle fraction colliding with boundary: 0
|
| 91 |
+
Particle fraction exiting boundary: 0.000268392
|
| 92 |
+
Surface-checks/particle/step: 0.00130513
|
| 93 |
+
Surface-collisions/particle/step: 2.72775e-05
|
| 94 |
+
Surface-reactions/particle/step: 0
|
| 95 |
+
Collision-attempts/particle/step: 0.0217348
|
| 96 |
+
Collisions/particle/step: 0.0169296
|
| 97 |
+
Gas-reactions/particle/step: 0
|
| 98 |
+
|
| 99 |
+
Particles: 2565.23 ave 15836 max 0 min
|
| 100 |
+
Histogram: 83 14 7 5 7 4 4 0 2 2
|
| 101 |
+
Cells: 341.023 ave 342 max 340 min
|
| 102 |
+
Histogram: 5 0 0 0 0 115 0 0 0 8
|
| 103 |
+
GhostCell: 8845.66 ave 16242 max 485 min
|
| 104 |
+
Histogram: 18 13 13 8 17 3 6 4 16 30
|
| 105 |
+
EmptyCell: 51.3438 ave 168 max 0 min
|
| 106 |
+
Histogram: 60 2 7 6 11 13 12 3 6 8
|
| 107 |
+
Surfs: 200 ave 200 max 200 min
|
| 108 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 109 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 110 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 111 |
+
Memory usage per proc in Mbytes:
|
| 112 |
+
particles (ave,min,max) = 1.6084 0 1.6875
|
| 113 |
+
grid (ave,min,max) = 2.47327 1.51379 4.32629
|
| 114 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 115 |
+
total (ave,min,max) = 4.21701 3.3362 6.1492
|
| 116 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 117 |
+
200000 0 328350 6416 5425 0 0 0
|
| 118 |
+
210000 15.855133 328436 6529 5505 4 328574.57 8.906
|
| 119 |
+
220000 32.520149 328692 6557 5493 11 328673.38 8.91675
|
| 120 |
+
230000 50.23715 328608 6431 5413 14 328646.02 8.9244667
|
| 121 |
+
240000 66.297184 328523 6493 5459 9 328737.1 8.92495
|
| 122 |
+
250000 82.61419 328002 6571 5534 6 328652.02 8.9284
|
| 123 |
+
260000 98.701641 328412 6576 5537 7 328677.61 8.9224833
|
| 124 |
+
270000 116.08352 328478 6535 5507 10 328661.46 8.9301857
|
| 125 |
+
280000 132.17443 328299 6509 5494 13 328675.6 8.9378375
|
| 126 |
+
290000 148.61307 328840 6539 5517 10 328687.73 8.9384667
|
| 127 |
+
300000 165.18319 328971 6524 5538 7 328743.4 8.94626
|
| 128 |
+
Loop time of 165.183 on 128 procs for 100000 steps with 328971 particles
|
| 129 |
+
|
| 130 |
+
MPI task timing breakdown:
|
| 131 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 132 |
+
---------------------------------------------------------------
|
| 133 |
+
Move | 0.01098 | 4.0405 | 23.369 | 252.1 | 2.45
|
| 134 |
+
Coll | 0.11157 | 3.8305 | 27.744 | 253.4 | 2.32
|
| 135 |
+
Sort | 0.042435 | 0.65259 | 3.9358 | 104.5 | 0.40
|
| 136 |
+
Comm | 30.023 | 46.25 | 51.75 | 67.6 | 28.00
|
| 137 |
+
Modify | 1.5746 | 11.122 | 60.417 | 388.8 | 6.73
|
| 138 |
+
Output | 0.031033 | 0.032633 | 0.035911 | 0.6 | 0.02
|
| 139 |
+
Other | | 99.26 | | | 60.09
|
| 140 |
+
|
| 141 |
+
Particle moves = 32874340429 (32.9B)
|
| 142 |
+
Cells touched = 34441125615 (34.4B)
|
| 143 |
+
Particle comms = 88155594 (88.2M)
|
| 144 |
+
Boundary collides = 0 (0K)
|
| 145 |
+
Boundary exits = 8818133 (8.82M)
|
| 146 |
+
SurfColl checks = 42924134 (42.9M)
|
| 147 |
+
SurfColl occurs = 894626 (0.895M)
|
| 148 |
+
Surf reactions = 0 (0K)
|
| 149 |
+
Collide attempts = 716889277 (717M)
|
| 150 |
+
Collide occurs = 558350671 (558M)
|
| 151 |
+
Gas reactions = 0 (0K)
|
| 152 |
+
Particles stuck = 0
|
| 153 |
+
Axisymm bad moves = 0
|
| 154 |
+
|
| 155 |
+
Particle-moves/CPUsec/proc: 1.55482e+06
|
| 156 |
+
Particle-moves/step: 328743
|
| 157 |
+
Cell-touches/particle/step: 1.04766
|
| 158 |
+
Particle comm iterations/step: 1
|
| 159 |
+
Particle fraction communicated: 0.00268159
|
| 160 |
+
Particle fraction colliding with boundary: 0
|
| 161 |
+
Particle fraction exiting boundary: 0.000268238
|
| 162 |
+
Surface-checks/particle/step: 0.0013057
|
| 163 |
+
Surface-collisions/particle/step: 2.72135e-05
|
| 164 |
+
Surface-reactions/particle/step: 0
|
| 165 |
+
Collision-attempts/particle/step: 0.021807
|
| 166 |
+
Collisions/particle/step: 0.0169844
|
| 167 |
+
Gas-reactions/particle/step: 0
|
| 168 |
+
|
| 169 |
+
Particles: 2570.09 ave 16190 max 0 min
|
| 170 |
+
Histogram: 84 13 7 5 7 6 2 0 2 2
|
| 171 |
+
Cells: 341.023 ave 342 max 340 min
|
| 172 |
+
Histogram: 5 0 0 0 0 115 0 0 0 8
|
| 173 |
+
GhostCell: 8845.66 ave 16242 max 485 min
|
| 174 |
+
Histogram: 18 13 13 8 17 3 6 4 16 30
|
| 175 |
+
EmptyCell: 51.3438 ave 168 max 0 min
|
| 176 |
+
Histogram: 60 2 7 6 11 13 12 3 6 8
|
| 177 |
+
Surfs: 200 ave 200 max 200 min
|
| 178 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 179 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 180 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 181 |
+
Writing grid file ...
|
| 182 |
+
grid cells = 43651
|
| 183 |
+
CPU time = 0.00625239 secs
|
| 184 |
+
Writing surface file ...
|
| 185 |
+
surf elements = 200
|
| 186 |
+
CPU time = 0.00168302 secs
|
| 187 |
+
Processing 2 grid chunk(s).
|
| 188 |
+
Completed grid chunk number: 1
|
| 189 |
+
Completed grid chunk number: 0
|
| 190 |
+
|
| 191 |
+
Done in 0:00:07 (wall clock time)
|
| 192 |
+
|
| 193 |
+
Processing 2 grid chunk(s).
|
| 194 |
+
Completed grid chunk number: 1
|
| 195 |
+
Completed grid chunk number: 0
|
| 196 |
+
|
| 197 |
+
Done in 0:00:07 (wall clock time)
|
| 198 |
+
|
| 199 |
+
Processing SPARTA surface information.
|
| 200 |
+
Processing dump result file: ['./output/surf.300000.dat']
|
CylinderKnMa/Kn0p42/simulation0910_Kn0p42Ma2p9/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="0.00171" RangeMax="0.13702" offset="4512" />
|
| 14 |
+
<DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.015322" RangeMax="1.4848" offset="6416" />
|
| 15 |
+
<DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.029895" RangeMax="1.4802" offset="8464" />
|
| 16 |
+
<DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-0.65987" RangeMax="0.65305" offset="10576" />
|
| 17 |
+
<DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.00016856" RangeMax="0.15088" offset="12704" />
|
| 18 |
+
<DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.13125" RangeMax="0.12964" offset="14812" />
|
| 19 |
+
<DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.00034982" RangeMax="0.023298" offset="16948" />
|
| 20 |
+
<DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.0085169" RangeMax="0.008414" offset="19092" />
|
| 21 |
+
<DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="0.42589" RangeMax="199.58" offset="21240" />
|
| 22 |
+
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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="24328" />
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<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="25232" />
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<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="25724" />
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| 32 |
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</Cells>
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</Piece>
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</UnstructuredGrid>
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AQAAAACAAABABgAA7gUAAA==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AQAAAACAAABABgAAKAYAAA==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AQAAAACAAABABgAAGQYAAA==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AQAAAACAAABABgAALwYAAA==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AQAAAACAAABABgAANQYAAA==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AQAAAACAAABABgAAOQYAAA==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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/Kn0p42/simulation0910_Kn0p42Ma2p9/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
|
| 7 |
+
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| 8 |
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1 0.5 0
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_AQAAAACAAADgCwAA7wIAAA==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AQAAAACAAADgCwAAQgAAAA==eJzzFe3xetUi5iB1IFrB8aOYw5l6j/21seIOM7Ukpl45Ke7gOyo/Kj8qPyo/Kj8qPyo/Kj8qPyo/Kj9k5AFM17t9AQAAAACAAADgCwAAHAIAAA==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AQAAAACAAACALwAAdQcAAA==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AQAAAACAAADgCwAALgIAAA==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eJzj5BwFAwUA8vkNXQ==
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/Lambda/Lambda_300000.pvtu
ADDED
|
@@ -0,0 +1,19 @@
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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 |
+
</PUnstructuredGrid>
|
| 19 |
+
</VTKFile>
|
CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/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/Kn0p42/simulation0911_Kn0p42Ma3p0/config.txt
ADDED
|
@@ -0,0 +1,78 @@
|
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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 0.42
|
| 13 |
+
variable Ma equal 3.0
|
| 14 |
+
variable To equal 273.0
|
| 15 |
+
variable Tb equal 273.0
|
| 16 |
+
variable theta equal 0.0
|
| 17 |
+
variable mfp equal ${Kn}*${L}
|
| 18 |
+
variable cpmfp equal 4
|
| 19 |
+
variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
|
| 20 |
+
variable sos equal sqrt(${gamma}*${R}*${To})
|
| 21 |
+
variable vo equal ${Ma}*${sos}
|
| 22 |
+
variable vx equal ${vo}*cos(${theta}*2*PI/360)
|
| 23 |
+
variable vy equal ${vo}*sin(${theta}*2*PI/360)
|
| 24 |
+
variable ppc equal 30
|
| 25 |
+
variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
|
| 26 |
+
variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
|
| 27 |
+
variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 28 |
+
variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
|
| 29 |
+
variable nave equal 10000
|
| 30 |
+
variable noutput equal 300000
|
| 31 |
+
clear
|
| 32 |
+
shell mkdir output
|
| 33 |
+
shell mkdir grid
|
| 34 |
+
shell mkdir surf
|
| 35 |
+
seed 7
|
| 36 |
+
dimension 2
|
| 37 |
+
global nrho ${nden}
|
| 38 |
+
global fnum ${Fnum}
|
| 39 |
+
timestep ${tstep}
|
| 40 |
+
global gridcut 1.0 particle/reorder 100 comm/sort yes
|
| 41 |
+
region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
|
| 42 |
+
region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
|
| 43 |
+
region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
|
| 44 |
+
boundary o o p
|
| 45 |
+
create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
|
| 46 |
+
create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
|
| 47 |
+
balance_grid rcb cell
|
| 48 |
+
species gas.species Ar
|
| 49 |
+
mixture air Ar frac 1.0
|
| 50 |
+
mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
|
| 51 |
+
collide vss air gas.vhs
|
| 52 |
+
collide_modify vremax 100 yes remain no nearcp yes 10
|
| 53 |
+
read_surf cylinder.surf
|
| 54 |
+
surf_collide 1 diffuse 273.0 1.0
|
| 55 |
+
surf_modify all collide 1
|
| 56 |
+
fix in emit/face air xlo ylo yhi
|
| 57 |
+
balance_grid rcb cell
|
| 58 |
+
create_particles air n 0
|
| 59 |
+
stats 10000
|
| 60 |
+
stats_style step cpu np nattempt ncoll nscoll npave nscollave
|
| 61 |
+
run 200000
|
| 62 |
+
compute 1 grid all air n nrho massrho u v w
|
| 63 |
+
compute 2 grid all air trot
|
| 64 |
+
compute 3 tvib/grid all air
|
| 65 |
+
compute 4 thermal/grid all air press temp
|
| 66 |
+
fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 67 |
+
dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
|
| 68 |
+
dump_modify 1 format float %12.5g
|
| 69 |
+
compute 5 surf all air n press px py shx shy fx fy etot erot evib
|
| 70 |
+
fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
|
| 71 |
+
dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 72 |
+
dump_modify 2 format float %12.5g
|
| 73 |
+
compute 6 lambda/grid f_1[2] f_1[8] Ar kx
|
| 74 |
+
dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
|
| 75 |
+
dump_modify 3 format float %12.5g
|
| 76 |
+
run 100000
|
| 77 |
+
write_grid grid/final-grid.dat
|
| 78 |
+
write_surf surf/geom.surf
|
CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
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|
| 363 |
+
153 153 154
|
| 364 |
+
154 154 155
|
| 365 |
+
155 155 156
|
| 366 |
+
156 156 157
|
| 367 |
+
157 157 158
|
| 368 |
+
158 158 159
|
| 369 |
+
159 159 160
|
| 370 |
+
160 160 161
|
| 371 |
+
161 161 162
|
| 372 |
+
162 162 163
|
| 373 |
+
163 163 164
|
| 374 |
+
164 164 165
|
| 375 |
+
165 165 166
|
| 376 |
+
166 166 167
|
| 377 |
+
167 167 168
|
| 378 |
+
168 168 169
|
| 379 |
+
169 169 170
|
| 380 |
+
170 170 171
|
| 381 |
+
171 171 172
|
| 382 |
+
172 172 173
|
| 383 |
+
173 173 174
|
| 384 |
+
174 174 175
|
| 385 |
+
175 175 176
|
| 386 |
+
176 176 177
|
| 387 |
+
177 177 178
|
| 388 |
+
178 178 179
|
| 389 |
+
179 179 180
|
| 390 |
+
180 180 181
|
| 391 |
+
181 181 182
|
| 392 |
+
182 182 183
|
| 393 |
+
183 183 184
|
| 394 |
+
184 184 185
|
| 395 |
+
185 185 186
|
| 396 |
+
186 186 187
|
| 397 |
+
187 187 188
|
| 398 |
+
188 188 189
|
| 399 |
+
189 189 190
|
| 400 |
+
190 190 191
|
| 401 |
+
191 191 192
|
| 402 |
+
192 192 193
|
| 403 |
+
193 193 194
|
| 404 |
+
194 194 195
|
| 405 |
+
195 195 196
|
| 406 |
+
196 196 197
|
| 407 |
+
197 197 198
|
| 408 |
+
198 198 199
|
| 409 |
+
199 199 200
|
| 410 |
+
200 200 1
|
CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/gas.species
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Species data
|
| 2 |
+
|
| 3 |
+
# species name
|
| 4 |
+
# molecular weight (atomic mass units, e.g. 16 for oxygen)
|
| 5 |
+
# molecular mass (kg)
|
| 6 |
+
# rotational degrees of freedom (integer, unitless)
|
| 7 |
+
# inverse rotational relaxtion number (unitless)
|
| 8 |
+
# vibrational degrees of freedom (integer, unitless)
|
| 9 |
+
# inverse vibrational relaxation number (unitless)
|
| 10 |
+
# vibrational temperature (K)
|
| 11 |
+
# species weight (unitless)
|
| 12 |
+
# multiple of electon charge (1 for a proton)
|
| 13 |
+
|
| 14 |
+
Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
|
CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/gas.vhs
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# VHS collision model parameters for each species
|
| 2 |
+
|
| 3 |
+
# species name
|
| 4 |
+
# diameter (m)
|
| 5 |
+
# omega (unitless)
|
| 6 |
+
# tref (referenced temperature)
|
| 7 |
+
# alpha (unitless)
|
| 8 |
+
|
| 9 |
+
Ar 4.17e-10 0.81 273 1.0
|
CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/grid/Grid_0_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/grid/Grid_1_300000.vtu
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
|
| 3 |
+
<UnstructuredGrid>
|
| 4 |
+
<Piece NumberOfPoints="480" NumberOfCells="380" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="101" RangeMax="9880" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="5.6298" RangeMax="5.9471" offset="1028" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.9474" RangeMax="4.9474" offset="1140" />
|
| 11 |
+
<DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="20.321" RangeMax="46.926" offset="1884" />
|
| 12 |
+
<DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="1.9687e+19" RangeMax="4.5463e+19" offset="4156" />
|
| 13 |
+
<DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="1.3053e-06" RangeMax="3.0142e-06" offset="7924" />
|
| 14 |
+
<DataArray type="Float64" Name="f_1[4]" format="appended" RangeMin="597.06" RangeMax="884.67" offset="11696" />
|
| 15 |
+
<DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-125.44" RangeMax="126.63" offset="13412" />
|
| 16 |
+
<DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-3.6344" RangeMax="4.5405" offset="16380" />
|
| 17 |
+
<DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.11474" RangeMax="0.23763" offset="20032" />
|
| 18 |
+
<DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="343.09" RangeMax="485.91" offset="23488" />
|
| 19 |
+
<DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0" RangeMax="0" offset="25252" />
|
| 20 |
+
<DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0" RangeMax="0" offset="25312" />
|
| 21 |
+
</CellData>
|
| 22 |
+
<Points>
|
| 23 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.5771712403" RangeMax="7.8102496759" offset="25372" />
|
| 24 |
+
</Points>
|
| 25 |
+
<Cells>
|
| 26 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="27160" />
|
| 27 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="29732" />
|
| 28 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="30500" />
|
| 29 |
+
</Cells>
|
| 30 |
+
</Piece>
|
| 31 |
+
</UnstructuredGrid>
|
| 32 |
+
<AppendedData encoding="base64">
|
| 33 |
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_AQAAAACAAADgCwAA7wIAAA==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AQAAAACAAADgCwAAQgAAAA==eJzzFe3xetUi5iB1IFrB8aOYw5l6j/21seIOM7Ukpl45Ke7gOyo/Kj8qPyo/Kj8qPyo/Kj8qPyo/Kj9k5AFM17t9AQAAAACAAADgCwAAHAIAAA==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AQAAAACAAADgCwAA9goAAA==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AQAAAACAAADgCwAA+woAAA==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AQAAAACAAADgCwAAoAgAAA==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AQAAAACAAADgCwAADgoAAA==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AQAAAACAAADgCwAAGQAAAA==eJztwQENAAAAwqD3T20PBxQAAPBiC+AAAQ==AQAAAACAAADgCwAAGQAAAA==eJztwQENAAAAwqD3T20PBxQAAPBiC+AAAQ==AQAAAACAAACAFgAAKgUAAA==eJxN2D1o1VcYgPELboULHQIFAwWHkICDIChISbwQ6BAoKBQKHQIZAgEDd0ohkMEMXkMlBCQOii3q5BYoZCgkrZAtk5uZ3O6UTaduPa/v+zyeTM/yg3DO/Z+v+d/+Gg0Gr94N2t+fF8f2zA9/27//cWIPBu/s+WaPXr/U0mHpsHRYOuzq8nMtHZYOS4elww6nz7R0WDosHZYOezp5qqXD0mHpsHTYzYUDLR2WDkuHpcPOnj/R0mHpsHRYOuz5gz0tHZYOS4elw24PH2npsHRYOiwdduFoV0uHpcPSYen8bexo6fxt7Gjp/G3saIfTLS2d87ulpXN+t7o5GndzNO7maNzN0bibo3E3zhvdOG9047zRjfNGN84b3VitdWO11o3VWjdWa91YrWkff/pVS4elw9Jh6bDTWz9r6bB0WDosHXZ5+yctHZYOS4elw745+VFLh6XD0mHp+S9rzkhL55oz0tK55oy0q8t3tHSuG3e0dK4bd7Snk5taOr/9m1o6v/2b2tnz61o6v9/rWjq/3+va7eGcls5vcE5L5zc4p724972WDkuHpcPSYW8ffqelw9Jh6bB02MMP32rpsHRYOiwd9vPVb7R0WDosHZYOe3/1ipYOS4elw9L52/jvXyydv43s/G1k528jO+f3Ukvn/F5q6ZzfS+3FvY9aOufoo5bOOfqoPfzwXkvnOL/X0jnO77X3V8+0dI7VmZbOsTrTDqfHWjrX2GMtnWvssfb8wVstnevkWy2d6+Rb7eNPL7R0rnUvtHSudS+0y9v7WjrXq30tnevVvnYweKilc815qKVzzXmo3R6ua+n8fte1dH6/69rPV1e0dH4LK1o6v4UV7ebCDS2de9kNLZ172Q3t9NaMls59YUZL574woz2dfPoHS+c6mZ3rZHauk9m5759o6dz3T7R07vsn2jcnEy2de8pES+eeMtEuHF3T0rn/XtPSuf9e094+/OUUS+c6mZ3rZHauk9llFzu72NnFzi52drH7n5e6/3mp+5+Xuv95qfufl7qx0tI1Vlq6xkrbxlxL1xxp6ZojbZtrLV2/DS1dvw1t+43dxdL1m7yLpes3eRfbfttaur4FLV3fgrZ9U1q6vkEtXd+gtn3LWrq+fS1d3762rSFautYcLV1rjratXVq61jotXWudtq2ZWrrWWC1da6y2rdVautZ2LV1ru7btEVq69hQtXXuKtu1NWrr2Mi1de5m27YlauvZQLV17qLbtxVq69m4tXXu3tp0BtHSdGbR0nRm07eyhpeusoqXrrNKN1ZXR17HKrjPS6OtYZdcZaYRtZy0tXWczLV1nM20742npOhNq6ToTatvZUkvXWVRL11lU2860WrrOwFq6zsDadpbW0nX21tJ19ta2M7yWrjO/lq4zv7bdHbR03TW0dN01tO3OoqXrjqOl646jbXclLV13Ky1ddyttu6Np6brTaem602nb3VBL111SS9ddUtvupFq67rBauu6w2nYX1tJ1d9bSdXfWtju4lq47u5auO7u23f21dL0VaOl6K9BuLoy1dL1RaOl6o9AOp1taut5GtHS9jWiPXu9o6XqT0dL1JtON1W43VrvdWO12Y7XbjdWudnv4SEvXG5SWrjeobpz3unHe68Z5rxvnvW6c97Sz50+0dL25ael6c+vm6KCbo4Nujg66OTro5uhAezp5qqXrjVFL1xujdjh9pqXrbVNL19umdnX5uZauN1UtXW+q2qPXL7V0veVq6XrL1Q4Gr7R0vSFr6XpD/tL/A8rAo6s=AQAAAACAAACALwAAdQcAAA==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AQAAAACAAADgCwAALgIAAA==eJwtxRGUIgoAAMD+/e69IAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAgWFhYOdkYmGPgVctgRRx1z3AknnXLaGWedc94FF11y2RVXXXPdDTfdctsdd91z3wMPPfLYE08989wLL73y2htvvfPeBx998tkXX33z3Q8//fLbH3/52z8O/Pdb0CGHHXHUMcedcNIpp51x1jnnXXDRJZddcdU1191w0y2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|
| 34 |
+
</AppendedData>
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| 35 |
+
</VTKFile>
|
CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/grid/Grid_300000.pvtu
ADDED
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<?xml version="1.0"?>
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| 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 |
+
</PUnstructuredGrid>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/grid/final-grid.dat
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/log.sparta
ADDED
|
@@ -0,0 +1,318 @@
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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 |
+
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 0.42
|
| 17 |
+
variable Ma equal 3.0
|
| 18 |
+
variable To equal 273.0
|
| 19 |
+
variable Tb equal 273.0
|
| 20 |
+
variable theta equal 0.0
|
| 21 |
+
variable mfp equal ${Kn}*${L}
|
| 22 |
+
variable mfp equal 0.42*${L}
|
| 23 |
+
variable mfp equal 0.42*1
|
| 24 |
+
variable cpmfp equal 4
|
| 25 |
+
variable nden equal 1.0/sqrt(2.0)/${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}*${Kn})
|
| 29 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.42/${cpmfp}*${Kn})
|
| 30 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.42/4*${Kn})
|
| 31 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.42/4*0.42)
|
| 32 |
+
variable sos equal sqrt(${gamma}*${R}*${To})
|
| 33 |
+
variable sos equal sqrt(1.666666667*${R}*${To})
|
| 34 |
+
variable sos equal sqrt(1.666666667*208.242684766214*${To})
|
| 35 |
+
variable sos equal sqrt(1.666666667*208.242684766214*273)
|
| 36 |
+
variable vo equal ${Ma}*${sos}
|
| 37 |
+
variable vo equal 3*${sos}
|
| 38 |
+
variable vo equal 3*307.815564238681
|
| 39 |
+
variable vx equal ${vo}*cos(${theta}*2*PI/360)
|
| 40 |
+
variable vx equal 923.446692716043*cos(${theta}*2*PI/360)
|
| 41 |
+
variable vx equal 923.446692716043*cos(0*2*PI/360)
|
| 42 |
+
variable vy equal ${vo}*sin(${theta}*2*PI/360)
|
| 43 |
+
variable vy equal 923.446692716043*sin(${theta}*2*PI/360)
|
| 44 |
+
variable vy equal 923.446692716043*sin(0*2*PI/360)
|
| 45 |
+
variable ppc equal 30
|
| 46 |
+
variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
|
| 47 |
+
variable xncells equal (6-${xmin})/${mfp}*${cpmfp}
|
| 48 |
+
variable xncells equal (6--5)/${mfp}*${cpmfp}
|
| 49 |
+
variable xncells equal (6--5)/0.42*${cpmfp}
|
| 50 |
+
variable xncells equal (6--5)/0.42*4
|
| 51 |
+
variable yncells equal (${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)/0.42*${cpmfp}
|
| 55 |
+
variable yncells equal (5--5)/0.42*4
|
| 56 |
+
variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 57 |
+
variable Fnum equal 2.93511032428949e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 58 |
+
variable Fnum equal 2.93511032428949e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 59 |
+
variable Fnum equal 2.93511032428949e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 60 |
+
variable Fnum equal 2.93511032428949e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
|
| 61 |
+
variable Fnum equal 2.93511032428949e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
|
| 62 |
+
variable Fnum equal 2.93511032428949e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
|
| 63 |
+
variable Fnum equal 2.93511032428949e+19*(6--5)*(5--5)/30/104.761904761905/${yncells}
|
| 64 |
+
variable Fnum equal 2.93511032428949e+19*(6--5)*(5--5)/30/104.761904761905/95.2380952380952
|
| 65 |
+
variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
|
| 66 |
+
variable tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
|
| 67 |
+
variable tstep equal (--5+6)/${vx}/${xncells}/10/4
|
| 68 |
+
variable tstep equal (--5+6)/923.446692716043/${xncells}/10/4
|
| 69 |
+
variable tstep equal (--5+6)/923.446692716043/104.761904761905/10/4
|
| 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 2.93511032428949e+19
|
| 81 |
+
global fnum ${Fnum}
|
| 82 |
+
global fnum 1.07865304417639e+16
|
| 83 |
+
timestep ${tstep}
|
| 84 |
+
timestep 2.84261129603414e-06
|
| 85 |
+
global gridcut 1.0 particle/reorder 100 comm/sort yes
|
| 86 |
+
region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
|
| 87 |
+
region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
|
| 88 |
+
region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
|
| 89 |
+
boundary o o p
|
| 90 |
+
create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
|
| 91 |
+
create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
|
| 92 |
+
create_box -5 6 ${ymin} ${ymax} -0.5 0.5
|
| 93 |
+
create_box -5 6 -5 ${ymax} -0.5 0.5
|
| 94 |
+
create_box -5 6 -5 5 -0.5 0.5
|
| 95 |
+
Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
|
| 96 |
+
create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
|
| 97 |
+
create_grid 104.761904761905 ${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 104.761904761905 95.2380952380952 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 43651 child grid cells
|
| 100 |
+
CPU time = 0.0848763 secs
|
| 101 |
+
create/ghost percent = 1.32647 98.6735
|
| 102 |
+
balance_grid rcb cell
|
| 103 |
+
Balance grid migrated 43561 cells
|
| 104 |
+
CPU time = 0.0759128 secs
|
| 105 |
+
reassign/sort/migrate/ghost percent = 68.3117 0.0426134 9.71178 21.9339
|
| 106 |
+
species gas.species Ar
|
| 107 |
+
mixture air Ar frac 1.0
|
| 108 |
+
mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
|
| 109 |
+
mixture air Ar vstream 923.446692716043 ${vy} 0.0 temp ${To}
|
| 110 |
+
mixture air Ar vstream 923.446692716043 0 0.0 temp ${To}
|
| 111 |
+
mixture air Ar vstream 923.446692716043 0 0.0 temp 273
|
| 112 |
+
collide vss air gas.vhs
|
| 113 |
+
collide_modify vremax 100 yes remain no nearcp yes 10
|
| 114 |
+
read_surf cylinder.surf
|
| 115 |
+
200 lines
|
| 116 |
+
-0.5 0.5 xlo xhi
|
| 117 |
+
-0.5 0.5 ylo yhi
|
| 118 |
+
0 0 zlo zhi
|
| 119 |
+
0.0157073 min line length
|
| 120 |
+
304 0 = cells overlapping surfs, overlap cells with unmarked corner pts
|
| 121 |
+
38993 4354 304 = cells outside/inside/overlapping surfs
|
| 122 |
+
304 = surf cells with 1,2,etc splits
|
| 123 |
+
109.215 109.215 = cell-wise and global flow volume
|
| 124 |
+
CPU time = 0.0986688 secs
|
| 125 |
+
read/check/sort/surf2grid/ghost/inout/particle percent = 33.7986 22.8594 2.99468 24.1303 16.2171 5.89314 0.159016
|
| 126 |
+
surf2grid time = 0.0238091 secs
|
| 127 |
+
map/comm1/comm2/comm3/comm4/split percent = 12.3879 22.5279 3.60843 1.64344 11.8309 6.25244
|
| 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 1350 cells
|
| 133 |
+
CPU time = 0.0266447 secs
|
| 134 |
+
reassign/sort/migrate/ghost percent = 9.07603 0.101821 35.7802 55.042
|
| 135 |
+
create_particles air n 0
|
| 136 |
+
Created 297182 particles
|
| 137 |
+
CPU time = 0.0117545 secs
|
| 138 |
+
stats 10000
|
| 139 |
+
stats_style step cpu np nattempt ncoll nscoll npave nscollave
|
| 140 |
+
run 200000
|
| 141 |
+
Memory usage per proc in Mbytes:
|
| 142 |
+
particles (ave,min,max) = 1.6084 0 1.6875
|
| 143 |
+
grid (ave,min,max) = 2.47327 1.51379 4.32629
|
| 144 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 145 |
+
total (ave,min,max) = 4.10226 3.22189 6.03439
|
| 146 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 147 |
+
0 0 297182 0 0 0 0 0
|
| 148 |
+
10000 8.5296505 328235 6191 5228 8 314472.15 9.025
|
| 149 |
+
20000 18.461429 328873 6325 5304 9 321757.74 9.05865
|
| 150 |
+
30000 28.104319 328764 6277 5260 4 324139.56 9.0846
|
| 151 |
+
40000 38.396963 329485 6382 5342 8 325469.45 9.09585
|
| 152 |
+
50000 48.7483 329493 6450 5477 10 326233.29 9.1071
|
| 153 |
+
60000 58.297818 328713 6280 5283 12 326725.53 9.1071167
|
| 154 |
+
70000 67.685366 328317 6332 5395 8 327061.37 9.1031
|
| 155 |
+
80000 77.543021 329833 6440 5477 12 327323.8 9.1052875
|
| 156 |
+
90000 86.889079 328845 6396 5417 13 327532.63 9.1065111
|
| 157 |
+
100000 96.541402 328812 6312 5363 4 327658.84 9.11278
|
| 158 |
+
110000 107.97964 328901 6230 5221 7 327815.68 9.1143182
|
| 159 |
+
120000 117.31127 328928 6398 5379 6 327950.26 9.1170583
|
| 160 |
+
130000 126.78207 329070 6273 5313 8 328040.72 9.1182846
|
| 161 |
+
140000 136.6322 328662 6320 5328 7 328103.16 9.1170071
|
| 162 |
+
150000 145.91007 328436 6370 5375 8 328158.89 9.1172267
|
| 163 |
+
160000 155.5698 329763 6261 5314 17 328230.71 9.1193187
|
| 164 |
+
170000 166.45408 328846 6370 5456 13 328281.55 9.1216471
|
| 165 |
+
180000 176.20849 329342 6388 5359 6 328328.02 9.1193778
|
| 166 |
+
190000 185.74512 328893 6371 5406 7 328368.57 9.1215421
|
| 167 |
+
200000 195.60552 328485 6223 5273 3 328389.8 9.120835
|
| 168 |
+
Loop time of 195.606 on 128 procs for 200000 steps with 328485 particles
|
| 169 |
+
|
| 170 |
+
MPI task timing breakdown:
|
| 171 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 172 |
+
---------------------------------------------------------------
|
| 173 |
+
Move | 0.022896 | 8.0744 | 46.695 | 359.6 | 4.13
|
| 174 |
+
Coll | 0.22912 | 7.55 | 53.338 | 356.1 | 3.86
|
| 175 |
+
Sort | 0.080708 | 1.2977 | 7.78 | 148.4 | 0.66
|
| 176 |
+
Comm | 48.383 | 81.991 | 93.104 | 104.4 | 41.92
|
| 177 |
+
Modify | 0.019628 | 0.10224 | 1.9321 | 87.2 | 0.05
|
| 178 |
+
Output | 0.0060705 | 0.0098366 | 0.011334 | 0.7 | 0.01
|
| 179 |
+
Other | | 96.58 | | | 49.37
|
| 180 |
+
|
| 181 |
+
Particle moves = 65677959897 (65.7B)
|
| 182 |
+
Cells touched = 68794727216 (68.8B)
|
| 183 |
+
Particle comms = 175484566 (175M)
|
| 184 |
+
Boundary collides = 0 (0K)
|
| 185 |
+
Boundary exits = 17490321 (17.5M)
|
| 186 |
+
SurfColl checks = 89147386 (89.1M)
|
| 187 |
+
SurfColl occurs = 1824167 (1.82M)
|
| 188 |
+
Surf reactions = 0 (0K)
|
| 189 |
+
Collide attempts = 1389062744 (1.39B)
|
| 190 |
+
Collide occurs = 1082811045 (1.08B)
|
| 191 |
+
Reactions = 0 (0K)
|
| 192 |
+
Particles stuck = 0
|
| 193 |
+
Axisymm bad moves = 0
|
| 194 |
+
|
| 195 |
+
Particle-moves/CPUsec/proc: 2.62318e+06
|
| 196 |
+
Particle-moves/step: 328390
|
| 197 |
+
Cell-touches/particle/step: 1.04746
|
| 198 |
+
Particle comm iterations/step: 1
|
| 199 |
+
Particle fraction communicated: 0.00267189
|
| 200 |
+
Particle fraction colliding with boundary: 0
|
| 201 |
+
Particle fraction exiting boundary: 0.000266304
|
| 202 |
+
Surface-checks/particle/step: 0.00135734
|
| 203 |
+
Surface-collisions/particle/step: 2.77744e-05
|
| 204 |
+
Surf-reactions/particle/step: 0
|
| 205 |
+
Collision-attempts/particle/step: 0.0211496
|
| 206 |
+
Collisions/particle/step: 0.0164867
|
| 207 |
+
Reactions/particle/step: 0
|
| 208 |
+
|
| 209 |
+
Particles: 2566.29 ave 16059 max 0 min
|
| 210 |
+
Histogram: 83 15 6 5 6 6 3 0 2 2
|
| 211 |
+
Cells: 341.023 ave 342 max 340 min
|
| 212 |
+
Histogram: 5 0 0 0 0 115 0 0 0 8
|
| 213 |
+
GhostCell: 8845.66 ave 16242 max 485 min
|
| 214 |
+
Histogram: 18 13 13 8 17 3 6 4 16 30
|
| 215 |
+
EmptyCell: 51.3438 ave 168 max 0 min
|
| 216 |
+
Histogram: 60 2 7 6 11 13 12 3 6 8
|
| 217 |
+
Surfs: 200 ave 200 max 200 min
|
| 218 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 219 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 220 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 221 |
+
compute 1 grid all air n nrho massrho u v w
|
| 222 |
+
compute 2 grid all air trot
|
| 223 |
+
compute 3 tvib/grid all air
|
| 224 |
+
compute 4 thermal/grid all air press temp
|
| 225 |
+
fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 226 |
+
fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 227 |
+
fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 228 |
+
dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
|
| 229 |
+
dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
|
| 230 |
+
dump_modify 1 format float %12.5g
|
| 231 |
+
compute 5 surf all air n press px py shx shy fx fy etot erot evib
|
| 232 |
+
fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
|
| 233 |
+
fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
|
| 234 |
+
fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
|
| 235 |
+
dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 236 |
+
dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 237 |
+
dump_modify 2 format float %12.5g
|
| 238 |
+
compute 6 lambda/grid f_1[2] f_1[8] Ar kx
|
| 239 |
+
dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
|
| 240 |
+
dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
|
| 241 |
+
dump_modify 3 format float %12.5g
|
| 242 |
+
run 100000
|
| 243 |
+
Memory usage per proc in Mbytes:
|
| 244 |
+
particles (ave,min,max) = 1.6084 0 1.6875
|
| 245 |
+
grid (ave,min,max) = 2.47327 1.51379 4.32629
|
| 246 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 247 |
+
total (ave,min,max) = 4.21701 3.3362 6.1492
|
| 248 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 249 |
+
200000 0 328485 6223 5273 0 0 0
|
| 250 |
+
210000 15.895811 328931 6267 5330 7 329120.31 9.1454
|
| 251 |
+
220000 33.61707 329039 6372 5343 8 329173.06 9.12705
|
| 252 |
+
230000 49.592318 328765 6237 5294 6 329047.75 9.1091
|
| 253 |
+
240000 65.618433 329093 6242 5311 3 329060.02 9.110425
|
| 254 |
+
250000 81.739432 328363 6348 5440 9 329073.94 9.1157
|
| 255 |
+
260000 98.840947 329063 6245 5249 6 329049.03 9.1198167
|
| 256 |
+
270000 114.68604 329315 6460 5467 11 329032.48 9.1183571
|
| 257 |
+
280000 131.10241 328974 6352 5335 7 329057.87 9.1285125
|
| 258 |
+
290000 147.17255 329134 6343 5374 9 329050.81 9.1289889
|
| 259 |
+
300000 164.8304 329304 6506 5472 15 329087.92 9.1294
|
| 260 |
+
Loop time of 164.831 on 128 procs for 100000 steps with 329304 particles
|
| 261 |
+
|
| 262 |
+
MPI task timing breakdown:
|
| 263 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 264 |
+
---------------------------------------------------------------
|
| 265 |
+
Move | 0.011323 | 4.0626 | 23.523 | 254.3 | 2.46
|
| 266 |
+
Coll | 0.11498 | 3.8056 | 27.045 | 252.9 | 2.31
|
| 267 |
+
Sort | 0.042491 | 0.65859 | 3.9417 | 104.8 | 0.40
|
| 268 |
+
Comm | 28.462 | 45.342 | 50.994 | 70.7 | 27.51
|
| 269 |
+
Modify | 1.6047 | 11.218 | 60.907 | 392.2 | 6.81
|
| 270 |
+
Output | 0.033712 | 0.035267 | 0.039126 | 0.6 | 0.02
|
| 271 |
+
Other | | 99.71 | | | 60.49
|
| 272 |
+
|
| 273 |
+
Particle moves = 32908791749 (32.9B)
|
| 274 |
+
Cells touched = 34468951796 (34.5B)
|
| 275 |
+
Particle comms = 87848694 (87.8M)
|
| 276 |
+
Boundary collides = 0 (0K)
|
| 277 |
+
Boundary exits = 8759401 (8.76M)
|
| 278 |
+
SurfColl checks = 44601860 (44.6M)
|
| 279 |
+
SurfColl occurs = 912940 (0.913M)
|
| 280 |
+
Surf reactions = 0 (0K)
|
| 281 |
+
Collide attempts = 698163178 (698M)
|
| 282 |
+
Collide occurs = 544186144 (544M)
|
| 283 |
+
Reactions = 0 (0K)
|
| 284 |
+
Particles stuck = 0
|
| 285 |
+
Axisymm bad moves = 0
|
| 286 |
+
|
| 287 |
+
Particle-moves/CPUsec/proc: 1.55978e+06
|
| 288 |
+
Particle-moves/step: 329088
|
| 289 |
+
Cell-touches/particle/step: 1.04741
|
| 290 |
+
Particle comm iterations/step: 1
|
| 291 |
+
Particle fraction communicated: 0.00266946
|
| 292 |
+
Particle fraction colliding with boundary: 0
|
| 293 |
+
Particle fraction exiting boundary: 0.000266172
|
| 294 |
+
Surface-checks/particle/step: 0.00135532
|
| 295 |
+
Surface-collisions/particle/step: 2.77415e-05
|
| 296 |
+
Surf-reactions/particle/step: 0
|
| 297 |
+
Collision-attempts/particle/step: 0.0212151
|
| 298 |
+
Collisions/particle/step: 0.0165362
|
| 299 |
+
Reactions/particle/step: 0
|
| 300 |
+
|
| 301 |
+
Particles: 2572.69 ave 16024 max 0 min
|
| 302 |
+
Histogram: 83 14 7 5 6 7 2 0 0 4
|
| 303 |
+
Cells: 341.023 ave 342 max 340 min
|
| 304 |
+
Histogram: 5 0 0 0 0 115 0 0 0 8
|
| 305 |
+
GhostCell: 8845.66 ave 16242 max 485 min
|
| 306 |
+
Histogram: 18 13 13 8 17 3 6 4 16 30
|
| 307 |
+
EmptyCell: 51.3438 ave 168 max 0 min
|
| 308 |
+
Histogram: 60 2 7 6 11 13 12 3 6 8
|
| 309 |
+
Surfs: 200 ave 200 max 200 min
|
| 310 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 311 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 312 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 313 |
+
write_grid grid/final-grid.dat
|
| 314 |
+
grid cells = 43651
|
| 315 |
+
CPU time = 0.00642559 secs
|
| 316 |
+
write_surf surf/geom.surf
|
| 317 |
+
surf elements = 200
|
| 318 |
+
CPU time = 0.00169964 secs
|
CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/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/Kn0p42/simulation0911_Kn0p42Ma3p0/output/grid.300000.dat
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/output/lambdakn.300000.dat
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/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 0.00215 0.020472 -0.02047 0.00032156 -1.0143e-05 -0.00064567 -0.00032168 -5.0908e-06 1.5891 0 0
|
| 11 |
+
129 -0.31871 0.38526 -0.30645 0.39508 0.07517 0.82435 0.51542 -0.64335 0.13758 0.11022 0.010257 -0.0083741 116.15 0 0
|
| 12 |
+
2 0.49975 -0.015705 0.49901 -0.031395 0.00218 0.021498 -0.021474 0.0010127 8.0622e-06 0.00017096 -0.00033717 1.8592e-05 1.2643 0 0
|
| 13 |
+
130 -0.30645 0.39508 -0.29389 0.40451 0.07172 0.80436 0.48295 -0.64323 0.13961 0.10483 0.0097788 -0.0084569 122.29 0 0
|
| 14 |
+
3 0.49901 -0.031395 0.49778 -0.047054 0.00223 0.022402 -0.022333 0.0017576 -3.4724e-05 -0.00044121 -0.00035133 2.0677e-05 1.8409 0 0
|
| 15 |
+
131 -0.29389 0.40451 -0.28104 0.41354 0.06893 0.76009 0.43706 -0.62187 0.14051 0.098754 0.0090721 -0.0082168 110.57 0 0
|
| 16 |
+
4 0.49778 -0.047054 0.49606 -0.062667 0.00215 0.021268 -0.02114 0.0023338 7.0085e-05 0.00063482 -0.00033095 4.663e-05 1.151 0 0
|
| 17 |
+
132 -0.28104 0.41354 -0.26791 0.42216 0.06691 0.74006 0.40631 -0.61855 0.14549 0.095571 0.0086673 -0.0082145 112.29 0 0
|
| 18 |
+
5 0.49606 -0.062667 0.49384 -0.078217 0.00203 0.019436 -0.019242 0.0027386 0.0002105 0.0014791 -0.00029894 6.6247e-05 1.6058 0 0
|
| 19 |
+
133 -0.26791 0.42216 -0.25452 0.43037 0.06159 0.6811 0.35587 -0.58073 0.14875 0.091152 0.0079262 -0.00769 100.71 0 0
|
| 20 |
+
6 0.49384 -0.078217 0.49114 -0.093691 0.00196 0.020036 -0.019737 0.0034447 2.592e-05 0.00014852 -0.00030961 5.644e-05 1.3691 0 0
|
| 21 |
+
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| 56 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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34 0.25452 -0.43037 0.24088 -0.43815 0.00545 0.050887 -0.025212 0.044202 0.02979 0.016992 7.1908e-05 0.00096119 9.876 0 0
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| 77 |
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162 0.16937 0.47044 0.18406 0.46489 0.00779 0.073963 -0.026144 -0.069188 0.04412 -0.016672 0.00028236 -0.0013486 13.733 0 0
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| 78 |
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| 79 |
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163 0.18406 0.46489 0.19857 0.45888 0.00811 0.079352 -0.030367 -0.073312 0.043089 -0.017848 0.00019984 -0.0014319 13.073 0 0
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| 80 |
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| 81 |
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| 82 |
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37 0.21289 -0.45241 0.19857 -0.45888 0.00693 0.066423 -0.027334 0.060539 0.038331 0.017307 0.00017272 0.0012227 10.892 0 0
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| 83 |
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| 84 |
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| 85 |
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166 0.227 0.4455 0.24088 0.43815 0.00627 0.058759 -0.027495 -0.051929 0.035502 -0.018798 0.00012578 -0.0011109 11.681 0 0
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| 86 |
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| 87 |
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| 88 |
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40 0.16937 -0.47044 0.15451 -0.47553 0.00977 0.095252 -0.030854 0.090116 0.055668 0.01906 0.00038977 0.0017149 16.735 0 0
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| 89 |
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| 90 |
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41 0.15451 -0.47553 0.1395 -0.48015 0.00978 0.096215 -0.028291 0.091961 0.056994 0.017534 0.00045085 0.0017199 16.577 0 0
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| 91 |
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| 92 |
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42 0.1395 -0.48015 0.12434 -0.48429 0.01182 0.11613 -0.030644 0.11202 0.06655 0.018206 0.00056398 0.0020454 19.98 0 0
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| 93 |
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|
| 94 |
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43 0.12434 -0.48429 0.10907 -0.48796 0.01242 0.12426 -0.029007 0.12082 0.063706 0.015295 0.00054503 0.0021381 21.195 0 0
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| 95 |
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|
| 96 |
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| 97 |
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| 98 |
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45 0.093691 -0.49114 0.078217 -0.49384 0.01425 0.14275 -0.024544 0.14063 0.074486 0.013 0.00078446 0.0024131 25.088 0 0
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| 99 |
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173 0.31871 0.38526 0.33066 0.37506 0.0031 0.027372 -0.017776 -0.020814 0.014041 -0.011992 -5.8672e-05 -0.00051529 3.8852 0 0
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| 100 |
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46 0.078217 -0.49384 0.062667 -0.49606 0.01581 0.16269 -0.022923 0.16106 0.083181 0.011838 0.0009465 0.0027158 26.621 0 0
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| 101 |
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| 102 |
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47 0.062667 -0.49606 0.047054 -0.49778 0.01658 0.17182 -0.018854 0.17078 0.083881 0.0092605 0.0010214 0.0028279 28.218 0 0
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| 103 |
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| 104 |
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48 0.047054 -0.49778 0.031395 -0.49901 0.01814 0.18243 -0.014314 0.18187 0.088557 0.0069696 0.0011662 0.0029662 29.938 0 0
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| 105 |
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176 0.35355 0.35355 0.36448 0.34227 0.00241 0.022647 -0.016264 -0.015761 0.0087446 -0.0090237 -0.00011811 -0.0003893 2.9501 0 0
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| 106 |
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49 0.031395 -0.49901 0.015705 -0.49975 0.02014 0.20858 -0.0098253 0.20834 0.10327 0.0048701 0.0014678 0.003349 35.691 0 0
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| 107 |
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177 0.36448 0.34227 0.37506 0.33066 0.00211 0.017684 -0.01308 -0.011902 0.0073808 -0.0081114 -8.9513e-05 -0.00031435 2.4312 0 0
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| 108 |
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50 0.015705 -0.49975 0 -0.5 0.02153 0.2242 -0.0035216 0.22417 0.10769 0.0016917 0.0016362 0.0035477 37.249 0 0
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| 109 |
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178 0.37506 0.33066 0.38526 0.31871 0.00216 0.018671 -0.014197 -0.012126 0.0064083 -0.0075032 -0.00012235 -0.00030832 2.8249 0 0
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| 110 |
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51 0 -0.5 -0.015705 -0.49975 0.02253 0.23668 0.0037176 0.23665 0.11073 -0.0017395 0.0017977 0.0036898 40.035 0 0
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| 111 |
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179 0.38526 0.31871 0.39508 0.30645 0.00211 0.0182 -0.014203 -0.011379 0.0055958 -0.0069847 -0.0001352 -0.00028845 2.4635 0 0
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| 112 |
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52 -0.015705 -0.49975 -0.031395 -0.49901 0.02525 0.264 0.012436 0.26371 0.11605 -0.0054727 0.0020182 0.0040562 41.805 0 0
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| 113 |
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180 0.39508 0.30645 0.40451 0.29389 0.00198 0.016155 -0.012919 -0.0096997 0.0045868 -0.0061091 -0.00013087 -0.00024831 2.2323 0 0
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| 114 |
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53 -0.031395 -0.49901 -0.047054 -0.49778 0.02659 0.28136 0.022075 0.28049 0.12086 -0.009512 0.0022451 0.0042564 44.746 0 0
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| 115 |
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181 0.40451 0.29389 0.41354 0.28104 0.00192 0.01728 -0.014138 -0.0099363 0.0044444 -0.0063238 -0.00015226 -0.0002554 1.781 0 0
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| 116 |
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54 -0.047054 -0.49778 -0.062667 -0.49606 0.02691 0.28765 0.031565 0.28591 0.11462 -0.012654 0.0022961 0.0042921 44.586 0 0
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| 117 |
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182 0.41354 0.28104 0.42216 0.26791 0.00177 0.016211 -0.013549 -0.0089001 0.0035905 -0.005466 -0.00015642 -0.00022565 1.9127 0 0
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| 118 |
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55 -0.062667 -0.49606 -0.078217 -0.49384 0.02925 0.31102 0.043823 0.30792 0.12715 -0.018095 0.0026854 0.0045523 50.964 0 0
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| 119 |
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183 0.42216 0.26791 0.43037 0.25452 0.00173 0.016721 -0.014257 -0.0087366 0.0027573 -0.0044995 -0.00018063 -0.0002079 1.9924 0 0
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| 120 |
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56 -0.078217 -0.49384 -0.093691 -0.49114 0.03277 0.34521 0.059352 0.34007 0.12829 -0.02239 0.0029473 0.0049899 49.158 0 0
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| 121 |
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184 0.43037 0.25452 0.43815 0.24088 0.00167 0.0152 -0.013203 -0.0075308 0.0027838 -0.0048805 -0.00016366 -0.00019495 1.6454 0 0
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| 122 |
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57 -0.093691 -0.49114 -0.10907 -0.48796 0.03448 0.36776 0.074578 0.36012 0.12877 -0.026668 0.0031941 0.0052377 58.277 0 0
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| 123 |
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185 0.43815 0.24088 0.4455 0.227 0.00193 0.017277 -0.015269 -0.0080846 0.0012978 -0.002451 -0.00021945 -0.00016549 1.5232 0 0
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| 124 |
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58 -0.10907 -0.48796 -0.12434 -0.48429 0.03695 0.39562 0.092355 0.38469 0.14188 -0.034062 0.0036792 0.0055074 60.12 0 0
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| 125 |
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186 0.4455 0.227 0.45241 0.21289 0.00182 0.017887 -0.016063 -0.007869 0.0019734 -0.0040281 -0.00022131 -0.00018687 2.1058 0 0
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| 126 |
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59 -0.12434 -0.48429 -0.1395 -0.48015 0.03886 0.41666 0.10994 0.40189 0.14602 -0.039946 0.0040205 0.0056852 65.695 0 0
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| 127 |
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187 0.45241 0.21289 0.45888 0.19857 0.00168 0.015822 -0.014421 -0.0065112 0.0017438 -0.0038622 -0.00019912 -0.00016294 1.2549 0 0
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| 128 |
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60 -0.1395 -0.48015 -0.15451 -0.47553 0.04118 0.44402 0.13056 0.42439 0.14273 -0.043909 0.0042926 0.0059763 66.899 0 0
|
| 129 |
+
188 0.45888 0.19857 0.46489 0.18406 0.00188 0.017988 -0.016619 -0.0068837 0.00085341 -0.0020603 -0.00024763 -0.00014049 0.94043 0 0
|
| 130 |
+
61 -0.15451 -0.47553 -0.16937 -0.47044 0.04383 0.47884 0.1551 0.45302 0.14552 -0.049822 0.004722 0.0063332 73.838 0 0
|
| 131 |
+
189 0.46489 0.18406 0.47044 0.16937 0.00177 0.017709 -0.016566 -0.0062598 0.00042707 -0.0011302 -0.0002535 -0.00011608 1.1458 0 0
|
| 132 |
+
62 -0.16937 -0.47044 -0.18406 -0.46489 0.04664 0.50469 0.1784 0.47211 0.14907 -0.05633 0.0051436 0.0065308 79.872 0 0
|
| 133 |
+
190 0.47044 0.16937 0.47553 0.15451 0.00201 0.01888 -0.017862 -0.0061155 -0.00010062 0.0002939 -0.00028214 -9.1442e-05 1.2077 0 0
|
| 134 |
+
63 -0.18406 -0.46489 -0.19857 -0.45888 0.049 0.53722 0.20559 0.49633 0.15296 -0.063356 0.0056317 0.0068008 79.619 0 0
|
| 135 |
+
191 0.47553 0.15451 0.48015 0.1395 0.00206 0.02054 -0.019632 -0.0060396 0.00054774 -0.0017804 -0.00029976 -0.00012283 1.6449 0 0
|
| 136 |
+
64 -0.19857 -0.45888 -0.21289 -0.45241 0.05107 0.55656 0.22903 0.50725 0.14728 -0.066499 0.0059108 0.006923 82.749 0 0
|
| 137 |
+
192 0.48015 0.1395 0.48429 0.12434 0.002 0.019896 -0.019191 -0.00525 0.00038505 -0.0014075 -0.00029539 -0.00010457 1.1143 0 0
|
| 138 |
+
65 -0.21289 -0.45241 -0.227 -0.4455 0.05435 0.59199 0.26044 0.53163 0.15226 -0.074591 0.0064824 0.0071788 91.184 0 0
|
| 139 |
+
193 0.48429 0.12434 0.48796 0.10907 0.00164 0.015673 -0.015239 -0.0036587 0.00020026 -0.00083413 -0.00023623 -7.057e-05 1.0868 0 0
|
| 140 |
+
66 -0.227 -0.4455 -0.24088 -0.43815 0.05818 0.64115 0.30001 0.56662 0.14909 -0.078938 0.0070541 0.0076602 94.329 0 0
|
| 141 |
+
194 0.48796 0.10907 0.49114 0.093691 0.00195 0.017924 -0.017551 -0.0036347 9.1532e-05 -0.00044199 -0.00027425 -6.4034e-05 1.1615 0 0
|
| 142 |
+
67 -0.24088 -0.43815 -0.25452 -0.43037 0.0599 0.66392 0.32895 0.57671 0.16195 -0.092376 0.0077107 0.0076075 100.33 0 0
|
| 143 |
+
195 0.49114 0.093691 0.49384 0.078217 0.00186 0.018766 -0.018486 -0.0032264 5.3189e-05 -0.00030476 -0.00028954 -5.5465e-05 1.497 0 0
|
| 144 |
+
68 -0.25452 -0.43037 -0.26791 -0.42216 0.06299 0.6952 0.36324 0.59276 0.15024 -0.092069 0.0080655 0.0078645 103.11 0 0
|
| 145 |
+
196 0.49384 0.078217 0.49606 0.062667 0.00202 0.020938 -0.020729 -0.0029502 -4.7488e-05 0.00033366 -0.00032634 -4.1098e-05 1.2617 0 0
|
| 146 |
+
69 -0.26791 -0.42216 -0.28104 -0.41354 0.06536 0.72271 0.39678 0.60404 0.14757 -0.096936 0.0085503 0.0079653 105.03 0 0
|
| 147 |
+
197 0.49606 0.062667 0.49778 0.047054 0.0021 0.020414 -0.020291 -0.0022401 -7.258e-05 0.00065742 -0.00031985 -2.486e-05 1.4056 0 0
|
| 148 |
+
70 -0.28104 -0.41354 -0.29389 -0.40451 0.06966 0.77083 0.44323 0.63066 0.15007 -0.10547 0.0093192 0.0082493 117.53 0 0
|
| 149 |
+
198 0.49778 0.047054 0.49901 0.031395 0.00194 0.019788 -0.019727 -0.0015525 0.00016639 -0.0021142 -0.00030724 -5.7595e-05 1.0908 0 0
|
| 150 |
+
71 -0.29389 -0.40451 -0.30645 -0.39508 0.07377 0.81592 0.48989 0.65248 0.14731 -0.1106 0.010009 0.0085114 119.47 0 0
|
| 151 |
+
199 0.49901 0.031395 0.49975 0.015705 0.00179 0.018425 -0.018404 -0.00086791 -4.506e-05 0.00095549 -0.00028979 1.3756e-06 0.949 0 0
|
| 152 |
+
72 -0.30645 -0.39508 -0.31871 -0.38526 0.07684 0.85199 0.5327 0.66492 0.14412 -0.11546 0.010631 0.0086304 120.7 0 0
|
| 153 |
+
200 0.49975 0.015705 0.5 0 0.00223 0.022633 -0.022631 -0.00035551 1.3947e-05 -0.0008878 -0.00035525 -1.9529e-05 1.7237 0 0
|
| 154 |
+
73 -0.31871 -0.38526 -0.33066 -0.37506 0.07879 0.87818 0.57033 0.66778 0.13902 -0.11873 0.011142 0.008624 129.88 0 0
|
| 155 |
+
74 -0.33066 -0.37506 -0.34227 -0.36448 0.08419 0.93552 0.62962 0.69194 0.13238 -0.12046 0.011969 0.0089765 130.35 0 0
|
| 156 |
+
75 -0.34227 -0.36448 -0.35355 -0.35355 0.08499 0.94617 0.65845 0.67947 0.12814 -0.12418 0.012355 0.0087222 137.42 0 0
|
| 157 |
+
76 -0.35355 -0.35355 -0.36448 -0.34227 0.0889 0.99102 0.71168 0.68966 0.12645 -0.13049 0.013165 0.0087832 143.56 0 0
|
| 158 |
+
77 -0.36448 -0.34227 -0.37506 -0.33066 0.09195 1.0308 0.7624 0.69373 0.11344 -0.12467 0.013757 0.0089385 150.11 0 0
|
| 159 |
+
78 -0.37506 -0.33066 -0.38526 -0.31871 0.09647 1.0821 0.82281 0.70274 0.10079 -0.11801 0.014507 0.0091846 152.91 0 0
|
| 160 |
+
79 -0.38526 -0.31871 -0.39508 -0.30645 0.09749 1.1025 0.86041 0.68932 0.10182 -0.12709 0.015114 0.0088312 154.41 0 0
|
| 161 |
+
80 -0.39508 -0.30645 -0.40451 -0.29389 0.10168 1.1354 0.90793 0.68169 0.099428 -0.13243 0.015823 0.0086275 158.9 0 0
|
| 162 |
+
81 -0.40451 -0.29389 -0.41354 -0.28104 0.10575 1.1941 0.97698 0.68663 0.099332 -0.14133 0.016906 0.0085652 172.61 0 0
|
| 163 |
+
82 -0.41354 -0.28104 -0.42216 -0.26791 0.10883 1.2226 1.0219 0.67124 0.09187 -0.13986 0.017494 0.0083466 177.98 0 0
|
| 164 |
+
83 -0.42216 -0.26791 -0.43037 -0.25452 0.11191 1.2553 1.0704 0.65592 0.080126 -0.13075 0.018071 0.0082489 181.42 0 0
|
| 165 |
+
84 -0.43037 -0.25452 -0.43815 -0.24088 0.11406 1.2809 1.1127 0.63465 0.072617 -0.12731 0.018618 0.0079689 179.19 0 0
|
| 166 |
+
85 -0.43815 -0.24088 -0.4455 -0.227 0.11718 1.3117 1.1593 0.6138 0.06821 -0.12883 0.01928 0.0076176 183.87 0 0
|
| 167 |
+
86 -0.4455 -0.227 -0.45241 -0.21289 0.12031 1.3521 1.2142 0.59484 0.058736 -0.1199 0.019995 0.0074601 189.32 0 0
|
| 168 |
+
87 -0.45241 -0.21289 -0.45888 -0.19857 0.12183 1.372 1.2504 0.5646 0.053651 -0.11882 0.020484 0.007002 189.36 0 0
|
| 169 |
+
88 -0.45888 -0.19857 -0.46489 -0.18406 0.12416 1.398 1.2916 0.53498 0.047634 -0.115 0.021035 0.0065968 195.03 0 0
|
| 170 |
+
89 -0.46489 -0.18406 -0.47044 -0.16937 0.1258 1.4231 1.3312 0.50303 0.035187 -0.09312 0.021463 0.0064386 201.62 0 0
|
| 171 |
+
90 -0.47044 -0.16937 -0.47553 -0.15451 0.1272 1.4305 1.3534 0.46336 0.031647 -0.092432 0.021755 0.0058263 200.39 0 0
|
| 172 |
+
91 -0.47553 -0.15451 -0.48015 -0.1395 0.13182 1.4927 1.4267 0.43892 0.028234 -0.091777 0.022854 0.0054528 208.56 0 0
|
| 173 |
+
92 -0.48015 -0.1395 -0.48429 -0.12434 0.13166 1.493 1.4401 0.39396 0.022915 -0.083763 0.022979 0.0048723 207.29 0 0
|
| 174 |
+
93 -0.48429 -0.12434 -0.48796 -0.10907 0.13347 1.5031 1.4616 0.35089 0.01873 -0.078015 0.023251 0.0042861 210.68 0 0
|
| 175 |
+
94 -0.48796 -0.10907 -0.49114 -0.093691 0.13715 1.5415 1.5095 0.31259 0.01194 -0.057657 0.023897 0.0040044 210.68 0 0
|
| 176 |
+
95 -0.49114 -0.093691 -0.49384 -0.078217 0.13803 1.5581 1.5349 0.26789 0.0090115 -0.051634 0.024251 0.0033968 217.91 0 0
|
| 177 |
+
96 -0.49384 -0.078217 -0.49606 -0.062667 0.13679 1.535 1.5197 0.21629 0.0066895 -0.047003 0.023976 0.002659 207.85 0 0
|
| 178 |
+
97 -0.49606 -0.062667 -0.49778 -0.047054 0.13821 1.5587 1.5493 0.17104 0.0041354 -0.037458 0.0244 0.0020982 218.1 0 0
|
| 179 |
+
98 -0.49778 -0.047054 -0.49901 -0.031395 0.13892 1.5655 1.5607 0.12283 0.0017479 -0.02221 0.024541 0.0015804 212.98 0 0
|
| 180 |
+
99 -0.49901 -0.031395 -0.49975 -0.015705 0.141 1.5923 1.5905 0.075006 0.00068396 -0.014503 0.024993 0.00095034 214.73 0 0
|
| 181 |
+
100 -0.49975 -0.015705 -0.5 0 0.13808 1.5525 1.5523 0.024385 8.3906e-05 -0.0053412 0.024384 0.00029913 211 0 0
|
| 182 |
+
101 -0.5 0 -0.49975 0.015705 0.13785 1.5534 1.5532 -0.0244 5.899e-05 0.0037551 0.024398 -0.00032428 210.94 0 0
|
| 183 |
+
102 -0.49975 0.015705 -0.49901 0.031395 0.14048 1.5855 1.5838 -0.074689 0.00055622 0.011795 0.024886 -0.0009879 223.16 0 0
|
| 184 |
+
103 -0.49901 0.031395 -0.49778 0.047054 0.13746 1.5588 1.554 -0.1223 0.0030656 0.038953 0.024457 -0.0013092 215.65 0 0
|
| 185 |
+
104 -0.49778 0.047054 -0.49606 0.062667 0.13824 1.5651 1.5557 -0.17175 0.0039435 0.03572 0.024498 -0.0021367 212.37 0 0
|
| 186 |
+
105 -0.49606 0.062667 -0.49384 0.078217 0.13722 1.5475 1.532 -0.21804 0.0061414 0.043152 0.024161 -0.002747 215.51 0 0
|
| 187 |
+
106 -0.49384 0.078217 -0.49114 0.093691 0.13677 1.5341 1.5113 -0.26376 0.0093043 0.053311 0.023884 -0.0033056 216.04 0 0
|
| 188 |
+
107 -0.49114 0.093691 -0.48796 0.10907 0.13583 1.531 1.4992 -0.31047 0.015095 0.072891 0.023786 -0.0037318 208.76 0 0
|
| 189 |
+
108 -0.48796 0.10907 -0.48429 0.12434 0.13239 1.4925 1.4513 -0.34843 0.017433 0.072615 0.02307 -0.0043323 207.36 0 0
|
| 190 |
+
109 -0.48429 0.12434 -0.48015 0.1395 0.13202 1.4896 1.4368 -0.39307 0.024506 0.089578 0.022954 -0.0047671 207.49 0 0
|
| 191 |
+
110 -0.48015 0.1395 -0.47553 0.15451 0.13057 1.4719 1.4068 -0.43279 0.030199 0.098163 0.022571 -0.005256 202.22 0 0
|
| 192 |
+
111 -0.47553 0.15451 -0.47044 0.16937 0.12858 1.4462 1.3682 -0.46843 0.031997 0.093454 0.021993 -0.0058899 200.99 0 0
|
| 193 |
+
112 -0.47044 0.16937 -0.46489 0.18406 0.12705 1.4372 1.3444 -0.50801 0.038812 0.10271 0.021727 -0.0063661 197.66 0 0
|
| 194 |
+
113 -0.46489 0.18406 -0.45888 0.19857 0.12294 1.3814 1.2762 -0.52863 0.049203 0.11879 0.020819 -0.0064375 189.34 0 0
|
| 195 |
+
114 -0.45888 0.19857 -0.45241 0.21289 0.12133 1.3652 1.2442 -0.56179 0.053601 0.11871 0.020385 -0.0069595 184.4 0 0
|
| 196 |
+
115 -0.45241 0.21289 -0.4455 0.227 0.11816 1.3222 1.1873 -0.58167 0.059141 0.12072 0.019579 -0.0072403 184.1 0 0
|
| 197 |
+
116 -0.4455 0.227 -0.43815 0.24088 0.11737 1.3174 1.1643 -0.61644 0.069737 0.13171 0.019383 -0.0076138 183.28 0 0
|
| 198 |
+
117 -0.43815 0.24088 -0.43037 0.25452 0.11239 1.2558 1.0908 -0.62219 0.069881 0.12252 0.018231 -0.0078485 170.81 0 0
|
| 199 |
+
118 -0.43037 0.25452 -0.42216 0.26791 0.11091 1.2483 1.0644 -0.65225 0.086559 0.14125 0.018078 -0.0080264 178.57 0 0
|
| 200 |
+
119 -0.42216 0.26791 -0.41354 0.28104 0.10649 1.184 0.98958 -0.65003 0.082513 0.12561 0.01684 -0.0082372 168.17 0 0
|
| 201 |
+
120 -0.41354 0.28104 -0.40451 0.29389 0.106 1.1932 0.97624 -0.68611 0.094963 0.13512 0.016826 -0.0086547 162.66 0 0
|
| 202 |
+
121 -0.40451 0.29389 -0.39508 0.30645 0.10086 1.1371 0.90929 -0.68272 0.093648 0.12473 0.015754 -0.0087645 157.84 0 0
|
| 203 |
+
122 -0.39508 0.30645 -0.38526 0.31871 0.09789 1.0955 0.85499 -0.68498 0.11163 0.13934 0.015183 -0.0085705 157.7 0 0
|
| 204 |
+
123 -0.38526 0.31871 -0.37506 0.33066 0.09401 1.0561 0.80304 -0.68586 0.11084 0.12978 0.014355 -0.0087345 150.35 0 0
|
| 205 |
+
124 -0.37506 0.33066 -0.36448 0.34227 0.09002 1.0036 0.74229 -0.67543 0.11528 0.12669 0.01347 -0.0086193 141.79 0 0
|
| 206 |
+
125 -0.36448 0.34227 -0.35355 0.35355 0.08911 0.98909 0.7103 -0.68832 0.12579 0.12981 0.013133 -0.0087728 143.81 0 0
|
| 207 |
+
126 -0.35355 0.35355 -0.34227 0.36448 0.08524 0.94813 0.65982 -0.68088 0.13269 0.12859 0.012448 -0.008675 132.79 0 0
|
| 208 |
+
127 -0.34227 0.36448 -0.33066 0.37506 0.0833 0.92424 0.62203 -0.6836 0.13548 0.12328 0.011898 -0.0088011 132.03 0 0
|
| 209 |
+
128 -0.33066 0.37506 -0.31871 0.38526 0.07874 0.87366 0.5674 -0.66434 0.13298 0.11358 0.011001 -0.0086509 126.55 0 0
|
CylinderKnMa/Kn0p42/simulation0911_Kn0p42Ma3p0/runmpirun128.sh
ADDED
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@@ -0,0 +1,18 @@
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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 |
+
#!/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/Kn0p42/simulation0911_Kn0p42Ma3p0/runmpirun64.sh
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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
|