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  1. .gitattributes +5 -0
  2. CylinderKnMa/Kn0p08/simulation0088_Kn0p08Ma5p7/output/lambdakn.300000.dat +3 -0
  3. CylinderKnMa/Kn0p08/simulation0089_Kn0p08Ma5p8/Lambda/Lambda_14_300000.vtu +3 -0
  4. CylinderKnMa/Kn0p08/simulation0089_Kn0p08Ma5p8/grid/Grid_14_300000.vtu +3 -0
  5. CylinderKnMa/Kn0p08/simulation0089_Kn0p08Ma5p8/output/grid.300000.dat +3 -0
  6. CylinderKnMa/Kn0p08/simulation0089_Kn0p08Ma5p8/output/lambdakn.300000.dat +3 -0
  7. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Grid.pvd +9 -0
  8. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda.pvd +9 -0
  9. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_0_300000.vtu +0 -0
  10. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_10_300000.vtu +0 -0
  11. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_11_300000.vtu +0 -0
  12. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_12_300000.vtu +27 -0
  13. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_13_300000.vtu +27 -0
  14. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_14_300000.vtu +0 -0
  15. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_15_300000.vtu +27 -0
  16. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_1_300000.vtu +0 -0
  17. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_2_300000.vtu +0 -0
  18. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_300000.pvtu +33 -0
  19. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_3_300000.vtu +0 -0
  20. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_4_300000.vtu +0 -0
  21. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_5_300000.vtu +0 -0
  22. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_6_300000.vtu +0 -0
  23. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_7_300000.vtu +0 -0
  24. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_8_300000.vtu +0 -0
  25. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_9_300000.vtu +0 -0
  26. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Surf.pvd +9 -0
  27. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/config.txt +78 -0
  28. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/cylinder.surf +410 -0
  29. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/gas.species +14 -0
  30. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/gas.vhs +9 -0
  31. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_0_300000.vtu +0 -0
  32. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_10_300000.vtu +0 -0
  33. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_11_300000.vtu +0 -0
  34. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_12_300000.vtu +0 -0
  35. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_13_300000.vtu +0 -0
  36. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_14_300000.vtu +0 -0
  37. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_15_300000.vtu +0 -0
  38. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_1_300000.vtu +0 -0
  39. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_2_300000.vtu +0 -0
  40. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_300000.pvtu +41 -0
  41. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_3_300000.vtu +0 -0
  42. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_4_300000.vtu +0 -0
  43. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_6_300000.vtu +0 -0
  44. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_7_300000.vtu +0 -0
  45. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_8_300000.vtu +0 -0
  46. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_9_300000.vtu +0 -0
  47. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/final-grid.dat +0 -0
  48. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/log.sparta +319 -0
  49. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/mir.txt +3 -0
  50. CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/output/surf.300000.dat +209 -0
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_AQAAAACAAAAgZwAA1Q4AAA==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AQAAAACAAAAgZwAAqAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAYiUAAA==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AgAAAACAAAD4IAAAbxkAAJMHAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_13_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0"?>
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="3434" NumberOfCells="3300" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-1.9795" RangeMax="0.9959" offset="5096" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.074653" RangeMax="0.12123" offset="21204" />
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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="43356" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="67268" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="73104" />
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+ </Cells>
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+ </Piece>
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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_AQAAAACAAAAgZwAA2w4AAA==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AQAAAACAAAAgZwAA4QMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAtikAAA==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AQAAAACAAAAgZwAA8h4AAA==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AgAAAACAAAD4IAAADhoAAL0HAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_14_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_15_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="45112" />
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+ </UnstructuredGrid>
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+ <AppendedData encoding="base64">
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_AQAAAACAAAAQRAAABgoAAA==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AQAAAACAAAAQRAAAjwIAAA==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AQAAAACAAAAQRAAASQEAAA==eJzt2U8rwwEcgPELrRw0xLZkEpHElctKO01NbD8tB5mVKTtNjVK0XRQOVqYoGUJpceEikdhBTSY02pTLJuRAHKZF/vy+b+M5fd7Ac3v8ngNfSK9t9SP+uZ+a/nY3I4pJ50iH0YEoZjOu1Rsfoljmaf+YCSGKtlT5mGsHUfQ6NXHDJaIYzLxXXr0iirGu4831wiJE1afkVq6nEVHUOBespVZE0XwxkHj0IIquLnvdyhSi6E+aRrs3EcVwb/2Z9hRRTMazSvoBUfxU0huLecWIqrr/MKoRRXvbUqDWjCh645NX932IYlDx1cz7EcVY1Lw9GEYUny1NP1WHiKImbrCl7hDFWiV/bTaHKLqi1w1uQwmiasByNF7Rgigun0cuEg5EUd2cw4ji50l/pG8OUdRZOr/0u4iifc848XKJKA6ZCm7X3hDFX6QXVXY=AQAAAACAAAAQRAAABDkAAA==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AQAAAACAAAAQRAAAZykAAA==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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_2_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_300000.pvtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_5_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_6_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_7_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_8_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Lambda/Lambda_9_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/Surf.pvd ADDED
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+ </Collection>
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+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/config.txt ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ variable BZ equal 1.380649E-23
2
+ variable PI equal 3.1415926536
3
+ variable molecular_mass equal 6.63E-26
4
+ variable molecular_diameter equal 4.17E-10
5
+ variable gamma equal 1.666666667
6
+ variable R equal ${BZ}/${molecular_mass}
7
+ variable L equal 1.0
8
+ variable xmin equal -5.0
9
+ variable xmax equal 6.0
10
+ variable ymin equal -5.0
11
+ variable ymax equal 5.0
12
+ variable Kn equal 0.12
13
+ variable Ma equal 2.1
14
+ variable To equal 273.0
15
+ variable Tb equal 273.0
16
+ variable theta equal 0.0
17
+ variable mfp equal ${Kn}*${L}
18
+ variable cpmfp equal 4
19
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
20
+ variable sos equal sqrt(${gamma}*${R}*${To})
21
+ variable vo equal ${Ma}*${sos}
22
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
23
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
24
+ variable ppc equal 30
25
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
26
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
27
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
28
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
29
+ variable nave equal 10000
30
+ variable noutput equal 300000
31
+ clear
32
+ shell mkdir output
33
+ shell mkdir grid
34
+ shell mkdir surf
35
+ seed 7
36
+ dimension 2
37
+ global nrho ${nden}
38
+ global fnum ${Fnum}
39
+ timestep ${tstep}
40
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
41
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
42
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
43
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
44
+ boundary o o p
45
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
46
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
47
+ balance_grid rcb cell
48
+ species gas.species Ar
49
+ mixture air Ar frac 1.0
50
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
51
+ collide vss air gas.vhs
52
+ collide_modify vremax 100 yes remain no nearcp yes 10
53
+ read_surf cylinder.surf
54
+ surf_collide 1 diffuse 273.0 1.0
55
+ surf_modify all collide 1
56
+ fix in emit/face air xlo ylo yhi
57
+ balance_grid rcb cell
58
+ create_particles air n 0
59
+ stats 10000
60
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
61
+ run 200000
62
+ compute 1 grid all air n nrho massrho u v w
63
+ compute 2 grid all air trot
64
+ compute 3 tvib/grid all air
65
+ compute 4 thermal/grid all air press temp
66
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
67
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
68
+ dump_modify 1 format float %12.5g
69
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
70
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
71
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
72
+ dump_modify 2 format float %12.5g
73
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
74
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
75
+ dump_modify 3 format float %12.5g
76
+ run 100000
77
+ write_grid grid/final-grid.dat
78
+ write_surf surf/geom.surf
CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
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+ 200 lines
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+
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+ Points
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/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/Kn0p12/simulation0152_Kn0p12Ma2p1/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/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_0_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_10_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_11_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_12_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_13_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_14_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_15_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_1_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_2_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_300000.pvtu ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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>
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+ <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]"/>
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+ <PDataArray type="Float64" Name="f_1[2]"/>
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+ <PDataArray type="Float64" Name="f_1[3]"/>
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+ <PDataArray type="Float64" Name="f_1[4]"/>
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+ <PDataArray type="Float64" Name="f_1[5]"/>
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+ <PDataArray type="Float64" Name="f_1[6]"/>
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+ <PDataArray type="Float64" Name="f_1[7]"/>
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+ <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>
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+ <Piece Source="Grid_0_300000.vtu"/>
25
+ <Piece Source="Grid_1_300000.vtu"/>
26
+ <Piece Source="Grid_2_300000.vtu"/>
27
+ <Piece Source="Grid_3_300000.vtu"/>
28
+ <Piece Source="Grid_4_300000.vtu"/>
29
+ <Piece Source="Grid_5_300000.vtu"/>
30
+ <Piece Source="Grid_6_300000.vtu"/>
31
+ <Piece Source="Grid_7_300000.vtu"/>
32
+ <Piece Source="Grid_8_300000.vtu"/>
33
+ <Piece Source="Grid_9_300000.vtu"/>
34
+ <Piece Source="Grid_10_300000.vtu"/>
35
+ <Piece Source="Grid_11_300000.vtu"/>
36
+ <Piece Source="Grid_12_300000.vtu"/>
37
+ <Piece Source="Grid_13_300000.vtu"/>
38
+ <Piece Source="Grid_14_300000.vtu"/>
39
+ <Piece Source="Grid_15_300000.vtu"/>
40
+ </PUnstructuredGrid>
41
+ </VTKFile>
CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_3_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_4_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_6_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_7_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_8_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/Grid_9_300000.vtu ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/grid/final-grid.dat ADDED
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CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/log.sparta ADDED
@@ -0,0 +1,319 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 0.12
17
+ variable Ma equal 2.1
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 0.12*${L}
23
+ variable mfp equal 0.12*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${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}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*0.12)
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 2.1*${sos}
38
+ variable vo equal 2.1*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 646.41268490123*cos(${theta}*2*PI/360)
41
+ variable vx equal 646.41268490123*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 646.41268490123*sin(${theta}*2*PI/360)
44
+ variable vy equal 646.41268490123*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${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)/0.12*${cpmfp}
50
+ variable xncells equal (6--5)/0.12*4
51
+ variable yncells equal (${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)/0.12*${cpmfp}
55
+ variable yncells equal (5--5)/0.12*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 3.59551014725462e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 3.59551014725462e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/${yncells}
64
+ variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/333.333333333333
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}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/646.41268490123/${xncells}/10/4
69
+ variable tstep equal (--5+6)/646.41268490123/366.666666666667/10/4
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 3.59551014725462e+20
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 1.16024950858537e-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 366.666666666667 ${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 366.666666666667 333.333333333333 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 528090 child grid cells
100
+ CPU time = 0.428881 secs
101
+ create/ghost percent = 0.753889 99.2461
102
+ balance_grid rcb cell
103
+ Balance grid migrated 527129 cells
104
+ CPU time = 0.335194 secs
105
+ reassign/sort/migrate/ghost percent = 20.1661 0.0454633 7.65756 72.1308
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 646.41268490123 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 646.41268490123 0 0.0 temp ${To}
111
+ mixture air Ar vstream 646.41268490123 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
+ 1068 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 471864 55158 1068 = cells outside/inside/overlapping surfs
122
+ 1068 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.384023 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 6.65118 6.88769 0.835268 18.4866 67.1393 2.00406 0.0625429
126
+ surf2grid time = 0.0709927 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 21.4313 17.4507 16.8616 6.19887 5.78266 15.8159
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 4498 cells
133
+ CPU time = 0.258282 secs
134
+ reassign/sort/migrate/ghost percent = 1.95543 0.0295258 3.68564 94.3294
135
+ create_particles air n 0
136
+ WARNING: Created unexpected # of particles: 3640487 versus 3640491 (../create_particles.cpp:346)
137
+ Created 3640487 particles
138
+ CPU time = 0.0585925 secs
139
+ stats 10000
140
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
141
+ run 200000
142
+ Memory usage per proc in Mbytes:
143
+ particles (ave,min,max) = 3.82324 0 13.5
144
+ grid (ave,min,max) = 18.2252 2.45129 34.8263
145
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
146
+ total (ave,min,max) = 22.0691 9.59689 43.2844
147
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
148
+ 0 0 3640487 0 0 0 0 0
149
+ 10000 161.28667 3684209 317586 259086 23 3651045.7 26.01
150
+ 20000 382.3174 3803381 341881 280507 25 3698286 25.7384
151
+ 30000 607.15952 3864355 352298 289498 27 3745027.8 25.704567
152
+ 40000 831.55987 3892053 357135 293820 29 3778819.4 25.7495
153
+ 50000 1056.4584 3902080 358734 295324 24 3802680.7 25.785
154
+ 60000 1280.2779 3908548 360082 296479 30 3819909.5 25.812983
155
+ 70000 1504.0193 3910509 359714 295759 17 3832780.6 25.8392
156
+ 80000 1727.9223 3913191 360637 297059 18 3842587.2 25.8595
157
+ 90000 1951.3985 3913933 360891 297078 33 3850499.2 25.879611
158
+ 100000 2175.3718 3910581 360289 296415 19 3856782.6 25.90276
159
+ 110000 2398.605 3913612 360591 296898 33 3861858.2 25.914182
160
+ 120000 2622.3278 3913020 360405 296539 17 3866264.5 25.928333
161
+ 130000 2846.1761 3910683 360229 296831 28 3869750.9 25.934985
162
+ 140000 3070.5548 3912805 360487 297056 25 3872735 25.947721
163
+ 150000 3293.786 3912762 360598 297129 17 3875381 25.953787
164
+ 160000 3518.5347 3914363 360689 296862 28 3877910.5 25.966838
165
+ 170000 3742.7465 3912432 360301 296398 21 3880008.9 25.971365
166
+ 180000 3967.17 3912518 359837 296289 26 3881827.5 25.9732
167
+ 190000 4190.7135 3912713 360378 296875 33 3883463.7 25.976005
168
+ 200000 4413.5048 3912708 359971 296283 20 3884926.5 25.97677
169
+ Loop time of 4413.51 on 128 procs for 200000 steps with 3912708 particles
170
+
171
+ MPI task timing breakdown:
172
+ Section | min time | avg time | max time |%varavg| %total
173
+ ---------------------------------------------------------------
174
+ Move | 0.035455 | 135.48 | 641.41 |1270.4 | 3.07
175
+ Coll | 2.5939 | 432.61 | 3076.3 |2987.1 | 9.80
176
+ Sort | 1.3199 | 98.912 | 478.26 |1213.2 | 2.24
177
+ Comm | 159.27 | 206.67 | 227.48 | 105.9 | 4.68
178
+ Modify | 0.035244 | 0.84021 | 13.264 | 208.4 | 0.02
179
+ Output | 0.0065303 | 0.25876 | 0.30707 | 12.9 | 0.01
180
+ Other | | 3539 | | | 80.18
181
+
182
+ Particle moves = 776985309374 (777B)
183
+ Cells touched = 816818411942 (817B)
184
+ Particle comms = 617100464 (617M)
185
+ Boundary collides = 0 (0K)
186
+ Boundary exits = 65929626 (65.9M)
187
+ SurfColl checks = 148718697 (149M)
188
+ SurfColl occurs = 5195354 (5.2M)
189
+ Surf reactions = 0 (0K)
190
+ Collide attempts = 79672880946 (79.7B)
191
+ Collide occurs = 59242993911 (59.2B)
192
+ Reactions = 0 (0K)
193
+ Particles stuck = 0
194
+ Axisymm bad moves = 0
195
+
196
+ Particle-moves/CPUsec/proc: 1.37537e+06
197
+ Particle-moves/step: 3.88493e+06
198
+ Cell-touches/particle/step: 1.05127
199
+ Particle comm iterations/step: 1
200
+ Particle fraction communicated: 0.000794224
201
+ Particle fraction colliding with boundary: 0
202
+ Particle fraction exiting boundary: 8.48531e-05
203
+ Surface-checks/particle/step: 0.000191405
204
+ Surface-collisions/particle/step: 6.68655e-06
205
+ Surf-reactions/particle/step: 0
206
+ Collision-attempts/particle/step: 0.102541
207
+ Collisions/particle/step: 0.0762473
208
+ Reactions/particle/step: 0
209
+
210
+ Particles: 30568 ave 162668 max 0 min
211
+ Histogram: 72 21 7 4 4 7 3 6 2 2
212
+ Cells: 4125.7 ave 4126 max 4125 min
213
+ Histogram: 38 0 0 0 0 0 0 0 0 90
214
+ GhostCell: 105920 ave 194636 max 5730 min
215
+ Histogram: 24 7 11 10 18 2 6 4 16 30
216
+ EmptyCell: 0 ave 0 max 0 min
217
+ Histogram: 128 0 0 0 0 0 0 0 0 0
218
+ Surfs: 200 ave 200 max 200 min
219
+ Histogram: 128 0 0 0 0 0 0 0 0 0
220
+ GhostSurf: 0 ave 0 max 0 min
221
+ Histogram: 128 0 0 0 0 0 0 0 0 0
222
+ compute 1 grid all air n nrho massrho u v w
223
+ compute 2 grid all air trot
224
+ compute 3 tvib/grid all air
225
+ compute 4 thermal/grid all air press temp
226
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
227
+ fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
228
+ fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
229
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
230
+ dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
231
+ dump_modify 1 format float %12.5g
232
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
233
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
234
+ fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
235
+ fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
236
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
237
+ dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
238
+ dump_modify 2 format float %12.5g
239
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
240
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
241
+ dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
242
+ dump_modify 3 format float %12.5g
243
+ run 100000
244
+ Memory usage per proc in Mbytes:
245
+ particles (ave,min,max) = 4.29785 0 18.5625
246
+ grid (ave,min,max) = 18.2252 2.45129 34.8263
247
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
248
+ total (ave,min,max) = 23.9289 10.982 46.357
249
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
250
+ 200000 0 3912708 359971 296283 0 0 0
251
+ 210000 324.01054 3911223 359444 295954 28 3912389.5 26.03
252
+ 220000 647.9391 3912895 360194 296095 25 3912168 26.10005
253
+ 230000 972.73182 3912203 360120 295984 21 3912274 26.072033
254
+ 240000 1297.5758 3913287 360758 296815 26 3912334.7 26.06755
255
+ 250000 1621.4902 3914209 360965 296697 14 3912765.7 26.06364
256
+ 260000 1945.8061 3909455 359702 296683 22 3912631.8 26.0682
257
+ 270000 2270.7949 3913278 360464 297025 21 3912506.6 26.063829
258
+ 280000 2595.019 3910625 359761 296314 37 3912482.8 26.068775
259
+ 290000 2918.1114 3912548 360046 296314 20 3912285.7 26.072011
260
+ 300000 3242.6132 3911169 360656 297080 34 3912250.9 26.06907
261
+ Loop time of 3242.61 on 128 procs for 100000 steps with 3911169 particles
262
+
263
+ MPI task timing breakdown:
264
+ Section | min time | avg time | max time |%varavg| %total
265
+ ---------------------------------------------------------------
266
+ Move | 0.034296 | 70.223 | 324.85 | 893.7 | 2.17
267
+ Coll | 1.4689 | 231.1 | 1648.7 |2124.3 | 7.13
268
+ Sort | 6.0779 | 59.691 | 261.41 | 852.2 | 1.84
269
+ Comm | 86.993 | 113.94 | 126.1 | 78.7 | 3.51
270
+ Modify | 36.089 | 188.22 | 859.17 |1538.6 | 5.80
271
+ Output | 0.23539 | 0.23775 | 0.24384 | 0.3 | 0.01
272
+ Other | | 2579 | | | 79.54
273
+
274
+ Particle moves = 391225086605 (391B)
275
+ Cells touched = 411234230571 (411B)
276
+ Particle comms = 310012835 (310M)
277
+ Boundary collides = 0 (0K)
278
+ Boundary exits = 33102690 (33.1M)
279
+ SurfColl checks = 74712645 (74.7M)
280
+ SurfColl occurs = 2606907 (2.61M)
281
+ Surf reactions = 0 (0K)
282
+ Collide attempts = 40539843045 (40.5B)
283
+ Collide occurs = 30135817186 (30.1B)
284
+ Reactions = 0 (0K)
285
+ Particles stuck = 0
286
+ Axisymm bad moves = 0
287
+
288
+ Particle-moves/CPUsec/proc: 942587
289
+ Particle-moves/step: 3.91225e+06
290
+ Cell-touches/particle/step: 1.05114
291
+ Particle comm iterations/step: 1
292
+ Particle fraction communicated: 0.000792416
293
+ Particle fraction colliding with boundary: 0
294
+ Particle fraction exiting boundary: 8.46129e-05
295
+ Surface-checks/particle/step: 0.000190971
296
+ Surface-collisions/particle/step: 6.66345e-06
297
+ Surf-reactions/particle/step: 0
298
+ Collision-attempts/particle/step: 0.103623
299
+ Collisions/particle/step: 0.0770294
300
+ Reactions/particle/step: 0
301
+
302
+ Particles: 30556 ave 162494 max 0 min
303
+ Histogram: 72 21 8 3 4 7 3 6 2 2
304
+ Cells: 4125.7 ave 4126 max 4125 min
305
+ Histogram: 38 0 0 0 0 0 0 0 0 90
306
+ GhostCell: 105920 ave 194636 max 5730 min
307
+ Histogram: 24 7 11 10 18 2 6 4 16 30
308
+ EmptyCell: 0 ave 0 max 0 min
309
+ Histogram: 128 0 0 0 0 0 0 0 0 0
310
+ Surfs: 200 ave 200 max 200 min
311
+ Histogram: 128 0 0 0 0 0 0 0 0 0
312
+ GhostSurf: 0 ave 0 max 0 min
313
+ Histogram: 128 0 0 0 0 0 0 0 0 0
314
+ write_grid grid/final-grid.dat
315
+ grid cells = 528090
316
+ CPU time = 0.0694993 secs
317
+ write_surf surf/geom.surf
318
+ surf elements = 200
319
+ CPU time = 0.00355507 secs
CylinderKnMa/Kn0p12/simulation0152_Kn0p12Ma2p1/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/Kn0p12/simulation0152_Kn0p12Ma2p1/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 0.02607 0.63357 -0.63349 0.0099517 3.2488e-05 0.0020681 -0.00995 0.0001888 6.5897 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.21044 5.1434 3.2159 -4.0141 0.42767 0.34262 0.05723 -0.057669 186.77 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.02692 0.64544 -0.64473 0.030405 -0.00015837 -0.0033582 -0.010129 0.00042482 15.965 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.19911 4.8489 2.9114 -3.8776 0.41987 0.31525 0.052325 -0.055955 181.03 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.02552 0.61552 -0.61362 0.048293 -0.0010434 -0.013258 -0.0096548 0.00055031 13.18 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.19203 4.681 2.6916 -3.8297 0.43614 0.30653 0.049128 -0.05534 162.47 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.02673 0.64481 -0.64091 0.070757 -0.0010649 -0.0096459 -0.010084 0.0009599 9.6884 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.18566 4.5212 2.4822 -3.7788 0.46354 0.30449 0.04627 -0.054572 163.17 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.02574 0.61483 -0.60869 0.08663 -0.0033374 -0.02345 -0.0096134 0.00099239 13.047 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.17244 4.207 2.1981 -3.587 0.44238 0.27109 0.041475 -0.052085 154.31 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.02514 0.60879 -0.59973 0.10467 -0.0025575 -0.014654 -0.0094603 0.0014139 11.343 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.16653 4.0676 2.0153 -3.5333 0.46212 0.26359 0.038914 -0.051358 138.57 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.02423 0.58053 -0.56847 0.11772 -0.00066402 -0.0032065 -0.0089396 0.0017988 9.0048 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.15677 3.826 1.7903 -3.3813 0.42087 0.22284 0.034731 -0.049611 131.01 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.02429 0.59041 -0.57409 0.13783 -0.0042535 -0.017717 -0.0090843 0.0018866 16.612 0 0
25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.15113 3.6807 1.6193 -3.3054 0.4779 0.23412 0.032941 -0.048241 124.65 0 0
26
+ 9 0.48429 -0.12434 0.48015 -0.1395 0.02469 0.59217 -0.57119 0.15626 -0.0054671 -0.019984 -0.0090577 0.0021405 10.017 0 0
27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.14032 3.4162 1.4058 -3.1136 0.45729 0.20648 0.029265 -0.045663 115.97 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.024 0.57092 -0.54568 0.16787 -0.0077758 -0.025275 -0.0086933 0.0022398 8.7296 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.13284 3.2269 1.2349 -2.9812 0.45242 0.1874 0.026503 -0.043883 123.85 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.02379 0.56436 -0.53394 0.18281 -0.0059637 -0.017419 -0.0084804 0.0025978 8.0948 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.12545 3.0356 1.073 -2.8396 0.43718 0.1652 0.023721 -0.042008 109.78 0 0
32
+ 12 0.47044 -0.16937 0.46489 -0.18406 0.02408 0.56991 -0.53312 0.20145 -0.0076495 -0.020244 -0.008494 0.0028462 10.199 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.12137 2.9248 0.94741 -2.7671 0.44397 0.152 0.021855 -0.041077 100.08 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.02357 0.56169 -0.51894 0.21495 -0.0056778 -0.013707 -0.0082403 0.003161 11.869 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.11091 2.688 0.79037 -2.5692 0.44513 0.13694 0.019406 -0.038204 101.24 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.02285 0.54327 -0.49514 0.22356 -0.0030663 -0.006791 -0.0078255 0.0034049 9.9454 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.10382 2.5101 0.66236 -2.4212 0.4117 0.11263 0.016871 -0.036261 93.149 0 0
38
+ 15 0.45241 -0.21289 0.4455 -0.227 0.02169 0.52126 -0.4681 0.22932 -0.0062935 -0.012847 -0.0074515 0.0034002 7.9359 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.10089 2.4289 0.56702 -2.3618 0.43558 0.10457 0.015748 -0.035455 80.874 0 0
40
+ 16 0.4455 -0.227 0.43815 -0.24088 0.02123 0.51283 -0.45322 0.23997 -0.0055872 -0.010552 -0.0072066 0.0036035 7.0125 0 0
41
+ 144 -0.10907 0.48796 -0.093691 0.49114 0.09265 2.2344 0.45311 -2.188 0.41792 0.086546 0.013681 -0.033008 76.104 0 0
42
+ 17 0.43815 -0.24088 0.43037 -0.25452 0.02074 0.49553 -0.43044 0.24552 -0.0050913 -0.0089259 -0.006841 0.0037162 13.572 0 0
43
+ 145 -0.093691 0.49114 -0.078217 0.49384 0.08504 2.0424 0.35115 -2.012 0.41442 0.072328 0.012025 -0.030467 71.416 0 0
44
+ 18 0.43037 -0.25452 0.42216 -0.26791 0.02079 0.50427 -0.42996 0.26348 -0.0019885 -0.0032449 -0.0067848 0.0040876 8.3616 0 0
45
+ 146 -0.078217 0.49384 -0.062667 0.49606 0.08175 1.9536 0.27527 -1.9341 0.40327 0.057394 0.010658 -0.029479 62.615 0 0
46
+ 19 0.42216 -0.26791 0.41354 -0.28104 0.01987 0.47082 -0.39351 0.25849 0.0094725 0.014421 -0.0060323 0.0042867 8.539 0 0
47
+ 147 -0.062667 0.49606 -0.047054 0.49778 0.07564 1.8122 0.19886 -1.8013 0.38801 0.042837 0.0092182 -0.02762 62.502 0 0
48
+ 20 0.41354 -0.28104 0.40451 -0.29389 0.01936 0.46135 -0.37745 0.26528 0.0029769 0.0042357 -0.005882 0.0042333 9.8039 0 0
49
+ 148 -0.047054 0.49778 -0.031395 0.49901 0.06882 1.6574 0.13004 -1.6523 0.37994 0.029902 0.0080104 -0.025483 61.207 0 0
50
+ 21 0.40451 -0.29389 0.39508 -0.30645 0.01753 0.41986 -0.33576 0.25209 0.014441 0.019234 -0.005047 0.0042618 8.3665 0 0
51
+ 149 -0.031395 0.49901 -0.015705 0.49975 0.06567 1.5756 0.074219 -1.5738 0.3534 0.016666 0.0067168 -0.024459 54.051 0 0
52
+ 22 0.39508 -0.30645 0.38526 -0.31871 0.01767 0.41627 -0.32487 0.26027 0.018125 0.022624 -0.0048181 0.0044435 7.3601 0 0
53
+ 150 -0.015705 0.49975 0 0.5 0.0607 1.4357 0.022552 -1.4356 0.35167 0.0055245 0.0058781 -0.022462 55.377 0 0
54
+ 23 0.38526 -0.31871 0.37506 -0.33066 0.01654 0.38089 -0.28963 0.24737 0.022382 0.026206 -0.0041978 0.0042971 8.6252 0 0
55
+ 151 0 0.5 0.015705 0.49975 0.05665 1.35 -0.021205 -1.3498 0.33022 -0.0051875 0.0048538 -0.021283 43.625 0 0
56
+ 24 0.37506 -0.33066 0.36448 -0.34227 0.01547 0.35913 -0.26563 0.2417 0.024242 0.026642 -0.0037915 0.004215 4.2386 0 0
57
+ 152 0.015705 0.49975 0.031395 0.49901 0.05368 1.2754 -0.06008 -1.274 0.3288 -0.015506 0.0042209 -0.020255 47.433 0 0
58
+ 25 0.36448 -0.34227 0.35355 -0.35355 0.01476 0.34377 -0.24687 0.23923 0.029972 0.030929 -0.0034069 0.0042435 3.5318 0 0
59
+ 153 0.031395 0.49901 0.047054 0.49778 0.04812 1.1476 -0.090042 -1.1441 0.29851 -0.023493 0.0032744 -0.01834 39.565 0 0
60
+ 26 0.35355 -0.35355 0.34227 -0.36448 0.01351 0.3111 -0.2165 0.22341 0.041123 0.039851 -0.0027547 0.0041351 6.4885 0 0
61
+ 154 0.047054 0.49778 0.062667 0.49606 0.04503 1.0601 -0.11633 -1.0537 0.30092 -0.033222 0.0028994 -0.017073 32.624 0 0
62
+ 27 0.34227 -0.36448 0.33066 -0.37506 0.01354 0.30815 -0.20739 0.22791 0.049705 0.045228 -0.0024767 0.0042903 5.6046 0 0
63
+ 155 0.062667 0.49606 0.078217 0.49384 0.04175 0.98631 -0.13897 -0.97647 0.27552 -0.039212 0.0021448 -0.015954 32.174 0 0
64
+ 28 0.33066 -0.37506 0.31871 -0.38526 0.01319 0.30192 -0.19608 0.22958 0.056176 0.047978 -0.0021976 0.0043598 5.9331 0 0
65
+ 156 0.078217 0.49384 0.093691 0.49114 0.03811 0.88175 -0.1516 -0.86862 0.27323 -0.047687 0.0019105 -0.014393 36.397 0 0
66
+ 29 0.31871 -0.38526 0.30645 -0.39508 0.01346 0.30248 -0.18913 0.23607 0.070196 0.056237 -0.0018681 0.0045913 6.4033 0 0
67
+ 157 0.093691 0.49114 0.10907 0.48796 0.03544 0.82879 -0.16807 -0.81157 0.2441 -0.050551 0.0011943 -0.013542 26.611 0 0
68
+ 30 0.30645 -0.39508 0.29389 -0.40451 0.01321 0.2999 -0.18006 0.23982 0.078798 0.059163 -0.0015906 0.0046963 9.7299 0 0
69
+ 158 0.10907 0.48796 0.12434 0.48429 0.03283 0.76915 -0.17956 -0.7479 0.2385 -0.057258 0.00092584 -0.012647 28.981 0 0
70
+ 31 0.29389 -0.40451 0.28104 -0.41354 0.01278 0.28848 -0.16588 0.23602 0.079688 0.056006 -0.0013538 0.0045869 8.7948 0 0
71
+ 159 0.12434 0.48429 0.1395 0.48015 0.03022 0.70746 -0.18668 -0.68239 0.21768 -0.05955 0.00048691 -0.011654 24.433 0 0
72
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