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  1. .gitattributes +5 -0
  2. CylinderKnMa/Kn0p22/simulation0413_Kn0p22Ma3p2/output/grid.300000.dat +3 -0
  3. CylinderKnMa/Kn0p22/simulation0414_Kn0p22Ma3p3/output/grid.300000.dat +3 -0
  4. CylinderKnMa/Kn0p22/simulation0419_Kn0p22Ma3p8/output/grid.300000.dat +3 -0
  5. CylinderKnMa/Kn0p22/simulation0420_Kn0p22Ma3p9/output/grid.300000.dat +3 -0
  6. CylinderKnMa/Kn0p22/simulation0421_Kn0p22Ma4p0/output/grid.300000.dat +3 -0
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  28. CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/grid/Grid_3_300000.vtu +0 -0
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  30. CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/log.sparta +319 -0
  31. CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/mir.txt +3 -0
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  33. CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/output/surf.300000.dat +209 -0
  34. CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/runmpirun128.sh +18 -0
  35. CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/runmpirun64.sh +18 -0
  36. CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/slurm-28428774.out +205 -0
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AQAAAACAAABABgAArgUAAA==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AQAAAACAAABABgAA+gUAAA==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AQAAAACAAABABgAAEgYAAA==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AQAAAACAAABABgAAOgYAAA==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AQAAAACAAABABgAA6gMAAA==eJwtVHtQ1FUUJitjsjFyGDMqhXCMpnDf/lhh9QPF5TGau4sMEWwMrYGPkocIgkM8xXVZEZbdphxrELFUJMYaY7CsILMAM0dHpprGAYdxGM110jI0zPvru/efM/fcc75zznfv/UJCxIpU8Hy2K/5yiwmjnUWWx0fjcPlV73vv6Jeg9Y8dy03LluJA8olb0xkm3K3e+OXWz8xomvvLT3cMBqwVYXMGjUgZqwzvaTJAJHcWfaXBhdX5YVnPGPCs5veFMzu0GPwrJqdlxmK8pa5DGpxJV9yJeVo8LWAcK3S4PX2xYnKRDlvm1H8zNBaL8B7rWOXFWPy47dRHEUEttovD0Os6PJI5O/a4RS/xTbj58ffpymEj+3IouCHadUbEQ0TtD75owZWufd9FhiXCs/nqvcO1STgktr36JLQMiIaCVuanpkE0M/FzXQrrt6Yjy/z5D9sWr0X0b1PVG412JInjF2Y5OGfQgeu2vvmNnnU4qNK1bx3UsS1DORDea7Z5uVggTN9sJ1R6Q27mce5T+eRh3IWzI2JlFDBvoABV6sDjG6DCW1/bRP+Bt/HB+2JNbuH5n8UwqKu0mPkJpYzr30rez5dBLTvfW8G89RV4KUdMGl7JuiVVvN/6aqj0hi97F8Vq4j81UMNiRmo533Ad6zzZwDprGoiX2sg+0nbS9jSRB9Mu5n3rJr7VQ7xFHtYZ97LOJS/5urWHfDj3ss7VveTJ3sp6ldJmtbHuYz7uh9oY/18b4/U+4vT56J/y0b+5Xfbvp51sp98YIJ45wH2+n7jH5f6gtCkybn+A5xUB4pyR59nyfFSeH/Fzf07a07LuhJ/99cp9Vzvj78t5bst+A7L/aDnPKulfKOd9WVqv5CUg7SXJ32rJ38oW3n+nl+/7aDP5j2nG3+L6B77YzXvpd/PeZu1i3MROxp2QNqKR8YMNfI9H6/m+TtbxX+6uZdySGuJE1/DeP63mO7u7g3MsreI7+XU7+ywvZ/2MMuInl8k+Stl/XAnzjhRJPSmCXf1QbvkPojZx7n8LOeexQvpt69nnlIv/L/JNxjXksV63k+8v7A3WO/k6+3k4G+fuOK50OTLxYVAIQYEdutDu57JH7Iy7ZsPpyN6SwigbdaMkDb55QoFy0yCiXPFfW+HsT31ixvBKDHcIgTybyLx7SVgj5MmcYYFQIQGcgMz/BclMfJcZUQK29ZjC/xmqZ/8dRuqwRku8aS15vqHjHAla6phN6mCuhrq5Sivn00GVr47GWNxX5fQpHXl4Rcd+l+ul/hmpp81G6qPWxPnLTeT1UQUqTPJcBZ8IeXQ/pMg5FfJxXsHMWv8KT3ccHgAEorYrAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
37
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38
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CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/Grid.pvd ADDED
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+ <?xml version="1.0"?>
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+ <VTKFile type="Collection" version="0.1"
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+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
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+ <DataSet timestep="300000" group="" part="0"
7
+ file="Grid/Grid_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/Lambda.pvd ADDED
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+ <?xml version="1.0"?>
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+ <VTKFile type="Collection" version="0.1"
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+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <Collection>
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+ <DataSet timestep="300000" group="" part="0"
7
+ file="Lambda/Lambda_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/Lambda/Lambda_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/Lambda/Lambda_1_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/Lambda/Lambda_2_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/Lambda/Lambda_300000.pvtu ADDED
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+ <?xml version="1.0"?>
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+ <VTKFile type="PUnstructuredGrid" version="0.1"
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+ byte_order="LittleEndian"
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+ compressor="vtkZLibDataCompressor">
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+ <PUnstructuredGrid GhostLevel="0">
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+ <PDataArray type="Float64" Name="id"/>
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+ <PDataArray type="Float64" Name="xc"/>
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+ <PDataArray type="Float64" Name="yc"/>
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+ <PDataArray type="Float64" Name="c_6[2]"/>
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+ </PCellData>
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+ <PPoints>
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+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
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+ </PPoints>
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+ <Piece Source="Lambda_0_300000.vtu"/>
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+ <Piece Source="Lambda_1_300000.vtu"/>
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+ <Piece Source="Lambda_2_300000.vtu"/>
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+ <Piece Source="Lambda_3_300000.vtu"/>
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+ </PUnstructuredGrid>
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+ </VTKFile>
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/Lambda/Lambda_3_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/Surf.pvd ADDED
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+ <?xml version="1.0"?>
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+ <VTKFile type="Collection" version="0.1"
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+ compressor="vtkZLibDataCompressor">
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+ <Collection>
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+ <DataSet timestep="300000" group="" part="0"
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+ file="Surf/Surf_300000.vtu"/>
8
+ </Collection>
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+ </VTKFile>
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/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 0.22
13
+ variable Ma equal 4.300000000000001
14
+ variable To equal 273.0
15
+ variable Tb equal 273.0
16
+ variable theta equal 0.0
17
+ variable mfp equal ${Kn}*${L}
18
+ variable cpmfp equal 4
19
+ variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
20
+ variable sos equal sqrt(${gamma}*${R}*${To})
21
+ variable vo equal ${Ma}*${sos}
22
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
23
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
24
+ variable ppc equal 30
25
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
26
+ variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
27
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
28
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
29
+ variable nave equal 10000
30
+ variable noutput equal 300000
31
+ clear
32
+ shell mkdir output
33
+ shell mkdir grid
34
+ shell mkdir surf
35
+ seed 7
36
+ dimension 2
37
+ global nrho ${nden}
38
+ global fnum ${Fnum}
39
+ timestep ${tstep}
40
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
41
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
42
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
43
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
44
+ boundary o o p
45
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
46
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
47
+ balance_grid rcb cell
48
+ species gas.species Ar
49
+ mixture air Ar frac 1.0
50
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
51
+ collide vss air gas.vhs
52
+ collide_modify vremax 100 yes remain no nearcp yes 10
53
+ read_surf cylinder.surf
54
+ surf_collide 1 diffuse 273.0 1.0
55
+ surf_modify all collide 1
56
+ fix in emit/face air xlo ylo yhi
57
+ balance_grid rcb cell
58
+ create_particles air n 0
59
+ stats 10000
60
+ stats_style step cpu np nattempt ncoll nscoll npave nscollave
61
+ run 200000
62
+ compute 1 grid all air n nrho massrho u v w
63
+ compute 2 grid all air trot
64
+ compute 3 tvib/grid all air
65
+ compute 4 thermal/grid all air press temp
66
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
67
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
68
+ dump_modify 1 format float %12.5g
69
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
70
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
71
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
72
+ dump_modify 2 format float %12.5g
73
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
74
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
75
+ dump_modify 3 format float %12.5g
76
+ run 100000
77
+ write_grid grid/final-grid.dat
78
+ write_surf surf/geom.surf
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/cylinder.surf ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ surf file from Pointwise
2
+
3
+ 200 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
+ 1 0.5 0.0
9
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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>
24
+ <Piece Source="Grid_0_300000.vtu"/>
25
+ <Piece Source="Grid_1_300000.vtu"/>
26
+ <Piece Source="Grid_2_300000.vtu"/>
27
+ <Piece Source="Grid_3_300000.vtu"/>
28
+ </PUnstructuredGrid>
29
+ </VTKFile>
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/grid/Grid_3_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/grid/final-grid.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/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 0.22
17
+ variable Ma equal 4.300000000000001
18
+ variable To equal 273.0
19
+ variable Tb equal 273.0
20
+ variable theta equal 0.0
21
+ variable mfp equal ${Kn}*${L}
22
+ variable mfp equal 0.22*${L}
23
+ variable mfp equal 0.22*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${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}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.22/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.22/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.22/4*0.22)
32
+ variable sos equal sqrt(${gamma}*${R}*${To})
33
+ variable sos equal sqrt(1.666666667*${R}*${To})
34
+ variable sos equal sqrt(1.666666667*208.242684766214*${To})
35
+ variable sos equal sqrt(1.666666667*208.242684766214*273)
36
+ variable vo equal ${Ma}*${sos}
37
+ variable vo equal 4.3*${sos}
38
+ variable vo equal 4.3*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 1323.60692622633*cos(${theta}*2*PI/360)
41
+ variable vx equal 1323.60692622633*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 1323.60692622633*sin(${theta}*2*PI/360)
44
+ variable vy equal 1323.60692622633*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
47
+ variable xncells equal (6-${xmin})/${mfp}*${cpmfp}
48
+ variable xncells equal (6--5)/${mfp}*${cpmfp}
49
+ variable xncells equal (6--5)/0.22*${cpmfp}
50
+ variable xncells equal (6--5)/0.22*4
51
+ variable yncells equal (${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)/0.22*${cpmfp}
55
+ variable yncells equal (5--5)/0.22*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 1.06973855620799e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 1.06973855620799e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 1.06973855620799e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 1.06973855620799e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 1.06973855620799e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 1.06973855620799e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 1.06973855620799e+20*(6--5)*(5--5)/30/200/${yncells}
64
+ variable Fnum equal 1.06973855620799e+20*(6--5)*(5--5)/30/200/181.818181818182
65
+ variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
66
+ variable tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
67
+ variable tstep equal (--5+6)/${vx}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/1323.60692622633/${xncells}/10/4
69
+ variable tstep equal (--5+6)/1323.60692622633/200/10/4
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 1.06973855620799e+20
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 1.03882804838457e-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 200 ${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 200 181.818181818182 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 157868 child grid cells
100
+ CPU time = 0.17089 secs
101
+ create/ghost percent = 0.781204 99.2188
102
+ balance_grid rcb cell
103
+ Balance grid migrated 157571 cells
104
+ CPU time = 0.136313 secs
105
+ reassign/sort/migrate/ghost percent = 40.7384 0.0413013 7.15587 52.0645
106
+ species gas.species Ar
107
+ mixture air Ar frac 1.0
108
+ mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
109
+ mixture air Ar vstream 1323.60692622633 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 1323.60692622633 0 0.0 temp ${To}
111
+ mixture air Ar vstream 1323.60692622633 0 0.0 temp 273
112
+ collide vss air gas.vhs
113
+ collide_modify vremax 100 yes remain no nearcp yes 10
114
+ read_surf cylinder.surf
115
+ 200 lines
116
+ -0.5 0.5 xlo xhi
117
+ -0.5 0.5 ylo yhi
118
+ 0 0 zlo zhi
119
+ 0.0157073 min line length
120
+ 582 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 141042 16244 582 = cells outside/inside/overlapping surfs
122
+ 582 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.141862 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 13.435 16.0457 1.91155 17.9001 50.7077 7.41386 0.11289
126
+ surf2grid time = 0.0253934 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 18.5735 22.075 7.44597 1.63471 10.6568 6.46446
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 2126 cells
133
+ CPU time = 0.0822704 secs
134
+ reassign/sort/migrate/ghost percent = 3.54988 0.0308252 10.4608 85.9585
135
+ create_particles air n 0
136
+ WARNING: Created unexpected # of particles: 1083120 versus 1083121 (../create_particles.cpp:346)
137
+ Created 1083120 particles
138
+ CPU time = 0.0880223 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) = 2.12256 0 5.0625
144
+ grid (ave,min,max) = 6.23059 1.51379 10.8888
145
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
146
+ total (ave,min,max) = 8.37375 4.15939 14.2844
147
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
148
+ 0 0 1083120 0 0 0 0 0
149
+ 10000 28.903228 1172280 31216 26731 22 1110472.1 22.0321
150
+ 20000 76.893825 1198969 32303 27764 20 1150760.1 22.27485
151
+ 30000 124.97265 1202196 32399 27884 18 1167514.1 22.402767
152
+ 40000 173.00256 1200855 32447 27978 18 1175960.9 22.42125
153
+ 50000 222.87798 1201928 32424 28037 19 1181088.1 22.45148
154
+ 60000 270.86169 1200871 32298 27870 28 1184527.7 22.46965
155
+ 70000 319.38731 1202347 32365 27946 27 1187034.6 22.481371
156
+ 80000 367.81332 1200467 32099 27736 30 1188834.8 22.478012
157
+ 90000 415.67612 1201144 32148 27684 26 1190185.1 22.494256
158
+ 100000 463.93447 1199806 32364 27834 28 1191259 22.50596
159
+ 110000 512.64214 1201650 32627 28218 19 1192159.5 22.513064
160
+ 120000 560.84685 1200805 32471 28082 25 1192882.4 22.508642
161
+ 130000 609.14123 1200638 32483 28057 22 1193513.7 22.517077
162
+ 140000 656.94929 1201021 32209 27763 26 1194020.7 22.520457
163
+ 150000 704.64222 1201302 32421 27874 22 1194523.1 22.520967
164
+ 160000 753.4198 1202346 32365 27822 27 1194919 22.522225
165
+ 170000 801.50322 1200885 32332 27903 29 1195316.1 22.524365
166
+ 180000 849.13844 1201444 32354 27864 19 1195663.3 22.528039
167
+ 190000 897.6597 1200692 32222 27823 17 1195941.7 22.531853
168
+ 200000 945.79895 1202699 32458 27995 21 1196242.7 22.533195
169
+ Loop time of 945.801 on 128 procs for 200000 steps with 1202699 particles
170
+
171
+ MPI task timing breakdown:
172
+ Section | min time | avg time | max time |%varavg| %total
173
+ ---------------------------------------------------------------
174
+ Move | 0.023565 | 31.228 | 208.98 | 743.2 | 3.30
175
+ Coll | 0.78163 | 42.191 | 473.42 |1097.2 | 4.46
176
+ Sort | 0.27014 | 9.8994 | 108.68 | 579.5 | 1.05
177
+ Comm | 94.305 | 132.75 | 147.26 | 88.7 | 14.04
178
+ Modify | 0.021696 | 0.27442 | 5.32 | 144.1 | 0.03
179
+ Output | 0.0080152 | 0.053333 | 0.057764 | 3.3 | 0.01
180
+ Other | | 729.4 | | | 77.12
181
+
182
+ Particle moves = 239248549240 (239B)
183
+ Cells touched = 250182857679 (250B)
184
+ Particle comms = 317905676 (318M)
185
+ Boundary collides = 0 (0K)
186
+ Boundary exits = 31466018 (31.5M)
187
+ SurfColl checks = 228107092 (228M)
188
+ SurfColl occurs = 4506639 (4.51M)
189
+ Surf reactions = 0 (0K)
190
+ Collide attempts = 7467883983 (7.47B)
191
+ Collide occurs = 5731765660 (5.73B)
192
+ Reactions = 0 (0K)
193
+ Particles stuck = 0
194
+ Axisymm bad moves = 0
195
+
196
+ Particle-moves/CPUsec/proc: 1.97624e+06
197
+ Particle-moves/step: 1.19624e+06
198
+ Cell-touches/particle/step: 1.0457
199
+ Particle comm iterations/step: 1
200
+ Particle fraction communicated: 0.00132877
201
+ Particle fraction colliding with boundary: 0
202
+ Particle fraction exiting boundary: 0.00013152
203
+ Surface-checks/particle/step: 0.000953431
204
+ Surface-collisions/particle/step: 1.88366e-05
205
+ Surf-reactions/particle/step: 0
206
+ Collision-attempts/particle/step: 0.0312139
207
+ Collisions/particle/step: 0.0239574
208
+ Reactions/particle/step: 0
209
+
210
+ Particles: 9396.09 ave 63867 max 0 min
211
+ Histogram: 84 15 5 10 4 6 0 0 2 2
212
+ Cells: 1233.34 ave 1234 max 1232 min
213
+ Histogram: 1 0 0 0 0 82 0 0 0 45
214
+ GhostCell: 31723.7 ave 58233 max 1742 min
215
+ Histogram: 22 8 12 10 17 3 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) = 2.21484 0 6.75
246
+ grid (ave,min,max) = 6.23059 1.51379 10.8888
247
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
248
+ total (ave,min,max) = 8.88032 4.57364 14.699
249
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
250
+ 200000 0 1202699 32458 27995 0 0 0
251
+ 210000 77.492895 1201877 32449 28022 14 1201823.4 22.5825
252
+ 220000 156.32441 1200842 32333 27948 20 1201874.9 22.6463
253
+ 230000 233.72211 1199041 32304 27926 24 1201391.3 22.6223
254
+ 240000 310.80253 1201683 32299 27713 27 1201144.1 22.63345
255
+ 250000 388.40966 1201295 32540 28097 29 1201218.7 22.61246
256
+ 260000 465.81037 1201371 32595 28065 19 1201214.4 22.59895
257
+ 270000 543.21758 1200023 32451 27918 32 1201276.2 22.591914
258
+ 280000 620.20916 1199807 32369 28001 25 1201206.1 22.577963
259
+ 290000 697.78514 1202177 32316 27812 22 1201137.6 22.574033
260
+ 300000 775.55549 1201631 32362 28007 27 1201227.5 22.58078
261
+ Loop time of 775.556 on 128 procs for 100000 steps with 1201631 particles
262
+
263
+ MPI task timing breakdown:
264
+ Section | min time | avg time | max time |%varavg| %total
265
+ ---------------------------------------------------------------
266
+ Move | 0.012518 | 15.821 | 100.26 | 515.7 | 2.04
267
+ Coll | 0.39351 | 22.374 | 254.84 | 820.1 | 2.88
268
+ Sort | 0.16686 | 5.2541 | 55.774 | 408.4 | 0.68
269
+ Comm | 54.463 | 74.519 | 82.663 | 64.9 | 9.61
270
+ Modify | 5.5973 | 43.143 | 269.11 | 808.7 | 5.56
271
+ Output | 0.062944 | 0.064787 | 0.06972 | 0.6 | 0.01
272
+ Other | | 614.4 | | | 79.22
273
+
274
+ Particle moves = 120122750139 (120B)
275
+ Cells touched = 125605500763 (126B)
276
+ Particle comms = 159354077 (159M)
277
+ Boundary collides = 0 (0K)
278
+ Boundary exits = 15793035 (15.8M)
279
+ SurfColl checks = 114350525 (114M)
280
+ SurfColl occurs = 2258078 (2.26M)
281
+ Surf reactions = 0 (0K)
282
+ Collide attempts = 3776377376 (3.78B)
283
+ Collide occurs = 2897595804 (2.9B)
284
+ Reactions = 0 (0K)
285
+ Particles stuck = 0
286
+ Axisymm bad moves = 0
287
+
288
+ Particle-moves/CPUsec/proc: 1.21005e+06
289
+ Particle-moves/step: 1.20123e+06
290
+ Cell-touches/particle/step: 1.04564
291
+ Particle comm iterations/step: 1
292
+ Particle fraction communicated: 0.00132659
293
+ Particle fraction colliding with boundary: 0
294
+ Particle fraction exiting boundary: 0.000131474
295
+ Surface-checks/particle/step: 0.000951947
296
+ Surface-collisions/particle/step: 1.87981e-05
297
+ Surf-reactions/particle/step: 0
298
+ Collision-attempts/particle/step: 0.0314377
299
+ Collisions/particle/step: 0.024122
300
+ Reactions/particle/step: 0
301
+
302
+ Particles: 9387.74 ave 63264 max 0 min
303
+ Histogram: 84 14 6 8 6 6 0 0 2 2
304
+ Cells: 1233.34 ave 1234 max 1232 min
305
+ Histogram: 1 0 0 0 0 82 0 0 0 45
306
+ GhostCell: 31723.7 ave 58233 max 1742 min
307
+ Histogram: 22 8 12 10 17 3 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 = 157868
316
+ CPU time = 0.0243417 secs
317
+ write_surf surf/geom.surf
318
+ surf elements = 200
319
+ CPU time = 0.00157946 secs
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/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/Kn0p22/simulation0424_Kn0p22Ma4p3/output/lambdakn.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/output/surf.300000.dat ADDED
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1
+ ITEM: TIMESTEP
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+ ITEM: BOX BOUNDS oo oo pp
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CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/runmpirun128.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 2
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 128 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/runmpirun64.sh ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -J Cylinder——Kn
3
+ #SBATCH -p wzhcnormal
4
+ #SBATCH -N 1
5
+ #SBATCH --ntasks-per-node=64
6
+
7
+
8
+ module purge
9
+ module load compiler/devtoolset/7.3.1
10
+ module load mpi/hpcx/2.11.0/gcc-7.3.1
11
+ export UCX_WARN_UNUSED_ENV_VARS=n
12
+ /public/software/mpi/hpcx/v2.11.0/gcc-7.3.1/bin/mpirun -n 64 ../../../sep2024-sparta/src/spa_mpi <config.txt
13
+
14
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Grid -r ./output/grid.*.dat
15
+
16
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/grid2paraview.py mir.txt Lambda -r ./output/lambdakn.*.dat
17
+
18
+ /work/home/ackp4pog0w3/WANGXU/ParaView-5.11.1-MPI-Linux-Python3.9-x86_64/bin/pvpython ../../../sep2024-sparta/tools/paraview/surf2paraview.py ./surf/geom.surf Surf -r ./output/surf.*.dat
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/slurm-28428774.out ADDED
@@ -0,0 +1,205 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 157868 child grid cells
6
+ CPU time = 0.17089 secs
7
+ create/ghost percent = 0.781204 99.2188
8
+ Balance grid migrated 157571 cells
9
+ CPU time = 0.136313 secs
10
+ reassign/sort/migrate/ghost percent = 40.7384 0.0413013 7.15587 52.0645
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
+ 582 0 = cells overlapping surfs, overlap cells with unmarked corner pts
18
+ 141042 16244 582 = cells outside/inside/overlapping surfs
19
+ 582 = surf cells with 1,2,etc splits
20
+ 109.214731023047 109.214731023047 = cell-wise and global flow volume
21
+ CPU time = 0.141862 secs
22
+ read/check/sort/surf2grid/ghost/inout/particle percent = 13.435 16.0457 1.91155 17.9001 50.7077 7.41386 0.11289
23
+ surf2grid time = 0.0253934 secs
24
+ map/comm1/comm2/comm3/comm4/split percent = 18.5735 22.075 7.44597 1.63471 10.6568 6.46446
25
+ Balance grid migrated 2126 cells
26
+ CPU time = 0.0822704 secs
27
+ reassign/sort/migrate/ghost percent = 3.54988 0.0308252 10.4608 85.9585
28
+ Creating particles ...
29
+ WARNING: Created unexpected # of particles: 1083120 versus 1083121 (../create_particles.cpp:346)
30
+ Created 1083120 particles
31
+ CPU time = 0.0880223 secs
32
+ Memory usage per proc in Mbytes:
33
+ particles (ave,min,max) = 2.12256 0 5.0625
34
+ grid (ave,min,max) = 6.23059 1.51379 10.8888
35
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
36
+ total (ave,min,max) = 8.37375 4.15939 14.2844
37
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
38
+ 0 0 1083120 0 0 0 0 0
39
+ 10000 28.903228 1172280 31216 26731 22 1110472.1 22.0321
40
+ 20000 76.893825 1198969 32303 27764 20 1150760.1 22.27485
41
+ 30000 124.97265 1202196 32399 27884 18 1167514.1 22.402767
42
+ 40000 173.00256 1200855 32447 27978 18 1175960.9 22.42125
43
+ 50000 222.87798 1201928 32424 28037 19 1181088.1 22.45148
44
+ 60000 270.86169 1200871 32298 27870 28 1184527.7 22.46965
45
+ 70000 319.38731 1202347 32365 27946 27 1187034.6 22.481371
46
+ 80000 367.81332 1200467 32099 27736 30 1188834.8 22.478012
47
+ 90000 415.67612 1201144 32148 27684 26 1190185.1 22.494256
48
+ 100000 463.93447 1199806 32364 27834 28 1191259 22.50596
49
+ 110000 512.64214 1201650 32627 28218 19 1192159.5 22.513064
50
+ 120000 560.84685 1200805 32471 28082 25 1192882.4 22.508642
51
+ 130000 609.14123 1200638 32483 28057 22 1193513.7 22.517077
52
+ 140000 656.94929 1201021 32209 27763 26 1194020.7 22.520457
53
+ 150000 704.64222 1201302 32421 27874 22 1194523.1 22.520967
54
+ 160000 753.4198 1202346 32365 27822 27 1194919 22.522225
55
+ 170000 801.50322 1200885 32332 27903 29 1195316.1 22.524365
56
+ 180000 849.13844 1201444 32354 27864 19 1195663.3 22.528039
57
+ 190000 897.6597 1200692 32222 27823 17 1195941.7 22.531853
58
+ 200000 945.79895 1202699 32458 27995 21 1196242.7 22.533195
59
+ Loop time of 945.801 on 128 procs for 200000 steps with 1202699 particles
60
+
61
+ MPI task timing breakdown:
62
+ Section | min time | avg time | max time |%varavg| %total
63
+ ---------------------------------------------------------------
64
+ Move | 0.023565 | 31.228 | 208.98 | 743.2 | 3.30
65
+ Coll | 0.78163 | 42.191 | 473.42 |1097.2 | 4.46
66
+ Sort | 0.27014 | 9.8994 | 108.68 | 579.5 | 1.05
67
+ Comm | 94.305 | 132.75 | 147.26 | 88.7 | 14.04
68
+ Modify | 0.021696 | 0.27442 | 5.32 | 144.1 | 0.03
69
+ Output | 0.0080152 | 0.053333 | 0.057764 | 3.3 | 0.01
70
+ Other | | 729.4 | | | 77.12
71
+
72
+ Particle moves = 239248549240 (239B)
73
+ Cells touched = 250182857679 (250B)
74
+ Particle comms = 317905676 (318M)
75
+ Boundary collides = 0 (0K)
76
+ Boundary exits = 31466018 (31.5M)
77
+ SurfColl checks = 228107092 (228M)
78
+ SurfColl occurs = 4506639 (4.51M)
79
+ Surf reactions = 0 (0K)
80
+ Collide attempts = 7467883983 (7.47B)
81
+ Collide occurs = 5731765660 (5.73B)
82
+ Gas reactions = 0 (0K)
83
+ Particles stuck = 0
84
+ Axisymm bad moves = 0
85
+
86
+ Particle-moves/CPUsec/proc: 1.97624e+06
87
+ Particle-moves/step: 1.19624e+06
88
+ Cell-touches/particle/step: 1.0457
89
+ Particle comm iterations/step: 1
90
+ Particle fraction communicated: 0.00132877
91
+ Particle fraction colliding with boundary: 0
92
+ Particle fraction exiting boundary: 0.00013152
93
+ Surface-checks/particle/step: 0.000953431
94
+ Surface-collisions/particle/step: 1.88366e-05
95
+ Surface-reactions/particle/step: 0
96
+ Collision-attempts/particle/step: 0.0312139
97
+ Collisions/particle/step: 0.0239574
98
+ Gas-reactions/particle/step: 0
99
+
100
+ Particles: 9396.09 ave 63867 max 0 min
101
+ Histogram: 84 15 5 10 4 6 0 0 2 2
102
+ Cells: 1233.34 ave 1234 max 1232 min
103
+ Histogram: 1 0 0 0 0 82 0 0 0 45
104
+ GhostCell: 31723.7 ave 58233 max 1742 min
105
+ Histogram: 22 8 12 10 17 3 6 4 16 30
106
+ EmptyCell: 0 ave 0 max 0 min
107
+ Histogram: 128 0 0 0 0 0 0 0 0 0
108
+ Surfs: 200 ave 200 max 200 min
109
+ Histogram: 128 0 0 0 0 0 0 0 0 0
110
+ GhostSurf: 0 ave 0 max 0 min
111
+ Histogram: 128 0 0 0 0 0 0 0 0 0
112
+ Memory usage per proc in Mbytes:
113
+ particles (ave,min,max) = 2.21484 0 6.75
114
+ grid (ave,min,max) = 6.23059 1.51379 10.8888
115
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
116
+ total (ave,min,max) = 8.88032 4.57364 14.699
117
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
118
+ 200000 0 1202699 32458 27995 0 0 0
119
+ 210000 77.492895 1201877 32449 28022 14 1201823.4 22.5825
120
+ 220000 156.32441 1200842 32333 27948 20 1201874.9 22.6463
121
+ 230000 233.72211 1199041 32304 27926 24 1201391.3 22.6223
122
+ 240000 310.80253 1201683 32299 27713 27 1201144.1 22.63345
123
+ 250000 388.40966 1201295 32540 28097 29 1201218.7 22.61246
124
+ 260000 465.81037 1201371 32595 28065 19 1201214.4 22.59895
125
+ 270000 543.21758 1200023 32451 27918 32 1201276.2 22.591914
126
+ 280000 620.20916 1199807 32369 28001 25 1201206.1 22.577963
127
+ 290000 697.78514 1202177 32316 27812 22 1201137.6 22.574033
128
+ 300000 775.55549 1201631 32362 28007 27 1201227.5 22.58078
129
+ Loop time of 775.556 on 128 procs for 100000 steps with 1201631 particles
130
+
131
+ MPI task timing breakdown:
132
+ Section | min time | avg time | max time |%varavg| %total
133
+ ---------------------------------------------------------------
134
+ Move | 0.012518 | 15.821 | 100.26 | 515.7 | 2.04
135
+ Coll | 0.39351 | 22.374 | 254.84 | 820.1 | 2.88
136
+ Sort | 0.16686 | 5.2541 | 55.774 | 408.4 | 0.68
137
+ Comm | 54.463 | 74.519 | 82.663 | 64.9 | 9.61
138
+ Modify | 5.5973 | 43.143 | 269.11 | 808.7 | 5.56
139
+ Output | 0.062944 | 0.064787 | 0.06972 | 0.6 | 0.01
140
+ Other | | 614.4 | | | 79.22
141
+
142
+ Particle moves = 120122750139 (120B)
143
+ Cells touched = 125605500763 (126B)
144
+ Particle comms = 159354077 (159M)
145
+ Boundary collides = 0 (0K)
146
+ Boundary exits = 15793035 (15.8M)
147
+ SurfColl checks = 114350525 (114M)
148
+ SurfColl occurs = 2258078 (2.26M)
149
+ Surf reactions = 0 (0K)
150
+ Collide attempts = 3776377376 (3.78B)
151
+ Collide occurs = 2897595804 (2.9B)
152
+ Gas reactions = 0 (0K)
153
+ Particles stuck = 0
154
+ Axisymm bad moves = 0
155
+
156
+ Particle-moves/CPUsec/proc: 1.21005e+06
157
+ Particle-moves/step: 1.20123e+06
158
+ Cell-touches/particle/step: 1.04564
159
+ Particle comm iterations/step: 1
160
+ Particle fraction communicated: 0.00132659
161
+ Particle fraction colliding with boundary: 0
162
+ Particle fraction exiting boundary: 0.000131474
163
+ Surface-checks/particle/step: 0.000951947
164
+ Surface-collisions/particle/step: 1.87981e-05
165
+ Surface-reactions/particle/step: 0
166
+ Collision-attempts/particle/step: 0.0314377
167
+ Collisions/particle/step: 0.024122
168
+ Gas-reactions/particle/step: 0
169
+
170
+ Particles: 9387.74 ave 63264 max 0 min
171
+ Histogram: 84 14 6 8 6 6 0 0 2 2
172
+ Cells: 1233.34 ave 1234 max 1232 min
173
+ Histogram: 1 0 0 0 0 82 0 0 0 45
174
+ GhostCell: 31723.7 ave 58233 max 1742 min
175
+ Histogram: 22 8 12 10 17 3 6 4 16 30
176
+ EmptyCell: 0 ave 0 max 0 min
177
+ Histogram: 128 0 0 0 0 0 0 0 0 0
178
+ Surfs: 200 ave 200 max 200 min
179
+ Histogram: 128 0 0 0 0 0 0 0 0 0
180
+ GhostSurf: 0 ave 0 max 0 min
181
+ Histogram: 128 0 0 0 0 0 0 0 0 0
182
+ Writing grid file ...
183
+ grid cells = 157868
184
+ CPU time = 0.0243417 secs
185
+ Writing surface file ...
186
+ surf elements = 200
187
+ CPU time = 0.00157946 secs
188
+ Processing 4 grid chunk(s).
189
+ Completed grid chunk number: 3
190
+ Completed grid chunk number: 2
191
+ Completed grid chunk number: 1
192
+ Completed grid chunk number: 0
193
+
194
+ Done in 0:00:14 (wall clock time)
195
+
196
+ Processing 4 grid chunk(s).
197
+ Completed grid chunk number: 3
198
+ Completed grid chunk number: 2
199
+ Completed grid chunk number: 1
200
+ Completed grid chunk number: 0
201
+
202
+ Done in 0:00:13 (wall clock time)
203
+
204
+ Processing SPARTA surface information.
205
+ Processing dump result file: ['./output/surf.300000.dat']
CylinderKnMa/Kn0p22/simulation0424_Kn0p22Ma4p3/surf/Surf_300000.vtu ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <PointData>
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+ <Points>
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+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="22600" />
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="23928" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="24832" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="25324" />
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+ </Cells>
33
+ </Piece>
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+ </UnstructuredGrid>
35
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AQAAAACAAABABgAA7AUAAA==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AQAAAACAAABABgAA7AUAAA==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AQAAAACAAABABgAA/wUAAA==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AQAAAACAAABABgAA/AUAAA==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AQAAAACAAABABgAAIQYAAA==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AQAAAACAAABABgAALwYAAA==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AQAAAACAAABABgAA5wMAAA==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eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
37
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38
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AQAAAACAAABABgAAMQYAAA==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AQAAAACAAABABgAALQYAAA==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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
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38
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