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AQAAAACAAABABgAAEgUAAA==eJwtVHtUzVkU/t17yRWVSSolaXqIpCmElPORohLdlyUTUV4LYRgmSY0xoeTRWEQy8ohpMWp6IWG88hwy8owVE1pqmHt7quu6c87v3PPPveuc/dv7+76992dTPemptlWKEeyUSDFPrRyc11OGfpnhjd1KpXBOa1Kc/VWK9Zt8ph7PkKLVUJP43kMK3/1D7ffUSDBOEvmzxX0JXuV+lX/hsgR/RC3N+SFXggvKvS472gR0rKEv7hLE7pvaL/O2gOFGF0M7vfdZflRSmSZggi7+7uwII5mx4XR5XKqRFMkaMj0/GMjrXrsLflJ8JnPfVn9d26knrLx5aCeZcejk709jO4iIM72N7LbvNsPSu4XUZhgWdLzRERGnuc6UR0vKWxhgLUlo0Bfo/tYRR4tX3rvyWsga8cM2UrG0Z2feonZCQdzsEdRFsqyS/E+ON5CgYTU575wEPD/VFZNwXYL8YcEDmuJkoMWKD/7XHQ8j4/rMPCfH6sVZH5IvmWNr2qyHlfEW/L2wDxi6Ihdr6OnXX5r7wn2NNEfuaIvYHvf6K3LskbHjTbOz0hHPgtbN/K3MCe3ZL3dvcR+EG0MCfrlT54Lqkui2czmuqPyeAn3shk1/3j4c0u7B9X/nieMHrg0q8vPCZ8oqMs4bG8ioORXpPljITqgvhsTsvNK21Q8i7Q8j8DGZBiSNgvZEVcToW/6436Gqzz8/BqK++wOgrs8/cA2BGFc3fXv28PEQ9WomcK3tTFnSewIqwnpLvewmwmuL7bN7HRN5vDaYx1uGgHWh2DsUG/cEb1tmNxm31l485LBzCuhXW2wLwjCNyjW2NBynBsyaP64wAr5y+u/NVJg/OboyqDESdw6H0FZNA02uqreIwvVBRasWp0dhbOnNtRetFHD0eelm9p3CFKdALqW/aq4StBknqq4qsYQJFaiCwM4uFY97qcLVNs+YndZqXn++mutVrOb3FWrevw4113mgBsdWBpk/8dKAyecZqMERVm6kBuK4WGi4bno19lKaDU1q3pcqtQmvmvNVqHEjYnT6BHs15/NIxedihYrnc1OBTdGJciXvS7gSX9ha6RQ8LlWByzRtuUzBdUqOAoMTYxWF10k2pyfrpmESLa9/HwlRVnmkSd8I3t/0cJ5/cxjEOU+Zwvn5T+b9GRwKRpu4hyCVCSefxPn0Cua6WUzE2YF08T8B27OXW28SwPNYjuf3iYFwoXSzEgJ4naoxmM8GwW408hxooxaO4jqMHcn1POqH/mxAVvkinD089oG41ineYO095ODFdfQfwvU94IEH7LnRDYOZAEmuOH92u5m23AVCVoo+QOuMiud04c844duHlfU2sx0QEb15zOOQ/tC1hkdvTrRFWT/9nY/pNpD1zHCOX24Nt2zjrpT1fUw6WqLs+Dq6ar0QbXfmgTBHDtE2qrrD2oZUvSiT4a+77EhMv0ZCs19PGGkg++iaps3qIiKOlR1kz4Kt8bNftJJlzEZKWgizw+mFOrKN2dE8LVn0qGGJV7uWON16S47VaYloX2t1pjwtJl9qJd7UXv7xbyfifNR8IocXlTSuLusimm+GFvSt1pMbFUwAA+H4vhBxXnyNJJWiuCcX0LSaMRYwIHmen6ZIwCXL3BFHSgUoww7+6HFFgFg/VoL3ZwplDb2lMBavby6KkoLjl8CMDca/EojhZlIMpTaUepP6/TLqzP4y1L1ihixFZu1iYcVGGRJzj7ieS5bhf8u31gI=AQAAAACAAABABgAAoAUAAA==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AQAAAACAAABABgAA4gUAAA==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AQAAAACAAABABgAAGgYAAA==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AQAAAACAAABABgAAJQYAAA==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CylinderKnMa/Kn0p08/simulation0075_Kn0p08Ma4p4/config.txt ADDED
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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 0.08
13
+ variable Ma equal 4.4
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/Kn0p08/simulation0075_Kn0p08Ma4p4/cylinder.surf ADDED
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