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  1. .gitattributes +1 -0
  2. CylinderKnMa/Kn0p10/simulation0106_Kn0p10Ma2p5/output/lambdakn.300000.dat +3 -0
  3. CylinderKnMa/Kn0p18/simulation0343_Kn0p18Ma6p2/Lambda/Lambda_3_300000.vtu +0 -0
  4. CylinderKnMa/Kn0p18/simulation0343_Kn0p18Ma6p2/Lambda/Lambda_4_300000.vtu +0 -0
  5. CylinderKnMa/Kn0p18/simulation0343_Kn0p18Ma6p2/Lambda/Lambda_5_300000.vtu +0 -0
  6. CylinderKnMa/Kn0p18/simulation0343_Kn0p18Ma6p2/Lambda/Lambda_6_300000.vtu +27 -0
  7. CylinderKnMa/Kn0p18/simulation0343_Kn0p18Ma6p2/Lambda/Lambda_7_300000.vtu +27 -0
  8. CylinderKnMa/Kn0p18/simulation0343_Kn0p18Ma6p2/Lambda/Lambda_8_300000.vtu +27 -0
  9. CylinderKnMa/Kn0p18/simulation0343_Kn0p18Ma6p2/output/surf.300000.dat +209 -0
  10. CylinderKnMa/Kn0p18/simulation0343_Kn0p18Ma6p2/surf/Surf_300000.vtu +38 -0
  11. CylinderKnMa/Kn0p18/simulation0343_Kn0p18Ma6p2/surf/geom.surf +610 -0
  12. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Grid.pvd +9 -0
  13. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Lambda.pvd +9 -0
  14. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Lambda/Lambda_0_300000.vtu +0 -0
  15. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Lambda/Lambda_1_300000.vtu +0 -0
  16. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Lambda/Lambda_2_300000.vtu +0 -0
  17. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Lambda/Lambda_300000.pvtu +26 -0
  18. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Lambda/Lambda_3_300000.vtu +0 -0
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  20. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Lambda/Lambda_5_300000.vtu +0 -0
  21. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Lambda/Lambda_6_300000.vtu +27 -0
  22. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Lambda/Lambda_7_300000.vtu +27 -0
  23. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Lambda/Lambda_8_300000.vtu +27 -0
  24. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Surf.pvd +9 -0
  25. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/config.txt +78 -0
  26. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/cylinder.surf +410 -0
  27. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/gas.species +14 -0
  28. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/gas.vhs +9 -0
  29. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/grid/Grid_0_300000.vtu +0 -0
  30. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/grid/Grid_1_300000.vtu +0 -0
  31. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/grid/Grid_2_300000.vtu +0 -0
  32. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/grid/Grid_300000.pvtu +34 -0
  33. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/grid/Grid_3_300000.vtu +0 -0
  34. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/grid/Grid_4_300000.vtu +0 -0
  35. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/grid/Grid_5_300000.vtu +0 -0
  36. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/grid/Grid_6_300000.vtu +0 -0
  37. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/grid/Grid_7_300000.vtu +0 -0
  38. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/grid/Grid_8_300000.vtu +35 -0
  39. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/grid/final-grid.dat +0 -0
  40. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/log.sparta +319 -0
  41. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/mir.txt +3 -0
  42. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/output/surf.300000.dat +209 -0
  43. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/runmpirun128.sh +18 -0
  44. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/runmpirun64.sh +18 -0
  45. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/slurm-28428638.out +215 -0
  46. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/surf/Surf_300000.vtu +38 -0
  47. CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/surf/geom.surf +610 -0
  48. CylinderKnMa/Kn0p18/simulation0345_Kn0p18Ma6p4/Grid.pvd +9 -0
  49. CylinderKnMa/Kn0p18/simulation0345_Kn0p18Ma6p4/Lambda.pvd +9 -0
  50. CylinderKnMa/Kn0p18/simulation0345_Kn0p18Ma6p4/Lambda/Lambda_0_300000.vtu +0 -0
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AQAAAACAAADARAAAPBUAAA==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AQAAAACAAADARAAAdAsAAA==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CylinderKnMa/Kn0p18/simulation0343_Kn0p18Ma6p2/Lambda/Lambda_7_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="2323" NumberOfCells="2200" >
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="33588" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="53488" />
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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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_AQAAAACAAADARAAAkgkAAA==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AQAAAACAAADARAAAbAMAAA==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eJztxb1KQgEAhmFwCKRBs0GhwRokjAYXMSrIIIoIXASHEAMdrKmwwaUarCUJ4oAOLeFiRIOUokQi/QydIaLFoSGCfoiEcquQli6g7xLeZ3nMucD2ZL89aDLzv42N39GVEDOrJ64fqltrzKy2dgrJyhEzq0+DmWfznpnVmdXp3HdXDzOLffVBW7efmdWPFmvWnWBm9aH/dixkMLM6sl6qxc+ZWT1wnFo0PplZffcTfin2OZhZvDfkyjdnmVk9k+rYWmlmVjuKjUvnATOrLz72x4ebzKzOuhPteUsvM4tHklNLyz5mVr+VPK+bMWZWnzy18uUdZlYveG/s5hkzq73R3auvd2ZW/wFCUY/NAQAAAACAAADARAAAKyUAAA==eJxlfHc8luHbfkOLFA2RNGS0015yJ6QUSSUqUVpaIomUbrL33nuPRJSMKBItUkmJtJfSshLpd/r+3uN7+bzvX9fnfp77ue7rOq9zHMd5nvezyHjWnM/neU65n+ENu3M8V65lNUzrLM8Ntu8nsdyS5zq/3rVKpLE05udnXQueWyGuG+R5gud0+61+foXGs9ffFJww57nJ35q27qXvU345Z808xXNdcVpuMTY8p2+x5numNc857DvyaT/Nr71e3FzUgeduu/wZvZ7nOa3NY/eOpfGU19X1D2lc/HL2oo+OPPdF+5e3sQ8b3Z07Juh58Vz+8ckyQiE8dz5mbURBMM8tf7Bg00tPngs4lhTZRvMe7H8uchWtX/pDs7GRFc/16D0KD6d5xzzJvVZpydbXqqSqf/Eo7ae2NtSD1p23UnlPIa3XzzLeu5Pul40wO7mD5pHXaXPStec569vLdKtITuPWFT6sOMNzj2VnJ72l+53rjv81ovW25cSN++fCc6oWxk9s6DpYZkbmD1d6rkfAqUm+PFejN/zgAlq31gZzyYOhPLdr64Xq9iieW7DX6SlH1ye2ejfN8Oe5W65bimIDeS62e2lbQyTPvdu9RqqUxrtL6htC6H7LO/7/ZOj+Py9mKLXS/eeyVvOl3jw3ZcrdcZdJTnXCi6ufOvPctdnqtjm03l1RVWMTSS6GOzdKJNC6Zi/vydIgOe4e9XhGtBvPVR0fqMR58Nzx125PFEiOnfEpCzponpTUfYfP0robrVe2VNLYFZ6u3BJA+9EYazPRj+dmlHeGa9N+Tc7yCUp0rrEDG1a60XO2nI10E3Rn+14YNfSNYgTPDf2++70T7WvKSw3JHPp8UWL6jCaS6zdhiSYhkucTKYXLL2meTcNCT4rQOt/OObDD3I72//XjLjO6z3JUrupjW56L1tSb5U333RHoHr+OPv8sdtxxP617j/O8z98Tec7fI8JxZTPPdb873+kkZcdt0gux0Gi35d55yr/4aWfFmfATGouaT3D7nCOrCr6YcZ81DI1/7Tbj3As//Hm7x4zz16lulvU042QuPFWaU2jGLdkxV/E9yfPIT4f8pY5Mjvtv6GsEkfwjfOY9+kDjqquKNo/pXD5t2rCsgNZx1lRqtngSnY9srNLodJ7ztNr2JolG29ToJWNTee5Mi6Tc+ASeU5uqGnUnnud+Xe6+sZXO1+lR5eUcGo/t+uDoSN/POfrCPCyN5ybujS8SonnvFNY9CSN56n9OyOhH8hxywqjRhZ4/8FZdsS+dZ2aIaONEOoclkReXfnDiuZCYmbnf6DwUftiVqtF9qbIHzG1oPKC4Y1MA/T7ybk7D2yCyx7//MRTOwlu0TZ6uX7Yp/blH9yWceqXjQPMOPzRMZY49s+v8/NUm+WQfrxfv1bSk8aXSbu402XnMHf0FnnRuR4863VhMcpMTP3FGn87LYWrzl329dl69eO0juh43RPFJOf1uZ9K9Ian0+UejrycOkz4p9c83eUZ6FqGV/eQ9jS0KPRWbY3hO1PPbZEuS54QjMZkjY3muwm7bvUiSd6FcwqLBvXYSf0viJslFZaayT2U0nYP/vUWFJD/rlSFjJtE1d7bgeC3ty+fU36XaNBYZya0aSPNK5E6IGkO/81lkq7iR/EnSpT0GdqRPQftT03/Sej7rfbc7QPYR39W43omun27LLm4gOdwrODdLlfYXOEs+ttWR2d2mCgnrkSR3N82To3aQ3Ncc2f/2FPkBx+hvv4zpd/VaO6bam/Gc6/ggbSFT+l3IU1HnIzyXaHs+fB59HlG3eVwgydFAunJEsj2bd/gFF26uHbO3H+rhrUNpFP4gqDGLztvMwKNhDvmBc8duni/xYfuF32g9xD/SJj0rGZFh+CeF9mMSVjK9iOcU4zM0pLt4rqOg65HvKDvup1WCUJezLSeVcWid+jIrLmTR8NN3b53gjs2q1Nn21oybJLnky2qyk09VBjtbDc24nY+G2K3P5bkPOklvRArZvFLR58wMaTwiVTK/voDnDsden/kij+fspBI2jMzkOT42Tk00g/zE9RPLTGn0yq77Gn+R59Jr1FfcuUT+SPezv10KswMR0WYJKxoXBwn9WErnpun1c5wJ+dP2ZhnpbpLz7/fyCr9p/6N0Rh2VJv/WYLf8/UM6x7OWN07eovNzv2MpoU/XD+NcdJeSXs87cv6OCul/2cZH2Qnkz/Z41cyLpPumVbV7bnFgfrN/ZW1WIJ1nv5G6GUF0zltWTPQaRvdFCyz++Ir077redK1/JNdO8SG/1C+QvcwpFq6ldc46+XxvFOnruq13ckvJfpvWbVTPJbu/Lpa2qYe+N/KeU99CelzcIK/eP47kp79uZjFdT3OsWZtE56W8QMn+IdnjVzeLMCN/9lxrpwL9Sgfm32+Nae/RPk32x79aYUPxTuKf0ttS0pPK1v5LlMluRbaPNJSjUe3H3gZr0qORjcJ600iPj312rlhIejmuWMJHnOR4IfSw80naz8+lXfnbyB6kd2yQvkTPHXLl5XNXks+2TOn4gTQ+WzvKYSbJX+pTbK4w7XujU6vsPrr/UJbhfi9ar3zFZrVkssf5SYNqVtG85nWeb2eRvy8J1YpN9WTnIBLhtUPelfkXxCOsA3HvZ7tNkS6N4y0iY0fT6N3VNU+H/EJr25Qx/WgfS58qqLyleXQXTIkYRHpvL6MeeI3O1eH53aSrYTRffdN5S1qHdOS9idm0/pUqS/fX0b4ul4YKjCF9ub3GZpwGyWvXK81RSSTP5aI5mq9Izj+udWbr0+/bEwa80KRz3CpbL5heSv7ggNrcHlE7LlmxQFRsrB2nNdGo44C2LXfyw8RRxR2nONl5OsuWXD3BVaevf2rQZMZd+1Jhl03nNSLBXXMm6Y+ouM8eWdLXlsLoYQPpOnu4WIs47VtyWUnz9V6//T/xBusp9+kYtJHiY8mb4x+2Ed5StRk8cTr5C7WOIbLyx3hukvlnrf2Evyq7Es59O077Erq2rtSCxU88573cIZNjNM50OB29keQ1WsT/+BTa/7pXh36b0Rj8Ji37uxvTM8QNMYdgR0mSp29LD6dFcsy69yP6GJ3/NJWtGxLJry5+5vZ1GY3PV431kye93pxnrbSL9GJ6/9qNCXTf2KFBtlJ9cIrYanFyffR5uZj9hACGi8SXSwaLkbwv+h4LNKNzLkiLmzM0nPln+PX+DpcPf6R5nbUeFF6isWGpeMxU8hNX2qzKjSm+zv3caB1CdmhcktPylT53E9hceYHipmry6uB7ZF/CO0yGnqV5Ygvyf9eTnR1uen3cPYrpc3z2tcHP4hguK932ICHFi8VZhYsDylUDmB56559ZtInkE6OU9/MFrfOg5YsdviHsvqkSlbJZAczvhE6YXfSV9H9rZ5TvUE9mn8mmb414es6+AXVrgklPv9mfStlJ8ejq4iiJEYFMfxGfgHtPD7hmdI/8k+k+16r5dF47oqdd76J1SyVJFwzv4y+f3hc5OzuK4U7Eu7V7TX6eoHnuW/VTUCF7+vCu6chRmi+uZKeyK+nLgzTHtYp0bsMOG391oPsdde9nXKF9tnyzvacTy+Ix/NeKAaNHzyV/d+KmhlFVBc+57L19qW24Haf2r8BVRNiOO7hrROF3cVvu9zBdd6Unp/7LBzQl/PXFCQ/MPj+5/TfpeUvpap2sw2T3ZXvmmppQvB0YZ/aL9F7A7a+gEul717tKp1jyewsOT5/cTHFw9xYd+RjS66aaHy77SI5Ra668fd3HrwEfwJ+UD9Iti6b9bJ8qn/c3mPmNha+cG1eGM9yKfW5/LnBiYzbhE8tx06ZnEf47tWTQJ4pbW7PObNiezHM5XNvlg+QnRjw9NNKG7pdbr6OUSvOc33UnOj+EzS+zeaNCBj1vv+1zzUDSi/mfHKqV6frvprmbv9E6nX208rJJP4e/PEBMhnBxjbDpPLKLjbdPSO/vYw8jNx8RsyZ9LZqYrDKAnsetWGHxJJjh7kdGw7Yvoflv+m7KTOzjfyceXjM4n/SkzWyqZI8rO3fg+VnF3akbyP6PJQ+9t8CN4RDgjZrYORmv6ZxGTvbcMp38VJT302k+hMvzukr2FZCfUvm9u+rseYaDMB/4Udy5F6ou9PklrcDvEq7s3OAXEY9rR/hYz6H9v3+hLnOD5JHlahZ/lPa5aLzg5+Wkv/3KFxz8FM1wNPDBki0eLUvovvHzJyaOimL+Qn7YY+WUCBYHXR+eEDJwZetAHMK++aYyt+t+TM65OZ139pBfKbO/ZNFKOGXIkaLAerqW3pJaNzCD4ZQ71tvrQmnd4mfC/MfReZYJb86N92f7gj+EfQPf/i33FOWukD75B/FaHbRPLl5CgXhMwdcpM4eFMf8FXCSz4cLHf6SHLy9MuCJF6zGdcMDVIZH5M/gjvZkyaf0DmL2Tck0eTqNnibX8VtILr5U2czb7M/+LOA69g77CD20Y9UPkMPnv3G7JkaK0n6o5DspKpFeitSL7ZfrgJ63AACMx0peND8QOj+7Fy90909ScWHyF/98p2at5xBdk9tq4xP5f/IBzE/y4t8We5Nk82DJ2VyDjB/CLj8Pc9y7s45/gd2E3wAM7DVJL/9DYU6mw/Ws4szvYK3jY6fxQSalefBaWotEvnp0v9Alxz2zMoWCecN264LU5N2kUXW8qc5L8gdmjprBz5AfHrji56ijh3bCNw88pprG4CP4BnKEl2DLxQBjbF87pe49V5nZan6xo9YILJI8nfl7mCrTO8EdZVR/9mF958FVAbSX5Pd2TMSGDvRn+BY97+G7I5mW997+pCCkMYrwIvKDOPsBrGo05f0/mHUhm8fRqs02NIa1/W8q57bp0ndqgOruS9P1GzYytfxOZ3LDuk0Kju2Vpndv3JV3uoef0jMzSbQ5j8Qd4ETgSPLky/eVPvwSGp8GLb3PPqiLCGN4Azj4gJ1616D7jAbAT8HGBfzvuePXG2auTAod4MXtGvMY1cDzyElf48UNH+zD9AZ8An5UPsDi/zY75s5L6ysg0D8Y/wBevKIULjaL55DwfLk8LY/kC8G6cK3gIcNC3svYEA5Lb5MTbIrleLC8DfFyvnve8xo3lZYArhs57/dqZ1hvlsvDVG9Kbt/Jlo26FMT0OMhxsrBrH5Ah8DXtuXtsWaUi/l32gvSSd1rVAeki9UhizU5wn4iqeB3m+SS8VqqDP35iojCwPZfkiDzWrydtILsYbti6K8GT5B8gX/nF90LdhR+nabn+5b1EAmwf8XnD6u+/n++h/64V/VZtoP58rNVflkb4eDznoY5/M8B3wKPBP5sbvIcej+vCB/+E3Z/M483J3ll9E/Lweu94/w5XlJXCfefCIjzNJb6rlnDcup/vMJIVfzSZ9kQmsmnWxj1+EPGDH8GfI/2FfyGNu2GIqfITk+LpZeejtYLbfufP7X1/jx84B1+BRB/N26vn1nvd7VbEykovJwl2GPqFMryU7lH8WOzIeEeP8fLGHPeNlyP/AP8ZZLe9+TvLbstBGbSfZ9+yf9YcjKN5UT3o32JP8l4zg7C89xM9XZYXOl8vhOf0Y+4M65B86a53b1pBfmPz/Ezr/vb/6xV5BD/IbX4ZUa1yha5e71aWZdG6ZwscjTPvgecTZCPWRnkspng2+qOjXQL9bfttn6Hw614TjKwWf0veSFyddEKH7tQe0zzLuje+rF5l+iGX8ELzZb7adxnoay9Wf3IgJYnivdKx2SjLpo46KJC/swvLNF5/7PJ9EuEXo2xBFBZ7nVi9/fdeW5DThhMrva2T3Asr1t7w9GB+A/732TmbZoChmB136s9R+BbJ8J+Is7OW3fPKsTvr9Cs/LWxr7zAM/YJei5lVMepny5d0BWx/GC8A3gBv9TPupbwhjfAPxJDDW0VAtlunD67klAneCGB9Rur7s6NNA9nzkBaGHJr8a93iHMfkJJb5vtwtj5wT7Qn4N8Vtb9eT0vZHsd91PZm/4EczyeeDp9YOWNT4mO5qu8TtAx4n5aeT5E1te69uTnK+/vet90YX5DfgJyPlTQ/NpEzeG26Z7nPLd7Mj4PHDegHXPrvq7sDwa8rfv0g7uOU7nbTi+ekI8rWOpRBb3zoXhYdwHHs6f3H//2CnSb4VDOvuIn5SFtHboWBG+yr31JYvG1GOuV6db85xiwLZI95OEB6Z7rpxMY66a0pbr9DvNp6MNxhFODsiSDWun+X5xUQMG0fiv5nFcqD3LY0FfbkhphqW7s7wj8ljI23yIO3z8iDPTWyvBfJ0H9iyfgHwg8Dvw/Zk/xccq3Jgeql18/9KKPp/0UV34KsmZn6XqfMOX5QegJ+ANQSnTUn7Rc52Df/YzIrn9+jtxsADhvX6bnqQG0yhX23JOj2f5yu6J2r5RZxl/8P0T69JFchCe5rZmNq274Wb+60cejIeivmBQl3bndwTz34hj06/rbo6PZX7khl+6Xjfhhy2/utbuoHG5k+jweSnsd0dS9li4kb4qnyyyfRTG9BK8CHWTxsJr36t64/5TzemZpF+/zM+WbYlmvLaubLT79DiGr5HnMx644EdzMsNTa16Xxd5OYOuxM5y6TuQi48UN7SHx0uQfRR4clTpF/rVtWi8gJNzW1KO7jb4X62xTOUK43vegQU9Uzv/lG8gnos4AvihkvP8P3we3wy7jFhf+qyM5VL3f3e2dzOoRGD+OuzunKI7xBf9U+03rIhn/Bf61PjdOdDLtO+DAwK1ro1j+HecEnow6AnA64tXgXrMn+boJtY/dTuetnvSp2cKD8VTcjzwR8u8J+YYbHV1Z/Qd5AvgP1IPSU4RK5Si+iZ9f2VB2jtXhgIvhT1Ry3zw8Q3qaqev3Woq+t7mhuPduHzsyeqY9Oc6Z4b5x/UI9JEhfDvyp30LUjFMclrujwYfhJPh15LW+r/qdviOE5RlUjt7wqCJ55c+JlRek+w1Hz65pi2bfI14hHsa3rhhYR3IcPuXj33MR7HnIhyHe6CfLXvpH8hpkY1DtQfIK2XUhv9mD+dMOE7npf2j8FHbM9qA74wOe5/7M2OLH9Bz4D9cXHzf7mtNzl3qN6FlIevlgt/FAL9JXTbUHjwqyiUemNfyJpnFtXUVmWQrj5ffnNjYFkB6V3p9t3En3Z99syTiUwOK37izbzXr0+cjAL6NO030OEzTi80geL7jCT9V98l7AyYhLsEvk55+7Lnn6xJX5/0FFDfc9vVjeB/4KuB/8F/nezdcnOAvR74wFa5eGezHc3rl7+pJ28gdNfmYee72Z/8Q6V3UWnqqhc/X/0l9LI4Ll0TQe3i26QXaplBckM4Nw0KhhP+QtSC6hvu42K2m/E2ZMyRkRx+zGSDOz8RddFx6cOn9IBIv/wPE7XicXdoewuAlcCv6BOkTRgTsuWU7MDt4f/LzPlPTaxrb3G+bXkSe8v9huwWpXln8pNC0/fdme+WnUYxHvkI+WmlfWVUjzhOlmVnz2YXJHvRe8HjjK1bt1xE43ll9CvfmV2ar+d3vrjcMX1L0LZDgZ+0TeAZ+j7gFeBDsED0Edb1jGm0+OQQwnIK+KeIL8AOrlwFHgidAPfI94AB4N/gK+mNc6UUqYnvfX/yIxCvI7hp/PWAWxeA17BJ6v1R5pOTeC2T8+h57hvKDX2AfsAPV+2D/8LerAyPMu2+Ddf2Eii39tH+zqtBIZ3wEfTIs9aG0dyOIg+g3A68BXwMdgJ6gnwS/fVbKVXePI8MuModYhm5xZPht1SeCvYlkNj0xnZufo4wB+Rf4SeSr4W3x/1UpKbCStx3Sq4KN5Hsxvgw8jjwh/hzoH6rPw5+BNwDMzV/dWtBn+gz6fVl1hcN+R2cWAIfqFfq6s3+NI5qCiJU4snuDzwwsEcpc5MN6AejHWCz+N+jD6JZ7fy31c68LWCT+GehDwFep3T8cuKK0/z9a5bPN8jdfubF96R+OTBvT2k9x7nB9HchtdNdpisg/Tb/ifTTcsFfZEM36F+g38FuIX+Dj0BHz3y4gT/nt8WTxCHgX5IOS3Vmdyrg8iGR+DfiMfCtyLeAceMrPzmUEM6Xe2ncUlk0SWt0O9A7gefg18HflpyBm4GHUw1A9tFypbl5E+bO4fcX44nW/y7L17z3kzngS9PKnp91uuD89G3QPrQzx83hMYKEfrHGRR4PwyhdWVUBeA3JE3Q3yz/VVy5qYXy5tbbVi6sdqO8QTkq9HXAT+MuIh+EIPgmZUdJOcZZ5/qxsWxvpGv5x9uyqE4tV7zflkx4cm5M3dZhqazfDLwI/JScy34QnU6D43xzQNMyV41dh75Z+rL/AWuoa/oc8A+MKJ+jPgKfwz7BG/ZKBp0YAztN3J07RS/MwzvIX8MfAa9hz8Cj5nz2/byOu8+9p1xa0BBHx60Vrqp1bwPHkDdG7wbdUf4V+AhxAn0c/V333Y5gPRK/dOBppPubH7Ywc3H1elJPiyegM+/XFLcft+P5ZWQf0DfE+Iw6vtFqWsdLzkyHFsbOq/whR3zL5CPzOTjxwxsCD98SQv/QDx0+8XbnRfOMD8DPpWzJuTvWE/mt5DPgt4DjyM/D3+DfiLwR/SLoY8HOAJ4GnKH3wLPRj0Rz4X9QY9WOl7d89yPxZ+MsUe9ToSzPqOsR/6fJJ0ZzsnY5f14CsmjdUmsSH9npg+wD+ARvzxpjz+0zpUi+gmuxMOllh5QNTGlfeTLnm82I/y5Ztc8W+LplzVXrLlJvD5JUSBawZzs5KXIRsnTrB8NOBVxEXkV5NFQJwEeOXTslYkn6dGxmH32TvEsf4L6IuroyAMif4K8H+pY4HvgieAF4GOoiyC/6brm0Z2MBFbvvGdm8DGQ5tl9J+v9j976vOUfZYMEVqcALsE80Nvsu0Ht49wZfkP8Er917dktW3YuSh7b052tCQft97glS9eq8989O+3E+gluGN4PukBjjsu4P2IeTC+RtwHeQ/9cxc3aiqgQtg7wWOSnYE+IZ6gbAtcjTqMfDn4M+WzYOfLgqE8gTgW+Fdi5Job1faC+OKK3TZE+P3MpYrpEIqsHoh489FNxRB35VfVotcQK+r7XSl+RfG2/TFwoRv51xgq97bHxLL8Pv/gq5/rfu6RPK9Yv0nvhzfIwyP8jX4P+EeXilzd5nuEayAN9HNBH8AngduQR0f+Cvg70H3kU1DYmk55ZuBy7cJp4zJ+AoZ1qtJ+ba+ce6khn9ceOyQLv1qew/AHqX8gHTnqVUDYsmfVnYP/mPoejbHvzwLe0tS7TeLmwvXA/fe6u9ORpap8+DeRzJkrLlAj26ffD+fw4fTpXrw8PBn8GD0X/Bni20xjNS5fpvCdcKW0tIr1c5WCQf7637/CThkAa+YUrzkXaNyxZP+/Vczd2XSO7f9X9erX1aRZ/4HemiVi6be2Tv8O5oF8GdR/wLpwD8hztcxMm/nVjeU74y+qDgzes8GE84n/3D6I/Gvcj3qNPF30EqCP+t7/xd3jY2HDGW11dNpVfJD2sNDFq801k9dZFO13fr4hk/Z/IX6NPDX4Ffgu4DXwG9QnESfRHIo6grwT8BnYPf4l8G85/yrPkR4PSWf8r9Oh3xKAv69JYfQH9cjanxk+aEMf4EPYP3q2272bYXfo+8auS6JNEpm86f34vN4xjeTDgNeBN1Ofhj2Evl9R/JR2JY5/f6y2jxLD9IK8AXgdeBH1BPgL5LugF6gzIh8+bIVC5OojV3yF31NdQb4U9QH7wNzqKVkuMYlmeEHoA/vVssL/zjFhWV4Wdhrt6uS7LYHnHkLFuFlwyq88irmDf/Ybm7P0cxeQeJOW8XyWerQM8GH0PqOvC/4Lnom8D36M/B3YE3oH8EOIE4i/yCfD7wPPICyDvi74FXKNuivokeDLqfZON14250qdfDrwNuExIwXnpvHMMz8F+4XcxH/gs+hSQV0Z+G7gBdaRlgZfWvCG9qLhrLbKB5g2Lfjg8xJL1zQuaD14035bpFfAd/NC1uERCNMzO8VzgDsQD1JuQNwSvAj5EXRz49oyi0uHbffQa/B/1k8Edu566+bJ4Br+GOjZ4IuqiyJvCn6OOCd4FvoT+NnyOvCv8FPQffc57zy3s+ELxab33+pLrGczuka9HvytwAfyMou2Y8bMvMJxUJf/6tw/NO/hHodcL8jv82ymrR9H3NSObpB2zWX69o9Hho0Yq8zPAdaj7Am/hfJEvQt8l/DvyGMD7yLs4GZi27znP8h3wv8Bv6FPEexzIiwIXg2ehb+5v2KaQCBq58oYrDqRPXx8HvRxBeM5XcYpjN8VJJ8kfnbsd2PsviHvgQfDzUt9V/xW4sn4I1PkQB8H396nqqYT4sjw1cPt/8xb/w8/CQuaUNfXxj6h/gZ9gHtQbkuNKpavTGB4DDklMuz6mJonlM8D7gK/WzPj4wdKN8blRAb4mUz1Z/zz8EOwF/UGzFuw4GEnz68nY7d6SwXg23t9APxP0Df4TI+q38HuIJ6jXoM8P9Rj0OwTXDzm0OoH10eB3qp9L/O/T79ZKql+4lczel8B9wJ3oh0J/Qgy/5Ftjnz4o1NdtFoVLS8azehXmw+fAz8Dr6GvBiPNG3TZjW29Gl8WLJLkSyUdkZ5E3RQIWZ7H+KNTTgkNdjiqT3JZWe/5ZFM/selTF8ZknUpn9dYkI9lPNYnIFPke8Ax7G+YIXYH2oJyOOIq4BvwL3upX2Oj7GC2Ze1d8dTc+527bjVTA955/7JYMvJOfucRlrfwaxvln0P6JPF++pAZeD94AHKFYsNqz3ZflZ4Bfk8y4LSPQf68XqHuDFyAPBn//v/Cbes8F7fogX8DewJ+R3oB/CkZ8EbKNYvRL4C3J4GyH9cGwu+e+OJ/szyA9WtF9x/XaZ/JKQ5u2iTNaHXep2cf9v+l2G270NZXS/r1xj/yi676uyztZssp/ZmTtNw1OZHiA/tX2Cg6n2JYpfN7K6O3PZeyS3Vs23aqH5Q7YNM1uVxOQEO4XegCejL2LJKOGOxXHsXIH7oJforwAeQ34V45P6rKuNJMeMmBHV0n3eX5z/XV7i+1lWh+SG7sx2tGHvPSH/CF6N90rQ/4w8DfqSkC9CngH8FfUi9KcjfqEfFn1zqHtDH2H/wF81Yp6H54ey78FHwGNm9TuTpOnO8jjQO+SpoXfI7+C9yx6xzdFhduz9FOAR1APQN4DfQR7Ay+hDQ54f8Qp9ukdnDilbRM8PbEpOaKF5/jZUB0TasudgvejjBd9AvHr7n9coWJ8ecN3X+y1Bu/1YHyz6SfHeC/gycAbqeOCnVgPFBKUjGH/C77bt77drK/mpsWdbFY8Rn/Zc/Ox9Il3b18tojyC/Jes051d3bx/VroFHNmWx/lC8n7BbSOHNz3jWhzWgeLHlu3jWd473IoAv0XcM3ov89IB+uebv41jfAvwkeDLwNM4d9QvUjSEv9Fui/ok+O9gT8t55JmfrDchufb7u6Iih8Y7C0oAvV0lv694F+pDd/5inZ5Z2hc5vqPCIVZdZ/yz8PHgf5sM+0U+PujvySLAv5GvhX+GH0UeA/BBwKfr3wJMhH/hz9MNi/ZLJZ4yN88ku98SUi+cwfzbf4K2XH/m/KUHTagUusPOCf4GcwENPOY8ZKNOH36A/BTgd/cbvJ1VMLoli60M9FHVM8E30WcA/wF5RN0PdBf4Relx/TSxUNonhVuAm9M9I/ohKEY1m9Rj0i4MHoI6JvHCNYWbWK7LHtCa3Ynnyf29a32mftGW8CHlv1IdRF0beE/0JeB8a+VLwGOAfxB/4ddSnwINRb0G/EPJNyOPhPQK8ZwA7A9/H9zgPvF8A/cR86GfY17Wo53M6e7+v/nRwhEwyw4UE2l9tSGb5RMeQ9Wm54QxvQc7wJ8B1qOsCd6HvB/aGfk28Lw55IO+Muh7mQTwHnkwxUpF7QOvutbbJNLrzW2rSkhl+Qv8PeD38I9aN+IQ6IfJ56INAHxTkCxyhkGx4Npji/oGWpcM/UBw/1W1eYnGF2dm9aSviPhay90rRFwo+5zJc+3pWLOsrR/wHP0QfLfoEkEeBvUCvUE/EfpFHB09Afyz46L9183c3RTK/CbyOfnj0vcD/os8adT/oJ/Rs0PwV7o2pjE+g/oR8BPQL6zN8mPG0NYZdo68T/bt4XwL3IV+D/hvED8SJZYIigxYksTog+FPROIGuLQVkP5YLR7SR/MUXWGmZkL8b/qws7yH5u0OyxTIvaTy2TWXlsyLyk+Y1lnmlhGPyqn+UlFPck2oUT6bRJ35Z9q97FE81ymuf3SV7f9lleZTGL8UZg4bcIrm8sPux7Sp7v0proHZtPj3nmv75jq35rK9mj1r212+0zpV/xk6ZeZH110Bv0/TWLLyXycZ/q73FV9K8u4a7ua/NZ3FomLRyci2NWiXVdXkUdy6u3aB9k+6b8LrnqNE14gljEozFS3iubpn5utNFDH92ewgNWZ3N+p/fNMZWil1h/C9lYtn0KvL7Ar/z+NdJTB+QLwfPs3jo83NaIOtfBn7FCB6L/Cb6qpPfKU96mMri4n/cN51TTFvghbm0fiMBz1BVWq/a8yn6ksU891BE9X59BfGLA6eaT1VS3HQbJLGziufkujyyNB/w3PiYuvG5jwgfm9R4ltQQbl2X1ClB9wlunWwiR/eVnxBdrnKf+JP6Ov1qOqepzi7hm+/w3P0ExdT3RQyP/+fvPbLY/xqgDgC9Ql7kYfh7YXeSj8K+V3wQnd+OEEdLrRz23vdoFfP5ZuksT2Ou9TX27AXWFweejziA/pb/B4N3mMk=AQAAAACAAADARAAAWhYAAA==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AQAAAACAAADkbAAAaRgAAA==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AQAAAACAAADARAAAdAsAAA==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AQAAAACAAACYCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSgYHAAAmNhNWQ==
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CylinderKnMa/Kn0p18/simulation0343_Kn0p18Ma6p2/Lambda/Lambda_8_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="1035" NumberOfCells="968" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="49001" RangeMax="54168" offset="0" />
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0389" RangeMax="5.9775" offset="1524" />
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+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0042403" RangeMax="0.0083532" offset="2468" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.094058" RangeMax="0.18529" offset="11748" />
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+ </CellData>
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+ <Points>
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+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.6748189645" RangeMax="7.8102496759" offset="19760" />
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="22940" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="29480" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="31276" />
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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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_AQAAAACAAABAHgAAYwQAAA==eJwty8kWMIBUAOBrWgmZd/xqV8lsJV1WFKW0K7q7jKFWiO6mDL1Ahs65C+MLVMriHkO8gKTVVQjnyFCUlTrn/1bf6ouIePC9/8j/J5LF5nB5jP986AMmi83h8hjf95ksNofLY/zAZ7LYHC6P8UOfyWJzuDzGj3wmi8157Lcffh7j5x76gMlic7g8xuN8JovN4fIYj/eZLDaHy2M8wWey2Bwuj/HzPpPF5nB5jCf6v+Sz2Bwuj/HLPpPF5nB5jF/xmSw2h8tjPNtnstgcLo/xqz6TxeZweYzn+EwWm/MKn8d4pc9ksTlcHuM3fCaLzeHyGL/pM1lsDpfHeJXPZLE5XB7j1T6TxeZweYzf8v/IZ7E5XB7jDT6TxeZweYw3+kwWm8PlMd7kM1lsDpfHeLPPZLE5XB7jLT6Txeb8hc9j/KXPZLE5XB7jfT6TxeZweYz3+0wWm8PlMT7gM1lsDpfH+KDPZLE5XB7jr/yP+Sw2h8tjfNxnstgcLo/xCZ/JYnO4PMYnfSaLzeHyGJ/ymSw2h8tjfNpnsticz/k8xud9JovN4fIYX/CZLDaHy2N80Wey2Bwuj/FPPpPF5nB5jC/5TBabw+Uxvux/3WexOVwe4998JovN4fIY/+4zWWwOl8f4hs9ksTlcHuObPpPF5nB5jG/5TBab8zOfx4jvPPxMFpvD5TEe4TNZbA6Xx3ikz2SxOVwe41E+k8XmcHmMR/tMFpvD5TEe4z/DZ7E5XB7jmT6TxeZweYwHPpPF5nB5jGf5TBabw+UxfsFnstgcLo/xiz6Txea8xOcxfs1nstgcLo/xUp/JYnO4PMav+0wWm8PlMdJnstgcLo/xMp/JYnO4PMbL/d/3WWwOl8f4A5/JYnO4PMbrfCaLzeHyGK/3mSw2h8tj/KHPZLE5XB6jfCaLzXmnz2O8y2ey2Bwuj/Fun8lic7g8xp/5TBabw+Ux3uMzWWwOl8d4r89ksTlcHuPP/b/2WWwOl8f4kM9ksTlcHuPDPpPF5nB5jI/4TBabw+UxPuozWWwOl8f4G5/JYnP+1ucx/s5nstgcLo/x9z6TxeZweYzP+EwWm8PlMf7BZ7LYHC6P8Y8+k8XmcHmMz/pf8VlsDpfH+GefyWJzuDzGV30mi83h8hj/4jNZbA6Xx/iaz2SxOVwe4199JovN+S+fx/hvn8lic7g8xo99JovN4fIYP/GZLDaHy2P8j89ksTlcHuN/fSaLzeHyGD/1n/Tdh5/F5nB5jCc/9AGTxeZweYyn+EwWm8PlMZ7qM1lsDpfHeJrPZLE5XB7j6T6TxeY81+cxnuczWWwOl8d4vs9ksTlcHuMFPpPF5nB5jBf6TBabw+UxXuQzWWwOl8d4sf/bPovN4fIYr/GZLDaHy2P8js9ksTlcHuN3fSaLzeHyGK/1mSw2h8tj/J7PZLE5b/V5jD/2mSw2h8tjvM1nstgcLo/xdp/JYnO4PMY7fCaLzeHyGH/iM1lsDpfH+NPv5v8BRSzI/A==AQAAAACAAABAHgAArwEAAA==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AQAAAACAAABAHgAA7gAAAA==eJw77m3e6agg4HB8lKYJPbHut1WB3yhNK9r+2J2tLTWjNK1ozp8L0jevGqVpRe9waHp0/MYoTSu6qdhtyjc2wVGaRrTBbnV+btNRmlb0PSbOLvnkUZpW9ArTs9Z+E0dpWtFhteu2Je0fpWlFK24oypj4dpSmFX3+e/DjpdJCozSN6JlaElOveI7StKLdi37yvywfpWlFCy3de1B82ShNK/rAm3k2OldGaVrRwEbwuygm4VGaRrRFuktmvsEoTSv62TrVJ81xozSt6I0PX07d1DNK04qO1zwtcHzXKE0rWjOm/9DXF6M0rWgABYaRLQ==AQAAAACAAABAHgAAHRsAAA==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AQAAAACAAABAHgAAZhcAAA==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AQAAAACAAACEMAAAPwkAAA==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AQAAAACAAABAHgAAMAUAAA==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AQAAAACAAADIAwAAEQAAAA==eJzj5BwFo2AUDHUAAG+sIgk=
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p18/simulation0343_Kn0p18Ma6p2/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 0.01039 0.58754 -0.58747 0.0092287 5.6146e-05 0.003574 -0.0092267 0.0002011 102.31 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.28887 16.556 10.351 -12.921 1.8635 1.4929 0.19186 -0.1795 3343.7 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.01103 0.60543 -0.60476 0.02852 -0.00086884 -0.018424 -0.0095128 0.00015858 96.698 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.2753 15.784 9.477 -12.622 1.7827 1.3385 0.17686 -0.17724 3218.4 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.01043 0.59226 -0.59043 0.046468 -0.00021575 -0.0027414 -0.0092775 0.00068683 100.59 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.26099 14.955 8.5993 -12.236 1.8431 1.2954 0.16402 -0.17184 3047.5 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.00977 0.53414 -0.53091 0.058613 -0.0022665 -0.020529 -0.0083748 0.0005982 82.463 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.24238 13.882 7.6216 -11.603 1.843 1.2106 0.14866 -0.16323 2862.6 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.00994 0.56735 -0.56169 0.07994 0.0006466 0.0045433 -0.0088125 0.001327 111.89 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.23391 13.423 7.0137 -11.445 1.9299 1.1827 0.14048 -0.1612 2781.4 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.01008 0.55702 -0.54873 0.095769 -0.0018412 -0.01055 -0.008648 0.0013386 111.46 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.22046 12.612 6.2489 -10.955 1.8632 1.0628 0.12742 -0.15539 2601.8 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.00902 0.50204 -0.4916 0.10181 0.0010072 0.0048638 -0.007706 0.0016755 92.277 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.20374 11.648 5.4504 -10.294 1.844 0.97636 0.11458 -0.14636 2460.5 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.00927 0.51841 -0.50408 0.12102 0.00025564 0.0010648 -0.0079138 0.0019176 89.891 0 0
25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.19364 11.097 4.882 -9.9654 1.8235 0.89335 0.10533 -0.1425 2298.5 0 0
26
+ 9 0.48429 -0.12434 0.48015 -0.1395 0.00868 0.47377 -0.45698 0.12501 -0.00018178 -0.00066448 -0.0071807 0.0019532 84.023 0 0
27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.17901 10.338 4.2543 -9.4223 1.792 0.80911 0.094971 -0.13529 2198.7 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.00847 0.44383 -0.42421 0.1305 -0.0054466 -0.017704 -0.0067487 0.0017718 81.498 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.16886 9.6595 3.6965 -8.9242 1.8578 0.76954 0.087244 -0.12809 2027.7 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.00754 0.41442 -0.39208 0.13424 -0.0010565 -0.0030858 -0.0061751 0.00206 70.741 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.15631 8.9996 3.1811 -8.4186 1.7023 0.64323 0.076705 -0.12213 1927.4 0 0
32
+ 12 0.47044 -0.16937 0.46489 -0.18406 0.00735 0.38851 -0.36343 0.13733 0.00082156 0.0021742 -0.0056956 0.0021912 68.719 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.14744 8.4297 2.7305 -7.9752 1.6832 0.57628 0.069327 -0.11622 1805.3 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.00747 0.40753 -0.3765 0.15595 0.010715 0.025869 -0.0057456 0.0028559 76.984 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.13757 7.965 2.342 -7.6129 1.7213 0.52954 0.063824 -0.11126 1752.4 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.00673 0.35859 -0.32682 0.14757 0.020117 0.044555 -0.0048175 0.0030177 75.463 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.12684 7.2315 1.9082 -6.9752 1.5829 0.43304 0.054836 -0.10276 1571.9 0 0
38
+ 15 0.45241 -0.21289 0.4455 -0.227 0.00658 0.3502 -0.31449 0.15407 0.011978 0.024451 -0.0047516 0.002804 64.012 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.12037 6.8765 1.6053 -6.6865 1.5562 0.3736 0.049658 -0.099158 1530.4 0 0
40
+ 16 0.4455 -0.227 0.43815 -0.24088 0.00582 0.31872 -0.28167 0.14914 0.014673 0.027712 -0.0041939 0.0027779 71.328 0 0
41
+ 144 -0.10907 0.48796 -0.093691 0.49114 0.10933 6.2926 1.2761 -6.1619 1.5764 0.32646 0.044805 -0.091659 1433.3 0 0
42
+ 17 0.43815 -0.24088 0.43037 -0.25452 0.00535 0.29269 -0.25424 0.14501 0.028734 0.050376 -0.0035421 0.0030691 67.664 0 0
43
+ 145 -0.093691 0.49114 -0.078217 0.49384 0.10082 5.8064 0.99828 -5.7199 1.4959 0.26107 0.039176 -0.085744 1319.7 0 0
44
+ 18 0.43037 -0.25452 0.42216 -0.26791 0.00541 0.29412 -0.25078 0.15368 0.041135 0.067126 -0.0032929 0.0034682 64.86 0 0
45
+ 146 -0.078217 0.49384 -0.062667 0.49606 0.0952 5.4498 0.76788 -5.3954 1.4288 0.20335 0.034505 -0.081554 1249.5 0 0
46
+ 19 0.42216 -0.26791 0.41354 -0.28104 0.00516 0.26255 -0.21944 0.14415 0.052775 0.080342 -0.0026179 0.0035261 67.216 0 0
47
+ 147 -0.062667 0.49606 -0.047054 0.49778 0.08519 4.9088 0.53867 -4.8792 1.416 0.15633 0.030702 -0.074183 1181.5 0 0
48
+ 20 0.41354 -0.28104 0.40451 -0.29389 0.00496 0.25219 -0.20633 0.14501 0.057561 0.081902 -0.0023368 0.0035642 64.313 0 0
49
+ 148 -0.047054 0.49778 -0.031395 0.49901 0.07904 4.5343 0.35576 -4.5204 1.2945 0.10188 0.025921 -0.069403 1030.8 0 0
50
+ 21 0.40451 -0.29389 0.39508 -0.30645 0.00485 0.24973 -0.19971 0.14995 0.06445 0.085839 -0.0021246 0.0037036 67.156 0 0
51
+ 149 -0.031395 0.49901 -0.015705 0.49975 0.07242 4.142 0.19511 -4.1374 1.227 0.057866 0.022338 -0.064078 967.5 0 0
52
+ 22 0.39508 -0.30645 0.38526 -0.31871 0.00528 0.27214 -0.21239 0.17016 0.086756 0.10829 -0.0019733 0.0043736 72.75 0 0
53
+ 150 -0.015705 0.49975 0 0.5 0.06739 3.8783 0.060918 -3.8779 1.2181 0.019135 0.02009 -0.06061 937.6 0 0
54
+ 23 0.38526 -0.31871 0.37506 -0.33066 0.0053 0.27184 -0.20671 0.17655 0.095513 0.11183 -0.0017466 0.0045297 81.487 0 0
55
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AQAAAACAAABABgAAZwUAAA==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AQAAAACAAABABgAAtgUAAA==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AQAAAACAAABABgAA8QUAAA==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_AQAAAACAAADARAAAiwkAAA==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AQAAAACAAADARAAAYAMAAA==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eJztxb1KQgEAhmFwCKRBs0GhwRokjAYXMSrIIIoIXASHEAMdrKmwwaUarCUJ4oAOLeFiRIOUokQi/QydIaLFoSGCfoiEcquQli6g7xLeZ3nMucD2ZL89aDLzv42N39GVEDOrJ64fqltrzKy2dgrJyhEzq0+DmWfznpnVmdXp3HdXDzOLffVBW7efmdWPFmvWnWBm9aH/dixkMLM6sl6qxc+ZWT1wnFo0PplZffcTfin2OZhZvDfkyjdnmVk9k+rYWmlmVjuKjUvnATOrLz72x4ebzKzOuhPteUsvM4tHklNLyz5mVr+VPK+bMWZWnzy18uUdZlYveG/s5hkzq73R3auvd2ZW/wFCUY/NAQAAAACAAADARAAACSQAAA==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AQAAAACAAADkbAAAVBgAAA==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AQAAAACAAADARAAAdAsAAA==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AQAAAACAAACYCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSgYHAAAmNhNWQ==
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CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Lambda/Lambda_7_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="2323" NumberOfCells="2200" >
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+ <PointData>
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+ </PointData>
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-0.46926" RangeMax="3.9939" offset="3292" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.094397" RangeMax="0.18664" offset="17892" />
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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="34076" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="50040" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="53976" />
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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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_AQAAAACAAADARAAAkgkAAA==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AQAAAACAAADARAAAbAMAAA==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eJztxb1KQgEAhmFwCKRBs0GhwRokjAYXMSrIIIoIXASHEAMdrKmwwaUarCUJ4oAOLeFiRIOUokQi/QydIaLFoSGCfoiEcquQli6g7xLeZ3nMucD2ZL89aDLzv42N39GVEDOrJ64fqltrzKy2dgrJyhEzq0+DmWfznpnVmdXp3HdXDzOLffVBW7efmdWPFmvWnWBm9aH/dixkMLM6sl6qxc+ZWT1wnFo0PplZffcTfin2OZhZvDfkyjdnmVk9k+rYWmlmVjuKjUvnATOrLz72x4ebzKzOuhPteUsvM4tHklNLyz5mVr+VPK+bMWZWnzy18uUdZlYveG/s5hkzq73R3auvd2ZW/wFCUY/NAQAAAACAAADARAAAGSYAAA==eJxdW3dcj2/3l61EkpGUUFJEdiK3ElnZe29CNJRofdLepb2npoZoi0qkSMlMvtkrslI2v9P3+b2f0+v563rd+7rOdcb7vM+5P1wLbRa3EQm/ttV4RVuLhAk5p/p8Pi4SPvz/+dguD7XdHUVC4FiV2C9OIsF65qwDV91EQv3SnOv3nUXCvbXZFx6eEAmWizWX1tqLhJP5Izx/2IkE0aRXNUaWIqFJvv+N/kdEQkTw7SEB9N7ClnKzXJFI2PR6YddUum+jWlWnNFuR8PthbUAkjZMOqCo203m9ic/vH6f367/e22TuIRIiq84+fBZE90ePvvgzVCTYJ8/1vuAvEp6plEtfDhMJT9PKJCpCRMLwRwvlzvqJhCvd1pRHB4uEmFn5n/6JEAlZbibxRrEi4bX/tSlFCSLBvexWbVqiSDj84JWnA41v+lbPLKBR/nVsrmS8SHAKWZSaG07yOOhQOSdQJCx1/qK8m95TX97fQzVOJGg59+s9IVkkBMm77JlD9+tHzz1VcUoktL60r19C48WBqcv/0He2+YxraKHvbll9urYtSiS8XL9gzAU67iPbJGEdQ+vd5XxPoPVoz9HcU0/rMfD+NMiQ1jHHqMTzBt1feWxDfWikSJCMfN3Vlo4LxsWqiIfyfMQczx14Re/52uj4amGKSOhxsDiw4bRI+OecbNLwVJGgsCu+WILms0lO7cp3Ws9gLbnggSSv79tVp7WRnErkDcLSSL5KK5dqpJO8ivaNnNiD3ptxq9nPlMYli03l9tH3tvZXv90aLRI+tVkVr6H5aNZ6/ZhC654vp3/6chJ9zzQsVTGN9kU+YXHfTNr/Z8N1pWkeJbfVVv+m72+uT638Ru878bQipIj2cW3miPguJ0WCh8vXoeu8SZ79zho89qT55zx64EbnNTI6X9ELEAnvy9sSNtP9J9XtFy6i+YurPv/gQPJZXmKhsYPmU3Iybd0v2reeiULMffruoiIXrR3PSD7eSe5LZtgLlpZHrprmiQTnhUYtUveshAjDvdrDH5sLIYO2DYssNBUsd+psX5ZoIjyNnNi8/JCJYLfed2i0nYmwqfi2rOopE8Gj0kJ2vRfNy2xboyvtz5Gbvp9Gkz6MWrRiVgrNZ1nntrE7aV/2H3ps6NWuZ9c+Rh+KYfl80vxZsJbO2x265FDqKxIeuE27d4fs51K7+tHx5Mcujdr0nkkjejTMon05Ojew+8hwlvPL8KsqF+l9upmCW00k64XipsRrPWi/+3m9V7Sg9UtuNOxpQ/LI8DsUaEL33VB58s2XzgfGOm2dS/rWd+XBgcdoPlI1RvJHaT9W/PimtZX0WOLUizZ7+u6zF3oDy8NZ/+z3XPErJvnPrJi6tYH0xGSz58NxPmQ3BubSG0lfGovOf7hB83807ULbddqvl3EHjA+60Hpeqam8JT8wpPjiy1LyC/6fE4K+0qhz4dElEdm9rvW2Cju6XjhFzziP7Pyq64/+i+i8200zic0klzi7f/Rcye5bz8YN+usqEhY83v/NhL57Vbh/I4Lm6TvFduZS0lPbz6XWl0hvjJ+439Gg/and133xDJrPgbHbjTwjWW+b57dGbqV1/GtmdH279C21aHeRMMPr3KpGb34uuiy36VEY6z1GyHtQp1BPWfru2k+x0V1JHv2l/I2H07y+vVDR+EbjubLQrjI0Vmef0JpN8onX3jLfheSxw/v2hEjSa7ssXVEZXR+X+zdvPn3Py+6H2qqTbHd3bksenkDfdxy6MD4/lO3glYLR0f0kl2POheuryQ93uVx/wY/mfzF2kX86nZ8WmaH5kuSl02lriT3J86h33qKbJM/DI8XrJtB3u+o0XPahcVHQ+15GJIcNuxPP/SF7atSQyxhG9llTo3BsQiPJv36U8bzR9v+1w3WLFrXJbrcSpvVUHWcTZS7o7xEibsaYCr0v+S3PJLvYekm+wM7CRMiq838tR+uMcXkw1ZP2OaZy/SQv2l/hysMcR4onP+OWuMdYkX8PWx4SQfPbEnVjwClaR3ZVUNsgktOgC7K+g0nfLCr9/yrRulUqVs5Nov3T/XTBqZbk7xAzP6IwmPexbG1NQjLtW+G74WN6kbwq7Ndei6TnhhyJjO1Pz916KL59Cq1v19U1M8N8WK8UT12VyqXnvhqOUv1B+hK0JyXtE+nXy+dNB42cWT8PfnIs0KQ4VyX6PVzfkffv8G63GxNpvkHJo5M/03r7KnqtUqXRtX9Ljy30nqmP1Ke8oue2DqkdGk/vy5Lp/2Iojb3395ozjuTyz+8Z72poPjMWTVn3jw/rbcrel4esaZ879V2THkTP/719Ky6U7m81GSn3h+Z9rqus2ACa96oZCt69aB7yH/T+FtL5zj3WF53ssP8/Rhk4xB0TCeFyt/oHWbI+DL58/v5liqv/cRciYeIHFdkPFNenDk+f8JrWd+iNS8XkDvLxa/kjLKH9CFuTWfGG9PT9iaPJmzrE0QBlx3X65GeOush0USL5m0v0/6VM91/Rv1MSQ3K/d13KRj2K4+jdPr7HxtG+GNQay+yn93yY/S1tI93/a1D6/E90/w3jLrMEWldlmbXCfAeeJ+S55bGBdCKdh55hvd2KH173ovm+cz8Sts2f5zGgZ5CtPB2nPntlfpz0ZZ1RfGJnf9aPyVE9n86kdVy+dqsgjq6HhYwrb6L9sMkXTK/Q/mrVTFr+yIvtrOmkiecuun4z/IWkB9nLGOUB93QfkB+5393fRc1esJ3xvNSE8I2xf1vaKWUrwWzFkv0KFuaCT1dz5c3epsKpKdvXONB7rxXajdVzYb+G98OvQi/vNGTlNdL6B/SdXlFF+6kttT7B7SjjsXrJqbX3XNgfLK0ZeKA/6csYx+PRS93Yr4RsOV3QTHLN/SXXtx8de861VFxL31k4pLnzYTr+Ryh6XevN+od5rnAKs+5D728piu7VxYnxGHCb+f1JWnfJnqMl6sd703HB0UsH80m/riyx7LWE5vex29BvPUSs9xg/XYr42Z38gvKGz5Yb6P4D5g7ZWg5sB9m9B7YMJnksum/U/ZA/70+K8l5TKzq+c9LbVCOccQyOdcyLbevCOA53ujJp32vST9ncoVEytM8Hmp4Ye9B5qX7NspaEx9Ym221YQzhFe2ag/Nh0im+2MkPUaV9TB1ZMq8oiOf1a3ZBMcTX0lrjlLMJ3w6KUr/ak0bWqtiwzjuMB9G3vzI3LAwJ5/vAj6TF9akfQ+FmI6tyN1ln9RWyaDl1XXfgtYEWH+Pb6YfNxQzr/ZqCx0x6SQ5L6rl12tE/52dGKvcle/lRrbHhH67Q+E6EqS3HbbV5dZXoC44TibaNmdyF88NfjzOa3EewPgR9CBrgfEQifSff6qHKE1tHkcWNOHo3Vhtta/eh954raivbQcaeeZ3e9iWKcCjuJEU1730jfuWay+VVgLONdvLfsuvrO7ySv7ZVZLz7SvOz2Ks6QIdz5x7HPgFm5ImGE6MWKxKeE05Q7/Q0ge1k0elJA5Vbah5a6Lndaj/8XV7r2XnYxi96fufRDiHEU403ge+hBrwM73zmSXHaK39UMJ/2dm/HikSXJUaz6blYgybWgQNewgPRw48EFv9No/GQv/7dbBxxye2tm1mPSP8MZYsnatD8DqwuqKikvOf3U6/pI0nML6Vy9W3Td6YnRh13tOMZqdlMJ7d9QsznfzpNdrBSLcOjtxvulFHhjbAb5sbypUbJ9SA8WrzoseZDGmndd52p7My6oU3DfPJXO313W12J8BD83fHjVoHPkZ43/Y1DCQMdgJzm678n40q6VdF3UVO5+kexzR+3KcVFkn4MdtB+W0zyjbq5R9qP1iZt2nzLRlv0n8rNDST2vTSK9yhEN6dnfl/Vz+6oVKjFujGcRXyHX38vHr3xP+nPP3U80NprzAci/fGlddgLNZ5hqRa988i8JRx+vcKT3nn9bYZ/tyHkgcK7ratOuW0luUhHeG1XoOPhpavYHuj9t6xtrS1rfvvxN607Sd5Vrlk1Lo++OvGegmknrXzdGKVWM7H+wdZj/oFDOW4C7HR9UJeaFcV6Q/0VBXpLe1/3rlvapCz0nPHniQs9/j0+e9JXW79nl+8g1NK7OGxbYoz2e2kS6i3twHgp5wu/BPl+M2m94iI47L7if50/HSYefbRPR82/7mPnv8OO4pnBgXvcCel9IzJjc9x6MO4CnpFdIG43oEK/yLOUH9qX5vRpUNa6Y/IqSuPrbP2fI3+rHSEx+Q+NrrTkqWvaCt7bVuJX+nA/N/l509HYI49OP579nr2+Xw+FO+otp3LQ5pexHGOcBU4MkPmqSf/BPObF8QSTrHeaFcf4uw09mXryv8PfKESbmG0kumjvqHE8eIvxy926oJ8U7s6gz4+sJZzwSPZ5hZcn5/oDl+Zeu0bhouO+ioRS/TEdkjW6wIP/a5H5BxYrjgOY9jTnPSD7Feytds5xZzsDN0GfEn71ONkG69Ly3c6SZGL1X46uSRAuNNS1JXk00H8X3Tat30RhtsG6sD93vvPlw2w56XnK0+zx1GmX/znpWRt+9paye+MyK+YixPYZ9+GFCfmq00bbtFGe/py6yTqCxWlvJ+sNh0m89Mb/JtG7NhOX2/kYi4ULW2+otBwmfXj7Re9xewktzyqtTdtF3xqv7PDAk/dItvZtrSnp4opOslgXHb/gfuemlzRcdGQd++GOZuYH02/Bz4w4f2jfL0iDJ4ZGMh/dnbd3jTfqt8dG+bC7pwe2BXgcmhnK+gPgD3Aa7Qp66/k1CeicazQ1OfhtFemrZZaD4CNKbF8MqFEvJz0697/5uOtl5sULSnM7kfw8P3evmSHFh9JzVi0/Ref3NV5KvUB5Z2id96w+KExcequiLxXFcmPjasVYnmP0C8kWcF2wKje8GcZ4bZ6n16wG991/4FMt5bZ97+/ta0XHgs66b5pG+Gq95429P3zsrtJ7bR9/PabW8spPiNvL5Nc829km9xPPLtj9yxpDmrSp2d2kCPX869ICLeSjjA8PJW7b60rEwY8aRO8FsT8kpuw/Y+PF+7ClZvzCI5HwweccR92i2KxGhtxI/9pvAIcAbwMWwa+CxZV7Bh6RJ/47WTp1fR3rpkPT2+V7y10v7Be2VIX3sebyLylTSwxsFyg7NpIeWKxuCbfZRHFY1XruK9On+gzV9XA+Q3VQJeudI35TjZS703MXnofcSGi6aE+j901dOXPjEg3kz5EE3n/dYOZ325+y8kN8DyM4V0i93LnRn3Adcibz9l8Iyvygbfi/swy7vxdXD7fY8VrxoNM37nMT5BWX0/bXWc56cNafvN97y8DWmvF3VS1uRjlUCjjispXW+2Pdm92HS+5E7Puzfcpz9LvKoM74y74aQf313vSVo+0mOm5qyWcJzV853kEePvfArZbEnxzOsB7zh9an2k3Tp/PwRTV9Mye/e95tcWe/EOBh4u52dVPTlvB7xBzzb8+3z5Msi2T4RJ6FXiDvIY4HXTr2b1e8O6WPdnb2DXTNJnp4SPXSzaf/Xjlrbm8buH4u8/yGcZDUlfIQc4ann8ZdlL0Uwvykd4Gc40ovtGLgAeQ3yH+SxiL+vtr0zO0DHFb2/9zawZd4QPNDH48dz14UzvoJdwM9gncCROL9Mz1x1F8nBZUlN0ZkY5puCG3rs1yXct9Lih85mGqtaNz4OpvOFqXHjeoZzngc8+dnUpnxVh+fAW4KPrU579OkknXeuqz53Noq/i3gHngrvhZ3jGHzK1d/r6sLpvqeGc/peoesRS7LvvAhgfsL+095bByl+5LgULyshfU6e3CN9LI0y/tNKrpOeD1pQdLPCmvxm0DntOzSq9TwWstyF9RL5MXgo4LSRstXKWfQdda0/WQvpfLiMxrXXpFdRrpMfP6V5zRmj41sdzTwo4q+RkXPJVBc+Bm8Dngd8wv7v9mkzaf6bdy2WSLZnXIXnJ05IGvDRmuMN8rl+g313KJOdl4YuiU3xYnsHHzNt4/iZL+h4n5hd5Gwbzu8MbUQJs8hO83+W7i6k905WTR35TsTxFPG16fZH193ezL9DPpA/+PRHrbN+XCP/2e49l7ny+uB/wavZWJSYX6b1lzZUR6bS+KRZp+fVYM53kLdBX4JDXY10yN50Js06cTOc93vhpoN/D9N8fgxL1Wo9yXwN8n7kZ/E/Gxc5u3L+H/ogveStN/OhsHfYxUDdwW5DaP9yCyOkpfyZn0T+An1wCf7UaZsz80bbgm6OjHXlvP/n+rFzPwcy/wuexWFLZXQBffey26ri2EDGfY9NZotVBfJ94JkftoXEjyA7evwy6uIQwpG77CZ/fZvC16+1l09IbhufJBX9CmFc3Sv96WunDnkI+DPUW5DnYh64jjiJ/QSfDd4S+OT4z8GDFWIYZ8Cfgt8DLoWcwccCT+B7yOddfJdQasz56oaRKvm/g5mPAr+J/AH59f1bZy8/ID0POJQY2erIvATyxoyhUvcUT/D+gH+D/kxQ61qtG8T+Z3beTKtboYyjkL8siHr709iX+RXwt8ADyAMQlxDXEB/Bo89Te/XSguYdkKUc1kb6qep51G+lE+sT+FPw2DjGeqacSlNrOsF6rW5tk77Ii/lz1Kls1KM0BlEeP7++IrM8meOSbUr0tAGkP4ulP0odoHXnzAqXkCY57O5cPy/4JPPy1y07acyh98/JfXrT2pHzKuV+tZNOhzCeA68AeU2Tlvw6NY7rNzJiLVOMyZ73tmj2fknxcsHqytwymseY7/c3x7THl/xjs7bEczwT051y+CXFsy5amjZPaR3Dg0bf7UrPm3c1PmtJ+j/8flJdN8KLqyZbzd1E148XhMrJ0/2nG5ocLEKYFwK+vDR//P6vdH+on4eVNq37evOW9/7xXC9MVihXvUHvX3izqriExhHSav90zhAJzX/r1p2hMfyapLPWafZDbQmd/zFIZJ4k+1JL+v4EtlvwBLBDxKsVMy2nbYvlvBv6DX4H+AI8DPbvUMzuE87xHNeju0599TiU9RT2AV4I9UPk0eB3mhYs1c+l9Y+sTX0slsnyi/8yo0t9LON48KkTE7vdnh3CuAX+BXgZ+QDiOPyRXpJu8LVYnif4hX53pfYodchHM0P6NSqQXp20iPf5LmJ+dLSUhftqB+Z3kFcijwd/jPomeAr9xNfNRzw5HoAfAb8OPrJswLLkJB+u/0JOwEsnlPQDzwfy/cDbX6bFSom5MM+AuFZgrKgkQXLxKbCespye8yo9prLaj/lv1KWALxDvYn9ptj6M5H0HH7b0qtmIPeGc70OvUYfcejP93pcYzl+wD+WSK3PjSc6Pz178XRXAeBb7ivgKP4v9P9PNLPUA7dvby8uWnCM7aTgeHKHUgVcEnoNfmfekPPZqAttlc/HKTVmkT77vNn6NIfvcd1ir//MzbE/uXVdWn+5QlxyqNvxsHxrP6H9OPBjH60Sea6S0y8qV9Mf2rcLkgfR9NZt7a+LovgRjbfF78Tx/xJnltl8nbY9huei9KfW/HsPrgh/wmHXnXkoy2xXmgbiOuAbeCvHrTbXB7Hy6P9/QpmHzGeaX3/aoXZhDfkzrqm/PiUlcl1TpdUsnOYLzYeSNF59V+WS4ch/F/rzOmTNIv88sCfwgS3EidKh68TsvxknIr+Ff0wcYeZt14MXjphb9rad1zt19Kawqjvle5NeQO+rFWC/0KGBvl9XzO+QP7VVDqRjGI05rrqfn0H23wjx2TQ7m85gH8Czq/chbEN8Udy6QyfHhuA++C3kY8nPYKXg24MeGbu0ZJ9dDICecX5+kfOZvIMc94PO9PxpW+QdxfR31dMgl9+z3yh2klz+lxDvpZdG6skInjjpLuGxA0gYJGg1Tzss/OUc4s5uv7zTS63/pRrpPusJ4jBm95+xv8/y9ScyrjHa6PT8xivcB+gDchvoE+MAWjT8VK2PYrhBveo3QSbpL+iVz0Wz6YdKvnaVnW94ls10h/tXEP/3rncz9CEFbu+/Uo/eueyq2e2UGxzn0scRnn+9+P47tBHZ0aMtLJyf6vpvr8isZ8czDIo5g3uivQbyGXUKf4MdQJ8R74A+BgxHP4VfAN4Ws7WUym/RzsYTB1WKSd/Edxz8ri+g+2yUvyy+RXo0J0Z1AY5Pu6T89aexsLjNh6gXCfX8/zLIpFAmj9DJbf9J+Pb+b0CBdQPswNHb10GLKm8M7f1mTT/75he3TjbSvP1a4/dLLZDtRGKFUKp7I64I/OmY3qJ9iFI/g61DvnC4u1W1SIsdj6DN4aOBE6APe71l4tzGJ/MWeo9O6vab9jS7qHzeR5n2iQWlZH9KvtXs6kakTvtfO+dFE95WXa5i0prM+oP4C/zVtlWfLtFjuB0oYd0HyLn3n/HOl6d2imE8wW+3TpNaBZzat93o2luyuJtVp/kwfni/qHsD76Gv5ppI09rs34+YDk7rmTnfk+Ny3UXLdaFfuf4C8oBfYZ+C8bQaZjZ/p+OI61SV/6ThCv6+XJunt5ODdoT45hJdM83zf5YqEI/M+ZB7L4j4u5BvQZ+gR+q6AG+F/UTcE34n8EX1X4CuMnj63dYljnIc4gWPrFrlRQxI4joDXAQ/UOrqdmOS+MOAf4FLkZ8hzwNMgroF3Qd6J/AF2g30ArkHfAPJo5OfANagDnI87NbNrNOd54JeRzwCfQX9Rn0TfgKV4wYqa9jzKY+25AMI9w17pS+Z58XOwc8wLuAj8A/AI8mf4KeBb1DFQZwF/i/oY8OKX1uEynUi/0K8FPtDn588JKwIYx6XJ7xcd7YCrsA/ABUnPdYbdJL84o3P//uPJXrR/DBg+hvROcYhKTXc6rj8R4D26PS9Yvnh64SnGZehHQ70FcTG2sOBbQxTjB+QTqDPDzs16G52ypjHX5Hj19nTOw8rcM/Z8S+X+th5qs0IfpHNcSgm7rHGd5jd+zBaL0DTuU7jdt2mEUzb7t9LL7kMWk1/MV9wYlHmN4qxhXlLrVcIRM2veXCon/CnyjtG9SPquutEukfxjV6NBwsQyik8fWjeY0yi3+/eeHYXMXxqH7PM9kcT9h4hXsCvwg+DnhkxUOCUdxSP4TvAPOI++HvT73IxzXaPpz32CyMd3Ll49JcKL+9GAJ7r/S0AzXwG7eLvss89OX/Zn7hJtAzaQ3my7v0wxzoX7gIDfwVuj/oR8BLwHcA7s5n/tpWhUwpTukawvqOug3xN1RPhF9LXITyj/WeTK/Vvov0XfHPg3yZfiC8c6cj/Hrzvqiz8GM88KuwZOHmv+YFdUIvcRPJg94KRKAuefqEtDn4FrEd/gB/Ed1OvBhxzTDpEZFs14d2H/hYWlpI9Tbr6K9yT9c3ZLO9yN9MpJMnVfjzzCwaW19fkU1wblWegfILxiMLemrpD0yrzsY+7RbM4bgKNgR8gzf/tnkEUxnyT3MSq5XzT7d6wb+wF83c1qc62nD/MlkC/403sDJpU1tNf7c8q+FDszv4u+U8Rr9F0CR6HfFXYdeUkqYCrZp7/Ck75htH6dJjntkRSvfi30FNchnPFvWzBdfxGg/KhfIa/79LIFuhV03W9Uo1gUyefD1zt70rOZ1/P+su5NQjrjUPgF4FXgAeDVv7o+g7VJ3geezRrdSOPHCetMUil+ym/uZL6F8JFif0fn9eQX7ML+/tp5hfzLyPBl6hUU12Yf1POgsV9ng0dXSsmv+exL8qD9u3L83ImPNJ/G9+FnFOg70xf7iE0+xfoyyuumVmoY88Do42nubhG7pUM9ErgcfS6IR+AdEZc1vfv8mdze7/LLtPRIDuMY+GfUV57siLkymNZbGP/3xYZzXE9H3aVu0CsZtwzmteQTRxT2TuB+GtQhYT+wC/BXwMnA98Al6HNDnoS4gr451GOhv7Aj9O/8207ZoZ/0a9op5Z+e3HeGPlvkfYj7sHv0OwAHoG6FOA6+rovDhjJfD66Lwa+hXwN4DXE944Hvg2EO3KfVS9NRbYoV9xeWbTFtXm1O/vNRy76lh7j+h761yzJtf5Ydp3me8tZTOErrW5+TU3OE+35R98P7R99o81rlyP0h6F9DPRM8DngW4FDUtcGvvPhHX6mE5GvWX+q9agDXoayODhk2lOy228QZHo0pjJPBP7btcHi8OIl5LcQt8FJ123ptmBbAccjN50ufTe7M38SVbtJxc+K6C/AI8BfiFeo48N8Gsv7rB9uw3N5Ltv8YwPLDfxHoqwYfjLoy6sjoi8hcc/KJvBPPD/VA6Bf4Z+TZdXtPxz2n7+z2Ou46j/ap2W/QM8njPA/8D4JRY3pCjy+W3Fe6fmLF54zjXC87r65ve9aB+9yA/1VWtDqvOcF9wuCNbSfrHCv34joVrvtPVvL/Zs/4Evk94mSn5XdSgtvjotaTKlu6viHj6vfT1twnebnOovMyK67zvbsV9KgPjYsj/VYMofOzHTcXONhwPEUfyryDe54dJf0/6zrox0BP7h9CH+Xcj7seHnNhfNmgn//gtjv3+4z7ZntugQ/3MaJvA3WA5b1CzaWceH2oo6G/aHmF7LG+zsyno74L/h52gH5d8IU9P2x/4dyB50hf295pxHUVzCPxzI7N9l5ct4I+gH/EfKBf4FOgz1gH+nQdRza/3U3jrWfpKU9J/nJfdT5d6FCnQL0F/Wvoo0a+iO+inoD+XfxXALwPu4SfBk+IsbKo/k5YBPOi4NnAe4OfQv0M9T/sd58ED4MxTvxfE/oHwdOA3wP/hfgE3NR7+KvfdhGMa2+v671vUgjHA8wHvHjjMe2Waj/2UyMirylkd+DHpgeemffUnfvnoG/gy9Bf2NasNOIXybNtfILCb3c+Rh7uUm/8e5sTXwd/hu+smTQ8opsv16mR1wMv7bF9YBBIY4TvhLqX/tyfgedfhx2y3efB/XKo+0LeyKfRt4e6A/qWwD8DHyBu4T7URbC/qDcgH/0ZnqbTEsA4zapk5q4qF/Y334wrTZKOcN8K+pdTsnqeUyM/pj/BfbySiUhY1VO4XnBYJORUzjQopTj2bsDAh33p+vjiuE5t9JzZY42xD45yX1z5GvOfy8mfrHacfSuPnp+X4zp6FD1va7PzgqkZ+ZmN0mtkrbkesVar/Hk2vUdec6+eId33NlTmTj8L7gdatmiwaT9H3jf0m44/IirS9+P+UfDO0Df/t2JLFkYwPwseI1PSOOJwNOOyvoFvpY/HcZ8V8lXES/DhOMZ+IV9Bf+vDSwVP6jyZx0H/EuIV+oaUFI0PbbZifHFBeaFnpgv7MeRhyLvQxwD/gLiFfB55HXhi+OOufzdWensx3xs7d6OWR4e+P/gh+FXERdTnUc8HvgcfBr7CNLjPqzE0ajvl7XhwkueNPk/09f9v3MBz+B8CPHDnTrmmL+IYD+J/QvCkqGt3O1Lo8iiZ+VXwQMB38N/jJ4pdnHeS813EAdSpYIeoEwDHAJeD58d16x8XDlW4M95AvyLwI+IAcOp/+wD+31+jnwzywnzQvzTr4nSje4GMi8EXaCRttQmmfMLw7YwhT88y3wd+ZJ2S/fZVNIYt7W03M5V5b9SRU2P3HTsWyHgX/u545/Pbrjnzf1FWtu2RnuMS+tuSLJxT1Mnud9xrs1hkKhJMXqsrNJoxbkX/6U11tZBXR9m/wA+CXwLehD5JSutfukF5U73Vp7lW58l/Re/w8Ke8ZKl23ePcXOZ7wPPjf8EjPv1aVYIYtyHOg89AfwHsMaFg61InN65vwh9Cn2EvkDf8wHYJjaef4tm/RvaeVP+8g1+FPNFfhf7wzcFjqr9Gcl0UdWvUyZPiykbUpjJfj3ytZvvOLt4pXBcH/4b8fYl4i8LeMO4fQBxFnAV/geuI7+Ah0A+O+h/iB3A48BrwOPAa+n5gV+gfx39/qJ8iTqMeiePkdjfuy/EZeoH/lFHPR36JfUD+GSbpdWJGGu2766HTxzMZbzjLGJw5F8l4DnEYPDD6nPB/I/Ii9DVGzct59iSE66Z+Z+zmGHT4P0T2W3jYgHD2C9An8CTg4fAc6mXIf/HfM+I1/j+C/q2YIyeSdGV/Dr4W/Bf2DfVK8DdV0xoehkRxfRZ52uXZEy1bSD6Z5QZrS8muvgbuiIu4RPlBdlvd4ULO+1E3EcXGze1H9vUtotvbBaR/62NO7FvRgS85d+zoxd0pzJskjiqVq0vmPj21Ges2xNL3Z5b4DxxH+yP+uDT1TjblD4eGTFWm90cJ0uGTs7kut6TLsrsF5L9m5QcpqWWyP8P/ROiDwP+16M8F/gIvJbWh79ZR7txHiHwNx+BBUadB31BaskTZKGvO59H3AJyP+IX8bOXFoS4SHXAj5oN4/b//h6Oehf+JbQ7Lqw+mfRn/pvFYCMnz++Aen/VPs3zBP98vNta1LiI9uJH0pk8x84LYn7GTNu6LTOJ9Rv0GfeQmcpKP1X1ZPyEH9HsBP8JvQb7wZ/DL6JMAfob9ok8GuAo4FDgJ/e/QE9SdlBaffvWXxivnJ9l9OsP1VfTLoD8c/U1TDd6kupOeHvtiXmNM+ntw6+zxD2l09Eve3iuH642o2430HvO8E73/o9k9ozTSt011PewX5fKIeqZckvXOnTTuV76g9CiX62SxZwdmjcvnemjYibezPa+QHx3185VhCeGtW3p6dy+SvW6z+byH7CisfL+212WSz4aSwsdlJOc9WmrNdH77rL4JOiX8XLbmioNF9FzWn5rtFyiuDR1pu397EfOcJ0JPrZQ8w3XrdzorVmencxxA/XL1od9L15Nc85qtbm/NZPtSsZ3Q6Xsev088Sjfj9lnmSXvtKom/l8U8Md4Lfg51fPRxoW6Keh14QPgz6DX6O1CHQnzGvG6u39PPnY7zxv+s3ZbB8Qj1VNSX0E+DPBNxHHkd8mH0RyAPRN6FfB11Bvhh9P+cSr0oc5v0xMty7dPENJYvjpfaLf8nL4d5U8lVVy7W5HPd9F93Sftoq/CndXc57ffgf/9cFHaPG1Ay/Sq979t4qa5X2b/207veUFHCPDBG6F27lfmSflZqaAa8zeMRehsQ9nRgCOn9NIn9GW6kJxndq1eW5TNvi/pVy3vbaytiWZ7I59E/Ab7drKo52Yrk/3+me6sBAQAAAACAAADARAAA3BYAAA==eJx123vYTmXaBvCIUIpMiITsSr1RMUSbOzHStB8N7fgqoym70Wg3+hSpSQypSENpMxwapA1lV4pqLUpR2RW9lYjyliLhrca3nnfm555jdXx/rWM9z7PWuu/rOq/zPO/rXk+ls18YWmVDEkpKKy68Zn0SqpY/4d5aHyah0n8+bzH2iT0nf5GEob2nntt8axKumFzp1j9+nYSXdv686rYvk3DhhDff+OLzJBxZpX+7CRuTMKNkYaM9nyThh8G709tXJ6Hcj1tXjV+RhO8W3LF4wLokXNr9zLd3fpqEo5dtDlOy311ee+57BxTHo+snzbyk2nvZ89IF80Yf9G0SuvX+pObifUm4t9WrEw+skIYmE/aNvePHJJw0uUPHfdn568PGFl1dPg3Hd79twqg9Sdi34ppFLx+QhhOKl56+o1IaZg17pkbRYWn48eF2PWr9Kg3Xz/5q0Is10/DR/Uc8cE3NeD568IjOt1ZPwx+LJr574UFpuKVfhY03/5yEahPq3frb7D6bqh00+fZqaZg/YvsbM2un4ajJPZu/nf3+5KYPbu19RBpqFW9utCi7/4gF1c7qkx27l7RceGz2+2b1L26z+eA0LFt6+boPsnHcuvPSezdUTUPZ8A6M83m6/abr5pVLwyOlf+n6QPb7VV3O2/x15TQcvPYfA8/Izi+Zel21Odk8jeeh9uUuuPvQNNzRvn6ri+uk4a2Lpg9pXz8Nx059Yv15deM4vr9o4PNPZfOp2X38kO5ZvOYOvnDwJ3tifMXrrkGdx/1wULx/v5Iaq6/MxnfVzKcXt87G27npzeUnVo7zLgt/Fodt3Vacu/2oNLx5/8m3nnhMGsYtvmTHV/XS8GqX69+en8VlXrnHG3TOrlvaoUqr/lkePb9v7yUtd+1MQp2xrxT//F0Srt68stH6vUk4q3hGt2Y/JaFsWtnvP6z8xrbSimn4dc8F51bN5t+h908//u2QNOxa81q3KrXS8NPRI8sPaZSGQzoc9ttHbkhD38OqL3/v8zQ8d/+FPfYWpeGdTZP6Dzj/9dD38TFp1UsXhbWXrK5wye75oc3N9Wvuu3VeePuEteuvO35emDR2zZE3nT0vFFf4pPWQW+aFabMfymaShAmDms86PssPPMCHvDy2YMflkyvFvIqPOO5c2qDq6buTsHXxx5cvzOrHeSG70yrGvDgXZ/m9pt8xWegijr6t1eXin46M+BUPePE53P8zy16Dw9Pwj3IvV6yR5ePPrTYMXZHh8qnBfa+eUSHiHf6ubHpZvXd/ink6YmWndd9+n4SsyKe/sD2O/5tstC1Lk/B+++kTG34VeQAvbFgwaVr7TUlIWl2/9fGs7kdufrhbx42x/k+t/mDF87PPlw8+edyvsrg0X3nsjiYZrzzf6p53+5YkoWXt7x57ZFes8xtnjlp/fYbTPSMeqXFuNh75WTesANxk//zhFo7K6Cv7/oGMJeZ+k4S/zhyw69Hv43WLFtdu1rVizJejOvx8xIt7jsieO6xk1zf3747x+G3Px3qd9cMv4/M/PYcOuSmLx7+6HF6nW4brV9qnQ0t2xed9sLg03Ls31p3876325dxns3GrA3F5efYt6+/5Io4/z8P3T63W4+Isnp8NPmLWOZ8lYWDT09qU/y4+Xxzw6DGbj1195tFp6N9tyKyXrk1DIfvnLEv31+H/Fg3ZelfpkjDpwAqDvt/zSig9+P2//eaD+WHveaNKm2T1UqlZ25Ezfz0vdKq9au7y7PmLB23/7MHPY357rm257tBMT17s90zLGh/F8ZnHzEFVl/bM4lS39mF3/6Fc5EH5w9t/29n2yerlYh7lnQ6IF355pvSq/m/+K+JG/Fx3Uf1afS7YGfFFZ+BzbWmjJ0/ckoQn+r1Vs3hzjJ/xDp5a1LHetmT/vB8uWZcxU9RH+D30vtuzCCah7OcbY/4d4RYOdnRYcd3qLTGOeOLjDiXnP5mNd2O53l1nfRvzns//gqJmbRqsTcLdk9+ZvmJ1jPeW9qPnXFocdfe5ma2bV/w4CeeuPX/Rh1keQvcrn3+1JMZH/cO5epOP2R2a1Wl3SMSr/OH1IbPfGf1llaijeMx93B8O4bRP8Y0jx2yK4xTPe5oWCC/G23yNt8rFXd9eUxpx9G/cJuGdcne1G/xTsv8cPtS179Xv74vHDLzi24gPdfbkzroLO2X5OqNo1cQvsnqpWNppcpMeaRh/2Jp97ZanYUz9V+d+mfmbN2fW7tjuvSXhxoZNDnnktVfC+79+6E8vzZ+/X1/xI9y5P97wXPVbYPdBWT5fK5l8etGq6Me+Htbt6qVfxTqCLziHJ3X8m2y0rfbGefge/zk3TnGGD35MXtSzeoGv8b1H9OqxIf7euBz/NPmrsZOyeWU3+WbmxzHf6uDmzbNPr/ZNzKf8OKeL/IlzvE2H+RS/8/knF42eMKBG9CmXDRp69ZjMJ+HBKSOqzritceYfen5fc0qd6O8cD+j+Qq/G1aMewFuFsR+9seznOH5xoWv0z/f4Bg4OrDKyQa/s89Zrb5gydUfkLXrDt/Fx/Qf1GrykRpz/VyvuyIYe65PuqbvhpQXDm4ZzZr457YDML6xeMWnkpUdGH+BzvsJR/Dz/9KnDd915WPQ17stn8tXOSz5usP33J6Th2jWjnnz0+jQ0PmXmxtFZvfSrsveJP87O5jd10hsNn1uyP198cT6PdB8O6KX6x794t9F9PTs/vyEe4U8e4FV+7iy+dMqSbF1yU89eE54ujt//vPi1jIkj/6g7eZMvvPdllxb7jslwAA94W33zjeLqOj7K790HP/IB6pNvMr98PdEFeMNvzn3Pz4qnI13F88Yr/sYzqt+WH//5XeQxfMT/0S+8R2fK4LU9+nrPpeMPzn5u2tGZfr+wYPWg97PxWe8YF58KF9YFDdb+deSN2XWPtnpqTts9kT/oGN+FZ+l5Pp54T57/UH/v8GFbIs6sVzyHrtEPOo2P8bD8iqP54ZUfehz+05+apuHT+bsHLrsxDdOu+qxHi40x7vyPda71Bv9Oj/EhH4Uf8AHcGZcjPMsrvsfr86euHjsvTUK9s8dPPGNlEmos+cfoxmviOt/R549v/svAW7Nj7bvqjTvpgyRMbFquT58Po77Bh7oVZ74ZnumJ692XPk7v3XfIA9l46DDf43pHvrTj2OE1rvso9iMOWnjN+qeWR529oPrNDYZmx0Nu/+izZ5cloeiufc/8IZv38NpDKt6QJOHV3oWVTRIe6r7lyLGvZH5n5ezLd81Pwj+L6647fnESnm26afjkd5LwY/uB7454P94X/6gTPpDvlUc+Be7hHQ78Xr7xDV+lrvANPqEn6pmOqfOGZYY96kI2+OJPD4l9EetN/Qy6AP94wXrR8/AYvcLrnmddS1+sn+mSdextZcY7rue3Ttk9+tkz4vj0XSrWPqHPSYdGHVQPzvPrCXUsH3jRelqc9ZV8L47mI47qWv3LO57B1/xQQXXq/hcONxWV3HDvq0kouJXhryWh1o9vf7Ps9STMmvxQcdtFSbjmvkrjLsjwNmLtrkNueT3ivnyB7oqjj6UX/AQfyG/hYb+jb9bt+NB94bjs4wzXawqz/K/667ry66aj30vCnM1XjZzxVhLa3tchg0TUUX1E8xUPftO6ih+lm3iYbsmTdYPP6RA+oTf42nqCD6YD9JFO0B/1B5/qk17BFd3hB9WFfuCnaz4+ffUxabh72Jbi15tGns+Scd2ko6Kf4t/onDzl65iu8T/ig1foFJzxU/pA9BJu1QWeMU967HP6ob7Ux++K5s6pWyP6a7whPupfveSv07dUx/xtvv9J74zHfY3fufz4nXmIHx04sYxQoz7ha/z/l/obHntxfTzyMXAJL9ZR+mD6ZnCHD/GOuOd12P2d6zvAt34C3jAPOHe98eId9cXvLCmU145friPVn3Um/Vf/9gfot+d7jvniSfHJ40ifu/Ky8s0GbvtlXYsvH+IofvzM/v7Vf/CC/9WfPOB3+VEfnmf8PscL8kpX8zqiz6S/wI+qN3povSe+jas/u612SZwn/qAzeIDPw0f5c7/DH/T5tRXzBjZsEtdhvle3eM2RX7AOMS/1hNc81/d0UD5dj7/NR77oIz41frwizny6+Hke/sAv1qnG53nGTYetr/l6R+tCeuFcfvhT+DEO+IJrPOVcnxl++AB1ah2gXuCfPvK/xv2rc78/ZeTm6I/hST17jnPzoeNwTU/4NfVi/0RfYGW1xnefc1TEE3yoZ3mho+rY+I3DPg0/J1/iZR/N85+t/K+5Dx4d93GMQ33bv1BffCidtd90wc4xXW9qEvXVPPlN43If/tL19Kjgjv58eOxr2FfTBxxT7sNtHzdIQ9t+V477sGHkI887v9+Zsw6tGfsk9BHu+fa8z6fT8A7f1gXwp67FT3zoS74/rj7Umz4o3uK//z7srT2768R9PPPRn+HjjUfdep750AH6l983dD/XWd9YP1uPwj/dcbSuy/cX+VZ+jx/mD+kqPeD/PFed8M38lzjhf3zo9/n+qTqnM/LofmXbk7ujj833g+kdvpT3fN+DLsE1n2TfML/fi7fpI7+U7yfiWfmHr0LVTqj3y74iP+f36kZdDSid3aB5Vtfra/VuszSrzxvan1anXtNYT/l9SfXt3DzhDV7z/dk3Kn/2XnJ4HL96w0N4QHzMCw/gQfMzDnwhnuIG1/bB8Y/+Mh5zP+t3eVKv9Ir+5Pvo9IM/gRN6h1/zuDBP8ZEvR/xp/uZrfPZz8BJ85PtQ1vs+Nw5+Fv6sW+ibOqP7eEB90d/8Pg3dcc7HipPP+Su6B/f8t/jQO3GhR2XL2Ay3Cwvt92PTcGJhed4sDRMrF5gsDV1nV7pi2DFx/4B+HF6/f73na0W80T15gAfPpQ++h1d1RW/UzRcF+53h69qdN/Z/+shYV/AHx+5Db+s1ffbdkxvGcaof+3V+r47oLz3M64hxw4ffuy884TFxdx98KE/wKA+up6d4ZOTS50a2PSUNNy99Z+CBZ6ZheY/zllY6Ix5bDCrsiKah0EU97eSYr/IFmm+Rht2brnlyTes0XF66suKuE2N+5dPzvb9iXvhIXTjSPXExXvUNz3DOJ8q3++OLcsXlswpJQ6E6rj0u+iK45G/gAh74fviSl/w+zfb7d08fXyX9xT6pvhh94vOMly7z+458KN9s/xx/qVfzz/dX5BkfwyMcwm3HQY91vuL4NFRqunzOzyekoXYB9o0jf+En18sjv5HnN7xOL+isvoN+hbzzeerLuTo1jvx7YerEPp7x4AfrM74Pf8KH761DrB/UTf59HP7D+tnv8a06zK+j6BPfyJ/Br+vxrHWGdYv+guscjYt+6T/wI3wNnhI/ecDffJHx823W1/DJT8EznnEfuMvngf+ds/SWRY/XjbjLr6flFV7gBP7gS3zhTJ3bZ1bnZXT1X3WMB9Q53vN7umT9wZfxUzWmvpI5gMhvGanNuDLjxbk9rp/1QZc0ZOS3/dTfpGFmFp3fhTRki8aJy9qmYcaK1d1KWqbh4RU7Tp93WhoalwErDZe2v2zflpNi/5K+0U+6Yd7iwS/jG0e+zPrS5/Aib/xAft8NzrxvxU/gKXhVF3iHb+K74da6mn/Xt+bD4Ape+Rx1k68X6yN4ca6+zAcveq+F/zM+62rjsf7Br/ot6sK6Du74ZP1V/IOv8HB+v5+OyYt8eo66sW7V34FbeNxy9LStXVpE3R3f5akJlxSloermTgsPbh79yuNLH5rSt1nErXUDnJlPfp2pjj0fv5u33/PX+EufQnz1T6035YOuWV/hYzzPv9EBda0+b+ow5O1Hs3mXXX5C9Bn8YlKr0ICO817TrTCBGB9x0dfDE3xo3hfwA75v1K+wc5aGM2c3OeuCE6N+vvzw2GqD20ReGHVRuYyC09B6wfB1fz87DRcXTjum4faCjJ4WecF9rW/gCV7wuPU/f5Hfx6Bb1g343HoGX8LpixelvQ46PvIwfra/Ylx3Lh6w7qXjIk/Zd5ne5Z7n72kY8+W++BiO1A984TV+lm/mS/gMPtB96Ax+g191ZL0tTnjJeonvwl90E2+oe3wonsaNZ/Lvj9BtvOZ9DXzie31xfRb7794v/Pf7bnF//NOdrxcisn9f3j7fKWVEEfcJ8/t+7u/59iXFIb+fie/xMfzgYT5OvVsH4wX6Dkf6Z/wynqZb+J4eiT+9wdPe3xQ3foT/olf2cczXfou4eT9B/PwvQp7wk+foe3kvwvurxqf/C1/591D830Oe7Osah+8dvd/hPSnvT9l38r4UPeX/C1Vw5ufx/Va6Jy7594hdx19a3+Nl535vf0o84dU+n/iYhz4hPdU316/nK/W99S/4BTh1dJ26FV9H38uPfDrKE3zQJfu7+ozqQR9FXvWT8Y59XP0y41A31nvwwC/n9/XwATybh/1B7zvKvzqQf/st+fo17vx7tsZlvcBvqEv8ap3gyHdaN6lffQY8wRfqy+bzAl/wgRf09/h7+sQ3eT5fK+7Gazz43hFP4Wl5hSu+xLlx598L52ecW4fbN/J9Hj/6avBNb4yLftvnozuul084VS/591f5RPoqD/qo/AHd8jvXia+4up6f4NOsK/GN99W8t4LXbuhecGxJWFFUqIwk3NG9wr4rl0UdW9/qvPKrViUhK5Zb7v4gnsM9Xilk8cLlSbi2+mXt5ixNwmVjr8tGnISy18I+ijjynsG3rVrUq5w9Z0Dtidtavx/f08Dr8mYe+jDiI17iIU76PPSPz+DL9C/4Yt/7vXWcc3GXD3GmZ9ZT9IJemS/+xW/mg8fUO57AM3CKD/GVdZ3nep/J93C9u1yX/hs3Rf5yf7xKF9WbuuTv4R3/eI5z41Zn6jOvG67jC/UX+EV+EH/l/yeor5vvC/N3eNJz1AMdMK/8e3h8jHnCke/xjLzRWfxNB/gz/kh8/M658eR9P1/s+dY1BTde7bjYd9Hv0Bfh+8VH/DxHXuEIn6tb62u65P0W76uNK2676IesngetrZFJWfSt8IwH8AseVJ/5/bhTd85od1a2viuw60etYp9e/9K8rEfUsz4fnXTM91vVI/zZ3/S9PMOJeOMB6xify498iWf+/7f6AtZ7+Mc+uT6AvpW8WR/TVX0EuOdbxA/f01nrTd/TdzpjXZXnMXGCb74z/z5g/v9D6oc+ioc8O8dP+gtwQTfz/6sVb+tP/0uxnuU38u8fuh982M/K9+fpuj6VOOJzuiBeeEGczMPnrqMTcKMPal75/xfhC3xuvWQdJT/5dRp/ZT8g/z9f/QjvAef7k/ZN9Cngz/6Ofon1PJ7BK/Zt7HvJj36M+3uefTn9G8/BZ/oH4i5v4gxfeMv/NcTp/+uD8gd0iO+wvuSv+cW87noO3TIeep3/f7i4yIv9MX1ncXXUfz6y5K/9R52Shj6LRy26q3XsC8oPvMsznbSeofv5/Qy8lNcZ8cVneV4WD/Wrf6su4Z1Pggv9NftOZX9rahzzT7fwmniJh/3Io2fuG/RIy6gPxxV9N/SF5jGe+BTe9QP9r8px7IjmD3RqGe9HV/T5xN9+aJ0yYUvDS2tqZwqfhkP7jb/6xlNjH/D3i5+ecuFZaQjtC8iI+6vNyxqsv7yusOpr0Trux+pz6leKF31Xh/Y17M+pF/WVgT1bkMX7qSt9UnHXJ87ri/059Sv++rT6gPhMnugJX0Gfjcs85Jke0UN4xav591rz793Ds/WWo3rH33iY3urn67Mbl3P51zfVh9Z/71T69bbXsjw+UG1wmxlnxjzv6ftC5zM6paFvlw29vuwY+dXv4Qz/Otd3lTdHuIV7PGA8+rbGDffiaT3v/Ql8rZ/7fzQAnVA=AQAAAACAAADkbAAAaRgAAA==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CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Lambda/Lambda_8_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="1035" NumberOfCells="968" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="49001" RangeMax="54168" offset="0" />
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+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0389" RangeMax="5.9775" offset="1524" />
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+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.0315" RangeMax="4.9775" offset="2124" />
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+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0042148" RangeMax="0.0083728" offset="2468" />
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+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.093491" RangeMax="0.18572" offset="11652" />
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+ </CellData>
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+ <Points>
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+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.6748189645" RangeMax="7.8102496759" offset="19508" />
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="22688" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="29228" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="31024" />
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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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_AQAAAACAAABAHgAAYwQAAA==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AQAAAACAAABAHgAArwEAAA==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AQAAAACAAABAHgAA7gAAAA==eJw77m3e6agg4HB8lKYJPbHut1WB3yhNK9r+2J2tLTWjNK1ozp8L0jevGqVpRe9waHp0/MYoTSu6qdhtyjc2wVGaRrTBbnV+btNRmlb0PSbOLvnkUZpW9ArTs9Z+E0dpWtFhteu2Je0fpWlFK24oypj4dpSmFX3+e/DjpdJCozSN6JlaElOveI7StKLdi37yvywfpWlFCy3de1B82ShNK/rAm3k2OldGaVrRwEbwuygm4VGaRrRFuktmvsEoTSv62TrVJ81xozSt6I0PX07d1DNK04qO1zwtcHzXKE0rWjOm/9DXF6M0rWgABYaRLQ==AQAAAACAAABAHgAA1RoAAA==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AQAAAACAAABAHgAA8BYAAA==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AQAAAACAAACEMAAAPwkAAA==eJw90s/L2HMAwPHnsLQDxcHBYQdCoRxclJWWHZbs6DDlMEVxdEAU7VfPeNjTZpuHPTaTxWI0bTLzIw4OUytbesqkhIxWJlMjJXt96/15n15/wHvt7IZVJ+/esGrmUosXNw6fe3jz8MozW4bn7pkdPvPJ1uGbb31u+KnX5oZPXPnC8DWbtg0/cmF++KMHtw8vX9oxvG7NzuGDx3YN/33TS8NrFheGFy5/Zfjs03uGbz+/ODy7fu/w0ql9wzeu3j/8+NHXh7+84Y3hqxcODD+0/M3ho0++Nbzs3MHhe+9/e/jAyXeGL9z57vDqw+8N77z28PBPL74/fNuyI8ObHjs6fPqXD4avW/fh8KMnjg1/ccfx4asOfTz8wIpPhw/PfzY8M/P58NpLb3x9fONkb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG+cvmXzZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvfPPqlsneyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3li6YnayN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sje+fWbrZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvfHf+2cneyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3vh+/dxkb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG/8cOr5yd7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sje+PGubZO9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvfHzkfnJ3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN44e/32yd7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sje+G33jsneyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3jh32c7J3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN74/Yldk72RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG98cevuyd7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sje+PP+xYmeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3vjr69enuyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjYsr90z2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9sY/hxYneyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3vj3xV7J3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN747/5fZO9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvZG9kb2RvTEzs3+yN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I3sjeyN7I38v9K0PqmAQAAAACAAAAAeQAAFhMAAA==eJxd3UPUIEcDRuF09zeMbdu2ZmLbnNi2J8nEtpOJbXti257YNudf/PUs6u3Ne849d303dbpqpJH+/zVlZys7a/C27Ozh4V3ZOcLDe8rOGR7eq+xc4eG9y84dHt6n7Dzh4X3Lzhse3q/sfOHh/cvOHx4+ctkFwsNHKbtgePioZRcKDx+t7MLh4aOXXSQ8fIyyi4aHj1l2sfDwscouHh4+dtkB4eHjlB0YHj5u2SXCw8cru2R4+PhllwoPn6Ds0uHhE5ZdJjx8orLLhodPXHa58PBJyi4fHj5p2RXCwycru2J4+ORlVwoPn6LsyuHhU5ZdJTx8qrKrhodPXXa18PBpyq4eHj5t2TXCw6cru2Z4+PRl1woPn6Hs2uHhM5ZdJzx8prLrhofPXHa98PBZyq4fns7q6YZlNwiupxuFh+vpxuHherpJeLiebhoerqeDwsP1dLPwcD3dPDxcT7cID9fTLcPD9XSr8HA93To8XE+3CQ/X023Dw/V0u/BwPd0+PFxPdwgP19Mdw8MHlN0pPFxPdw4P19NdwsP1dNfwcD3dLTxcT3cPD9fTPcLD9XTP8HA93Ss8XE/3Dg/X033Cw/V03/BwPd0vPFxP9w8P19MDwsP19MDwcD09KDxcTw8OD9fTQ8LD9XRweLieHhoerqeHhYfr6eHh4Xo6JDxcT48ID9fdI8PTWT09uuxRwfX0mPBwPT02PFxPjwsP19Pjw8MHlT0hPFxPTwwP19OTwsP19OTwcD09JTxcT08ND9fT08LD9fT08HA9PSM8XE/PDA/X07PCw/X07PBwPT0nPFxPzw0P19PzwsP19PzwcD29IDxcTy8MD9fTi8LD9XRoeLieXhwerqeXhIfr6aXh4Xp6WXi4nl4eHq6nV4SH6+mV4eF6elV4uJ5eHR6up9eEh+vpteHhenpdePjgsteHh+vpDeHhenpjeLie3hQerqc3h4fr6S3h4bp7a3g6q6e3l70tuJ7eER6up3eGh+vpXeHhenp3eLie3hMerqf3hofr6X3h4Xp6f3i4nj4QHq6nD4aH6+mw8HA9fSg8XE8fDg/X00fCw/X00fBwPX0sPFxPHw8P19MnwsP19MnwcD19KjxcT58OD9fTZ8LD9fTZ8PChZZ8LD9fT58PD9fSF8HA9fTE8XE9fCg/X05fDw/X0lfBwPX01PFxPXwsP19PXw8P19I3wcD19MzxcT98KD9fTt8PD9fSd8HA9fTc8XE/fCw/X0/fDw/X0g/Bw3R0ens7q6UdlPwyupx+Hh+vpJ+HhevppeLiefhYerqefh4fr6Rfh4Xr6ZXi4nn4VHq6nX4eH6+k34eHDyn4bHq6n34WH6+n34eF6+kN4uJ7+GB6upz+Fh+vpz+HhevpLeLie/hoerqe/hYfr6e/h4Xr6R3i4nv4ZHq6nf4WH6+nf4eF6+k94uJ7+Gx6up/+Fh+vpiPBwPXVgMyK4njZN7eF62ja1h+tp19Qerqc9Te3hetqrqT1cT3s3tYfraZ+m9nA97dvUHq6n/Zraw/W0f1N7uJ6O3NQerqejNLWHDy87alN7Oqunoxc+WlNzPR2jqT1cT8dsag/X07Ga2sP1dOym9nA9HaepPVxPx21qD9fT8Zraw/V0/Kb2cD2doKk9XE8nbGoP19OJmtrD9XTipvZwPZ2kqT1cTydtag/X08ma2sP1dPKm9nA9naKpPVxPp2xqD9fTqZraw/V06qb2cD2dpqk9XE+nbWoP19PpmtrD9XT6pvZwPZ2hqT1cT2dsag/X05ma2sP1dOam9nA9naWpPVxPZ21qD9fT2cLD9XT28HA9nSM8XE/nDA/X07nCw/V07vBwPZ0nPFxP5w0P19P5wsP1dP7wcD1dIDxcTxcMD9fdhcLTWT1dpOzCwfV00fBwPV0sPFxPFw8P19MB4eF6OjA8XE+XCA/X0yXDw/V0qfBwPV06PFxPlwkP19Nlw8P1dLnwcD1dPjxcT1cID9fTFcPD9XSl8HA9XTk8XE9XCQ/X01XDw/V0tfBwPV09PFxP1wgP19M1w8P1dK3wcD1dOzxcT9cJD9fTdcPD9XS98HA9XT88XE83CA/X0w3Dw/V0o/BwPd04PFxPNwkP19NNw8P1dFB4uJ5uFh6up5uHh+vpFuHherpleLiebhUerqdbh4fr7jbh6ayebld22+B6un14uJ7uEB6upzuGh+vpTuHherpzeLie7hIerqe7hofr6W7h4Xq6e3i4nu4RHq6ne4aH6+le4eF6und4uJ7uEx6up/uGh+vpfuHherp/eLieHhAerqcHhofr6UHh4Xp6cHi4nh4SHq6ng8PD9fTQ8HA9PSw8XE8PDw/X0yHh4Xp6RHi4nh4ZHq6nR4WH6+nR4eF6ekx4uJ4eGx6up8eFh+vp8eHhenpCeLienhgerqcnhYfr6cnh4Xp6Sni4np4aHq6np4WH6+7p4emsnp5Z9ozgenpWeLienh0erqfnhIfr6bnh4Xp6Xni4np4fHq6nF4SH6+mF4eF6elF4uJ4ODQ/X04vDw/X0kvBwPb00PFxPLwsP19PLw8P19IrwcD29MjxcT68KD9fTq8PD9fSa8HA9vTY8XE+vCw/X0+vDw/X0hvBwPb0xPFxPbwoP19Obw8P19JbwcD29NTxcT28LD9fT28PD9fSO8HA9vTM8XE/vCg/X07vDw/X0nvBwPb03PFxP7wsP19P7w8P19IHwcD19MDxcT4eFh+vuQ+HprJ4+Uvbh4Hr6aHi4nj4WHq6nj4eH6+kT4eF6+mR4uJ4+FR6up0+Hh+vpM+HhevpseLiePhcerqfPh4fr6Qvh4Xr6Yni4nr4UHq6nL4eH6+kr4eF6+mp4uJ6+Fh6up6+Hh+vpG+HhevpmeLievhUerqdvh4fr6Tvh4Xr6bni4nr4XHq6n74eH6+kH4eF6Ojw8XE8/DA/X04/Cw/X04/BwPf0kPFxPPw0P19PPwsP19PPwcD39IjxcT78MD9fTr8LD9fTr8HA9/SY8XE+/DQ/X3e/C01k9/aHs98H19MfwcD39KTxcT38OD9fTX8LD9fTX8HA9/S08XE9/Dw/X0z/Cw/X0z/BwPf0rPFxP/w4P19N/wsP19N/wcD39LzxcT0eEh+upHxpHBNfTpq09XE/btvZwPe3a2sP1tKetPVxPe7W1h+tp77b2cD3t09Yerqd929rD9bRfW3u4nvZvaw/X05Hb2sP1dJS29nA9HbWtPVxPR2trD9fT0dvaw/V0jLb2cD0ds609XE/HamsP19Ox29rD9XSctvZwPR23rT1cT8draw/X0/Hb2sP1dIK29nA9nbCtPVxPJ2prD9fdidva01k9nbTwSdqa6+lkbe3hejp5W3u4nk7R1h6up1O2tYfr6VRt7eF6OnVbe7ieTtPWHq6n07a1h+vpdG3t4Xo6fVt7uJ7O0NYerqcztrWH6+lMbe3hejpzW3u4ns7S1h6up7O2tYfr6Wzh4Xo6e3i4ns4RHq6nc4aH6+lc4eF6Ond4uJ7OEx6up/OGh+vpfOHhejp/eLieLhAerqcLhofr6ULh4Xq6cHi4ni4SHq6ni4aH6+li4eF6unh4uJ4OCA/X04Hh4Xq6RHi4ni4ZHq6nS4WH6+nS4eF6ukx4uJ4uGx6uu8uFp7N6ukLZ5YPr6Yrh4Xq6Uni4nq4cHq6nq4SH6+mq4eF6ulp4uJ6uHh6up2uEh+vpmuHherpWeLierh0erqfrhIfr6brh4Xq6Xni4nq4fHq6nG4SH6+mG4eF6ulF4uJ5uHB6up5uEh+vppuHhejooPFxPNwsP19PNw8P1dIvwcD3dMjxcT7cKD9fTrcPD9XSb8HA93TY8XE+3Cw/X0+3Dw/V0h/BwPd0xPFxPdwoP19Odw8P1dJfwcD3dNTxcT3cLD9fT3cPD9XSP8HA93TM8XHf3Ck9n9XSfsnsH19N9w8P1dL/wcD3dPzxcTw8ID9fTA8PD9fSg8HA9PTg8XE8PCQ/X08Hh4Xp6aHi4nh4WHq6nh4eH6+mQ8HA9PSI8XE+PDA/X06PCw/X06PBwPT0mPFxPjw0P19PjwsP19PjwcD09ITxcT08MD9fTk8LD9fTk8HA9PSU8XE9PDQ/X09PCw/X09PBwPT0jPFxPzwwP19OzwsP19OzwcD09JzxcT88ND9fT88LD9fT88HA9vSA8XE8vDA/X04vCw/V0aHi4nl4cHq67l4Sns3p6WdlLg+vp5eHhenpFeLieXhkerqdXhYfr6dXh4Xp6TXi4nl4bHq6n14WH6+n14eF6ekN4uJ7eGB6upzeFh+vpzeHhenpLeLie3hoerqe3hYfr6e3h4Xp6R3i4nt4ZHq6nd4WH6+nd4eF6ek94uJ7eGx6up/eFh+vp/eHhevpAeLiePhgerqfDwsP19KHwcD19ODxcTx8JD9fTR8PD9fSx8HA9fTw8XE+fCA/X0yfDw/X0qfBwPX06PFxPnwkP19Nnw8P19LnwcD19Pjxcd18IT2f19KWyLwbX05fDw/X0lfBwPX01PFxPXwsP19PXw8P19I3wcD19MzxcT98KD9fTt8PD9fSd8HA9fTc8XE/fCw/X0/fDw/X0g/BwPR0eHq6nH4aH6+lH4eF6+nF4uJ5+Eh6up5+Gh+vpZ+Hhevp5eLiefhEerqdfhofr6Vfh4Xr6dXi4nn4THq6n34aH6+l34eF6+n14uJ7+EB6upz+Gh+vpT+HhevpzeLie/hIerqe/hofr6W/h4Xr6e3i4nv4RHq6nf4aH6+lf4eF6+nd4uO7+E57O6ul/Zf8NrqcjwsP11IW/I4LradPVHq6nbVd7uJ52Xe3hetrT1R6up7262sP1tHdXe7ie9ulqD9fTvl3t4Xrar6s9XE/7d7WH6+nIXe3hejpKV3u4no7a1R6up6N1tYfr6ehd7eF6OkZXe7iejtnVHq6nY3W1h+vp2F3t4Xo6Tld7uJ6O29UerqfjdbWH6+n4Xe3hejpBV3u4nk7Y1R6upxN1tYfr6cRd7eF6OklXe7ieTtrVHq6nk3W1h+vp5F3t4Xo6RVd7uJ5O2dUerqdTdbWH6+nUXe3hejpNV3u4nk7b1R6up9N1tYfr6fRd7eF6OkNXe7juztjVns7q6cyFz9TVXE9n6WoP19NZu9rD9XS28HA9nT08XE/nCA/X0znDw/V0rvBwPZ07PFxP5wkP19N5w8P1dL7wcD2dPzxcTxcID9fTBcPD9XSh8HA9XTg8XE8XCQ/X00XDw/V0sfBwPV08PFxPB4SH6+nA8HA9XSI8XE+XDA/X06XCw/V06fBwPV0mPFxPlw0P19PlwsP1dPnwcD1dITxcT1cMD9fTlcLD9XTl8HA9XSU8XE9XDQ/X09XCw/V09fBwPV0jPFxP1wwP19O1wsP1dO3wcN1dJzyd1dP1yq4bXE/XDw/X0w3Cw/V0w/BwPd0oPFxPNw4P19NNwsP1dNPwcD0dFB6up5uFh+vp5uHherpFeLiebhkerqdbhYfr6dbh4Xq6TXi4nm4bHq6n24WH6+n24eF6ukN4uJ7uGB6upzuFh+vpzuHherpLeLie7hoerqe7hYfr6e7h4Xq6R3i4nu4ZHq6ne4WH6+ne4eF6uk94uJ7uGx6up/uFh+vp/uHhenpAeLieHhgerqcHhYfr6cHh4Xp6SHi4ng4OD9fTQ8PD9fSw8HDdPTw8ndXTI8oOCa6nR4aH6+lR4eF6enR4uJ4eEx6up8eGh+vpceHhenp8eLienhAerqcnhofr6Unh4Xp6cni4np4SHq6np4aH6+lp4eF6enp4uJ6eER6up2eGh+vpWeHhenp2eLienhMerqfnhofr6Xnh4Xp6fni4nl4QHq6nF4aH6+lF4eF6OjQ8XE8vDg/X00vCw/X00vBwPb0sPFxPLw8P19MrwsP19MrwcD29KjxcT68OD9fTa8LD9fTa8HA9vS48XE+vDw/X0xvCw/X0xvBw3b0pPJ3V01vK3hxcT28ND9fT28LD9fT28HA9vSM8XE/vDA/X07vCw/X07vBwPb0nPFxP7w0P19P7wsP19P7wcD19IDxcTx8MD9fTYeHhevpQeLiePhwerqePhIfr6aPh4Xr6WHi4nj4eHq6nT4SH6+mT4eF6+lR4uJ4+HR6up8+Eh+vps+HhevpceLiePh8erqcvhIfr6Yvh4Xr6Uni4nr4cHq6nr4SH6+mr4eF6+lp4uJ6+Hh6up2+Eh+vpm+HhevpWeLievh0erqfvhIfr6bvh4br7Xng6q6cflH0/uJ4ODw/X0w/Dw/X0o/BwPf04PFxPPwkP19NPw8P19LPwcD39PDxcT78ID9fTL8PD9fSr8HA9/To8XE+/CQ/X02/Dw/X0u/BwPf0+PFxPfwgP19Mfw8P19KfwcD39OTxcT38JD9fTX8PD9fS38HA9/T08XE//CA/X0z/Dw/X0r/BwPf07PFxP/wkP19N/w8P19L/wcD0dER6upx7MHRFcT5ue2sP1tO2pPVxPu57aw/W0p6f2cD3t1VN7uJ727qk9XE/79NQerqd9e2oP19N+PbWH627/ntr7H4UbnBE=AQAAAACAAABAHgAAMAUAAA==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AQAAAACAAADIAwAAEQAAAA==eJzj5BwFo2AUDHUAAG+sIgk=
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/Surf.pvd ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="Collection" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <Collection>
6
+ <DataSet timestep="300000" group="" part="0"
7
+ file="Surf/Surf_300000.vtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/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 0.18
13
+ variable Ma equal 6.3
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/Kn0p18/simulation0344_Kn0p18Ma6p3/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
+ 2 0.499753280182866E+000 -0.157053795390643E-001
10
+ 3 0.499013364214136E+000 -0.313952597646568E-001
11
+ 4 0.497780982301540E+000 -0.470541566592573E-001
12
+ 5 0.496057350657239E+000 -0.626666167821523E-001
13
+ 6 0.493844170297569E+000 -0.782172325201156E-001
14
+ 7 0.491143625364344E+000 -0.936906572928624E-001
15
+ 8 0.487958380969374E+000 -0.109071620698271E+000
16
+ 9 0.484291580564315E+000 -0.124344943582427E+000
17
+ 10 0.480146842838471E+000 -0.139495553019615E+000
18
+ 11 0.475528258147577E+000 -0.154508497187474E+000
19
+ 12 0.470440384477113E+000 -0.169368960122646E+000
20
+ 13 0.464888242944126E+000 -0.184062276342339E+000
21
+ 14 0.458877312841991E+000 -0.198573945317390E+000
22
+ 15 0.452413526233010E+000 -0.212889645782536E+000
23
+ 16 0.445503262094184E+000 -0.226995249869774E+000
24
+ 17 0.438153340021932E+000 -0.240876837050858E+000
25
+ 18 0.430371013501972E+000 -0.254520707875186E+000
26
+ 19 0.422163962751007E+000 -0.267913397489498E+000
27
+ 20 0.413540287137281E+000 -0.281041688926065E+000
28
+ 21 0.404508497187474E+000 -0.293892626146237E+000
29
+ 22 0.395077506187845E+000 -0.306453526826488E+000
30
+ 23 0.385256621387895E+000 -0.318711994874345E+000
31
+ 24 0.375055534815230E+000 -0.330655932661826E+000
32
+ 25 0.364484313710706E+000 -0.342273552964344E+000
33
+ 26 0.353553390593274E+000 -0.353553390593274E+000
34
+ 27 0.342273552964344E+000 -0.364484313710706E+000
35
+ 28 0.330655932661826E+000 -0.375055534815230E+000
36
+ 29 0.318711994874345E+000 -0.385256621387895E+000
37
+ 30 0.306453526826488E+000 -0.395077506187845E+000
38
+ 31 0.293892626146236E+000 -0.404508497187474E+000
39
+ 32 0.281041688926065E+000 -0.413540287137281E+000
40
+ 33 0.267913397489498E+000 -0.422163962751008E+000
41
+ 34 0.254520707875185E+000 -0.430371013501972E+000
42
+ 35 0.240876837050857E+000 -0.438153340021932E+000
43
+ 36 0.226995249869773E+000 -0.445503262094184E+000
44
+ 37 0.212889645782536E+000 -0.452413526233010E+000
45
+ 38 0.198573945317390E+000 -0.458877312841991E+000
46
+ 39 0.184062276342339E+000 -0.464888242944126E+000
47
+ 40 0.169368960122645E+000 -0.470440384477113E+000
48
+ 41 0.154508497187474E+000 -0.475528258147577E+000
49
+ 42 0.139495553019614E+000 -0.480146842838472E+000
50
+ 43 0.124344943582427E+000 -0.484291580564316E+000
51
+ 44 0.109071620698271E+000 -0.487958380969374E+000
52
+ 45 0.936906572928621E-001 -0.491143625364344E+000
53
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+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="1035" NumberOfCells="968" >
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+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="49001" RangeMax="54168" offset="0" />
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+ <DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0" RangeMax="0" offset="53356" />
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="56600" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="64936" />
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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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AQAAAACAAABAHgAAbBkAAA==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AQAAAACAAABAHgAA3xgAAA==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AQAAAACAAABAHgAAWwgAAA==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AQAAAACAAABAHgAAeRUAAA==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AQAAAACAAABAHgAAiAsAAA==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eJztwQEBAAAAgJD+r+4ICgAAAAAAAABqHkAAAQ==AQAAAACAAABAHgAAHAAAAA==eJztwQEBAAAAgJD+r+4ICgAAAAAAAABqHkAAAQ==AQAAAACAAACEMAAAPwkAAA==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AQAAAACAAABAHgAAMAUAAA==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AQAAAACAAADIAwAAEQAAAA==eJzj5BwFo2AUDHUAAG+sIgk=
34
+ </AppendedData>
35
+ </VTKFile>
CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/grid/final-grid.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/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 0.18
17
+ variable Ma equal 6.3
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 0.18*${L}
23
+ variable mfp equal 0.18*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${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}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.18/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.18/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.18/4*0.18)
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 6.3*${sos}
38
+ variable vo equal 6.3*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 1939.23805470369*cos(${theta}*2*PI/360)
41
+ variable vx equal 1939.23805470369*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 1939.23805470369*sin(${theta}*2*PI/360)
44
+ variable vy equal 1939.23805470369*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${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)/0.18*${cpmfp}
50
+ variable xncells equal (6--5)/0.18*4
51
+ variable yncells equal (${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)/0.18*${cpmfp}
55
+ variable yncells equal (5--5)/0.18*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 1.59800450989094e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 1.59800450989094e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 1.59800450989094e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 1.59800450989094e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 1.59800450989094e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 1.59800450989094e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 1.59800450989094e+20*(6--5)*(5--5)/30/244.444444444444/${yncells}
64
+ variable Fnum equal 1.59800450989094e+20*(6--5)*(5--5)/30/244.444444444444/222.222222222222
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}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/1939.23805470369/${xncells}/10/4
69
+ variable tstep equal (--5+6)/1939.23805470369/244.444444444444/10/4
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 1.59800450989094e+20
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 5.80124754292685e-07
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 244.444444444444 ${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 244.444444444444 222.222222222222 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 235656 child grid cells
100
+ CPU time = 0.211537 secs
101
+ create/ghost percent = 0.78009 99.2199
102
+ balance_grid rcb cell
103
+ Balance grid migrated 235218 cells
104
+ CPU time = 0.176492 secs
105
+ reassign/sort/migrate/ghost percent = 31.7947 0.0301599 6.43892 61.7362
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 1939.23805470369 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 1939.23805470369 0 0.0 temp ${To}
111
+ mixture air Ar vstream 1939.23805470369 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
+ 710 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 210566 24380 710 = cells outside/inside/overlapping surfs
122
+ 710 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.187449 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 11.9424 12.5531 1.45799 15.2515 58.7949 37.3821 0.0790605
126
+ surf2grid time = 0.0285887 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 21.2819 20.44 9.18261 1.4466 9.80264 5.3212
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 4389 cells
133
+ CPU time = 0.121201 secs
134
+ reassign/sort/migrate/ghost percent = 2.93311 0.0270451 7.46673 89.5731
135
+ create_particles air n 0
136
+ WARNING: Created unexpected # of particles: 1617995 versus 1617996 (../create_particles.cpp:346)
137
+ Created 1617995 particles
138
+ CPU time = 0.0299358 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) = 2.39941 0 6.75
144
+ grid (ave,min,max) = 8.65491 1.51379 15.5763
145
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
146
+ total (ave,min,max) = 11.0749 5.09689 18.9719
147
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
148
+ 0 0 1617995 0 0 0 0 0
149
+ 10000 43.225865 1717853 38918 33946 36 1641261.2 35.1791
150
+ 20000 115.21989 1790893 42113 36981 37 1704785.9 35.82655
151
+ 30000 193.71771 1796507 42398 37180 51 1734945.5 36.110167
152
+ 40000 273.10321 1798947 42071 37016 43 1750568.1 36.213825
153
+ 50000 352.00142 1797891 42206 37179 39 1760090 36.3087
154
+ 60000 430.60874 1798283 42260 37369 38 1766472.6 36.365633
155
+ 70000 509.24449 1797671 41982 36899 26 1770960.3 36.4087
156
+ 80000 588.52476 1797874 42140 37116 33 1774303.9 36.43335
157
+ 90000 667.28786 1797005 42031 36930 41 1776913.2 36.452422
158
+ 100000 747.02622 1797146 42160 37020 39 1778923.7 36.46023
159
+ 110000 826.72651 1796719 41869 36840 36 1780623.4 36.471709
160
+ 120000 904.55987 1796708 42141 36982 34 1781940.8 36.475567
161
+ 130000 983.50954 1797475 42283 37041 40 1783082.3 36.492215
162
+ 140000 1062.356 1797689 42218 37030 47 1784129.9 36.498964
163
+ 150000 1141.8692 1798069 41878 36736 30 1785023.9 36.519327
164
+ 160000 1220.7821 1797901 41887 36732 30 1785870.1 36.526075
165
+ 170000 1300.1876 1798891 42350 37218 34 1786631.6 36.536429
166
+ 180000 1379.9565 1797972 42009 36891 33 1787280.6 36.535844
167
+ 190000 1458.8416 1797251 42251 37114 40 1787799.8 36.540084
168
+ 200000 1537.544 1796724 42216 36909 40 1788239.9 36.538095
169
+ Loop time of 1537.55 on 128 procs for 200000 steps with 1796724 particles
170
+
171
+ MPI task timing breakdown:
172
+ Section | min time | avg time | max time |%varavg| %total
173
+ ---------------------------------------------------------------
174
+ Move | 0.026837 | 50.92 | 336.98 | 939.3 | 3.31
175
+ Coll | 1.1565 | 69.093 | 814.7 |1483.0 | 4.49
176
+ Sort | 0.41171 | 24.129 | 197.69 | 839.4 | 1.57
177
+ Comm | 116.32 | 148.66 | 163.56 | 87.2 | 9.67
178
+ Modify | 0.023924 | 0.39303 | 6.9053 | 167.2 | 0.03
179
+ Output | 0.0055481 | 0.082886 | 0.090922 | 4.7 | 0.01
180
+ Other | | 1244 | | | 80.93
181
+
182
+ Particle moves = 357647975314 (358B)
183
+ Cells touched = 373515600318 (374B)
184
+ Particle comms = 376771967 (377M)
185
+ Boundary collides = 0 (0K)
186
+ Boundary exits = 36748009 (36.7M)
187
+ SurfColl checks = 411977687 (412M)
188
+ SurfColl occurs = 7307619 (7.31M)
189
+ Surf reactions = 0 (0K)
190
+ Collide attempts = 10283965008 (10.3B)
191
+ Collide occurs = 7885788562 (7.89B)
192
+ Reactions = 0 (0K)
193
+ Particles stuck = 0
194
+ Axisymm bad moves = 0
195
+
196
+ Particle-moves/CPUsec/proc: 1.81726e+06
197
+ Particle-moves/step: 1.78824e+06
198
+ Cell-touches/particle/step: 1.04437
199
+ Particle comm iterations/step: 1
200
+ Particle fraction communicated: 0.00105347
201
+ Particle fraction colliding with boundary: 0
202
+ Particle fraction exiting boundary: 0.000102749
203
+ Surface-checks/particle/step: 0.00115191
204
+ Surface-collisions/particle/step: 2.04324e-05
205
+ Surf-reactions/particle/step: 0
206
+ Collision-attempts/particle/step: 0.0287544
207
+ Collisions/particle/step: 0.022049
208
+ Reactions/particle/step: 0
209
+
210
+ Particles: 14036.9 ave 100373 max 0 min
211
+ Histogram: 86 14 6 10 2 6 0 2 0 2
212
+ Cells: 1841.06 ave 1842 max 1840 min
213
+ Histogram: 1 0 0 0 0 118 0 0 0 9
214
+ GhostCell: 47269.2 ave 87029 max 2584 min
215
+ Histogram: 24 8 10 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) = 2.61035 0 11.8125
246
+ grid (ave,min,max) = 8.65491 1.51379 15.5763
247
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
248
+ total (ave,min,max) = 11.9042 5.71507 19.5902
249
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
250
+ 200000 0 1796724 42216 36909 0 0 0
251
+ 210000 130.91405 1795861 42057 37017 35 1796605.4 36.5636
252
+ 220000 260.34365 1797467 42091 36882 27 1797303.1 36.64665
253
+ 230000 389.95241 1797965 42059 36879 26 1797523.5 36.6046
254
+ 240000 519.45871 1796780 42110 36949 39 1797505.4 36.57195
255
+ 250000 648.77284 1797228 42103 36930 36 1797470 36.56316
256
+ 260000 777.46079 1797086 42073 36942 30 1797384.6 36.566767
257
+ 270000 906.88642 1797169 42329 37110 24 1797409.1 36.577157
258
+ 280000 1037.2771 1795726 42013 36942 41 1797400.6 36.573338
259
+ 290000 1166.0624 1796215 42136 37024 34 1797346.1 36.584422
260
+ 300000 1295.5592 1798046 42444 37386 34 1797390.2 36.59382
261
+ Loop time of 1295.56 on 128 procs for 100000 steps with 1798046 particles
262
+
263
+ MPI task timing breakdown:
264
+ Section | min time | avg time | max time |%varavg| %total
265
+ ---------------------------------------------------------------
266
+ Move | 0.015725 | 25.779 | 172.68 | 643.4 | 1.99
267
+ Coll | 0.57876 | 37.241 | 447.59 |1102.9 | 2.87
268
+ Sort | 0.26006 | 13.066 | 108.06 | 588.9 | 1.01
269
+ Comm | 69.649 | 86.286 | 94.33 | 63.2 | 6.66
270
+ Modify | 8.3481 | 69.937 | 455.82 |1050.8 | 5.40
271
+ Output | 0.17826 | 0.17985 | 0.18484 | 0.3 | 0.01
272
+ Other | | 1063 | | | 82.05
273
+
274
+ Particle moves = 179739024079 (180B)
275
+ Cells touched = 187702396717 (188B)
276
+ Particle comms = 188993432 (189M)
277
+ Boundary collides = 0 (0K)
278
+ Boundary exits = 18463524 (18.5M)
279
+ SurfColl checks = 206645955 (207M)
280
+ SurfColl occurs = 3659382 (3.66M)
281
+ Surf reactions = 0 (0K)
282
+ Collide attempts = 5219425950 (5.22B)
283
+ Collide occurs = 4000543529 (4B)
284
+ Reactions = 0 (0K)
285
+ Particles stuck = 0
286
+ Axisymm bad moves = 0
287
+
288
+ Particle-moves/CPUsec/proc: 1.08386e+06
289
+ Particle-moves/step: 1.79739e+06
290
+ Cell-touches/particle/step: 1.04431
291
+ Particle comm iterations/step: 1
292
+ Particle fraction communicated: 0.00105149
293
+ Particle fraction colliding with boundary: 0
294
+ Particle fraction exiting boundary: 0.000102724
295
+ Surface-checks/particle/step: 0.0011497
296
+ Surface-collisions/particle/step: 2.03594e-05
297
+ Surf-reactions/particle/step: 0
298
+ Collision-attempts/particle/step: 0.0290389
299
+ Collisions/particle/step: 0.0222575
300
+ Reactions/particle/step: 0
301
+
302
+ Particles: 14047.2 ave 100225 max 0 min
303
+ Histogram: 86 14 5 11 2 6 0 2 0 2
304
+ Cells: 1841.06 ave 1842 max 1840 min
305
+ Histogram: 1 0 0 0 0 118 0 0 0 9
306
+ GhostCell: 47269.2 ave 87029 max 2584 min
307
+ Histogram: 24 8 10 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 = 235656
316
+ CPU time = 0.032931 secs
317
+ write_surf surf/geom.surf
318
+ surf elements = 200
319
+ CPU time = 0.00419156 secs
CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/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/Kn0p18/simulation0344_Kn0p18Ma6p3/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 0.01105 0.63994 -0.63986 0.010052 -0.00030196 -0.019222 -0.010055 -0.00014404 107.16 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.29154 16.943 10.593 -13.223 1.8592 1.4895 0.1956 -0.1843 3420.2 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.01065 0.61241 -0.61173 0.028848 -0.00025838 -0.005479 -0.0096126 0.00036707 107.1 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.27988 16.299 9.7861 -13.034 1.9155 1.4382 0.1838 -0.18214 3336.9 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.01019 0.57665 -0.57487 0.045243 -0.0004554 -0.0057864 -0.0090369 0.00061976 98.273 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.26406 15.367 8.836 -12.572 1.9189 1.3486 0.16893 -0.17629 3189.6 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.01005 0.56757 -0.56414 0.062282 -8.0435e-05 -0.00072858 -0.0088624 0.00096684 97.647 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.24761 14.437 7.9264 -12.067 1.9333 1.2699 0.15487 -0.16959 2945.4 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.01007 0.56586 -0.56021 0.07973 -0.0015619 -0.010974 -0.0088239 0.00108 105.51 0 0
19
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149
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174
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+ 101 -0.5 0 -0.49975 0.015705 0.61502 35.677 35.673 -0.56039 0.0013874 0.088316 0.56034 -0.007415 6818.8 0 0
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191
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192
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193
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194
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197
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199
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200
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202
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203
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204
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205
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206
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207
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208
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209
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CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/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/Kn0p18/simulation0344_Kn0p18Ma6p3/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/Kn0p18/simulation0344_Kn0p18Ma6p3/slurm-28428638.out ADDED
@@ -0,0 +1,215 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 235656 child grid cells
6
+ CPU time = 0.211537 secs
7
+ create/ghost percent = 0.78009 99.2199
8
+ Balance grid migrated 235218 cells
9
+ CPU time = 0.176492 secs
10
+ reassign/sort/migrate/ghost percent = 31.7947 0.0301599 6.43892 61.7362
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
+ 710 0 = cells overlapping surfs, overlap cells with unmarked corner pts
18
+ 210566 24380 710 = cells outside/inside/overlapping surfs
19
+ 710 = surf cells with 1,2,etc splits
20
+ 109.214731023044 109.214731023047 = cell-wise and global flow volume
21
+ CPU time = 0.187449 secs
22
+ read/check/sort/surf2grid/ghost/inout/particle percent = 11.9424 12.5531 1.45799 15.2515 58.7949 37.3821 0.0790605
23
+ surf2grid time = 0.0285887 secs
24
+ map/comm1/comm2/comm3/comm4/split percent = 21.2819 20.44 9.18261 1.4466 9.80264 5.3212
25
+ Balance grid migrated 4389 cells
26
+ CPU time = 0.121201 secs
27
+ reassign/sort/migrate/ghost percent = 2.93311 0.0270451 7.46673 89.5731
28
+ Creating particles ...
29
+ WARNING: Created unexpected # of particles: 1617995 versus 1617996 (../create_particles.cpp:346)
30
+ Created 1617995 particles
31
+ CPU time = 0.0299358 secs
32
+ Memory usage per proc in Mbytes:
33
+ particles (ave,min,max) = 2.39941 0 6.75
34
+ grid (ave,min,max) = 8.65491 1.51379 15.5763
35
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
36
+ total (ave,min,max) = 11.0749 5.09689 18.9719
37
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
38
+ 0 0 1617995 0 0 0 0 0
39
+ 10000 43.225865 1717853 38918 33946 36 1641261.2 35.1791
40
+ 20000 115.21989 1790893 42113 36981 37 1704785.9 35.82655
41
+ 30000 193.71771 1796507 42398 37180 51 1734945.5 36.110167
42
+ 40000 273.10321 1798947 42071 37016 43 1750568.1 36.213825
43
+ 50000 352.00142 1797891 42206 37179 39 1760090 36.3087
44
+ 60000 430.60874 1798283 42260 37369 38 1766472.6 36.365633
45
+ 70000 509.24449 1797671 41982 36899 26 1770960.3 36.4087
46
+ 80000 588.52476 1797874 42140 37116 33 1774303.9 36.43335
47
+ 90000 667.28786 1797005 42031 36930 41 1776913.2 36.452422
48
+ 100000 747.02622 1797146 42160 37020 39 1778923.7 36.46023
49
+ 110000 826.72651 1796719 41869 36840 36 1780623.4 36.471709
50
+ 120000 904.55987 1796708 42141 36982 34 1781940.8 36.475567
51
+ 130000 983.50954 1797475 42283 37041 40 1783082.3 36.492215
52
+ 140000 1062.356 1797689 42218 37030 47 1784129.9 36.498964
53
+ 150000 1141.8692 1798069 41878 36736 30 1785023.9 36.519327
54
+ 160000 1220.7821 1797901 41887 36732 30 1785870.1 36.526075
55
+ 170000 1300.1876 1798891 42350 37218 34 1786631.6 36.536429
56
+ 180000 1379.9565 1797972 42009 36891 33 1787280.6 36.535844
57
+ 190000 1458.8416 1797251 42251 37114 40 1787799.8 36.540084
58
+ 200000 1537.544 1796724 42216 36909 40 1788239.9 36.538095
59
+ Loop time of 1537.55 on 128 procs for 200000 steps with 1796724 particles
60
+
61
+ MPI task timing breakdown:
62
+ Section | min time | avg time | max time |%varavg| %total
63
+ ---------------------------------------------------------------
64
+ Move | 0.026837 | 50.92 | 336.98 | 939.3 | 3.31
65
+ Coll | 1.1565 | 69.093 | 814.7 |1483.0 | 4.49
66
+ Sort | 0.41171 | 24.129 | 197.69 | 839.4 | 1.57
67
+ Comm | 116.32 | 148.66 | 163.56 | 87.2 | 9.67
68
+ Modify | 0.023924 | 0.39303 | 6.9053 | 167.2 | 0.03
69
+ Output | 0.0055481 | 0.082886 | 0.090922 | 4.7 | 0.01
70
+ Other | | 1244 | | | 80.93
71
+
72
+ Particle moves = 357647975314 (358B)
73
+ Cells touched = 373515600318 (374B)
74
+ Particle comms = 376771967 (377M)
75
+ Boundary collides = 0 (0K)
76
+ Boundary exits = 36748009 (36.7M)
77
+ SurfColl checks = 411977687 (412M)
78
+ SurfColl occurs = 7307619 (7.31M)
79
+ Surf reactions = 0 (0K)
80
+ Collide attempts = 10283965008 (10.3B)
81
+ Collide occurs = 7885788562 (7.89B)
82
+ Gas reactions = 0 (0K)
83
+ Particles stuck = 0
84
+ Axisymm bad moves = 0
85
+
86
+ Particle-moves/CPUsec/proc: 1.81726e+06
87
+ Particle-moves/step: 1.78824e+06
88
+ Cell-touches/particle/step: 1.04437
89
+ Particle comm iterations/step: 1
90
+ Particle fraction communicated: 0.00105347
91
+ Particle fraction colliding with boundary: 0
92
+ Particle fraction exiting boundary: 0.000102749
93
+ Surface-checks/particle/step: 0.00115191
94
+ Surface-collisions/particle/step: 2.04324e-05
95
+ Surface-reactions/particle/step: 0
96
+ Collision-attempts/particle/step: 0.0287544
97
+ Collisions/particle/step: 0.022049
98
+ Gas-reactions/particle/step: 0
99
+
100
+ Particles: 14036.9 ave 100373 max 0 min
101
+ Histogram: 86 14 6 10 2 6 0 2 0 2
102
+ Cells: 1841.06 ave 1842 max 1840 min
103
+ Histogram: 1 0 0 0 0 118 0 0 0 9
104
+ GhostCell: 47269.2 ave 87029 max 2584 min
105
+ Histogram: 24 8 10 10 18 2 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) = 2.61035 0 11.8125
114
+ grid (ave,min,max) = 8.65491 1.51379 15.5763
115
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
116
+ total (ave,min,max) = 11.9042 5.71507 19.5902
117
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
118
+ 200000 0 1796724 42216 36909 0 0 0
119
+ 210000 130.91405 1795861 42057 37017 35 1796605.4 36.5636
120
+ 220000 260.34365 1797467 42091 36882 27 1797303.1 36.64665
121
+ 230000 389.95241 1797965 42059 36879 26 1797523.5 36.6046
122
+ 240000 519.45871 1796780 42110 36949 39 1797505.4 36.57195
123
+ 250000 648.77284 1797228 42103 36930 36 1797470 36.56316
124
+ 260000 777.46079 1797086 42073 36942 30 1797384.6 36.566767
125
+ 270000 906.88642 1797169 42329 37110 24 1797409.1 36.577157
126
+ 280000 1037.2771 1795726 42013 36942 41 1797400.6 36.573338
127
+ 290000 1166.0624 1796215 42136 37024 34 1797346.1 36.584422
128
+ 300000 1295.5592 1798046 42444 37386 34 1797390.2 36.59382
129
+ Loop time of 1295.56 on 128 procs for 100000 steps with 1798046 particles
130
+
131
+ MPI task timing breakdown:
132
+ Section | min time | avg time | max time |%varavg| %total
133
+ ---------------------------------------------------------------
134
+ Move | 0.015725 | 25.779 | 172.68 | 643.4 | 1.99
135
+ Coll | 0.57876 | 37.241 | 447.59 |1102.9 | 2.87
136
+ Sort | 0.26006 | 13.066 | 108.06 | 588.9 | 1.01
137
+ Comm | 69.649 | 86.286 | 94.33 | 63.2 | 6.66
138
+ Modify | 8.3481 | 69.937 | 455.82 |1050.8 | 5.40
139
+ Output | 0.17826 | 0.17985 | 0.18484 | 0.3 | 0.01
140
+ Other | | 1063 | | | 82.05
141
+
142
+ Particle moves = 179739024079 (180B)
143
+ Cells touched = 187702396717 (188B)
144
+ Particle comms = 188993432 (189M)
145
+ Boundary collides = 0 (0K)
146
+ Boundary exits = 18463524 (18.5M)
147
+ SurfColl checks = 206645955 (207M)
148
+ SurfColl occurs = 3659382 (3.66M)
149
+ Surf reactions = 0 (0K)
150
+ Collide attempts = 5219425950 (5.22B)
151
+ Collide occurs = 4000543529 (4B)
152
+ Gas reactions = 0 (0K)
153
+ Particles stuck = 0
154
+ Axisymm bad moves = 0
155
+
156
+ Particle-moves/CPUsec/proc: 1.08386e+06
157
+ Particle-moves/step: 1.79739e+06
158
+ Cell-touches/particle/step: 1.04431
159
+ Particle comm iterations/step: 1
160
+ Particle fraction communicated: 0.00105149
161
+ Particle fraction colliding with boundary: 0
162
+ Particle fraction exiting boundary: 0.000102724
163
+ Surface-checks/particle/step: 0.0011497
164
+ Surface-collisions/particle/step: 2.03594e-05
165
+ Surface-reactions/particle/step: 0
166
+ Collision-attempts/particle/step: 0.0290389
167
+ Collisions/particle/step: 0.0222575
168
+ Gas-reactions/particle/step: 0
169
+
170
+ Particles: 14047.2 ave 100225 max 0 min
171
+ Histogram: 86 14 5 11 2 6 0 2 0 2
172
+ Cells: 1841.06 ave 1842 max 1840 min
173
+ Histogram: 1 0 0 0 0 118 0 0 0 9
174
+ GhostCell: 47269.2 ave 87029 max 2584 min
175
+ Histogram: 24 8 10 10 18 2 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 = 235656
184
+ CPU time = 0.032931 secs
185
+ Writing surface file ...
186
+ surf elements = 200
187
+ CPU time = 0.00419156 secs
188
+ Processing 9 grid chunk(s).
189
+ Completed grid chunk number: 8
190
+ Completed grid chunk number: 7
191
+ Completed grid chunk number: 5
192
+ Completed grid chunk number: 2
193
+ Completed grid chunk number: 6
194
+ Completed grid chunk number: 0
195
+ Completed grid chunk number: 1
196
+ Completed grid chunk number: 3
197
+ Completed grid chunk number: 4
198
+
199
+ Done in 0:00:19 (wall clock time)
200
+
201
+ Processing 9 grid chunk(s).
202
+ Completed grid chunk number: 6
203
+ Completed grid chunk number: 7
204
+ Completed grid chunk number: 5
205
+ Completed grid chunk number: 8
206
+ Completed grid chunk number: 2
207
+ Completed grid chunk number: 0
208
+ Completed grid chunk number: 1
209
+ Completed grid chunk number: 3
210
+ Completed grid chunk number: 4
211
+
212
+ Done in 0:00:18 (wall clock time)
213
+
214
+ Processing SPARTA surface information.
215
+ Processing dump result file: ['./output/surf.300000.dat']
CylinderKnMa/Kn0p18/simulation0344_Kn0p18Ma6p3/surf/Surf_300000.vtu ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0"?>
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+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
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+ <UnstructuredGrid>
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+ <Piece NumberOfPoints="400" NumberOfCells="200" >
5
+ <PointData>
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+ </PointData>
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+ <CellData>
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+ <DataArray type="Float64" Name="id" format="appended" RangeMin="1" RangeMax="200" offset="0" />
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+ <DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="432" />
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+ <DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="1468" />
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+ <DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="2476" />
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+ <DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="3508" />
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+ <DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00469" RangeMax="0.61685" offset="4512" />
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+ <DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.25154" RangeMax="35.794" offset="6544" />
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+ <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.63986" RangeMax="35.79" offset="8440" />
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+ <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-14.605" RangeMax="14.705" offset="10436" />
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+ <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.0035357" RangeMax="2.0162" offset="12436" />
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+ <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-1.9857" RangeMax="1.958" offset="14476" />
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+ <DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.010055" RangeMax="0.56215" offset="16544" />
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+ <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.20045" RangeMax="0.2016" offset="18672" />
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+ <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="58.525" RangeMax="7026.9" offset="20812" />
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+ <DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0" RangeMax="0" offset="22088" />
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+ <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="22140" />
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+ </CellData>
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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="22192" />
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+ </Points>
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+ <Cells>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="23520" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="24424" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="24916" />
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+ </Cells>
33
+ </Piece>
34
+ </UnstructuredGrid>
35
+ <AppendedData encoding="base64">
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AQAAAACAAABABgAAyAUAAA==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AQAAAACAAABABgAA5gUAAA==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AQAAAACAAABABgAA+wUAAA==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AQAAAACAAABABgAAKQYAAA==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AQAAAACAAABABgAAMgYAAA==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