Hugging Face's logo

Datasets:
CFDML
/
TransportBench

Modalities:
Text
License:
Dataset card Data Studio Files
xet
 Community
1
T0NGXU commited on
Commit
81eb245
·
verified ·
1 Parent(s): 6365e19

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +6 -0
  2. CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/output/grid.300000.dat +3 -0
  3. CylinderKnMa/Kn0p32/simulation0653_Kn0p32Ma2p2/output/grid.300000.dat +3 -0
  4. CylinderKnMa/Kn0p32/simulation0654_Kn0p32Ma2p3/output/grid.300000.dat +3 -0
  5. CylinderKnMa/Kn0p32/simulation0655_Kn0p32Ma2p4/output/grid.300000.dat +3 -0
  6. CylinderKnMa/Kn0p32/simulation0656_Kn0p32Ma2p5/output/grid.300000.dat +3 -0
  7. CylinderKnMa/Kn0p32/simulation0657_Kn0p32Ma2p6/output/grid.300000.dat +3 -0
  8. CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/Lambda/Lambda_0_300000.vtu +0 -0
  9. CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/Lambda/Lambda_1_300000.vtu +27 -0
  10. CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/Lambda/Lambda_2_300000.vtu +27 -0
  11. CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/Lambda/Lambda_300000.pvtu +21 -0
  12. CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/Lambda/Lambda_3_300000.vtu +27 -0
  13. CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/grid/Grid_3_300000.vtu +35 -0
  14. CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/output/grid.300000.dat +0 -0
  15. CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/output/lambdakn.300000.dat +0 -0
  16. CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/output/surf.300000.dat +209 -0
  17. CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/surf/Surf_300000.vtu +38 -0
  18. CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/surf/geom.surf +610 -0
  19. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Grid.pvd +9 -0
  20. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Lambda.pvd +9 -0
  21. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Lambda/Lambda_0_300000.vtu +0 -0
  22. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Lambda/Lambda_1_300000.vtu +27 -0
  23. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Lambda/Lambda_2_300000.vtu +27 -0
  24. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Lambda/Lambda_300000.pvtu +21 -0
  25. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Lambda/Lambda_3_300000.vtu +27 -0
  26. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Surf.pvd +9 -0
  27. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/config.txt +78 -0
  28. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/cylinder.surf +410 -0
  29. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/gas.species +14 -0
  30. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/gas.vhs +9 -0
  31. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/grid/Grid_0_300000.vtu +0 -0
  32. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/grid/Grid_1_300000.vtu +0 -0
  33. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/grid/Grid_2_300000.vtu +35 -0
  34. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/grid/Grid_300000.pvtu +29 -0
  35. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/grid/Grid_3_300000.vtu +35 -0
  36. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/grid/final-grid.dat +0 -0
  37. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/log.sparta +319 -0
  38. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/mir.txt +3 -0
  39. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/output/grid.300000.dat +0 -0
  40. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/output/lambdakn.300000.dat +0 -0
  41. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/output/surf.300000.dat +209 -0
  42. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/runmpirun128.sh +18 -0
  43. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/runmpirun64.sh +18 -0
  44. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/slurm-28429952.out +205 -0
  45. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/surf/Surf_300000.vtu +38 -0
  46. CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/surf/geom.surf +610 -0
  47. CylinderKnMa/Kn0p36/simulation0797_Kn0p36Ma6p6/Grid.pvd +9 -0
  48. CylinderKnMa/Kn0p36/simulation0797_Kn0p36Ma6p6/Lambda.pvd +9 -0
  49. CylinderKnMa/Kn0p36/simulation0797_Kn0p36Ma6p6/Lambda/Lambda_0_300000.vtu +0 -0
  50. CylinderKnMa/Kn0p36/simulation0797_Kn0p36Ma6p6/Lambda/Lambda_1_300000.vtu +27 -0
.gitattributes CHANGED
@@ -503,3 +503,9 @@ CylinderKnMa/Kn0p30/simulation0645_Kn0p30Ma6p4/output/grid.300000.dat filter=lfs
503
  CylinderKnMa/Kn0p30/simulation0649_Kn0p30Ma6p8/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
504
  CylinderKnMa/Kn0p30/simulation0650_Kn0p30Ma6p9/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
505
  CylinderKnMa/Kn0p32/simulation0651_Kn0p32Ma2p0/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
503
  CylinderKnMa/Kn0p30/simulation0649_Kn0p30Ma6p8/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
504
  CylinderKnMa/Kn0p30/simulation0650_Kn0p30Ma6p9/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
505
  CylinderKnMa/Kn0p32/simulation0651_Kn0p32Ma2p0/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
506
+ CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
507
+ CylinderKnMa/Kn0p32/simulation0653_Kn0p32Ma2p2/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
508
+ CylinderKnMa/Kn0p32/simulation0654_Kn0p32Ma2p3/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
509
+ CylinderKnMa/Kn0p32/simulation0655_Kn0p32Ma2p4/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
510
+ CylinderKnMa/Kn0p32/simulation0656_Kn0p32Ma2p5/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
511
+ CylinderKnMa/Kn0p32/simulation0657_Kn0p32Ma2p6/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
CylinderKnMa/Kn0p32/simulation0652_Kn0p32Ma2p1/output/grid.300000.dat ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c8f6a45c36740a38b8c3e25627fe6271f4b4fbe1b9ad675119db462a96466fc4
3
+ size 12334144
CylinderKnMa/Kn0p32/simulation0653_Kn0p32Ma2p2/output/grid.300000.dat ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33db61de7982d3d4ca8b42f0e31d87636fcceb037d1fce1914029dd356129af1
3
+ size 12334144
CylinderKnMa/Kn0p32/simulation0654_Kn0p32Ma2p3/output/grid.300000.dat ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f42550d522be89a944f38e831d835454265bf64471c7a20424ef97787a530600
3
+ size 12334144
CylinderKnMa/Kn0p32/simulation0655_Kn0p32Ma2p4/output/grid.300000.dat ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dc0b485be07b45a16a297553cc0a3baad64512448a6d27f86f932efac4ce1efa
3
+ size 12334144
CylinderKnMa/Kn0p32/simulation0656_Kn0p32Ma2p5/output/grid.300000.dat ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:044a8380fa756edabab6224011aec3531ce99af0de829e6396558f9423d04d97
3
+ size 12334144
CylinderKnMa/Kn0p32/simulation0657_Kn0p32Ma2p6/output/grid.300000.dat ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6e507c5cb2ac1e87414520841f493a8d75407cff6d5aa2be51d0c3aac0b8d7e6
3
+ size 12334144
CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/Lambda/Lambda_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/Lambda/Lambda_1_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="2323" NumberOfCells="2200" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="101" RangeMax="12200" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0615" RangeMax="5.9549" offset="4576" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.955" RangeMax="3.964" offset="5012" />
11
+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.018046" RangeMax="0.089093" offset="5896" />
12
+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.20015" RangeMax="0.98812" offset="26000" />
13
+ </CellData>
14
+ <Points>
15
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.0166462503" RangeMax="7.8102496759" offset="41960" />
16
+ </Points>
17
+ <Cells>
18
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="49180" />
19
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="63628" />
20
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="67564" />
21
+ </Cells>
22
+ </Piece>
23
+ </UnstructuredGrid>
24
+ <AppendedData encoding="base64">
25
+ _AQAAAACAAADARAAAVA0AAA==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AQAAAACAAADARAAAMwEAAA==eJztzssrBAEAx3EHcbE1OzM7Q1y4zUFJmrQe/SQuW9o4KMnjIuW4uSjKQXPz2CaJ0572uicnHJSIPDZ5X6TmJKkVmzho/wuH7x/w/faJrlqevnsNTaROant2DJUK6bntsqHAebgoj8RVtbH0kyzEFX7VTG7VmfLG1w4/Z03lbjveO49M+d37w5vNls5yA7sfi5b6m15f/EdL98uZwdC3lf6tz9xlbUXTlcLWwrGXzKYSKvVdztzkEwryo6ft1Y4aY8+t61OOwmBl7HrPkfcWO2hrcFW5r8678s+7hopFVxFevHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHj/jfcPOfNiBA==AQAAAACAAADARAAAhQIAAA==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AQAAAACAAADARAAAry4AAA==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AQAAAACAAADkbAAAExUAAA==eJxN3F/o//1d1/EZ4TQdDER0B+4gV8M10pMLY+P7+/106pB2ojJYimhcLDYQRGUGg3R1yVh/HF5hCU5RKVJIMi0oBtvsoIMJF7NQQcZgWLDi0ooSxhhJ1z2etwff39H9+Mbv+/m8P6/36/l8xwc/8OxVr/rl337VK/9efs8L63/w1z+4ftNf/fvrT772H63f+38+vP6yP3hx/Wv//mfXb//Iz60/93d+fv3BH/zF9V9+2y+v/+Nf+mfrd3/Zv1j/+Zd/bf3PX/qX67f963+1/i//+DfXf+99/3b9F9/179b/4S0fXf/Nr/vY+lWv+u31O14x+eLX/eJMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojP5/Ft/fiY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmfzvv/FzM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnO5H/87Z+dic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQm//2fvDgTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ez+67/58Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM/nsf/qHM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnO5NP/80Mz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic7kD17zwZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ/Kf/8oLM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnO5KXv/MBMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojN58VPvn4nORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0Jh/6ivfNRGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjqTn3z7D89EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOpMff+G9M9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnO5Ic+8fxMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojN5/ovfPxOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTL73m981E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMvuvHvnsmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0Zm8/TfeMROdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTJ68/B0z0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic7kuTd+y0x0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM3nz82+dic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmX/9Lz81EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOpPXffobZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdyWu/5k0z0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic7k1d/zhpnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ/JnH379THQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz+dPf+dqZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGfy8pd+1Ux0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM/mjb33NTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz+cOfePVMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojP53Y9+yUx0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM/npP/n8J5joTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ/L+d//xTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Izec9nPjsTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Eze+c7fn4nORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0Jm976ZMz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic7km7794zPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzuT1H/utmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRn8pXP/epMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojP5wq9/ZCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmXzuDT8zE52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMfu8XfmomOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0Zm88A0/OhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTH7gdd83E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehM3vLl3zYTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ey++gtvnonORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0Jv/rv331THQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz0ZnoTHQmOhOdic5EZ6Iz+ae/+X8/zkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6k3e8+KmZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGfy537kV2aiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTncmP/MrfmonORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0JjoTnYnORGeiM9GZ6Ex0Jp/5wb8wE52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehM3vh3/9rHmOhMdCY6E52JzkRnojPRmehMdCY6E52JzkRnojPRmehMdCY6E52JzkSfycMjk4dHJg+PTB4emTw8Mnl4ZPLwyOThkcnDI5OHRyYPj0weHpk8PDJ5eGTy8Mjk4ZHJwyOTh0cmD49MHh6ZPDwyeXhk8sDklf8zT5jo+9t5wkTf384TJvr+dp4w0fe384SJvr+dJ0z0/e08YaLvb+cJE31/O0+Y6PvbecJE39/OEyb6/naeMHnls2Um+j5jZ6LvM3Ym+j5jZ6LvM3Ym+j5jZ6LvM3Ym+j5jZ6LvM3Ym+j5jZ6LvM3Ym+j5jZ/LKd9BM9H0Xz0Tfd/FM9H0Xz0Tfd/FM9H0Xz0Tfd/FM9H0Xz0Tfd/FM9H0Xz0Tfd/FM9H0Xz+SVZ5WZ6Htmm4m+Z7aZ6Htmm4m+Z7aZ6Htmm4m+Z7aZ6Htmm4m+Z7aZ6Htmm4m+Z7aZ6Htmm8krz7Qz0fdsPxN9z/Yz0fdsPxN9z/Yz0fdsPxN9z/Yz0fdsPxN9z/Yz0fdsPxN9z/Yz0fdsP5NXfvs8ZaLvN+BTJvp+Az5lou834FMm+n4DPmWi7zfgUyb6fgM+ZaLvN+BTJvp+Az5lou834FMm+n4DPmWi7zfgUyav/Eaeib6zgpnoOyuYib6zgpnoOyuYib6zgpnoOyuYib6zgpnoOyuYib6zgpnoOyuYib6zgpm85cu/bSb6zpRmou9MaSb6zpRmou9MaSb6zpRmou9MaSb6zpRmou9MaSb6zpRmou9MaSb6zpRm8gOv+76Z6Dt7nIm+s8eZ6Dt7nIm+s8eZ6Dt7nIm+s8eZ6Dt7nIm+s8eZ6Dt7nIm+s8eZ6Dt7nMkL3/CjM9F3Rj0TfWfUM9F3Rj0TfWfUM9F3Rj0TfWfUM9F3Rj0TfWfUM9F3Rj0TfWfUM9F3Rj2T3/uFn5qJvncZM9H3LmMm+t5lzETfu4yZ6HuXMRN97zJmou9dxkz0vcuYib53GTPR9y5jJvreZczkc2/4mZnoe+c1E33vvGai753XTPS985qJvndeM9H3zmsm+t55zUTfO6+Z6HvnNRN977xmou+d10y+8OsfmYm+d6Mz0fdudCb63o3ORN+70Znoezc6E33vRmei793oTPS9G52JvnejM9H3bnQm+t6NzuQrn/vVmeh7hz4Tfe/QZ6LvHfpM9L1Dn4m+d+gz0fcOfSb63qHPRN879Jnoe4c+E33v0Gei7x36TF7/sd+aib67FjPRd9diJvruWsxE312Lmei7azETfXctZqLvrsVM9N21mIm+uxYz0XfXYib67lrM5Ju+/eMz0XcnZyb67uTMRN+dnJnou5MzE313cmai707OTPTdyZmJvjs5M9F3J2cm+u7kzETfnZyZvO2lT85E392tmei7uzUTfXe3ZqLv7tZM9N3dmom+u1sz0Xd3ayb67m7NRN/drZnou7s1E313t2byznf+/kz03fGbib47fjPRd8dvJvru+M1E3x2/mei74zcTfXf8ZqLvjt9M9N3xm4m+O34z0XfHbybv+cxnZ6LvLuhM9N0FnYm+u6Az0XcXdCb67oLORN9d0Jnouws6E313QWei7y7oTPTdBZ2JvrugM3n/u/94JvruDM9E353hmei7MzwTfXeGZ6LvzvBM9N0Znom+O8Mz0XdneCb67gzPRN+d4ZnouzM8k5/+k8/PRN/d8pnou1s+E313y2ei7275TPTdLZ+JvrvlM9F3t3wm+u6Wz0Tf3fKZ6LtbPhN9d8tn8rsf/ZJnTPTNIDxjom8G4RkTfTMIz5jom0F4xkTfDMIzJvpmEJ4x0TeD8IyJvhmEZ0z0zSA8Y6JvBuEZE30zCM+Y/OFPvHom+mZVZqJvVmUm+mZVZqJvVmUm+mZVZqJvVmUm+mZVZqJvVmUm+mZVZqJvVmUm+mZVZvJH3/qameibaZqJvpmmmeibaZqJvpmmmeibaZqJvpmmmeibaZqJvpmmmeibaZqJvpmmmeibaZrJy1/6VTPRN/s2E32zbzPRN/s2E32zbzPRN/s2E32zbzPRN/s2E32zbzPRN/s2E32zbzPRN/s2kz/9na+dib4ZyZnom5Gcib4ZyZnom5Gcib4ZyZnom5Gcib4ZyZnom5Gcib4ZyZnom5Gcib4ZyZn82YdfPxN9s7Qz0TdLOxN9s7Qz0TdLOxN9s7Qz0TdLOxN9s7Qz0TdLOxN9s7Qz0TdLOxN9s7QzefX3vGEm+mauZ6Jv5nom+mauZ6Jv5nom+mauZ6Jv5nom+mauZ6Jv5nom+mauZ6Jv5nom+mauZ/Lar3nTTPTN5s9E32z+TPTN5s9E32z+TPTN5s9E32z+TPTN5s9E32z+TPTN5s9E32z+TPTN5s/kdZ/+xpno2+EwE307HGaib4fDTPTtcJiJvh0OM9G3w2Em+nY4zETfDoeZ6NvhMBN9Oxxmom+Hw0y+/peem4m+XR8z0bfrYyb6dn3MRN+uj5no2/UxE327Pmaib9fHTPTt+piJvl0fM9G362Mm+nZ9zOTNz791Jvp2wsxE306YmejbCTMTfTthZqJvJ8xM9O2EmYm+nTAz0bcTZib6dsLMRN9OmJno2wkzk+fe+C0z0bc7aCb6dgfNRN/uoJno2x00E327g2aib3fQTPTtDpqJvt1BM9G3O2gm+nYHzUTf7qCZPHn5O2aib8fUTPTtmJqJvh1TM9G3Y2om+nZMzUTfjqmZ6NsxNRN9O6Zmom/H1Ez07Ziaib4dUzN5+2+8Yyb6dpHNRN8uspno20U2E327yGaibxfZTPTtIpuJvl1kM9G3i2wm+naRzUTfLrKZ6NtFNpPv+rHvnom+nXUz0bezbib6dtbNRN/Oupno21k3E30762aib2fdTPTtrJuJvp11M9G3s24m+nbWzeR7v/ldM9G323Am+nYbzkTfbsOZ6NttOBN9uw1nom+34Uz07Tacib7dhjPRt9twJvp2G85E327DmTz/xe+fib4dmDPRtwNzJvp2YM5E3w7MmejbgTkTfTswZ6JvB+ZM9O3AnIm+HZgz0bcDcyb6dmDO5Ic+8fxM9O1KnYm+Xakz0bcrdSb6dqXORN+u1Jno25U6E327Umeib1fqTPTtSp2Jvl2pM9G3K3UmP/7Ce2eib6fuTPTt1J2Jvp26M9G3U3cm+nbqzkTfTt2Z6NupOxN9O3Vnom+n7kz07dSdib6dujP5ybf/8Ez07V6eib7dyzPRt3t5Jvp2L89E3+7lmejbvTwTfbuXZ6Jv9/JM9O1enom+3csz0bd7eSYf+or3zUTfju6Z6NvRPRN9O7pnom9H90z07eieib4d3TPRt6N7Jvp2dM9E347umejb0T0TfTu6Z/Lip94/E3273Geib5f7TPTtcp+Jvl3uM9G3y30m+na5z0TfLveZ6NvlPhN9u9xnom+X+0z07XKfyUvf+YGZ6Nv5PxN9O/9nom/n/0z07fyfib6d/zPRt/N/Jvp2/s9E387/mejb+T8TfTv/Z6Jv5///7/8HfYqMRg==AwAAAACAAAAAEwAAjBMAAIMTAAArAwAAeJxd3Vf4gOXgh3G/0d5777333lOlSRElKRGKaBlpD1qIhmhnNoyMCKXQUBlZTcksWlYJ9T/4v5+D935Pvtd1X/fhffZc7/O87GX//00Mu/CwC4VPDrtIPHxq2EXj4dPDLhYPn2HYxePhMw67RDx8pmGXjIfPPOxS8fBZhl06Hj7rsMvEw2cbdtl4+OzDLhcPn2PY5ePhcw67Qjx8rmFXjIfPPexK8fB5hl05Hj7vsKvEw+cbdtV4+PzDrhYPX2DY1ePhCw67Rjyd6nGtYdcM1+Pa8XA9rhMP1+O68XA9rhcP1+P68XA9bhAP1+OG8fClh90oHq7HjePhetwkHq7HTePhetwsHq7HzePhetwiHq7HLePhetwqHq7HrePhetwmHq7HbePhetwuHq7b7ePpVI87DrtDuB5fHg/X407xcD3uHA/X4y7xcD2+Ih6ux13j4XrcLR6ux93j4XrcIx6uxz3j4XrcKx6ux1fGw/X4qni4HveOh+txn3i4Hl8dD9962NfEw/W4bzxcj6+Nh+vxdfFw3e4XT6d6fP2w+4fr8YB4uB7fEA/X44HxcD2+MR6ux4Pi4Xo8OB6uxzfFw/V4SDxcj2+Oh+vxLfFwPR4aD9fjW+PhenxbPFyPb4+H6/GweLgeD4+H6/Ed8XA9vjMerscj4uF6fFc8XLfvjqdTPR417JHhejw6Hq7HY+LhBw57bDxcj++Jh+vxvfFwPb4vHq7H98fD9XhcPFyPH4iH6/H4eLgeT4iH6/HEeLgeT4qH6/HkeLgeT4mH6/HUeLgeT4uH6/H0eLgez4iH6/GD8XDdfiieTvV41rBnhuvx7Hi4Hs+Jh+vx3Hi4Hj8cD9fjR+LhevxoPFyP58XD9fixeLgePx4P1+P58XA9XhAPP3HYC+PherwoHq7HT8TD9XhxPFyPn4yH6/FT8XA9XhIP1+Ol8XA9XhYP1+3l8XSqxyuHvSJcj1fFw/V4dTxcj5+Oh+vxM/FwPX42Hq7Hz8XD9fj5eLgevxAP1+M18XA9XhsP1+N18XA9Xh8P1+MX4+F6/FI8XI9fjofr8SvxcD3eEA/X41fj4Xr8Wjxcj1+Ph18+7Dfi6VSP3xz2xnA9fiserseb4uF6/HY8XI/fiYfr8bvxcD3eHA/X4y3xcD1+Lx6ux1vj4Xq8LR6ux+/Hw/X4g3i4Hn8YD9fj7fFwPd4RD9fjnfFwPd4VD9fjj+Lherw7Hq7He+Lhur03nk71+JNhfxyux5/Gw/X4s3i4Hu+Lh+vx5/FwPf4iHq7HX8bDbxn2V/FwPf46Hq7H++PhenwgHq7HB+PhenwoHq7Hh+PhenwkHq7H38TD9fhoPFyPv42H6/GxeLgefxcP1+Pv4+G6/UM8nerxT8P+MVyPf46H6/HxeLgen4iH6/Ev8XA9/jUerscn4+F6fCoersen4+F6fCYersdn4+F6/Fs8XI9/j4fr8R/xcD3+Mx6ux3/Fwx8d9rl4uB6fj4fr8d/xcD2+EA/X43/i4br9bzyd6vHFYf8XrseX4uF6dGD3UrgeJybGHq7HyYmxh+txamLs4Xqcnhh7uB5nmBh7uB5nnBh7uB5nmhh7uB5nnhh7uB5nmRh7uB5nnRh7uB5nmxh7uB5nnxh7uB7nmBh7uB7nnBh7uB7nmhh7uB7nnhh7uB7nmRh7uB7nnRh7uG7nmxh7OtXjAgOff2LM9bjgxNjD9bjQxNjD9bhwPFyPi8TD9bhoPFyPi8XD9bh4PFyPS8TD9bhkPFyPS8XD9bh0PFyPy8TD9bhsPFyPy8XD9bh8PFyPK8TD9bhiPFyPK8XD9bhyPFyPq8TDdbtqPJ3qcfVhVwvX4xrxcD2uGQ/X41rxcD2uHQ/X4zrxcD2uGw/X43rxcD2uHw/X4wbxcD1uGA/X40bxcD1uHA/X4ybxcD1uGg/X42bxcD1uHg/X4xbxcD1uGQ/X41bxcD1uHQ/X7TbxdKrH7YbdNlyP28fD9bhDPFyPO8bD9fjyeLged4qH63HneLged4mH6/EV8XA97hoP1+Nu8XA97h4P1+Me8XA97hkP1+Ne8XA9vjIersdXxcP1uHc8XI/7xMP1+Op4uB5fEw/X7b7xdKrH1w372nA97hcP1+P+8XA9vj4erscD4uF6fEM8XI8HxsP1+MZ4uB4Piofr8eB4uB7fFA/X4yHxcD2+OR6ux7fEw/V4aDxcj2+Nh+vxbfFwPb49Hq7Hw+Lhejw8Hq7Hd8TDdfvOeDrV47uGPSJcj++Oh+vxyHi4Ho+Kh+vx6Hi4Ho+Jh+vx2Hi4Ht8TD9fje+PhenxfPFyP74+H6/G4eLgePxAP1+Px8XA9nhAP1+OJ8XA9nhQP1+PJ8XA9nhIP1+Op8XA9nhYP1+3p8XSqxw8Oe0a4Hj8UD9fjmfFwPZ4VD9fj2fFwPZ4TD9fjufFwPX44Hq7Hj8TD9fjReLgez4uH6/Fj8XA9fjwersfz4+F6vCAerscL4+F6vCgersdPxMP1eHE8XI+fjIfr8VPxcN1eEk+nerxs2EvD9Xh5PFyPV8TD9XhlPFyPV8XD9Xh1PFyPn46H6/Ez8XA9fjYersfPxcP1+Pl4uB6/EA/X4zXxcD1eGw/X43XxcD1eHw/X4xfj4Xr8Ujxcj1+Oh+vxK/FwPd4QD9ftV+PpVI9fH/Zr4Xr8RjxcjzfGw/X4zXi4Hr8VD9fjTfFwPX47Hq7H78TD9fjdeLgeb46H6/GWeLgevxcP1+Ot8XA93hYP1+P34+F6/EE8XI8/jIfr8fZ4uB7viIfr8c54uB7viofr9kfxdKrHe4a9O1yP98bD9fjjeLgefxIP1+NP4+F6/Fk8XI/3xcP1+PN4uB5/EQ/X4y/j4Xr8VTxcj7+Oh+vx/ni4Hh+Ih+vxwXi4Hh+Kh+vx4Xi4Hh+Jh+vxN/FwPT4aD9fjb+Phun0snk71+Pthfxeuxz/Ew/X4x3i4Hv8UD9fjn+Phenw8Hq7HJ+LhevxLPFyPf42H6/HJeLgen4qH6/HpeLgen4mH6/HZeLge/xYP1+Pf4+F6/Ec8XI//jIfr8V/xcD0+Fw/X4/PxcN3+O55O9fifYV8I1+N/4+F6/F88XI8vxsP1+FI8XI9+GH0pXI8Tk2MP1+Pk5NjD9Tg1OfZwPU5Pjj1cjzNMjj1cjzNOjj1cjzNNjj1cjzNPjj1cj7NMjj1cj7NOjj1cj7NNjj1cj7NPjj1cj3NMjj1cj3NOjj1cj3NNjj1ct3NPjj2d6nHegc8zOeZ6nG9y7OF6nH9y7OF6XGBy7OF6XHBy7OF6XGhy7OF6XDgersdF4uF6XDQersfF4uF6XDwerscl4uF6XDIersel4uF6XDoersdl4uF6XDYersfl4uF6XD4erscV4uF6XDEertuV4ulUj6sMu3K4HleNh+txtXi4HlePh+txjXi4HteMh+txrXi4HteOh+txnXi4HteNh+txvXi4HtePh+txg3i4HjeMh+txo3i4HjeOh+txk3i4HjeNh+txs3i4HjePh+txi3i4breMp1M9bj3sVuF63CYersdt4+F63C4ersft4+F63CEerscd4+F6fHk8XI87xcP1uHM8XI+7xMP1+Ip4uB53jYfrcbd4uB53j4frcY94uB73jIfrca94uB5fGQ/X46vi4XrcOx6u233i6VSPrxn21eF63DcersfXxsP1+Lp4uB73i4frcf94uB5fHw/X4wHxcD2+IR6uxwPj4Xp8YzxcjwfFw/V4cDxcj2+Kh+vxkHi4Ht8cD9fjW+Lhejw0Hq7Ht8bD9fi2eLge3x4P1+1h8XSqx3cMe3i4Ht8ZD9fjEfFwPb4rHq7Hd8fD9XhkPFyPR8XD9Xh0PFyPx8TD9XhsPFyP74mH6/G98XA9vi8ersf3x8P1eFw8XI8fiIfr8fh4uB5PiIfr8cR4uB5Piofr8eR4uG5PiadTPZ427Knhejw9Hq7HM+LhevxgPFyPH4qH6/HMeLgez4qH6/HseLgez4mH6/HceLgePxwP1+NH4uF6/Gg8XI/nxcP1+LF4uB4/Hg/X4/nxcD1eEA/X44XxcD1eFA/X4yfi4bq9OJ5O9fipYT8ZrsdL4uF6vDQersfL4uF6vDwerscr4uF6vDIerser4uF6vDoersdPx8P1+Jl4uB4/Gw/X4+fi4Xr8fDxcj1+Ih+vxmni4Hq+Nh+vxuni4Hq+Ph+vxi/FwPX4pHq7bL8fTqR5vGPYr4Xr8ajxcj1+Lh+vx6/FwPX4jHq7HG+PhevxmPFyP34qH6/GmeLgevx0P1+N34uF6/G48XI83x8P1eEs8XI/fi4fr8dZ4uB5vi4fr8fvxcD3+IB6uxx/Gw/V4ezxct3fE06ke7xr2znA9/igerse74+F6vCcersd74+F6/HE8XI8/iYfr8afxcD3+LB6ux/vi4Xr8eTxcj7+Ih+vxl/FwPf4qHq7HX8fD9Xh/PFyPD8TD9fhgPFyPD8XD9fhwPFyPj8TDdfubeDrV42+HfTRcj4/Fw/X4u3i4Hn8fD9fjH+LhevxjPFyPf4qH6/HP8XA9Ph4P1+MT8XA9/iUerse/xsP1+GQ8XI9PxcP1+HQ8XI/PxMP1+Gw8XI9/i4fr8e/xcD3+Ix6ux3/Gw3X7r3g61ePzwz4Xrsd/x8P1+EI8XI//iYfr8b/xcD3+Lx6uxxfj4Xp8KR6uRxcWvxSux4mpsYfrcXJq7OF6nJoae7gep6fGHq7HGabGHq7HGafGHq7HmabGHq7HmafGHq7HWabGHq7HWafGHq7H2abGHq7H2afGHq7bOabGnk71ONfA55wacz3OPTX2cD3OMzX2cD3OOzX2cD3ONzX2cD3OPzX2cD0uMDX2cD0uODX2cD0uNDX2cD0uHA/X4yLxcD0uGg/X42LxcD0uHg/X4xLxcD0uGQ/X41LxcD0uHQ/X4zLxcD0uGw/X43LxcN0uH0+nelxx2BXC9bhSPFyPK8fD9bhKPFyPq8bD9bhaPFyPq8fD9bhGPFyPa8bD9bhWPFyPa8fD9bhOPFyP68bD9bhePFyP68fD9bhBPFyPG8bD9bhRPFyPG8fD9bhJPFyPm8bDdbtZPJ3qcYthNw/X45bxcD1uFQ/X49bxcD1uEw/X47bxcD1uFw/X4/bxcD3uEA/X447xcD2+PB6ux53i4XrcOR6ux13i4Xp8RTxcj7vGw/W4Wzxcj7vHw/W4Rzxcj3vGw/W4Vzxct6+Mp1M97j3sq8L1uE88XI+vjofr8TXxcD3uGw/X42vj4Xp8XTxcj/vFw/W4fzxcj6+Ph+vxgHi4Ht8QD9fjgfFwPb4xHq7Hg+Lhejw4Hq7HN8XD9XhIPFyPb46H6/Et8XA9HhoP1+1b4+lUj28f9m3hejwsHq7Hw+PhenxHPFyP74yH6/GIeLge3xUP1+O74+F6PDIersej4uF6PDoersdj4uF6PDYersf3xMP1+N54uB7fFw/X4/vj4Xo8Lh6uxw/Ew/V4fDxcjyfEw3V7Yjyd6vHkYU8K1+Mp8XA9nhoP1+Np8XA9nh4P1+MZ8XA9fjAerscPxcP1eGY8XI9nxcP1eHY8XI/nxMP1eG48XI8fjofr8SPxcD1+NB6ux/Pi4Xr8WDxcjx+Ph+vx/Hi4Hi+Ih+v2wng61eMnhr0oXI8Xx8P1+Ml4uB4/FQ/X4yXxcD1eGg/X42XxcD1eHg/X4xXxcD1eGQ/X41XxcD1eHQ/X46fj4Xr8TDxcj5+Nh+vxc/FwPX4+Hq7HL8TD9XhNPFyP18bD9XhdPFy318fTqR6/NOwXw/X45Xi4Hr8SD9fjDfFwPX41Hq7Hr8XD9fj1eLgevxEP1+ON8XA9fjMersdvxcP1eFM8XI/fjofr8TvxcD1+Nx6ux5vj4Xq8JR6ux+/Fw/V4azxcj7fFw/X4/Xi4bn8QT6d6vH3YH4br8Y54uB7vjIfr8a54uB5/FA/X493xcD3eEw/X473xcD3+OB6ux5/Ew/X403i4Hn8WD9fjffFwPf48Hq7HX8TD9fjLeLgefxUP1+Ov4+F6vD8erscH4uF6fDAertuH4ulUj48M+3C4Hn8TD9fjo/FwPf42Hq7Hx+LhevxdPFyPv4+H6/EP8XA9/jEersc/xcP1+Od4uB4fj4fr8Yl4uB7/Eg/X41/j4Xp8Mh6ux6fi4Xp8Oh6ux2fi4Xp8Nh6ux7/Fw3X793g61eM/h/1HuB7/FQ/X43PxcD0+Hw/X47/j4Xp8IR6ux//Ew/X433i4Hv8XD9fji/FwPb4UD9ejB3NfCtfjxPTYw/U4OT32cD1OTY89XI/T02MP1+MM02MP1+OM02MP1+NM02MP1+PM02MP1+Ms02MP1+2s02NPp3qcfeCzTY+5HueYHnu4HuecHnu4HueaHnu4HueeHnu4HueZHnu4HuedHnu4HuebHnu4HuefHnu4HheYHnu4HhecHnu4HheaHnu4HheOh+txkXi4HheNh+txsXi4HhePh+txiXi4HpeMh+txqXi4HpeOh+t2mXg61eNywy4brsfl4+F6XCEerscV4+F6XCkerseV4+F6XCUersdV4+F6XC0ersfV4+F6XCMersc14+F6XCserse14+F6XCcersd14+F6XC8ersf14+F63CAerscN4+F63CgertuN4+lUj5sOu0m4HjeLh+tx83i4HreIh+txy3i4HreKh+tx63i4HreJh+tx23i4HreLh+tx+3i4HneI939ZHc9CeJxd0mf0wIX49/Go31ChRCghQpH23nvvvffek4pCZVSoNChbUYSyMtuhqa1obyOzaZT/Off9fT34vq8n1znv83n4WmimGf7fLTz8tYa/Zvoiw187O33R4a+Tnb7Y8NfNTl98+Otlpy8x/PWz05cc/gbZ6UsNf8Ps9KWHv1F2+jLD3zi7ZYe/3PA3Hf4m6csPf7Ps9BWGv3l2+orD3yI7faXhb5mdvvLwt8pOX2X4W2enrzr8bbLTVxv+ttnpqw9/u+z0NYa/fXY6jztkp/O4Y3Y6jztlp/O4c3Y6j7tkp/O4a3Y6j7tlp/O4e3Y6j3tkp/O4Z3Y6t3tlxymP+wx/73Qe981O53G/7HQe989O5/GA7HQeD8xO5/Gg7HQeD85O5/GQ7HQeD81O5/Gw7HQeD89O5/GI7HQej8xO5/F92ek8vj87ncejstN5PDo7ncdjstN5/EB2Oo8fzE7n9tjsOOXxQ8M/Lp3HD2en8/iR7HQej89O5/GE7HQeT8xO5/Gj2ek8fiw7ncePZ6fz+InsdB5Pyk7n8eTsdB5PyU7n8ZPZ6Tx+Kjudx09np/N4anY6j6dlp/N4enY6j5/JTufxjOx0bs/MjlMezx7+Wek8fjY7ncfPZafzeE52Oo/nZqfz+PnsdB6/kJ3O4xez03n8UnY6j1/OTufxK9npPH41O53Hr2Wn83hedjqP52en8/j17HQev5GdzuMF2ek8XpidzuM3s9N5/FZ2OrcXZccpj98Z/rfTefxudjqPF2en83hJdjqP38tO5/H72ek8/iA7nccfZqfz+KPsdB4vzU7n8cfZ6Tz+JDudx59mp/P4s+x0Hn+enc7jL7LTebwsO53Hy7PTebwiO53HK7PTebwqO53bq7PjlMdrh39NOo+/zE7n8VfZ6Tz+Ojudx+uy03m8Pjudxxuy03m8MTudx5uy03m8OTudx99kp/N4S3Y6j7dmp/N4W3Y6j7dnp/N4R3Y6j3dmp/N4V3Y6j7/NTufx7ux0Hu/JTuf2d9lxyuO9w/99Oo/3ZafzeH92Oo8PZKfz+GB2Oo8PZafz+HB2Oo+PZKfz+Gh2Oo+PZafz+Hh2Oo9PZKfz+GR2Oo9/yE7n8Y/Z6Tz+KTudxz9np/P4VHY6j3/JTufxr9npPP4tO53bv2fHKY//HP4/0nl8Ojudx2ey03l8Njudx+ey03l8Pjudxxey03n8V3Y6j//OTufxP9npPP43O53HF7PTeXwpO53H/2Wn8zjDxHin8/iyifFO5/HlE+OdzuOME+OdzuNME+OdzuPExHin8zg5Md7p3E5NjHec8viKoU9PjDuPM0+MdzqPs0yMdzqPs06MdzqPr5wY73QeXzUx3uk8vnpivNN5nG1ivNN5nH1ivNN5fM3EeKfzOMfEeKfz+NqJ8U7n8XUT453O45wT453O4+snxjudxzdkp/P4xux0HufKTudx7ux0Ht+Unc7jPNnp3L45O055fOvw35LO47zZ6Ty+LTudx7dnp/M4X3Y6j+/ITufxndnpPL4rO53H+bPTeVwgO53Hd2en8/ie7HQeF8xO5/G92ek8LpSdzuPC2ek8LpKdzuOi2ek8LpadzuPi2ek8LpGdzu2S2XHK49LDXyqdx2Wy03lcNjudx+Wy03lcPjudxxWy03lcMTudx5Wy03lcOTudx1Wy03lcNTudx9Wy03lcPTudxzWy03lcMzudx7Wy03lcOzudx3Wy03lcNzudx/Wy03lcPzud2w2y45THjYa/YTqPG2en87hJdjqPm2an87hZdjqPm2en87hFdjqPW2an87hVdjqPW2en87hNdjqP22an87hddjqP22en87hDdjqPO2an87hTdjqPO2en87hLdjqPu2an87hbdjq3u2fHKY97Dn+PdB73yk7nce/sdB73yU7ncd/sdB73y07ncf/sdB4PyE7n8cDsdB4Pyk7n8eDsdB4PyU7n8dDsdB4Py07n8fDsdB6PyE7n8cjsdB7fl53O4/uz03k8Kjudx6Oz07k9JjtOefzg8D+QzuOx2ek8HpedzuOHstN5/HB2Oo8fyU7n8fjsdB5PyE7n8cTsdB4/mp3O48ey03n8eHY6j5/ITufxpOx0Hk/OTufxlOx0Hj+Znc7jp7LTefx0djqPp2an83hadjq3p2fHKY9nDP8z6TyemZ3O41nZ6TyenZ3O42ez03n8XHY6j+dkp/N4bnY6j5/PTufxC9npPH4xO53HL2Wn8/jl7HQev5KdzuNXs9N5/Fp2Oo/nZafzeH52Oo9fz07n8RvZ6TxekJ3O7YXZccrjt4b/zXQeL8pO5/Hb2ek8fic7ncfvZqfzeHF2Oo+XZKfz+L3sdB6/n53O4w+y03n8YXY6jz/KTufx0ux0Hn+cnc7jT7LTefxpdjqPP8tO5/Hn2ek8/iI7ncfLstN5vDw7ndsrsuOUx6uGf2U6j1dnp/N4TXY6j9dmp/P4y+x0Hn+Vnc7jr7PTebwuO53H67PTebwhO53HG7PTebwpO53Hm7PTefxNdjqPt2Sn83hrdjqPt2Wn83h7djqPd2Sn83hndjqPd2Wnc/vb7Djl8Z7h353O4++y03n8fXY6j/dmp/N4X3Y6j/dnp/P4QHY6jw9mp/P4UHY6jw9np/P4SHY6j49mp/P4WHY6j49np/P4RHY6j09mp/P4h+x0Hv+Ync7jn7LTefxzdjqPT2Wnc/uX7Djl8W/D/2s6j3/PTufxH9npPP4zO53Hp7PTeXwmO53HZ7PTeXwuO53H57PTeXwhO53Hf2Wn8/jv7HQe/5OdzuN/s9N5fDE7nceXstN5/F92Oo8zTI53Oo8vmxzvdB5fPjne6TzOODne6dzONDneccrj5NAnJsedx6nJ8U7ncXpyvNN5fMXkeKfzOPPkeKfzOMvkeKfzOOvkeKfz+MrJ8U7n8VWT453O46snxzudx9kmxzudx9knxzudx9dMjnc6j3NMjnc6j6+dHO90Hl83Od7pPM45Od7pPL5+crzTeXxDdjqPb8xO53Gu7HRu586OUx7nGf6b0nl8c3Y6j2/JTufxrdnpPM6bnc7j27LTeXx7djqP82Wn8/iO7HQe35mdzuO7stN5nD87nccFstN5fHd2Oo/vyU7nccHsdB7fm53O40LZ6TwunJ3O4yLZ6Twump3O7WLZccrjEsNfPJ3HJbPTeVwqO53HpbPTeVwmO53HZbPTeVwuO53H5bPTeVwhO53HFbPTeVwpO53HlbPTeVwlO53HVbPTeVwtO53H1bPTeVwjO53HNbPTeVwrO53HtbPTeVwnO53bdbPjlMf1h79eOo8bZKfzuGF2Oo8bZafzuHF2Oo+bZKfzuGl2Oo+bZafzuHl2Oo9bZKfzuGV2Oo9bZafzuHV2Oo/bZKfzuG12Oo/bZafzuH12Oo87ZKfzuGN2Oo87ZafzuHN2Ore7ZMcpj7sNf9d0HnfPTudxj+x0HvfMTudxr+x0HvfOTudxn+x0HvfNTudxv+x0HvfPTufxgOx0Hg/MTufxoOx0Hg/OTufxkOx0Hg/NTufxsOx0Hg/PTufxiOx0Ho/MTufxfdnp3L4/O055PHr4R6XzeEx2Oo8fyE7n8YPZ6Twem53O43HZ6Tx+KDudxw9np/P4kex0Ho/PTufxhOx0Hk/MTufxo9npPH4sO53Hj2en8/iJ7HQeT8pO5/Hk7HQeT8lO5/GT2ek8fio7ndtPZ8cpj6cN/9R0Hk/PTufxM9npPJ6Rnc7jmdnpPJ6Vnc7j2dnpPH42O53Hz2Wn83hOdjqP52an8/j57HQev5CdzuMXs9N5/FJ2Oo9fzk7n8SvZ6Tx+NTudx69lp/N4XnY6j+dnp3P79ew45fGC4X8jnccLs9N5/GZ2Oo/fyk7n8aLsdB6/nZ3O43ey03n8bnY6jxdnp/N4SXY6j9/LTufx+9npPP4gO53HH2an8/ij7HQeL81O5/HH2ek8/iQ7ncefZqfz+LPsdB5/np3O7S+y45THy4d/WTqPV2Sn83hldjqPV2Wn83h1djqP12Sn83htdjqPv8xO5/FX2ek8/jo7ncfrstN5vD47nccbstN5vDE7ncebstN5vDk7ncffZKfzeEt2Oo+3ZqfzeFt2Oo+3Z6dze0d2nPJ41/DvTOfxt9npPN6dnc7jPdnpPP4uO53H32en83hvdjqP92Wn83h/djqPD2Sn8/hgdjqPD2Wn8/hwdjqPj2Sn8/hodjqPj2Wn8/h4djqPT2Sn8/hkdjqPf8hO5/GP2enc/ik7Tnl8avh/TufxL9npPP41O53Hv2Wn8/j37HQe/5GdzuM/s9N5fDo7ncdnstN5fDY7ncfnstN5fD47nccXstN5/Fd2Oo//zk7n8T/Z6Tz+Nzudxxez03l8KTudx/9lp/M4w9R4p3P7sqnxjlMeZxz6y6fGnceZpsY7nceJqfFO53FyarzTeZyaGu90Hqenxjudx1dMjXc6jzNPjXc6j7NMjXc6j7NOjXc6j6+cGu90Hl81Nd7pPL56arzTeZxtarzTeZx9arzTeXzN1Hin8zjH1Hin8/jaqfFO5/F1U+OdzuOcU+OdzuPrp8Y7nds3ZMcpj3MN/43pPM6dnc7jm7LTeZwnO53HN2en8/iW7HQe35qdzuO82ek8vi07nce3Z6fzOF92Oo/vyE7n8Z3Z6Ty+Kzudx/mz03lcIDudx3dnp/P4nux0HhfMTufxvdnpPC6Unc7twtlxyuOiw18kncfFstN5XDw7ncclstN5XDI7ncelstN5XDo7ncdlstN5XDY7ncflstN5XD47nccVstN5XDE7nceVstN5XDk7ncdVstN5XDU7ncfVstN5XD07ncc1stN5XDM7ndu1suOUx3WGv3Y6j+tmp/O4XnY6j+tnp/O4QXY6jxtmp/O4UXY6jxtnp/O4SXY6j5tmp/O4WXY6j5tnp/O4RXY6j1tmp/O4VXY6j1tnp/O4TXY6j9tmp/O4XXY6j9tnp/O4Q3Y6tztmxymPOw9/p3Qed8lO53HX7HQed8tO53H37HQe98hO53HP7HQe98pO53Hv7HQe98lO53Hf7HQe98tO53H/7HQeD8hO5/HA7HQeD8pO5/Hg7HQeD8lO5/HQ7HQeD8tO5/Hw7HRuj8iOUx7fN/wj03l8f3Y6j0dlp/N4dHY6j8dkp/P4gex0Hj+Ync7jsdnpPB6Xnc7jh7LTefxwdjqPH8lO5/H47HQeT8hO5/HE7HQeP5qdzuPHstN5/Hh2Oo+fyE7n8aTsdB5Pzk7n9pTsOOXxU8P/ZDqPn85O5/HU7HQeT8tO5/H07HQeP5OdzuMZ2ek8npmdzuNZ2ek8np2dzuNns9N5/Fx2Oo/nZKfzeG52Oo+fz07n8QvZ6Tx+MTudxy9lp/P45ex0Hr+Snc7jV7PTuf1adpzyeP7wz0vn8evZ6Tx+Izudxwuy03m8MDudx29mp/P4rex0Hi/KTufx29npPH4nO53H72an83hxdjqPl2Sn8/i97HQev5+dzuMPstN5/GF2Oo8/yk7n8dLsdB5/nJ3O40+y07n9aXac8vjz4f8sncdfZKfzeFl2Oo+XZ6fzeEV2Oo9XZqfzeFV2Oo9XZ6fzeE12Oo/XZqfz+MvsdB5/lZ3O46+z03m8Ljudx+uz03m8ITudxxuz03m8KTudx5uz03n8TXY6j7dkp3N7a3ac8nj78G9L5/GO7HQe78xO5/Gu7HQef5udzuPd2ek83pOdzuPvstN5/H12Oo/3ZqfzeF92Oo/3Z6fz+EB2Oo8PZqfz+FB2Oo8PZ6fz+Eh2Oo+PZqfz+Fh2Oo+PZ6fz+ER2OrdPZscpj38c/h/SefxTdjqPf85O5/Gp7HQe/5KdzuNfs9N5/Ft2Oo9/z07n8R/Z6Tz+Mzudx6ez03l8Jjudx2ez03l8Ljudx+ez03l8ITudx39lp/P47+x0Hv+Tnc7jf7PTeXwxO53bl7LjlMcZpv//+186jy+bHu90Hl8+Pd7pPM44Pd7pPM40Pd7pPE5Mj3c6j5PT453O49T0eKfzOD093uk8vmJ6vNN5nHl6vNN5nGV6vNN5nHV6vNN5fOX0eKfz+Krp8U7n8dXT453O42zT453O4+zT453O42umxzudxzmmxzudx9dOj3c6t6+bHu845fH1w58zTnl8Q3Y6j2/MTudxrux0HufOTufxTdnpPM6Tnc7jm7PTeXxLdjqPb81O53He7HQe35adzuPbs9N5nC87ncd3ZKfz+M7sdB7flZ3O4/zZ6TwukJ3O47uz03l8T3Y6twtmxymPCw3/vek8LpydzuMi2ek8LpqdzuNi2ek8Lp6dzuMS2ek8LpmdzuNS2ek8Lp2dzuMy2ek8LpudzuNy2ek8Lp+dzuMK2ek8rpidzuNK2ek8rpydzuMq2ek8rpqdzuNq2encrp4dpzyuOfw10nlcKzudx7Wz03lcJzudx3Wz03lcLzudx/Wz03ncIDudxw2z03ncKDudx42z03ncJDudx02z03ncLDudx82z03ncIjudxy2z03ncKjudx62z03ncJjudx22z07ndLjtOedxh+Nun87hjdjqPO2Wn87hzdjqPu2Sn87hrdjqPu2Wn87h7djqPe2Sn87hndjqPe2Wn87h3djqP+2Sn87hvdjqP+2Wn87h/djqPB2Sn83hgdjqPB2Wn83hwdjqPh2Snc3todpzyePjwD0vn8Yjs/g/bLTa9eJxd0ukTEFIARfEQ9RTF/1e0EEWbUqRUFNlS0h7tm0ibEEkqS4pE0b6QQokIpWWmeb8P794vd+bM+Xh6dO5wYz3rD68/LPg99R8ND7+3/ojw8F71R4aH967/WHh4n/qPh4f3rT8qPPy++k+Eh99ff3R4eL/6Y8LDH6j/ZHj4g/XHhof3rz8uPHxA/fHh4Q/Vfyo8/OH6T4eHD6w/ITx8UP2J4eGD6z8THj6k/rPhDa3/SP3n6k8Krsfnw8P1+EJ4uB5fDA/X40vh4XqcHB6ux5fDw/U4JTxcj1PDw/X4Sni4HqeFh+vx1fBwPU4PD9fjjPBwPc4MD9fjrPBwPc4OD9fjnPBwPc4ND9fjvPBwPb4WHq7b18PTqR4X1J8fXI8Lw8P1uCg8XI+Lw8P1uCQ8XI9Lw8P1uCw8XI/Lw8P1uCI8XI8rw8P1+EZ4uB5XhYfr8c3wcD2+FR6ux9Xh4Xp8Ozxcj2vCw/W4Njxcj+vCw/W4PjxcjxvCw3X7Tng61eO79TcG1+N74eF6fD88XI+bwsP1+EF4uB4/DA/X4+bwcD1+FB6uxy3h4Xr8ODxcj1vDw/X4SXi4HreFh+txe3i4HneEh+vx0/BwPX4WHq7Hz8PD9fhFeLged4aH6/HL8HDd7gpPp3r8qv7u4Hr8Ojxcj3vCw/X4TXi4HveGh+vx2/BwPX4XHq7HfeHhetwfHq7H78PD9fhDeLgeD4SH6/FgeLgeD4WH6/FweLgej4SH6/FoeLgej4WH6/F4eLgeT4SH6/FkeLhufwxPp3o8Vf+n4Hr8OTxcj6fDw/V4Jjxcj7+Eh+vx1/BwPf4WHq7Hs+HhejwXHq7H38PD9Xg+PFyPf4SH6/HP8HA9XggP1+Nf4eF6/Ds8XI8Xw8P1+E94uB7/DQ/X43/h4Xq8FB6u28vh6VSPV+r/H1yPV8PD9XgtPFyPHUrr4Xq8qbQersebS+vheryltB6ux46l9XA93lpaD9fjbaX1cD12Kq2H67FzaT1cj6W0Hq7H20vr4XrsUloP12PX0nq4Hu8orYfr8c7Sergeu5XWw/XYvbQerse7Suvhur27tN51f2KiHQ==AQAAAACAAADARAAAdAsAAA==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AQAAAACAAACYCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSgYHAAAmNhNWQ==
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/Lambda/Lambda_2_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="1212" NumberOfCells="1100" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="12201" RangeMax="13520" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.9549" RangeMax="3.9713" offset="1968" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.0541" RangeMax="4.955" offset="3060" />
11
+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.023623" RangeMax="0.033704" offset="3292" />
12
+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.262" RangeMax="0.37381" offset="9324" />
13
+ </CellData>
14
+ <Points>
15
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.0092183641" RangeMax="7.0710678119" offset="15304" />
16
+ </Points>
17
+ <Cells>
18
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="20004" />
19
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="28000" />
20
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="30028" />
21
+ </Cells>
22
+ </Piece>
23
+ </UnstructuredGrid>
24
+ <AppendedData encoding="base64">
25
+ _AQAAAACAAABgIgAAsgUAAA==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AQAAAACAAABgIgAAmwAAAA==eJzt160KwgAAhdEiWP1BwaKYBatpsGiYZSs2NawsWQwmkzAWNFgEs+AjjIFpXXAmDRYtYhhosYiC1fsIXzrPcKJT8HZbOTNCxD/LXuc5WyCicn591JIUEZXZ3tIqWXlEFE6Oxri7QUTly7msV5kCIgqHOz859xFReWs3P/UtIioH8aHhVoqIKPw1ZISISjusTu97RFR+AbvHGoI=AQAAAACAAABgIgAAmhEAAA==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AQAAAACAAADQOAAAsg0AAA==eJxN1EFopHcdxvGNFKcHJ1gT0T1swNJWOoYqBefQJZk3LLoMNijVwxhWoZqCRUooWsQGYWmTpVhobK0sdBI2kJLx0INkPHjo9J8eehhhhZYwhwqltqJIjQV72EI9OF/I8zzvQOBzeIf39//lP99z5/aPb3avVuemn4cv7NmvP/CSfWfvuv3UEy/a77/wvH3pD8/ZL9981r7tg2fsR26/Zr9x99P2PZeu2s3Xn7T/8snP7Z32hv2dxx+173jlx/Zb//iB/dsv9ezvXXnI/vz1B+3Jm9+0r39mxe5dvmiff+rr9tuvftXu37rXvnL/XfaFxxbsdwZftG+897nanpu13TZq+5yxL/dvFXn82X/bD157t2Q/JyU7GZfsYVRy9qOS8x6WnLFfcq6dkrNs2aNvP26//sCa/cbdl2qzLdbmmbdfvvnJa/IrBzftP/7yhv3kjR/Zv/7Wp+3H3vnyKOfqLuWOzS7L99/2U/uOVw7s2ydv2tNPR/7f/Bfsj++9z/5o+Rv2h9+9Yn/wk5/Vntm2Hx//pvb8biczD2rfHdqPfvSa/c9f/dl+5PaJ/f4Lf7MfvnBqvzP42L7v/KeqvKtRZbfNKu+ds1v3na8yw4L9+z/dVWWeln3Ppa9Vma1tv3zzYpU5V+w7e5erzLxq33jvoSrz9+wLj/3QvnL/ut2/9aj99qsb9vmnnrB7lzftB69dtc9N2/XWV54+m2HPpl0y7ZJpl0y7ZNol0y6Zdsm0S6ZdMu2SaZdMu2TaJdMumXbJtEumXTLtkmmXTLtk2iXTLpl2ybRLpl0y7ZJpl0y7ZNqVPTdru23U9jlj0y6Zdsm0K/s5KdnJuGQPo5KzH5Wc97DkjP2Sc+2UnGXLpl25D2s27cpsi7V55m3aJdMumXbJtEumXTLtyrm6S7ljs8sy7codOLBplzz9dGTaJdMumXbJtEumXXlm26ZdeX63k5kHte8Obdol0678FiY27crdOLVpl0y78q5Gld02q7x3zqZdmWHBpl2Zp2XTrszWtmlX5lyxaVdmXrVpV+bv2bQrd2zdpl25hxs27cpd3bRpV/6/+8eT5rWzGfZs2iXTLpl2ybRLpl0y7ZJpl0y7ZNol0y6Zdsm0S6ZdMu2SaZdMu2TaJdMumXbJtEumXTLtkmmXTLtk2iXTLpl2ybRLpl3Zc7O220ZtnzM27ZJpl0y7sp+Tkp2MS/YwKjn7Ucl5D0vO2C85107JWbZs2pX7sGbTrsy2WJtn3qZdMu2SaZdMu2TaJdOunKu7lDs2uyzTrtyBA5t2ydNPR6ZdMu2SaZdMu2TalWe2bdqV53c7mXlQ++7Qpl0y7cpvYWLTrtyNU5t2ybQr72pU2W2zynvnbNqVGRZs2pV5Wjbtymxtm3ZlzhWbdmXmVZt2Zf6eTbtyx9Zt2pV7uGHTrtzVTZt25f+7f/zXD585m2HPpl0y7ZJpl0y7ZNol0y6Zdsm0S6ZdMu2SaZdMu2TaJdMumXbJtEumXTLtkmmXTLtk2iXTLpl2ybRLpl0y7ZJpl0y7ZNqVPTdru23U9jlj0y6Zdsm0K/s5KdnJuGQPo5KzH5Wc97DkjP2Sc+2UnGXLpl25D2s27cpsi7V55m3aJdMumXbJtEumXTLtyrm6S7ljs8sy7codOLBplzz9dGTaJdMumXbJtEumXXlm26ZdeX63k5kHte8Obdol0678FiY27crdOLVpl0y78q5Gld02q7x3zqZdmWHBpl2Zp2XTrszWtmlX5lyxaVdmXrVpV+bv2bQrd2zdpl25hxs27cpd3bRpV/6/+8fvvvns2Qx7Nu2SaZdMu2TaJdMumXbJtEumXTLtkmmXTLtk2iXTLpl2ybRLpl0y7ZJpl0y7ZNol0y6Zdsm0S6ZdMu2SaZdMu2TaJdOu7LlZ222jts8Zm3bJtEumXdnPSclOxiV7GJWc/ajkvIclZ+yXnGun5CxbNu3KfVizaVdmW6zNM2/TLpl2ybRLpl0y7ZJpV87VXcodm12WaVfuwIFNu+TppyPTLpl2ybRLpl0y7coz2zbtyvO7ncw8qH13aNMumXbltzCxaVfuxqlNu2TalXc1quy2WeW9czbtygwLNu3KPC2bdmW2tk27MueKTbsy86pNuzJ/z6ZduWPrNu3KPdywaVfu6qZNu/L/3T/++/C5sxn2bNol0y6Zdsm0S6ZdMu2SaZdMu2TaJdMumXbJtEumXTLtkmmXTLtk2iXTLpl2ybRLpl0y7ZJpl0y7ZNol0y6Zdsm0S6Zd2XOztttGbZ8zNu2SaZdMu7Kfk5KdjEv2MCo5+1HJeQ9LztgvOddOyVm2bNqV+7Bm067MtlibZ96mXTLtkmmXTLtk2iXTrpyru5Q7Nrss067cgQObdsnTT0emXTLtkmmXTLtk2pVntm3aled3O5l5UPvu0KZdMu3Kb2Fi067cjVObdsm0K+9qVNlts8p752zalRkWbNqVeVo27cpsbZt2Zc4Vm3Zl5lWbdmX+nk27csfWbdqVe7hh067c1U2bduX/u3/8r989fzbDnk27ZNol0y6Zdsm0S6ZdMu2SaZdMu2TaJdMumXbJtEumXTLtkmmXTLtk2iXTLpl2ybRLpl0y7ZJpl0y7ZNol0y6Zdsm0K3tu1nbbqO1zxqZdMu2SaVf2c1Kyk3HJHkYlZz8qOe9hyRn7JefaKTnLlk27ch/WbNqV2RZr88zbtEumXTLtkmmXTLtk2pVzdZdyx2aXZdqVO3Bg0y55+unItEumXTLtkmmXTLvyzLZNu/L8biczD2rfHdq0S6Zd+S1MbNqVu3Fq0y6ZduVdjSq7bVZ575xNuzLDgk27Mk/Lpl2ZrW3Trsy5YtOuzLxq067M37NpV+7Yuk27cg83bNqVu7pp0678f/eP//OLF89m2LNpl0y7ZNol0y6Zdsm0S6ZdMu2SaZdMu2TaJdMumXbJtEumXTLtkmmXTLtk2iXTLpl2ybRLpl0y7ZJpl0y7ZNol0y6ZdmXPzdpuG7V9zti0S6ZdMu3Kfk5KdjIu2cOo5OxHJec9LDljv+RcOyVn2bJpV+7Dmk27MttibZ55m3bJtEumXTLtkmmXTLtyru5S7tjssky7cgcObNolTz8dmXbJtEumXTLtkmlXntm2aVee3+1k5kHtu0Obdsm0K7+FiU27cjdObdol0668q1Flt80q752zaVdmWLBpV+Zp2bQrs7Vt2pU5V2zalZlXbdqV+Xs27codW7dpV+7hhk27clc3bdqV/+/+8X+/f/1shj2bdsm0S6ZdMu2SaZdMu2TaJdMumXbJtEumXTLtkmmXTLtk2iXTLpl2ybRLpl0y7ZJpl0y7ZNol0y6Zdsm0S6ZdMu2SaVf23KzttlHb54xNu2TaJdOu7OekZCfjkj2MSs5+VHLew5Iz9kvOtVNyli2bduU+rNm0K7Mt1uaZt2mXTLtk2iXTLpl2ybQr5+ou5Y7NLsu0K3fgwKZd8vTTkWmXTLtk2iXTLpl25Zltm3bl+d1OZh7Uvju0aZdMu/JbmNi0K3fj1KZdMu3KuxpVdtus8t45m3ZlhgWbdmWelk27Mlvbpl2Zc8WmXZl51aZdmb9n067csXWbduUebti0K3d106Zd+f/uH9+6+NLZDHs27ZJpl0y7ZNol0y6Zdsm0S6ZdMu2SaZdMu2TaJdMumXbJtEumXTLtkmmXTLtk2iXTLpl2ybRLpl0y7ZJpl0y7ZNol067suVnbbaO2zxmbdsm0S6Zd2c9JyU7GJXsYlZz9qOS8hyVn7Jeca6fkLFs27cp9WLNpV2ZbrM0zb9MumXbJtEumXTLtkmlXztVdyh2bXZZpV+7AgU275OmnI9MumXbJtEumXTLtyjPbNu3K87udzDyofXdo0y6ZduW3MLFpV+7GqU27ZNqVdzWq7LZZ5b1zNu3KDAs27co8LZt2Zba2Tbsy54pNuzLzqk27Mn/Ppl25Y+s27co93LBpV+7qpk278v/dP/7kwt7ZDHs27ZJpl0y7ZNol0y6Zdsm0S6ZdMu2SaZdMu2TaJdMumXbJtEumXTLtkmmXTLtk2iXTLpl2ybRLpl0y7ZJpl0y7ZNol067suVnbbaO2zxmbdsm0S6Zd2c9JyU7GJXsYlZz9qOS8hyVn7Jeca6fkLFs27cp9WLNpV2ZbrM0zb9MumXbJtEumXTLtkmlXztVdyh2bXZZpV+7AgU275OmnI9MumXbJtEumXTLtyjPbNu3K87udzDyofXdo0y6ZduW3MLFpV+7GqU27ZNqVdzWq7LZZ5b1zNu3KDAs27co8LZt2Zba2Tbsy54pNuzLzqk27Mn/Ppl25Y+s27co93LBpV+7qpk278v/dP57+nc2wZ9MumXbJtEumXTLtkmmXTLtk2iXTLpl2ybRLpl0y7ZJpl0y7ZNol0y6Zdsm0S6ZdMu2SaZdMu2TaJdMumXbJtEumXTLtyp6btd02avucsWmXTLtk2pX9nJTsZFyyh1HJ2Y9KzntYcsZ+ybl2Ss6yZdOu3Ic1m3ZltsXaPPM27ZJpl0y7ZNol0y6ZduVc3aXcsdllmXblDhzYtEuefjoy7ZJpl0y7ZNol0648s23Trjy/28nMg9p3hzbtkmlXfgsTm3blbpzatEumXXlXo8pum1XeO2fTrsywYNOuzNOyaVdma9u0K3Ou2LQrM6/atCvz92zalTu2btOu3MMNm3blrm7atEv+P6Z3wkA=AgAAAACAAACACQAAohUAALUBAAA=eJxd3dUTQFXZRnFP0N3d3d3d3d3dqYAgJYLSoXR3l9LdCkooqXQrLSkd38V3fhfvc26emTXrH1h75uz9s5/9/9cMu+OwOwRvh90pPLwbdufw8H7YXcLDRxh21/DwEYfdLTx8pGF3Dw8fedg9wsNHGXbP8PBRh90rPHy0YfcODx992J+Hh48x7C/Cw8ccdp/w8LGG3Tc8fOxh9wsPH2fYX4aHjzvs/uHh4w17QHj4+MP+Kjx8gmEPDA+fcNiDwsMnGvbg8PCJhz0kPHySYQ8ND5902F+Hh0827GHh4ZMP+5vw8CmGPTw8fMphjwgPn2rY34aHTz3s78LDpxn2yPDwaYc9Kjx8umGPDg+ffthjwsNnGPbY8PAZhz0uPHymYY8PD5952BPCw2cZ9sTw8FmHPSk8fLZhfx8ePvuwfwgPn2PYk8PD5xz2lPDwuYY9NTx87mFPCw+fZ9jTw8PnHfaM8PD5hj0zPHz+Yc8KD19g2LPDwxcc9pzw8IWGPTc8fOFhzwsPX2TY88PDFx32gvDwxYa9MDx88WEvCg9fYtiLw8OXHPaS8PClhr00PHzpYS8LD19m2MvDw5cd9orw8OWGvTI8fPlhrwoPX2HYq8PDVxz2mvDwlYa9Njx85WGvCw9fZdjrw8NXHfaP4eGrDfun8PDVh70hPHyNYW8MD19z2JvCw9ca9ubw8LWHvSU8fJ1hbw0PX3fY28LD1xv29vDw9Ye9Izx8g2HvDA/fcNi7wsM3Gvbu8PCNh70nPHyTYe8ND9902PvCwzcb9v7w8M2HfSA8fIthHwwP33LYh8LDtxr2z+HhWw/7l/DwbYZ9ODx822EfCQ/fbti/hodvP+zfwtMZeuKxYR8NriceDw/XE0+Eh+uJv4eH64l/hIfriSfDw/XEU+HheuLp8HA98Ux4uJ54NjxcTzwXHq4n/hkerif+FR6uJ54PD9cTL4SH64kXw8P1xEvh4Xri5fBwPfFKeLieeDU8XE+8Fh6uJ14PD9cTb4SH64k3w8P1xFvh4Xri7fDww4b9d3i4nvhPeLieeCc8XE+8Gx6uJ94LD9cT74eH64kPwsP1xIfh4Xrio/BwPfHf8HA98XF4uJ74JDxcT3waHq4nPgsP1xOfh4friS/Cw/XE/8LD9cSX4eF64qvwcD3xdXi4nvgmPFxPfBserie+Cw/XE9+Hh+uJH8LD9cSP4eF64qfwcD3hQOyn4HqiaaqH64m2qR6uJ7qmerie6Jvq4RcOO0JTPVxPjNhUD9cTIzXVw/XEyE31cD0xSlM9XE+M2lQP1xOjNdXD9cToTfVwPTFGUz1cT4zZVA/XE2M11cP1xNhN9XA9MU5TPVxPjNtUD9cT4zXVw/XE+E31cD0xQVM9XE9M2FQP1xMTNdXD9cTETfVwPTFJUz1cT0zaVA/XE5M11cP1xORN9XA9MUVTPVxPTNlUD9cTUzXVw/XE1E31cD0xTVM9XE9M21QP1xPTNdXD9cT0TfXw+4edoakeridmbKqH64mZmurhemLmpnq4npilqR6uJ2Ztqofridma6uF6YvameriemKOpHq475myqpzP0xNwDn6upXE/M01QP1xPzNtXD9cR8TfVwPTF/Uz1cTyzQVA/XEws21cP1xEJN9XA9sXBTPVxPLNJUD9cTizbVw/XEYk31cD2xeFM9XE8s0VQP1xNLNtXD9cRSTfVwPbF0Uz1cTyzTVA/XE8s21cP1xHJN9XA9sXxTPfz1YVdoqoe/MeyKTfVwPbFSUz1cT6zcVA/XE6s01cP1xKpN9XA9sVpTPVxPrN5UD9cTazTVw/XEmk31cD2xVlM9XE+s3VQP1xPrNNXD9cS6TfVwPbFeUz1cT6zfVA/XExs01cP1xIZN9XA9sVFTPVxPbNxUD9cTmzTVw/XEpk31cD2xWVM9XE9s3lQP1xNbNNXD9cSWTfVwPbFVUz1cT2zdVA/XE9s01cP1xLZN9XA9sV1TPVxPbN9UD9cTOzTVw/XEjuHhemKn8HA9sXN4uJ7YJTxcT+waHq4ndgsP1xO7h4friT3Cw/XEnuHhemKv8HA9sXd4uJ74eXi4nvhFeLie2Cc8XE/sGx6uJ/YLD9cTvwwP1xP7h4friQPCw/XEr8LD9cSB4eF64qDwcD1xcHi4njgkPFxPHBoerid+HR6uJw4LD9cTvwkP1xOHh4friSPCw/XEb8PD9cTvwsP1xJHh4XriqPBwPXF0eLieOCY8XE8cGx6uJ44LD9cTx4eH64kTwsP1xInh4XripPBwPfH78HA98YfwcD1xcni47jglPJ2hJ04b9tTgeuL08HA9cUZ4uJ44MzxcT5wVHq4nzg4P1xPnhIfriXPDw/XEeeHheuL88HA9cUF4uJ64MDxcT1wUHq4nLg4P1xOXhIfriUvDw/XEZeHheuLy8HA9cUV4uJ64MjxcT1wVHq4nrg4P1xPXhIfriWvDw/XEdeHheuL68HA98cfwcD3xp/BwPXFDeLieuDE8XE/cFB6uJ24OD9cTt4SH64lbw8P1xG3h4Xri9vBwPXFHeLieuDM8XE/cFR6uJ+4OD9cT94SH64l7w8P1xH3h4Xri/vBwPfFAeLieeDA8XE88FB6uJ/4cHq4n/hIericeDg/XE4+Eh+uJv4aH64m/hYfriUfDw/XEY+HheuLx8HA98UR4uJ74e3i4nvhHeLieeDI8XE88FR6uJ54OD9cTz4SH64lnw8P1xHPh4Xrin+HheuJf4eF64vnwcD3xQni4nngxPFxPvBQerideDg/XE6+Eh+uJV8PD9cRr4eF64vXwcD3xRni4nngzPFxPvBUerifeDg/XE/8OD9cT/wkP1xPvhIfriXfDw/XEe+HheuL98HA98UF4uJ74MDxcT3wUHq4n/hseric+Dg/XE5+Eh+uJT8PD9cRn4eF64vPwcD3xRXi4nvhfeLie+DI8XE98FR6uO74OT2foiW+H/Sa4nvguPFxPfB8erid+CA/XEz+Gh+uJn8LD9YQfUn4Krieatnq4nmjb6uF6omurh+uJvq0eridGaKuH64kR2+rhemKktnq4nhi5rR6uJ0Zpq4friVHb6uF6YrS2erieGL2tHq4nxmirh+uJMdvq4XpirLZ6uJ4Yu60erifGaauH64lx2+rhemK8tnq4nhi/rR6uJyZoq4friQnb6uF6YqK2eriemLitHq4nJmmrh+uJSdvq4XpisrZ6uJ6YvK0eriemaKuH64kp2+rhemKqtnq4npi6rR6uJ6Zpq4friWnb6uF6Yrq2eriemL6tHq4nZmirh+uJGdvq4XpiprZ6uJ6Yua0eridmaauH64lZ2+rhemK2tnq4npi9rR6uJ+Zoq4friTnb6uF6Yq62eriemLutHq4n5mmrh+uJedvq4XpivrZ6uJ6Yv60ericWaKuH64kF2+rhemKhtnq4nli4rR6uJxZpq4friUXb6uF6YrG2erieWLytHq4nlmirh+uJJdvq4XpiqbZ6uJ5Yuq0erieWaauH64ll2+rhemK5tnq4nli+rR6uJ1Zoq4friRXb6uF6YqW2erieWLmtHq4nVmmrh+uJVdvq4XpitbZ6uJ5Yva0erifWaKuH64k12+rhemKttnq4nli7rR6uJ9Zpq4friXXb6uF6Yr22erieWL+tHq4nNmirh+uJDdvq4Xpio7Z6uJ7YuK0eric2aauH64lN2+rhemKztnq4nti8rR6uO7Zoq6cz9MRWA9+yrVxPbN1WD9cT27TVw/XEtm31cD2xXVs9XE9s31YP1xM7tNXD9cSO4eF6YqfwcD2xc3i4ntglPFxP7Boerid2Cw/XE7uHh+uJPcLD9cSe4eF6Yq/wcD2xd3i4nvh5eLie+EV4uJ7YJzxcT+wbHq4n9gsP1xO/DA/XE/uHh+uJA8LD9cSvwsP1xIHh4XrioPBwPXFweLieOCQ8XE8cGh6uJ34dHq4nDgsP1xO/CQ/XE4eHh+uJI8LD9cRvw8P1xO/Cw/XEkeHheuKo8HA9cXR4uJ44JjxcTxwbHq4njgsP1xPHh4friRPCw/XEieHheuKk8HA98fvwcD3xh/BwPXFyeLieOCU8XE+cGh6uJ04LD9cTp4eH64kzwsP1xJnh4XrirPBwPXF2eLieOCc8XE+cGx6uJ84LD9cT54eH64kLwsP1xIXh4XriovBwPXFxeLieuCQ8XE9cGh6uJy4LD9cTl4eH64krwsP1xJXh4XriqvBwPXF1eLieuCY8XE9cGx6uJ64LD9cT14eH64k/hofriT+Fh+uJG8LD9cSN4eF64qbwcD1xc3i4nrglPFxP3BoeriduCw/XE7eHh+uJO8LD9cSd4eF64q7wcD1xd3i4nrgnPFxP3BserifuCw/XE/eHh+uJB8LDdceD4ekMPfHnYR8Krif+Eh6uJx4OD9cTj4SH64m/hofrib+Fh+uJR8PD9cRj4eF64vHwcD3xRHi4nvh7eLie+Ed4uJ54MjxcTzwVHq4nng4P1xPPhIfriWfDw/XEc+HheuKf4eF64l/h4Xri+fBwPfFCeLieeDE8XE+8FB6uJ14OD9cTr4SH64lXw8P1xGvh4Xri9fBwPfFGeLieeDM8XE+8FR6uJ94OD9cT/w4P1xP/CQ/XE++Eh+uJd8PD9cR74eF64v3wcD3xQXi4nvgwPFxPfBQerif+Gx6uJz4OD9cTn4SH64lPw8P1xGfh4Xri8/BwPfFFeLie+F94uJ74MjxcT3wVHq4nvg4P1xPfhIfriW/Dw/XEd+HheuL78HA98UN4uJ74MTxcT/wUHq4nXBj5U3A90XTVw/VE21UP1xNdVz1cT/Rd9XA9MUJXPVxPjNhVD9cTI3XVw/XEyF31cD0xSlc9XE+M2lUP1xOjddXD9cToXfVwPTFGVz1cT4zZVQ/XE2N11cP1xNhd9XA9MU5XPVxPjNtVD9cT43XVw/XE+F31cD0xQVc9XE9M2FUP1xMTddXD9cTEXfVwPTFJVz1cT0zaVQ/XE5N11cP1xORd9XA9MUVXPVxPTNlVD9cTU3XVw/XE1F31cD0xTVc9XE9M21UP1xPTddXD9cT0XfVwPTFDVz1cT8zYVQ/XHTN11dMZemKWgc/cVa4nZu2qh+uJ2brq4Xpi9q56uJ6Yo6serifm7KqH64m5uurhemLurnq4npinqx6uJ+btqofrifm66uF6Yv6uerieWKCrHq4nFuyqh+uJhbrq4Xpi4a56uJ5YpKsericW7aqH64nFuurhemLxrnq4nliiqx6uJ5bsqofriaW66uF6YumuerieWKarHq4nlu2qh+uJ5brq4Xpi+a56uJ5YoaseridW7KqH64mVuurhemLlrnq4nlilqx6uJ1btqofridW66uF6YvWuerieWKOrHq4n1uyqh+uJtbrq4Xpi7a56uJ5Yp6serifW7aqH64n1uurhemL9rnq4ntigqx6uJzbsqofriY266uF6YuOuerie2KSrHq4nNu2qh+uJzbrq4Xpi8656uJ7Yoqserie27KqH64mtuurhemLrrnq4ntimqx6uJ7btqofrie266uF6Yvuuerie2KGrHq4ndgwP1xM7hYfriZ3Dw/XELuHhemLX8HA9sVt4uJ7YPTxcT+wRHq4n9gwP1xN7hYfrib3Dw/XEz8PD9cQvwsP1xD7h4Xpi3/BwPbFfeLie+GV4uJ7YPzxcTxwQHq4nfhUericODA/XEweFh+uJg8PD9cQh4eF64tDwcD3x6/BwPXFYeLie+E14uJ44PDxcTxwRHq4nfhserid+Fx6uJ44MD9cTR4WH64mjw8P1xDHh4Xri2PBwPXFceLjuOD48naEnThz2hOB64qTwcD3x+/BwPfGH8HA9cXJ4uJ44JTxcT5waHq4nTgsP1xOnh4friTPCw/XEmeHheuKs8HA9cXZ4uJ44JzxcT5wbHq4nzgsP1xPnh4friQvCw/XEheHheuKi8HA9cXF4uJ64JDxcT1waHq4nLgsP1xOXh4friSvCw/XEleHheuKq8HA9cXV4uJ64JjxcT1wbHq4nrgsP1xPXh4friT+Gh+uJP4WH64kbwsP1xI3h4XripvBwPXFzeLieuCU8XE/cGh6uJ24LD9cTt4eH64k7wsP1xJ3h4XrirvBwPXF3eLieuCc8XE/cGx6uJ+4LD9cT94eH64kHwsP1xIPh4XriofBwPfHn8HA98ZfwcD3xcHi4nngkPFxP/DU8XE/8LTxcTzwaHq4nHgsP1xOPh4friSfCw/XE38PD9cQ/wsP1xJPh4XriqfBwPfF0eLieeCY8XE88Gx6uJ54LD9cT/wwP1xP/Cg/XE8+Hh+uJF8LD9cSL4eF64qXwcD3xcni4nnglPFxPvBoerideCw/XE6+Hh+uJN8LD9cSb4eF64q3wcD3xdni4nvh3eLie+E94uJ54JzxcT7wbHq4n3gsP1xPvh4friQ/Cw/XEh+HheuKj8HA98d/wcD3xcXi4nvgkPFx3fBqeztATnw/7WXA98UV4uJ74X3i4nvgyPFxPfBUerie+Dg/XE9+Eh+uJb8PD9cR34eF64vvwcD3xQ3i4nvgxPFxP/BQeric82PhTcD3R9NXD9UTbVw/XE11fPVxP9H31cD0xQl89XE+M2FcP1xMj9dXD9cTIffVwPTFKXz1cT4zaVw/XE6P11cP1xOh99XA9MUZfPVxPjNlXD9cTY/XVw/XE2H31cD0xTl89XE+M21cP1xPj9dXD9cT4ffVwPTFBXz1cT0zYVw/XExP11cP1xMR99XA9MUlfPVxPTNpXD9cTk/XVw/XE5H31cD0xRV89XE9M2VcP1xNT9dXD9cTUffVwPTFNXz1cT0zbVw/XE9P11cP1xPR99XA9MUNfPVxPzNhXD9cTM/XVw/XEzH31cD0xS189XE/M2lcP1xOz9dXD9cTsffVwPTFHXz1cT8zZVw/XE3P11cP1xNx99XA9MU9fPVxPzNtXD9cT8/XVw/XE/H31cD2xQF89XE8s2FcP1xML9dXD9cTCffVwPbFIXz1cTyzaVw/XE4v11cP1xOJ99XA9sURfPVxPLNlXD9cTS/XVw/XE0n31cD2xTF89XE8s21cP1xPL9dXD9cTyffVwPbFCXz1cT6zYVw/XEyv11cP1xMp99XA9sUpfPVxPrNpXD9cTq/XVw/XE6n31cD2xRl89XE+s2VcP1xNr9dXD9cTaffVwPbFOXz1cT6zbVw/XE+v11cP1xPp99XA9sUFfPVx3bNhXT2foiY0HvlFfuZ7YpK8eric27auH64nN+urhemLzvnq4ntiirx6uJ7bsq4fria366uF6Yuu+erie2KavHq4ntu2rh+uJ7frq4Xpi+756uJ7Yoa8erid2DA/XEzuFh+uJncPD9cQu4eF6YtfwcD2xW3i4ntg9PFxP7BEerif2DA/XE3uF938YiQYReJxdyldXCAAAhmEXrpBZskM2IRnZIYqUmb9hhuy9tyIjlFUSEjL+XOc473fzfjfPOd95hw0d8n/D8RAe1D8CD6vLX4BH1OUfiUfV5R+Fx9TlH41N6vKPwePq8o/FE+ryj8OT6vIXYrO6/EV4Sl3+8XhaXf5iPKMu/wQ8qy7/RDynLv8kPK8u/2S8oC7/FLyoLv9UvKQu/zS8rC5/CV5Rl386XlWXfwZeU5d/Jl5Xl78Ub6jLPwtvqss/G2+pyz8Hb6vLPxfvqMs/D++qyz8f76nLvwDvq8u/EB+oy78IH6rLX4aP1OVfjI/V5V+CLeryL8VWdfnL8Ym6/Mvwqbr8FdimLv9yfKYu/wp8ri7/SnyhLv8qfKkufyW2q8u/Gl+py78GX6vLvxbfqMu/DjvU5V+Pneryb8C36vJvxHfq8lfhe3X5N+EHdfk340d1+bdgl7r81ditLv9W/KQu/zbsUZe/Bj+ry1+Lveryb8cv6vLvwK/q8tfhN3X5d2Kfuvz1+F1d/gbsV5d/F/5Ql383/lSXfw/+Upd/Lw6oy78Pf6vLvx//qMvfiH/V5T+A/9QNAuQGebk=AQAAAACAAABgIgAA3wUAAA==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eJzj5BwFo2AUjALKAQAyByat
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/Lambda/Lambda_300000.pvtu ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <PUnstructuredGrid GhostLevel="0">
6
+ <PCellData>
7
+ <PDataArray type="Float64" Name="id"/>
8
+ <PDataArray type="Float64" Name="xc"/>
9
+ <PDataArray type="Float64" Name="yc"/>
10
+ <PDataArray type="Float64" Name="c_6[1]"/>
11
+ <PDataArray type="Float64" Name="c_6[2]"/>
12
+ </PCellData>
13
+ <PPoints>
14
+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
15
+ </PPoints>
16
+ <Piece Source="Lambda_0_300000.vtu"/>
17
+ <Piece Source="Lambda_1_300000.vtu"/>
18
+ <Piece Source="Lambda_2_300000.vtu"/>
19
+ <Piece Source="Lambda_3_300000.vtu"/>
20
+ </PUnstructuredGrid>
21
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/Lambda/Lambda_3_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="276" NumberOfCells="242" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="12301" RangeMax="13542" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0615" RangeMax="5.9549" offset="508" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.0541" RangeMax="4.955" offset="808" />
11
+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.01803" RangeMax="0.033596" offset="976" />
12
+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.19997" RangeMax="0.37261" offset="3420" />
13
+ </CellData>
14
+ <Points>
15
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.6748189645" RangeMax="7.8102496759" offset="5772" />
16
+ </Points>
17
+ <Cells>
18
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="6712" />
19
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="8388" />
20
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="8920" />
21
+ </Cells>
22
+ </Piece>
23
+ </UnstructuredGrid>
24
+ <AppendedData encoding="base64">
25
+ _AQAAAACAAACQBwAAawEAAA==eJwtx+e6CAQAgOGP7JWuw95lnuyRrkO2yhYnonA19hYV4WLsvR/Peb8/3/NWDY66N9CXRg990BvD3lj2xrE3nr0J7E1kbxJ7X7M3mb1veAWvZG8Ve6vZW8PeWvbWsbeevQ3s/cDeRvZ+5EH+nb2j7B1j7w/2jrN3gr0/2fuLvZPsnWLvNN/gm+z9zd4t9m6z9w97/7L3H3t32LvL3v/s3eO3/I699+x9YO8je5/Y6/6QvWHsDWfvK/ZGsDeSF/C37H3H3kL2FrG3mL0l7C1lbxl7A+x9z95y/pV3s7eHvb3s7WNvP3sH2DvI3iH2fmPvMHtH+AyfZe8ce+fZu8DeRfYusXeZvSvsXWXvGnvX+SE/Yu8xe0/Ye8reM/aes/eCvZfsvWLvNXtveMqDIU8d+qA3jb3p7M1gbyZ7s9ibzd4c9uayN4+9+byJf2JvM3tb2NvK3jb2trO3g72d7O1i72f2fnkw8BkBLKcMAQAAAACAAACQBwAAzQAAAA==eJx7ekHp9k87AYc47xPstrMFHD5tCMie9V3AoV3s5rnvwYIODBPrflttEHSY8o0tfgaPkINmTP+hrxlCDguvmby3OCrkYGazN2iaorDD6YWu2z7XCjs4y7x+ZHZL2OFGY7HbFDMRh4A/EsXXJ4k4PE0E6RBxqDquaTXJW9Thk+P5tKvLRR3al4efMmIRc5DmfaA7IUHMYUp7a9TlPWIOmm959xlIijuATO8rFXcwO2vtd/GiuMPTUfeOunfUvaPuHXXvqHuHoXsBLeY7ag==AQAAAACAAACQBwAAawAAAA==eJzbdavrb6q5gMOuIUKLZfl+7ps8dOj+J5/kL70fOjR7/AwfUR/BIUPX37StjFgxdOgfwY+XzmYRGjJ0wbmOS/cShg790kPvv+LeoUMnHr6snSopPGRocDIuHTp00A651tcXhw4NAEKAUp4=AQAAAACAAACQBwAAFQcAAA==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AQAAAACAAACQBwAA0gYAAA==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AQAAAACAAABAHgAA1wQAAA==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AQAAAACAAADyAAAADAAAAA==eJzj5BxpAAAK4QiD
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/grid/Grid_3_300000.vtu ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="276" NumberOfCells="242" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="12301" RangeMax="13542" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0615" RangeMax="5.9549" offset="508" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.0541" RangeMax="4.955" offset="808" />
11
+ <DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="29.939" RangeMax="76.711" offset="976" />
12
+ <DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="3.9757e+19" RangeMax="1.0187e+20" offset="2620" />
13
+ <DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="2.6359e-06" RangeMax="6.7537e-06" offset="5084" />
14
+ <DataArray type="Float64" Name="f_1[4]" format="appended" RangeMin="1744.7" RangeMax="1971.2" offset="7580" />
15
+ <DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-0.40778" RangeMax="463.75" offset="8468" />
16
+ <DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-2.3597" RangeMax="3.5247" offset="10148" />
17
+ <DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.15067" RangeMax="1.242" offset="12548" />
18
+ <DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="273.4" RangeMax="885.99" offset="14852" />
19
+ <DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0" RangeMax="0" offset="16088" />
20
+ <DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0" RangeMax="0" offset="16144" />
21
+ </CellData>
22
+ <Points>
23
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.6748189645" RangeMax="7.8102496759" offset="16200" />
24
+ </Points>
25
+ <Cells>
26
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="17140" />
27
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="18816" />
28
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="19348" />
29
+ </Cells>
30
+ </Piece>
31
+ </UnstructuredGrid>
32
+ <AppendedData encoding="base64">
33
+ _AQAAAACAAACQBwAAawEAAA==eJwtx+e6CAQAgOGP7JWuw95lnuyRrkO2yhYnonA19hYV4WLsvR/Peb8/3/NWDY66N9CXRg990BvD3lj2xrE3nr0J7E1kbxJ7X7M3mb1veAWvZG8Ve6vZW8PeWvbWsbeevQ3s/cDeRvZ+5EH+nb2j7B1j7w/2jrN3gr0/2fuLvZPsnWLvNN/gm+z9zd4t9m6z9w97/7L3H3t32LvL3v/s3eO3/I699+x9YO8je5/Y6/6QvWHsDWfvK/ZGsDeSF/C37H3H3kL2FrG3mL0l7C1lbxl7A+x9z95y/pV3s7eHvb3s7WNvP3sH2DvI3iH2fmPvMHtH+AyfZe8ce+fZu8DeRfYusXeZvSvsXWXvGnvX+SE/Yu8xe0/Ye8reM/aes/eCvZfsvWLvNXtveMqDIU8d+qA3jb3p7M1gbyZ7s9ibzd4c9uayN4+9+byJf2JvM3tb2NvK3jb2trO3g72d7O1i72f2fnkw8BkBLKcMAQAAAACAAACQBwAAzQAAAA==eJx7ekHp9k87AYc47xPstrMFHD5tCMie9V3AoV3s5rnvwYIODBPrflttEHSY8o0tfgaPkINmTP+hrxlCDguvmby3OCrkYGazN2iaorDD6YWu2z7XCjs4y7x+ZHZL2OFGY7HbFDMRh4A/EsXXJ4k4PE0E6RBxqDquaTXJW9Thk+P5tKvLRR3al4efMmIRc5DmfaA7IUHMYUp7a9TlPWIOmm959xlIijuATO8rFXcwO2vtd/GiuMPTUfeOunfUvaPuHXXvqHuHoXsBLeY7ag==AQAAAACAAACQBwAAawAAAA==eJzbdavrb6q5gMOuIUKLZfl+7ps8dOj+J5/kL70fOjR7/AwfUR/BIUPX37StjFgxdOgfwY+XzmYRGjJ0wbmOS/cShg790kPvv+LeoUMnHr6snSopPGRocDIuHTp00A651tcXhw4NAEKAUp4=AQAAAACAAACQBwAAvQQAAA==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AQAAAACAAACQBwAAJAcAAA==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AQAAAACAAACQBwAAPAcAAA==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AQAAAACAAACQBwAAhgIAAA==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AQAAAACAAACQBwAA2gQAAA==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AQAAAACAAACQBwAAFwAAAA==eJxjYBgFo2AUjIJRMApGwUADAAeQAAE=AQAAAACAAACQBwAAFwAAAA==eJxjYBgFo2AUjIJRMApGwUADAAeQAAE=AQAAAACAAADwDAAArgIAAA==eJw90L2qDwAcgOH/YLAoN3AWxUC5ABZlkJwLYGNQXIBMSk6dfKXo6BQpRVJKRJFSDAaDgeEsFkVJimIwWHiH5/dOz/wur57d9+7g2X2L/30/sTK+eGh1vHP3hfHbrZfHJ39fGW/euDq+/3xtfODm+vjrmRvj1aO3xjv23x6/2X5nfHzzvfGm7/fHd989GO9/9HD8+drj8blTT8fbDj8bv97zYnxs6eV4sXg1Xv7/5MOulXnCPeGecE+4J9wT7gn3hHvCPeGecE+4J9wT7gn3hHvCPeGecE+4J9wT7snGltV5wj3hnnBPuCfcE+4J94R7wj3hnnBPuCfcE+4J94R7wj3hnnBPuCfcE+7Jx5/n5wn3hHvCPeGecE+4J9wT7gn3hHvCPeGecE+4J9wT7gn3hHvCPeGecE+4J5/eX5on3BPuCfeEe8I94Z5wT7gn3BPuCfeEe8I94Z5wT7gn3BPuCfeEe8I94Z58eXJlnnBPuCfcE+4J94R7wj3hnnBPuCfcE+4J94R7wj3hnnBPuCfcE+4J94R78u361XnCPeGecE+4J9wT7gn3hHvCPeGecE+4J9wT7gn3hHvCPeGecE+4J9wT7smP02vzhHvCPeGecE+4J9wT7gn3hHvCPeGecE+4J9wT7gn3hHvCPeGecE+4J9yTX0fW5wn3hHvCPeGecE+4J9wT7gn3hHvCPeGecE+4J9wT7gn3hHvCPeGecE+4J3/23pgn3BPuCfeEe8I94Z5wT7gn3BPuCfeEe8I94Z5wT7gn3BPuCfeEe8I94Z78Xbo1T7gn3BPuCfeEe8I94Z5wT7gn3BPuCfeEe8I94Z5wT7gn3BPuCfeEe8I9WSxuzxPuCfeEe8I94Z5wT7gn3BPuCfeEe8I94Z5wT7gn3BPuCfeEe8I94Z7wPx8fE6w=AQAAAACAAABAHgAA1wQAAA==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AQAAAACAAADyAAAADAAAAA==eJzj5BxpAAAK4QiD
34
+ </AppendedData>
35
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/output/grid.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/output/lambdakn.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/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 0.00203 0.062243 -0.062236 0.00097768 -7.5398e-05 -0.0047996 -0.00097874 -6.0032e-05 21.061 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.13875 4.6281 2.8937 -3.6119 0.77008 0.61695 0.057548 -0.047043 1640.3 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.00218 0.066463 -0.066389 0.0031308 4.0334e-05 0.00085529 -0.0010422 6.2611e-05 20.757 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.13174 4.3572 2.6162 -3.4844 0.78402 0.58866 0.053408 -0.045484 1515.9 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.00184 0.055543 -0.055372 0.0043579 0.00013805 0.0017541 -0.00086758 9.6003e-05 18.777 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.12905 4.2879 2.4656 -3.5082 0.80961 0.569 0.051445 -0.046166 1543 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.00208 0.06136 -0.060989 0.0067333 -0.00075854 -0.0068707 -0.00096989 -2.1593e-06 18.832 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.12075 4.0146 2.2041 -3.3554 0.83909 0.55118 0.0478 -0.044047 1465.5 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.00205 0.05871 -0.058124 0.0082723 0.0002406 0.0016905 -0.00090919 0.00015649 19.327 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.11359 3.7795 1.9748 -3.2226 0.79218 0.48545 0.043462 -0.042993 1365.8 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.00175 0.051961 -0.051187 0.0089336 5.5713e-05 0.00031922 -0.00080314 0.00014534 16.471 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.10695 3.545 1.7564 -3.0793 0.83011 0.47348 0.040627 -0.04093 1288 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.00165 0.050024 -0.048984 0.010144 0.00080474 0.0038859 -0.00075677 0.00022038 13.004 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.10052 3.359 1.5718 -2.9686 0.8179 0.43306 0.037536 -0.039827 1246.8 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.0018 0.050633 -0.049234 0.01182 0.0012061 0.0050237 -0.00075438 0.00026457 15.532 0 0
25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.09596 3.166 1.3928 -2.8431 0.77038 0.3774 0.033978 -0.03873 1148.9 0 0
26
+ 9 0.48429 -0.12434 0.48015 -0.1395 0.00182 0.054674 -0.052737 0.014427 0.0021551 0.0078778 -0.0007945 0.00035035 17.734 0 0
27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.08855 2.9373 1.2087 -2.6771 0.79477 0.35885 0.03147 -0.036413 1076.9 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.00188 0.054293 -0.051892 0.015964 0.0022353 0.0072659 -0.00077998 0.00036488 18.501 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.08235 2.7368 1.0473 -2.5285 0.80546 0.33363 0.029102 -0.034475 1047 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.00199 0.057313 -0.054223 0.018565 0.002776 0.0081082 -0.00080809 0.00041896 18.687 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.07716 2.5408 0.89811 -2.3768 0.76246 0.28811 0.026083 -0.032808 951.3 0 0
32
+ 12 0.47044 -0.16937 0.46489 -0.18406 0.00196 0.052114 -0.04875 0.018421 0.0041138 0.010887 -0.00070112 0.00046035 18.199 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.07448 2.4592 0.79658 -2.3266 0.79987 0.27386 0.025076 -0.032244 948.34 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.00184 0.054046 -0.049932 0.020682 0.0069984 0.016896 -0.00067437 0.00059025 20.58 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.06864 2.2558 0.66328 -2.156 0.733 0.2255 0.021932 -0.030323 871.71 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.00174 0.045676 -0.04163 0.018796 0.0054517 0.012074 -0.00056826 0.00048489 16.5 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.06512 2.1542 0.56844 -2.0779 0.74777 0.20457 0.020674 -0.029425 832.15 0 0
38
+ 15 0.45241 -0.21289 0.4455 -0.227 0.00166 0.047461 -0.042621 0.02088 0.0048068 0.0098118 -0.00059396 0.00048208 16.42 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.05989 1.9782 0.46179 -1.9235 0.72878 0.17497 0.018701 -0.027465 779.34 0 0
40
+ 16 0.4455 -0.227 0.43815 -0.24088 0.00181 0.050806 -0.0449 0.023774 0.0097599 0.018433 -0.00055196 0.00066296 19.455 0 0
41
+ 144 -0.10907 0.48796 -0.093691 0.49114 0.05414 1.7658 0.35807 -1.7291 0.6892 0.14273 0.01645 -0.024917 720.06 0 0
42
+ 17 0.43815 -0.24088 0.43037 -0.25452 0.00188 0.052409 -0.045524 0.025967 0.009152 0.016045 -0.00057131 0.00065989 22.067 0 0
43
+ 145 -0.093691 0.49114 -0.078217 0.49384 0.05063 1.6506 0.28378 -1.626 0.63336 0.11054 0.014406 -0.023804 651.95 0 0
44
+ 18 0.43037 -0.25452 0.42216 -0.26791 0.00175 0.045131 -0.038481 0.023581 0.0106 0.017297 -0.00043793 0.00064209 17.206 0 0
45
+ 146 -0.078217 0.49384 -0.062667 0.49606 0.04758 1.5655 0.22058 -1.5499 0.64938 0.092421 0.013665 -0.022893 645.18 0 0
46
+ 19 0.42216 -0.26791 0.41354 -0.28104 0.00203 0.056082 -0.046874 0.03079 0.017251 0.026262 -0.0004653 0.00089614 26.457 0 0
47
+ 147 -0.062667 0.49606 -0.047054 0.49778 0.04239 1.3801 0.15145 -1.3718 0.60719 0.067034 0.011916 -0.020494 560.91 0 0
48
+ 20 0.41354 -0.28104 0.40451 -0.29389 0.00178 0.046721 -0.038225 0.026865 0.015288 0.021753 -0.00036027 0.00076366 21.137 0 0
49
+ 148 -0.047054 0.49778 -0.031395 0.49901 0.04187 1.361 0.10678 -1.3568 0.59869 0.047118 0.011081 -0.020572 571.21 0 0
50
+ 21 0.40451 -0.29389 0.39508 -0.30645 0.00229 0.056025 -0.044803 0.033639 0.024233 0.032275 -0.0003231 0.0010353 28.095 0 0
51
+ 149 -0.031395 0.49901 -0.015705 0.49975 0.03851 1.2522 0.058986 -1.2508 0.5558 0.026211 0.0096567 -0.019235 514.79 0 0
52
+ 22 0.39508 -0.30645 0.38526 -0.31871 0.00248 0.067368 -0.052576 0.042121 0.025315 0.031598 -0.0004282 0.0011579 32.492 0 0
53
+ 150 -0.015705 0.49975 0 0.5 0.03611 1.1654 0.018306 -1.1653 0.5497 0.0086353 0.0089218 -0.018168 494.06 0 0
54
+ 23 0.38526 -0.31871 0.37506 -0.33066 0.00264 0.070953 -0.053953 0.046081 0.031329 0.036682 -0.00035537 0.0013 28.221 0 0
55
+ 151 0 0.5 0.015705 0.49975 0.03175 1.0133 -0.015916 -1.0132 0.49335 -0.0077502 0.0074992 -0.016036 432.14 0 0
56
+ 24 0.37506 -0.33066 0.36448 -0.34227 0.00288 0.074457 -0.055071 0.050111 0.043394 0.047689 -0.00018341 0.0015362 38.89 0 0
57
+ 152 0.015705 0.49975 0.031395 0.49901 0.03072 0.96899 -0.045645 -0.96791 0.47303 -0.022307 0.0067131 -0.015554 408.66 0 0
58
+ 25 0.36448 -0.34227 0.35355 -0.35355 0.00309 0.08457 -0.060732 0.058853 0.045105 0.046545 -0.00024546 0.0016555 38.328 0 0
59
+ 153 0.031395 0.49901 0.047054 0.49778 0.02668 0.85887 -0.067386 -0.85622 0.4521 -0.035581 0.0060429 -0.014008 396.14 0 0
60
+ 26 0.35355 -0.35355 0.34227 -0.36448 0.00293 0.081865 -0.056971 0.058789 0.042421 0.041109 -0.00022854 0.0015691 33.509 0 0
61
+ 154 0.047054 0.49778 0.062667 0.49606 0.02482 0.7945 -0.087183 -0.7897 0.42331 -0.046734 0.0052796 -0.013138 340.72 0 0
62
+ 27 0.34227 -0.36448 0.33066 -0.37506 0.00327 0.088673 -0.059678 0.065585 0.048123 0.043788 -0.0001815 0.001718 43.137 0 0
63
+ 155 0.062667 0.49606 0.078217 0.49384 0.02261 0.70133 -0.098818 -0.69433 0.39244 -0.055853 0.004612 -0.011783 303.81 0 0
64
+ 28 0.33066 -0.37506 0.31871 -0.38526 0.00383 0.10456 -0.067909 0.079512 0.068725 0.058697 1.2812e-05 0.0021709 57.641 0 0
65
+ 156 0.078217 0.49384 0.093691 0.49114 0.02078 0.64168 -0.11032 -0.63213 0.36476 -0.063661 0.0039965 -0.010929 282.86 0 0
66
+ 29 0.31871 -0.38526 0.30645 -0.39508 0.00431 0.12362 -0.077294 0.096479 0.076074 0.060947 -1.9158e-05 0.0024727 65.288 0 0
67
+ 157 0.093691 0.49114 0.10907 0.48796 0.01992 0.62699 -0.12714 -0.61396 0.35076 -0.072639 0.0035124 -0.010785 295.87 0 0
68
+ 30 0.30645 -0.39508 0.29389 -0.40451 0.00506 0.14415 -0.08655 0.11527 0.090224 0.067742 5.7713e-05 0.0028747 67.374 0 0
69
+ 158 0.10907 0.48796 0.12434 0.48429 0.01771 0.54224 -0.12658 -0.52726 0.33011 -0.079253 0.0031969 -0.0095267 250.56 0 0
70
+ 31 0.29389 -0.40451 0.28104 -0.41354 0.00533 0.15366 -0.088357 0.12572 0.095616 0.0672 0.00011402 0.0030302 70.67 0 0
71
+ 159 0.12434 0.48429 0.1395 0.48015 0.01618 0.50556 -0.1334 -0.48765 0.30482 -0.08339 0.0026925 -0.0089694 238.36 0 0
72
+ 32 0.28104 -0.41354 0.26791 -0.42216 0.0063 0.17807 -0.097765 0.14883 0.12162 0.079892 0.00037475 0.0035926 86.255 0 0
73
+ 160 0.1395 0.48015 0.15451 0.47553 0.01528 0.46531 -0.13682 -0.44474 0.27447 -0.084437 0.002162 -0.008312 211.36 0 0
74
+ 33 0.26791 -0.42216 0.25452 -0.43037 0.00681 0.20016 -0.10458 0.17066 0.12982 0.079555 0.00039646 0.0039302 95.004 0 0
75
+ 161 0.15451 0.47553 0.16937 0.47044 0.01326 0.4023 -0.13031 -0.38061 0.25537 -0.087433 0.0019643 -0.0073517 189.44 0 0
76
+ 34 0.25452 -0.43037 0.24088 -0.43815 0.007 0.20357 -0.10086 0.17683 0.13553 0.077303 0.00054452 0.0039917 105.44 0 0
77
+ 162 0.16937 0.47044 0.18406 0.46489 0.01161 0.35955 -0.12709 -0.33634 0.23761 -0.089787 0.001736 -0.0066933 182.06 0 0
78
+ 35 0.24088 -0.43815 0.227 -0.4455 0.00866 0.25782 -0.12064 0.22785 0.16269 0.086138 0.00066039 0.004932 130.7 0 0
79
+ 163 0.18406 0.46489 0.19857 0.45888 0.01052 0.31969 -0.12234 -0.29535 0.20454 -0.084723 0.0012912 -0.0059699 159.34 0 0
80
+ 36 0.227 -0.4455 0.21289 -0.45241 0.00906 0.27459 -0.1208 0.24659 0.18408 0.090182 0.00099397 0.0052898 138.05 0 0
81
+ 164 0.19857 0.45888 0.21289 0.45241 0.00959 0.28795 -0.1185 -0.26244 0.17615 -0.079536 0.0009056 -0.0053715 135.28 0 0
82
+ 37 0.21289 -0.45241 0.19857 -0.45888 0.01025 0.30585 -0.12586 0.27875 0.1915 0.086468 0.0010311 0.0057366 146.58 0 0
83
+ 165 0.21289 0.45241 0.227 0.4455 0.00868 0.25544 -0.11238 -0.22939 0.16375 -0.080219 0.00080689 -0.0048632 122.27 0 0
84
+ 38 0.19857 -0.45888 0.18406 -0.46489 0.01094 0.33146 -0.12684 0.30623 0.21522 0.089147 0.0013882 0.0062103 175.05 0 0
85
+ 166 0.227 0.4455 0.24088 0.43815 0.00832 0.24624 -0.11522 -0.21762 0.16762 -0.088749 0.00082299 -0.0048122 124.59 0 0
86
+ 39 0.18406 -0.46489 0.16937 -0.47044 0.01201 0.36481 -0.12895 0.34126 0.22639 0.085547 0.0015306 0.0067039 177.87 0 0
87
+ 167 0.24088 0.43815 0.25452 0.43037 0.00724 0.20806 -0.10309 -0.18073 0.13913 -0.07936 0.00056618 -0.0040853 109.82 0 0
88
+ 40 0.16937 -0.47044 0.15451 -0.47553 0.01307 0.398 -0.12892 0.37654 0.24772 0.084812 0.001866 0.0072467 187.6 0 0
89
+ 168 0.25452 0.43037 0.26791 0.42216 0.00622 0.17607 -0.091998 -0.15013 0.10694 -0.065536 0.00023477 -0.0033875 86.782 0 0
90
+ 41 0.15451 -0.47553 0.1395 -0.48015 0.01469 0.44268 -0.13016 0.42311 0.26685 0.082094 0.002147 0.0079354 203.66 0 0
91
+ 169 0.26791 0.42216 0.28104 0.41354 0.00593 0.16971 -0.093174 -0.14184 0.11211 -0.073644 0.00029745 -0.0033847 81.369 0 0
92
+ 42 0.1395 -0.48015 0.12434 -0.48429 0.01596 0.48963 -0.1292 0.47228 0.28715 0.078557 0.002481 0.0086521 221.93 0 0
93
+ 170 0.28104 0.41354 0.29389 0.40451 0.00564 0.15855 -0.091168 -0.12972 0.10609 -0.074561 0.00023438 -0.0032087 81.651 0 0
94
+ 43 0.12434 -0.48429 0.10907 -0.48796 0.01757 0.54519 -0.12727 0.53012 0.32407 0.077802 0.0030912 0.0095489 259.03 0 0
95
+ 171 0.29389 0.40451 0.30645 0.39508 0.00455 0.12856 -0.077187 -0.1028 0.074873 -0.056216 -3.6357e-05 -0.0024978 58.629 0 0
96
+ 44 0.10907 -0.48796 0.093691 -0.49114 0.01909 0.59176 -0.12 0.57947 0.3366 0.069706 0.0034021 0.010197 265.57 0 0
97
+ 172 0.30645 0.39508 0.31871 0.38526 0.00394 0.1108 -0.069278 -0.086473 0.065796 -0.052712 -5.47e-05 -0.0021862 53.921 0 0
98
+ 45 0.093691 -0.49114 0.078217 -0.49384 0.02035 0.63913 -0.10988 0.62961 0.3538 0.061748 0.0038312 0.010859 281.22 0 0
99
+ 173 0.31871 0.38526 0.33066 0.37506 0.00382 0.10629 -0.069032 -0.080827 0.058581 -0.050033 -0.00016416 -0.0020555 52.168 0 0
100
+ 46 0.078217 -0.49384 0.062667 -0.49606 0.02221 0.70326 -0.09909 0.69624 0.38517 0.054818 0.0044936 0.011797 302.02 0 0
101
+ 174 0.33066 0.37506 0.34227 0.36448 0.00369 0.09915 -0.066729 -0.073335 0.063073 -0.057392 -5.7426e-05 -0.0020534 55.157 0 0
102
+ 47 0.062667 -0.49606 0.047054 -0.49778 0.02467 0.78456 -0.086093 0.77982 0.42222 0.046613 0.0052796 0.012981 349.02 0 0
103
+ 175 0.34227 0.36448 0.35355 0.35355 0.00306 0.082875 -0.057673 -0.059514 0.042493 -0.041178 -0.00023845 -0.0015816 37.913 0 0
104
+ 48 0.047054 -0.49778 0.031395 -0.49901 0.02695 0.86352 -0.067751 0.86086 0.44344 0.0349 0.0059011 0.01407 371.73 0 0
105
+ 176 0.35355 0.35355 0.36448 0.34227 0.00276 0.075085 -0.053921 -0.052253 0.045242 -0.046687 -0.00013631 -0.0015541 38.512 0 0
106
+ 49 0.031395 -0.49901 0.015705 -0.49975 0.02927 0.9351 -0.044049 0.93406 0.47602 0.022449 0.0067851 0.015024 405.99 0 0
107
+ 177 0.36448 0.34227 0.37506 0.33066 0.00283 0.075357 -0.055736 -0.050716 0.038767 -0.042604 -0.00026655 -0.0014658 34.724 0 0
108
+ 50 0.015705 -0.49975 0 -0.5 0.03141 1.0146 -0.015937 1.0145 0.48206 0.0075727 0.0073215 0.016054 419.93 0 0
109
+ 178 0.37506 0.33066 0.38526 0.31871 0.00238 0.065565 -0.049856 -0.042581 0.031244 -0.036582 -0.00029235 -0.0012434 33.881 0 0
110
+ 51 0 -0.5 -0.015705 -0.49975 0.03531 1.1364 0.01785 1.1363 0.52342 -0.0082226 0.0085019 0.017719 472.4 0 0
111
+ 179 0.38526 0.31871 0.39508 0.30645 0.00244 0.068715 -0.053627 -0.042963 0.024159 -0.030155 -0.00046287 -0.0011485 30.818 0 0
112
+ 52 -0.015705 -0.49975 -0.031395 -0.49901 0.03738 1.1994 0.056498 1.198 0.52345 -0.024685 0.0091094 0.01843 483.38 0 0
113
+ 180 0.39508 0.30645 0.40451 0.29389 0.00206 0.053344 -0.042658 -0.032029 0.020512 -0.02732 -0.00034785 -0.0009322 23.912 0 0
114
+ 53 -0.031395 -0.49901 -0.047054 -0.49778 0.03993 1.3134 0.10305 1.3093 0.58106 -0.04573 0.010745 0.019848 543.26 0 0
115
+ 181 0.40451 0.29389 0.41354 0.28104 0.00207 0.055265 -0.045215 -0.031777 0.021353 -0.030382 -0.00037481 -0.00097636 24.936 0 0
116
+ 54 -0.047054 -0.49778 -0.062667 -0.49606 0.04515 1.4643 0.16068 1.4554 0.62599 -0.06911 0.012357 0.021775 597.58 0 0
117
+ 182 0.41354 0.28104 0.42216 0.26791 0.00179 0.047607 -0.03979 -0.026137 0.014979 -0.022803 -0.00038971 -0.00076873 20.354 0 0
118
+ 55 -0.062667 -0.49606 -0.078217 -0.49384 0.0474 1.5267 0.21512 1.5115 0.62958 -0.089602 0.013268 0.022334 603.76 0 0
119
+ 183 0.42216 0.26791 0.43037 0.25452 0.00175 0.048342 -0.041218 -0.025259 0.014137 -0.023069 -0.00042538 -0.0007591 18.37 0 0
120
+ 56 -0.078217 -0.49384 -0.093691 -0.49114 0.05155 1.7151 0.29488 1.6896 0.64055 -0.11179 0.014693 0.024783 670.5 0 0
121
+ 184 0.43037 0.25452 0.43815 0.24088 0.0018 0.049281 -0.042807 -0.024417 0.0097107 -0.017025 -0.00051985 -0.00065093 16.798 0 0
122
+ 57 -0.093691 -0.49114 -0.10907 -0.48796 0.05617 1.8397 0.37306 1.8014 0.68416 -0.14168 0.016606 0.02607 739.14 0 0
123
+ 185 0.43815 0.24088 0.4455 0.227 0.0017 0.049346 -0.043611 -0.023091 0.0063905 -0.01207 -0.00058463 -0.00055227 18.516 0 0
124
+ 58 -0.10907 -0.48796 -0.12434 -0.48429 0.05865 1.9157 0.4472 1.8627 0.68366 -0.16413 0.017763 0.026681 741.25 0 0
125
+ 186 0.4455 0.227 0.45241 0.21289 0.00163 0.045833 -0.041159 -0.020164 0.0055241 -0.011276 -0.00055973 -0.00049384 17.474 0 0
126
+ 59 -0.12434 -0.48429 -0.1395 -0.48015 0.06519 2.1651 0.57132 2.0884 0.73396 -0.20079 0.020502 0.029649 842.93 0 0
127
+ 187 0.45241 0.21289 0.45888 0.19857 0.00179 0.049616 -0.04522 -0.020418 0.0074144 -0.016421 -0.00059382 -0.00057863 17.255 0 0
128
+ 60 -0.1395 -0.48015 -0.15451 -0.47553 0.06646 2.1736 0.63911 2.0775 0.73214 -0.22524 0.021539 0.029094 830.19 0 0
129
+ 188 0.45888 0.19857 0.46489 0.18406 0.00171 0.047778 -0.044142 -0.018284 0.0033644 -0.0081224 -0.0006405 -0.00041477 14.65 0 0
130
+ 61 -0.15451 -0.47553 -0.16937 -0.47044 0.07353 2.4439 0.79161 2.3121 0.73464 -0.25152 0.023973 0.032366 939.41 0 0
131
+ 189 0.46489 0.18406 0.47044 0.16937 0.00173 0.054326 -0.050819 -0.019203 0.0020265 -0.0053631 -0.0007664 -0.00038586 16.24 0 0
132
+ 62 -0.16937 -0.47044 -0.18406 -0.46489 0.07825 2.5898 0.91543 2.4226 0.77701 -0.29361 0.026584 0.033441 972.41 0 0
133
+ 190 0.47044 0.16937 0.47553 0.15451 0.00167 0.044665 -0.042257 -0.014468 0.0032842 -0.0095923 -0.00061216 -0.00037792 14.828 0 0
134
+ 63 -0.18406 -0.46489 -0.19857 -0.45888 0.08277 2.7414 1.0491 2.5327 0.77948 -0.32287 0.028722 0.03471 1022.6 0 0
135
+ 191 0.47553 0.15451 0.48015 0.1395 0.00168 0.047835 -0.04572 -0.014065 0.0026955 -0.0087618 -0.00067581 -0.00035855 17.166 0 0
136
+ 64 -0.19857 -0.45888 -0.21289 -0.45241 0.0874 2.887 1.188 2.6312 0.81389 -0.36749 0.031445 0.035557 1082.5 0 0
137
+ 192 0.48015 0.1395 0.48429 0.12434 0.0017 0.049787 -0.048022 -0.013137 -0.00061303 0.0022409 -0.00076393 -0.00017116 15.393 0 0
138
+ 65 -0.21289 -0.45241 -0.227 -0.4455 0.0935 3.1257 1.3751 2.8069 0.78364 -0.3839 0.033908 0.038059 1159.5 0 0
139
+ 193 0.48429 0.12434 0.48796 0.10907 0.00186 0.054763 -0.05325 -0.012784 0.00085493 -0.003561 -0.00082299 -0.00025674 15.876 0 0
140
+ 66 -0.227 -0.4455 -0.24088 -0.43815 0.09926 3.3287 1.5576 2.9418 0.85255 -0.4514 0.037857 0.039118 1275.8 0 0
141
+ 194 0.48796 0.10907 0.49114 0.093691 0.00195 0.059669 -0.05843 -0.0121 0.00094801 -0.0045778 -0.00090288 -0.00026197 16.208 0 0
142
+ 67 -0.24088 -0.43815 -0.25452 -0.43037 0.10681 3.5414 1.7546 3.0762 0.77952 -0.44463 0.039804 0.041334 1276.1 0 0
143
+ 195 0.49114 0.093691 0.49384 0.078217 0.00167 0.048309 -0.04759 -0.0083057 0.00048812 -0.0027968 -0.00073984 -0.00017439 12.778 0 0
144
+ 68 -0.25452 -0.43037 -0.26791 -0.42216 0.1109 3.7004 1.9335 3.1551 0.81059 -0.49673 0.043102 0.041756 1352 0 0
145
+ 196 0.49384 0.078217 0.49606 0.062667 0.00179 0.053686 -0.05315 -0.0075644 0.00062271 -0.0043754 -0.00082506 -0.00018754 15.639 0 0
146
+ 69 -0.26791 -0.42216 -0.28104 -0.41354 0.11894 3.9471 2.167 3.299 0.82844 -0.54419 0.047051 0.04327 1428.1 0 0
147
+ 197 0.49606 0.062667 0.49778 0.047054 0.00203 0.060229 -0.059866 -0.0066092 0.00021961 -0.0019892 -0.00093688 -0.00013506 16.666 0 0
148
+ 70 -0.28104 -0.41354 -0.29389 -0.40451 0.12722 4.2224 2.4279 3.4545 0.82045 -0.57662 0.051023 0.045204 1510.1 0 0
149
+ 198 0.49778 0.047054 0.49901 0.031395 0.00189 0.054316 -0.054149 -0.0042616 7.3313e-05 -0.00093153 -0.00084938 -8.157e-05 17.802 0 0
150
+ 71 -0.29389 -0.40451 -0.30645 -0.39508 0.13186 4.34 2.6058 3.4707 0.79432 -0.59639 0.053407 0.045147 1516.5 0 0
151
+ 199 0.49901 0.031395 0.49975 0.015705 0.0022 0.068067 -0.067991 -0.0032064 0.00027369 -0.0058035 -0.0010637 -0.00014152 23.517 0 0
152
+ 72 -0.30645 -0.39508 -0.31871 -0.38526 0.13905 4.647 2.9055 3.6267 0.80709 -0.6466 0.058315 0.046809 1679.4 0 0
153
+ 200 0.49975 0.015705 0.5 0 0.00176 0.053826 -0.053819 -0.00084546 -1.1613e-05 0.00073928 -0.00084554 -1.6678e-06 17.358 0 0
154
+ 73 -0.31871 -0.38526 -0.33066 -0.37506 0.14584 4.8597 3.1561 3.6953 0.74842 -0.63921 0.061329 0.048003 1707.5 0 0
155
+ 74 -0.33066 -0.37506 -0.34227 -0.36448 0.15242 5.0246 3.3816 3.7164 0.72414 -0.65892 0.064491 0.048025 1721.6 0 0
156
+ 75 -0.34227 -0.36448 -0.35355 -0.35355 0.16186 5.3869 3.7488 3.8685 0.71319 -0.69113 0.070086 0.049907 1878.1 0 0
157
+ 76 -0.35355 -0.35355 -0.36448 -0.34227 0.1676 5.5424 3.9802 3.857 0.67646 -0.69805 0.073143 0.049619 1924.5 0 0
158
+ 77 -0.36448 -0.34227 -0.37506 -0.33066 0.1734 5.78 4.2751 3.89 0.67213 -0.73866 0.077708 0.0495 1997 0 0
159
+ 78 -0.37506 -0.33066 -0.38526 -0.31871 0.1831 6.0542 4.6036 3.9319 0.62977 -0.73737 0.082203 0.050177 2072.3 0 0
160
+ 79 -0.38526 -0.31871 -0.39508 -0.30645 0.18956 6.297 4.9144 3.9372 0.62436 -0.77933 0.086999 0.049601 2174.5 0 0
161
+ 80 -0.39508 -0.30645 -0.40451 -0.29389 0.19386 6.4873 5.1878 3.8951 0.54804 -0.72992 0.090094 0.049716 2201.7 0 0
162
+ 81 -0.40451 -0.29389 -0.41354 -0.28104 0.20256 6.7516 5.5238 3.8822 0.53864 -0.7664 0.095225 0.048941 2285.6 0 0
163
+ 82 -0.41354 -0.28104 -0.42216 -0.26791 0.21174 7.0279 5.874 3.8585 0.50505 -0.76887 0.1002 0.04853 2382.8 0 0
164
+ 83 -0.42216 -0.26791 -0.43037 -0.25452 0.21524 7.17 6.1134 3.7463 0.48468 -0.79093 0.10364 0.046421 2431 0 0
165
+ 84 -0.43037 -0.25452 -0.43815 -0.24088 0.22496 7.4271 6.4514 3.6798 0.43795 -0.76782 0.10821 0.04574 2470.4 0 0
166
+ 85 -0.43815 -0.24088 -0.4455 -0.227 0.23266 7.6757 6.7836 3.5917 0.38073 -0.71907 0.11253 0.045122 2532.1 0 0
167
+ 86 -0.4455 -0.227 -0.45241 -0.21289 0.23454 7.8631 7.0613 3.4593 0.35379 -0.72217 0.11647 0.042993 2633.7 0 0
168
+ 87 -0.45241 -0.21289 -0.45888 -0.19857 0.24344 8.0491 7.336 3.3123 0.31844 -0.70527 0.12023 0.04095 2670.5 0 0
169
+ 88 -0.45888 -0.19857 -0.46489 -0.18406 0.24922 8.2626 7.6337 3.162 0.26933 -0.65022 0.12414 0.039453 2716.7 0 0
170
+ 89 -0.46489 -0.18406 -0.47044 -0.16937 0.25421 8.4709 7.924 2.9942 0.24795 -0.65619 0.12836 0.036725 2825.8 0 0
171
+ 90 -0.47044 -0.16937 -0.47553 -0.15451 0.25674 8.5887 8.1256 2.782 0.19453 -0.56817 0.13069 0.034774 2860.4 0 0
172
+ 91 -0.47553 -0.15451 -0.48015 -0.1395 0.26813 8.8609 8.4692 2.6055 0.16752 -0.54452 0.13566 0.032372 2883.1 0 0
173
+ 92 -0.48015 -0.1395 -0.48429 -0.12434 0.2672 8.9626 8.6449 2.365 0.13644 -0.49874 0.13793 0.029314 3028 0 0
174
+ 93 -0.48429 -0.12434 -0.48796 -0.10907 0.26879 8.9507 8.7034 2.0895 0.11853 -0.49373 0.13857 0.025065 2950.4 0 0
175
+ 94 -0.48796 -0.10907 -0.49114 -0.093691 0.27765 9.1842 8.9934 1.8624 0.085818 -0.4144 0.14261 0.022745 3000.4 0 0
176
+ 95 -0.49114 -0.093691 -0.49384 -0.078217 0.27514 9.223 9.0857 1.5857 0.056094 -0.32141 0.14359 0.019859 3087.7 0 0
177
+ 96 -0.49384 -0.078217 -0.49606 -0.062667 0.28133 9.283 9.1904 1.308 0.039909 -0.28042 0.14498 0.01614 3014 0 0
178
+ 97 -0.49606 -0.062667 -0.49778 -0.047054 0.28089 9.327 9.2707 1.0235 0.02271 -0.2057 0.14597 0.012845 3049.9 0 0
179
+ 98 -0.49778 -0.047054 -0.49901 -0.031395 0.28174 9.3551 9.3262 0.73399 0.014864 -0.18886 0.14672 0.0085625 3051.9 0 0
180
+ 99 -0.49901 -0.031395 -0.49975 -0.015705 0.28558 9.4515 9.441 0.44523 0.0057927 -0.12283 0.14838 0.0050639 3071 0 0
181
+ 100 -0.49975 -0.015705 -0.5 0 0.28842 9.5479 9.5468 0.14997 0.00020935 -0.013326 0.14996 0.0021463 3094.7 0 0
182
+ 101 -0.5 0 -0.49975 0.015705 0.2882 9.5042 9.503 -0.14928 0.00049194 0.031315 0.14927 -0.001853 3061.9 0 0
183
+ 102 -0.49975 0.015705 -0.49901 0.031395 0.28542 9.4798 9.4692 -0.44656 0.004908 0.10407 0.14881 -0.0053795 3164.1 0 0
184
+ 103 -0.49901 0.031395 -0.49778 0.047054 0.28468 9.4221 9.393 -0.73925 0.01384 0.17585 0.14776 -0.0088494 3038.1 0 0
185
+ 104 -0.49778 0.047054 -0.49606 0.062667 0.28693 9.4681 9.4109 -1.039 0.023298 0.21103 0.14819 -0.013005 3043.8 0 0
186
+ 105 -0.49606 0.062667 -0.49384 0.078217 0.27938 9.3003 9.2076 -1.3104 0.04089 0.28731 0.14527 -0.01607 3056.9 0 0
187
+ 106 -0.49384 0.078217 -0.49114 0.093691 0.27405 9.122 8.9862 -1.5683 0.056633 0.32449 0.14204 -0.019537 3011.2 0 0
188
+ 107 -0.49114 0.093691 -0.48796 0.10907 0.2796 9.2517 9.0595 -1.8761 0.072262 0.34894 0.14344 -0.023988 3011.1 0 0
189
+ 108 -0.48796 0.10907 -0.48429 0.12434 0.27468 9.1001 8.8486 -2.1244 0.10868 0.4527 0.1407 -0.026257 2999 0 0
190
+ 109 -0.48429 0.12434 -0.48015 0.1395 0.26711 8.8722 8.5578 -2.3411 0.14579 0.53291 0.13671 -0.028402 2964.4 0 0
191
+ 110 -0.48015 0.1395 -0.47553 0.15451 0.26893 8.8755 8.4831 -2.6097 0.16085 0.52286 0.13577 -0.032779 2862.3 0 0
192
+ 111 -0.47553 0.15451 -0.47044 0.16937 0.25798 8.5823 8.1195 -2.7799 0.20023 0.58481 0.13068 -0.03448 2855.6 0 0
193
+ 112 -0.47044 0.16937 -0.46489 0.18406 0.25381 8.3774 7.8366 -2.9612 0.22522 0.59604 0.12663 -0.03715 2731.9 0 0
194
+ 113 -0.46489 0.18406 -0.45888 0.19857 0.25032 8.2524 7.6242 -3.1581 0.27905 0.67369 0.12414 -0.039023 2741.4 0 0
195
+ 114 -0.45888 0.19857 -0.45241 0.21289 0.24408 8.1015 7.3837 -3.3339 0.3006 0.66576 0.1207 -0.041909 2678.6 0 0
196
+ 115 -0.45241 0.21289 -0.4455 0.227 0.23643 7.895 7.0899 -3.4733 0.34213 0.69837 0.11674 -0.043587 2647.9 0 0
197
+ 116 -0.4455 0.227 -0.43815 0.24088 0.23263 7.7049 6.8093 -3.6054 0.39167 0.73974 0.11311 -0.045011 2560.8 0 0
198
+ 117 -0.43815 0.24088 -0.43037 0.25452 0.22599 7.5115 6.5247 -3.7216 0.40771 0.7148 0.10889 -0.047229 2493.5 0 0
199
+ 118 -0.43037 0.25452 -0.42216 0.26791 0.21826 7.2471 6.1792 -3.7866 0.47824 0.78041 0.10457 -0.047219 2479.8 0 0
200
+ 119 -0.42216 0.26791 -0.41354 0.28104 0.2098 6.9603 5.8175 -3.8214 0.52906 0.80541 0.099687 -0.047373 2360.1 0 0
201
+ 120 -0.41354 0.28104 -0.40451 0.29389 0.20406 6.8 5.5634 -3.91 0.5532 0.78712 0.096075 -0.049052 2296.6 0 0
202
+ 121 -0.40451 0.29389 -0.39508 0.30645 0.19874 6.6229 5.2962 -3.9765 0.58385 0.77761 0.09236 -0.050246 2260.9 0 0
203
+ 122 -0.39508 0.30645 -0.38526 0.31871 0.18848 6.2841 4.9043 -3.9291 0.59202 0.73896 0.086333 -0.050109 2137.9 0 0
204
+ 123 -0.38526 0.31871 -0.37506 0.33066 0.18094 6.0174 4.5756 -3.908 0.66559 0.77931 0.082326 -0.049143 2099 0 0
205
+ 124 -0.37506 0.33066 -0.36448 0.34227 0.17601 5.8319 4.3134 -3.9249 0.66487 0.73068 0.078196 -0.050173 2009.1 0 0
206
+ 125 -0.36448 0.34227 -0.35355 0.35355 0.16609 5.541 3.9792 -3.8561 0.69509 0.71728 0.07342 -0.049302 1965.1 0 0
207
+ 126 -0.35355 0.35355 -0.34227 0.36448 0.15962 5.3245 3.7054 -3.8237 0.70999 0.68803 0.069354 -0.049253 1855.4 0 0
208
+ 127 -0.34227 0.36448 -0.33066 0.37506 0.15323 5.1428 3.4612 -3.8038 0.75349 0.68562 0.066201 -0.048978 1840.9 0 0
209
+ 128 -0.33066 0.37506 -0.31871 0.38526 0.14871 4.9717 3.2289 -3.7805 0.76492 0.6533 0.062732 -0.04912 1763.9 0 0
CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/surf/Surf_300000.vtu ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="400" NumberOfCells="200" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="1" RangeMax="200" offset="0" />
9
+ <DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="432" />
10
+ <DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="1468" />
11
+ <DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="2476" />
12
+ <DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="3508" />
13
+ <DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00163" RangeMax="0.28842" offset="4512" />
14
+ <DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.044665" RangeMax="9.5479" offset="6476" />
15
+ <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.13682" RangeMax="9.5468" offset="8516" />
16
+ <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-3.9765" RangeMax="3.9372" offset="10564" />
17
+ <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.00075854" RangeMax="0.85255" offset="12652" />
18
+ <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.79093" RangeMax="0.80541" offset="14720" />
19
+ <DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.0010637" RangeMax="0.14996" offset="16840" />
20
+ <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.050246" RangeMax="0.050177" offset="18976" />
21
+ <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="12.778" RangeMax="3164.1" offset="21116" />
22
+ <DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0" RangeMax="0" offset="22444" />
23
+ <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="22496" />
24
+ </CellData>
25
+ <Points>
26
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="22548" />
27
+ </Points>
28
+ <Cells>
29
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="23876" />
30
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="24780" />
31
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="25272" />
32
+ </Cells>
33
+ </Piece>
34
+ </UnstructuredGrid>
35
+ <AppendedData encoding="base64">
36
+ _AQAAAACAAABABgAAMAEAAA==eJwtyzeOVVEQRdETEhIQEBC0EEIIIQSNt32Bxnvv4eJhFjWUN5QayhsCQ0Dor0qWjrYq+X9/d7K5sWEP93If9/MAt3iQh3iYR3iUx3icJ3iS2zzF0zzDszzH87zAi7zEy7zCq9zh2FjMNZu5bjM3bGbXZm7azC2buW0zd2zmrs3cs5n7NvPAZh7azCObeWwzTzYOFpt5qrPYzDOdxWae6yw280JnsZmXOovNvNJZbOa1zmIzb3QWm3mrs9jMO53FZt7rLDbzQWexmY86i8180lls5rPOYjNz4xYHJ4sLmyvzxT8HJ4sLmyvz1T8HJ4sLmyvzzT8HJ4sLmyvz3T8HJ4sLmyvzwz8HJ4sLmyvz0z8HJ4sLmyvzyz8HJ4sLmyvz2z8HJ4sLmyvzZ/wDaXOy2Q==AQAAAACAAABABgAA9QIAAA==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AQAAAACAAABABgAA4AIAAA==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AQAAAACAAABABgAA8wIAAA==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AQAAAACAAABABgAA3wIAAA==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AQAAAACAAABABgAA5gUAAA==eJwtVGk41GsUp+G6IltKk2XMX0+FdItURrdzSGXfdZH2haQbyVIpZEn2qHRVHm40w0wzMbbiKSlrMciSq4RGkjJRkyS6M/R+ed8v55zfdt57zrzzjr0ccO07qF5OKgQBRa6V6s+CYmbqeLovB2hBg9xNimx4WunWlZNZAKUVMu8e3MgH612GyZc+5EOL/ADJdIYJNpymWutnTGAEbtWlut8Bs04XJoddALRUYft7JhO6M/w2vdhPB34Vc7DZlgEG6f2hm0kFEG/yO82zowBMnVRUjqjTQbq3gV5XygKtPJWslhE6SNpFL3DgsOAU6VmYDBSCQUZS86RuETg6CfVvKnJhtZTJyn23S+C/fk7DUmExSNTLLtzGLYW15qHFAU/ugw2TGpCS9xDivvR0RQZWA1fGM5LKfAzmskbHfjbWwsm2qdqurAagrDYZvazQCG52SkGUiBaorgoU9Ke1wsW23j659OdwnjElkbu+A67/2TJf3qMLtpV+nm4P7Qa7b3nnel1fQva0pTJ5x2twOhxla3iiH0wyBgqKBANgmPLjUVUgH2bK0jTVI9+C7OxjGIyXjRZ+yRmB5gJex44PH+GUO8O4yfQTuDcaPilcPQ5JKz8ueLDmM0wqDpdxSELwiN3YWXNsAt51s757HfsGA8NXiuQDpkBzo7fFkePTULFCUa7k9gzEJ/PHKc6S6MC5fCjugCQSyUEB6kkk3H5C3EkKSbLxlAOj0hjuW3kyfYkMJvb4SByXlMWalLUhBjnz8cjxTzENrvIYNn7X8WjmAjR0W6OXn66IcTGezyvfKKFXSrVwpZcyWsvP079wVQU1wvYZuvkvRF0xXLIq6lififojcRHyDncM+eovRkrMiFO5lhqKwK+L2LAE3+Rdf6K9hoxTXsdqZsbJKCL79y1JdWwytW+9pKGB7O39p1XZGhgT1sL1KNHEyWxv7nuuFr4qiQ5rCaRgZsiNf3XI2igU2xmrjf57ZJrJY9oY7KC12NeAiuV4fqCunIo7zTe/6/5ARaubEcur31KR/WJPsMNuAslSOxQMThC44aLZ3sFUAiOvbEnwoxMYndVUwCsh8L6ViNgQgWNfrD1il+igs7jBPB3s/lPkkJDACMuHZzVfEMiPEhUICLT4/nGk6h8C3U2K64M3E+jfHNfWG0HgI0auPRoReHJZxs/UB1SssxFNrKLi6EiViY4eFV2kb6XRHmnP3ZHaeGFxd/OEkTaqigW4TMH1YkFatbDopoBeK6eFz3bZ1MtMa+CqQ+QB9y51NJo96sgu3R/efXYp5q3aojFCkOfqlJfgUf2vGa9c1NAiwW9oSncxgvHu+1a2i5B+qk6XlqaK1WrLXaTfLES/0NN5q6JUcC5fytilMm7GW66MIjXtPisooU7P5DnfTQq/fJdHlobnQdPX8+fwushiiouIYbgM9sRPH5rgS6O4LNlFCt+L48kioViOPrl5OJdvSZzL6U+oFcWhDH/AggBWQo/Pd5jFJz8JseKYqX4Fg1niQihrleidJ/sFfAgx0nGovJqqeHr9J3DukHKakBTAsvA1n16eGYHfZo0chsTo0hs2AW+hfJh3LjeOD3U+mqKV5oMFw1m0+v3wzm6rXqJBH3RqaF+7VfcKaGlPwy0fdoPa7KAu8P5YKtcU1P5r39rgXG0MierRAhN1Zzoao3mQcLGpriSnETLNh4yDL9ZC2ejbfIV7NWA2dkBk0RP45t8QQD9ZBbPrt6sSsh34Vm3GFZAglmffPcgSsbLZUALXU45uqdnIhSHH2IJr1lzQJR7r9dbfhfvZDw7ZZxRCqF5f1pADE3iqNE6hDQsOK1FejO1hgPKgnKdlFQPu9GR/3WmaD0qheyX6t+TDTOkKS78QOrSGlBVZeOfDiceC2zuDGWA4+5EyYYiWVOzaexuCXY3N2s8y4KVeXCT7bD44PFX0GpRlgUWcvrcgkQ26wesUhBUMSE6N3FQRxgSj3PgBt042/EixvWDPY4JJu6C6068Q4v/y6FFNYcL/ukLtMQ==AQAAAACAAABABgAA7gUAAA==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AQAAAACAAABABgAA0AMAAA==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AQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
37
+ </AppendedData>
38
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0795_Kn0p36Ma6p4/surf/geom.surf ADDED
@@ -0,0 +1,610 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Surface element file written by SPARTA
2
+
3
+ 400 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
+ 1 0.5 0
9
+ 2 0.499753280182866 -0.0157053795390643
10
+ 3 0.499753280182866 -0.0157053795390643
11
+ 4 0.499013364214136 -0.0313952597646568
12
+ 5 0.499013364214136 -0.0313952597646568
13
+ 6 0.49778098230154 -0.0470541566592573
14
+ 7 0.49778098230154 -0.0470541566592573
15
+ 8 0.496057350657239 -0.0626666167821523
16
+ 9 0.496057350657239 -0.0626666167821523
17
+ 10 0.493844170297569 -0.0782172325201156
18
+ 11 0.493844170297569 -0.0782172325201156
19
+ 12 0.491143625364344 -0.0936906572928624
20
+ 13 0.491143625364344 -0.0936906572928624
21
+ 14 0.487958380969374 -0.109071620698271
22
+ 15 0.487958380969374 -0.109071620698271
23
+ 16 0.484291580564315 -0.124344943582427
24
+ 17 0.484291580564315 -0.124344943582427
25
+ 18 0.480146842838471 -0.139495553019615
26
+ 19 0.480146842838471 -0.139495553019615
27
+ 20 0.475528258147577 -0.154508497187474
28
+ 21 0.475528258147577 -0.154508497187474
29
+ 22 0.470440384477113 -0.169368960122646
30
+ 23 0.470440384477113 -0.169368960122646
31
+ 24 0.464888242944126 -0.184062276342339
32
+ 25 0.464888242944126 -0.184062276342339
33
+ 26 0.458877312841991 -0.19857394531739
34
+ 27 0.458877312841991 -0.19857394531739
35
+ 28 0.45241352623301 -0.212889645782536
36
+ 29 0.45241352623301 -0.212889645782536
37
+ 30 0.445503262094184 -0.226995249869774
38
+ 31 0.445503262094184 -0.226995249869774
39
+ 32 0.438153340021932 -0.240876837050858
40
+ 33 0.438153340021932 -0.240876837050858
41
+ 34 0.430371013501972 -0.254520707875186
42
+ 35 0.430371013501972 -0.254520707875186
43
+ 36 0.422163962751007 -0.267913397489498
44
+ 37 0.422163962751007 -0.267913397489498
45
+ 38 0.413540287137281 -0.281041688926065
46
+ 39 0.413540287137281 -0.281041688926065
47
+ 40 0.404508497187474 -0.293892626146237
48
+ 41 0.404508497187474 -0.293892626146237
49
+ 42 0.395077506187845 -0.306453526826488
50
+ 43 0.395077506187845 -0.306453526826488
51
+ 44 0.385256621387895 -0.318711994874345
52
+ 45 0.385256621387895 -0.318711994874345
53
+ 46 0.37505553481523 -0.330655932661826
54
+ 47 0.37505553481523 -0.330655932661826
55
+ 48 0.364484313710706 -0.342273552964344
56
+ 49 0.364484313710706 -0.342273552964344
57
+ 50 0.353553390593274 -0.353553390593274
58
+ 51 0.353553390593274 -0.353553390593274
59
+ 52 0.342273552964344 -0.364484313710706
60
+ 53 0.342273552964344 -0.364484313710706
61
+ 54 0.330655932661826 -0.37505553481523
62
+ 55 0.330655932661826 -0.37505553481523
63
+ 56 0.318711994874345 -0.385256621387895
64
+ 57 0.318711994874345 -0.385256621387895
65
+ 58 0.306453526826488 -0.395077506187845
66
+ 59 0.306453526826488 -0.395077506187845
67
+ 60 0.293892626146236 -0.404508497187474
68
+ 61 0.293892626146236 -0.404508497187474
69
+ 62 0.281041688926065 -0.413540287137281
70
+ 63 0.281041688926065 -0.413540287137281
71
+ 64 0.267913397489498 -0.422163962751008
72
+ 65 0.267913397489498 -0.422163962751008
73
+ 66 0.254520707875185 -0.430371013501972
74
+ 67 0.254520707875185 -0.430371013501972
75
+ 68 0.240876837050857 -0.438153340021932
76
+ 69 0.240876837050857 -0.438153340021932
77
+ 70 0.226995249869773 -0.445503262094184
78
+ 71 0.226995249869773 -0.445503262094184
79
+ 72 0.212889645782536 -0.45241352623301
80
+ 73 0.212889645782536 -0.45241352623301
81
+ 74 0.19857394531739 -0.458877312841991
82
+ 75 0.19857394531739 -0.458877312841991
83
+ 76 0.184062276342339 -0.464888242944126
84
+ 77 0.184062276342339 -0.464888242944126
85
+ 78 0.169368960122645 -0.470440384477113
86
+ 79 0.169368960122645 -0.470440384477113
87
+ 80 0.154508497187474 -0.475528258147577
88
+ 81 0.154508497187474 -0.475528258147577
89
+ 82 0.139495553019614 -0.480146842838472
90
+ 83 0.139495553019614 -0.480146842838472
91
+ 84 0.124344943582427 -0.484291580564316
92
+ 85 0.124344943582427 -0.484291580564316
93
+ 86 0.109071620698271 -0.487958380969374
94
+ 87 0.109071620698271 -0.487958380969374
95
+ 88 0.0936906572928621 -0.491143625364344
96
+ 89 0.0936906572928621 -0.491143625364344
97
+ 90 0.0782172325201152 -0.493844170297569
98
+ 91 0.0782172325201152 -0.493844170297569
99
+ 92 0.062666616782152 -0.496057350657239
100
+ 93 0.062666616782152 -0.496057350657239
101
+ 94 0.047054156659257 -0.49778098230154
102
+ 95 0.047054156659257 -0.49778098230154
103
+ 96 0.0313952597646565 -0.499013364214136
104
+ 97 0.0313952597646565 -0.499013364214136
105
+ 98 0.015705379539064 -0.499753280182866
106
+ 99 0.015705379539064 -0.499753280182866
107
+ 100 0 -0.5
108
+ 101 0 -0.5
109
+ 102 -0.0157053795390643 -0.499753280182866
110
+ 103 -0.0157053795390643 -0.499753280182866
111
+ 104 -0.0313952597646568 -0.499013364214136
112
+ 105 -0.0313952597646568 -0.499013364214136
113
+ 106 -0.0470541566592573 -0.49778098230154
114
+ 107 -0.0470541566592573 -0.49778098230154
115
+ 108 -0.0626666167821523 -0.496057350657239
116
+ 109 -0.0626666167821523 -0.496057350657239
117
+ 110 -0.0782172325201156 -0.493844170297569
118
+ 111 -0.0782172325201156 -0.493844170297569
119
+ 112 -0.0936906572928625 -0.491143625364344
120
+ 113 -0.0936906572928625 -0.491143625364344
121
+ 114 -0.109071620698271 -0.487958380969374
122
+ 115 -0.109071620698271 -0.487958380969374
123
+ 116 -0.124344943582428 -0.484291580564315
124
+ 117 -0.124344943582428 -0.484291580564315
125
+ 118 -0.139495553019615 -0.480146842838471
126
+ 119 -0.139495553019615 -0.480146842838471
127
+ 120 -0.154508497187474 -0.475528258147577
128
+ 121 -0.154508497187474 -0.475528258147577
129
+ 122 -0.169368960122646 -0.470440384477113
130
+ 123 -0.169368960122646 -0.470440384477113
131
+ 124 -0.184062276342339 -0.464888242944126
132
+ 125 -0.184062276342339 -0.464888242944126
133
+ 126 -0.19857394531739 -0.458877312841991
134
+ 127 -0.19857394531739 -0.458877312841991
135
+ 128 -0.212889645782536 -0.45241352623301
136
+ 129 -0.212889645782536 -0.45241352623301
137
+ 130 -0.226995249869774 -0.445503262094184
138
+ 131 -0.226995249869774 -0.445503262094184
139
+ 132 -0.240876837050858 -0.438153340021932
140
+ 133 -0.240876837050858 -0.438153340021932
141
+ 134 -0.254520707875186 -0.430371013501972
142
+ 135 -0.254520707875186 -0.430371013501972
143
+ 136 -0.267913397489499 -0.422163962751007
144
+ 137 -0.267913397489499 -0.422163962751007
145
+ 138 -0.281041688926066 -0.413540287137281
146
+ 139 -0.281041688926066 -0.413540287137281
147
+ 140 -0.293892626146237 -0.404508497187474
148
+ 141 -0.293892626146237 -0.404508497187474
149
+ 142 -0.306453526826488 -0.395077506187845
150
+ 143 -0.306453526826488 -0.395077506187845
151
+ 144 -0.318711994874345 -0.385256621387895
152
+ 145 -0.318711994874345 -0.385256621387895
153
+ 146 -0.330655932661826 -0.37505553481523
154
+ 147 -0.330655932661826 -0.37505553481523
155
+ 148 -0.342273552964344 -0.364484313710706
156
+ 149 -0.342273552964344 -0.364484313710706
157
+ 150 -0.353553390593274 -0.353553390593274
158
+ 151 -0.353553390593274 -0.353553390593274
159
+ 152 -0.364484313710706 -0.342273552964344
160
+ 153 -0.364484313710706 -0.342273552964344
161
+ 154 -0.37505553481523 -0.330655932661826
162
+ 155 -0.37505553481523 -0.330655932661826
163
+ 156 -0.385256621387895 -0.318711994874345
164
+ 157 -0.385256621387895 -0.318711994874345
165
+ 158 -0.395077506187845 -0.306453526826488
166
+ 159 -0.395077506187845 -0.306453526826488
167
+ 160 -0.404508497187474 -0.293892626146237
168
+ 161 -0.404508497187474 -0.293892626146237
169
+ 162 -0.413540287137281 -0.281041688926065
170
+ 163 -0.413540287137281 -0.281041688926065
171
+ 164 -0.422163962751008 -0.267913397489498
172
+ 165 -0.422163962751008 -0.267913397489498
173
+ 166 -0.430371013501972 -0.254520707875185
174
+ 167 -0.430371013501972 -0.254520707875185
175
+ 168 -0.438153340021932 -0.240876837050857
176
+ 169 -0.438153340021932 -0.240876837050857
177
+ 170 -0.445503262094184 -0.226995249869773
178
+ 171 -0.445503262094184 -0.226995249869773
179
+ 172 -0.45241352623301 -0.212889645782536
180
+ 173 -0.45241352623301 -0.212889645782536
181
+ 174 -0.458877312841991 -0.19857394531739
182
+ 175 -0.458877312841991 -0.19857394531739
183
+ 176 -0.464888242944126 -0.184062276342339
184
+ 177 -0.464888242944126 -0.184062276342339
185
+ 178 -0.470440384477113 -0.169368960122645
186
+ 179 -0.470440384477113 -0.169368960122645
187
+ 180 -0.475528258147577 -0.154508497187473
188
+ 181 -0.475528258147577 -0.154508497187473
189
+ 182 -0.480146842838472 -0.139495553019614
190
+ 183 -0.480146842838472 -0.139495553019614
191
+ 184 -0.484291580564316 -0.124344943582427
192
+ 185 -0.484291580564316 -0.124344943582427
193
+ 186 -0.487958380969374 -0.109071620698271
194
+ 187 -0.487958380969374 -0.109071620698271
195
+ 188 -0.491143625364344 -0.0936906572928622
196
+ 189 -0.491143625364344 -0.0936906572928622
197
+ 190 -0.493844170297569 -0.0782172325201151
198
+ 191 -0.493844170297569 -0.0782172325201151
199
+ 192 -0.496057350657239 -0.0626666167821519
200
+ 193 -0.496057350657239 -0.0626666167821519
201
+ 194 -0.49778098230154 -0.0470541566592571
202
+ 195 -0.49778098230154 -0.0470541566592571
203
+ 196 -0.499013364214136 -0.0313952597646564
204
+ 197 -0.499013364214136 -0.0313952597646564
205
+ 198 -0.499753280182866 -0.015705379539064
206
+ 199 -0.499753280182866 -0.015705379539064
207
+ 200 -0.5 0
208
+ 201 -0.5 0
209
+ 202 -0.499753280182866 0.0157053795390643
210
+ 203 -0.499753280182866 0.0157053795390643
211
+ 204 -0.499013364214136 0.0313952597646568
212
+ 205 -0.499013364214136 0.0313952597646568
213
+ 206 -0.49778098230154 0.0470541566592574
214
+ 207 -0.49778098230154 0.0470541566592574
215
+ 208 -0.496057350657239 0.0626666167821523
216
+ 209 -0.496057350657239 0.0626666167821523
217
+ 210 -0.493844170297569 0.0782172325201157
218
+ 211 -0.493844170297569 0.0782172325201157
219
+ 212 -0.491143625364344 0.0936906572928625
220
+ 213 -0.491143625364344 0.0936906572928625
221
+ 214 -0.487958380969374 0.109071620698271
222
+ 215 -0.487958380969374 0.109071620698271
223
+ 216 -0.484291580564315 0.124344943582428
224
+ 217 -0.484291580564315 0.124344943582428
225
+ 218 -0.480146842838471 0.139495553019615
226
+ 219 -0.480146842838471 0.139495553019615
227
+ 220 -0.475528258147577 0.154508497187474
228
+ 221 -0.475528258147577 0.154508497187474
229
+ 222 -0.470440384477113 0.169368960122646
230
+ 223 -0.470440384477113 0.169368960122646
231
+ 224 -0.464888242944126 0.184062276342339
232
+ 225 -0.464888242944126 0.184062276342339
233
+ 226 -0.458877312841991 0.198573945317391
234
+ 227 -0.458877312841991 0.198573945317391
235
+ 228 -0.45241352623301 0.212889645782536
236
+ 229 -0.45241352623301 0.212889645782536
237
+ 230 -0.445503262094184 0.226995249869774
238
+ 231 -0.445503262094184 0.226995249869774
239
+ 232 -0.438153340021932 0.240876837050858
240
+ 233 -0.438153340021932 0.240876837050858
241
+ 234 -0.430371013501972 0.254520707875186
242
+ 235 -0.430371013501972 0.254520707875186
243
+ 236 -0.422163962751007 0.267913397489498
244
+ 237 -0.422163962751007 0.267913397489498
245
+ 238 -0.413540287137281 0.281041688926065
246
+ 239 -0.413540287137281 0.281041688926065
247
+ 240 -0.404508497187474 0.293892626146237
248
+ 241 -0.404508497187474 0.293892626146237
249
+ 242 -0.395077506187845 0.306453526826488
250
+ 243 -0.395077506187845 0.306453526826488
251
+ 244 -0.385256621387895 0.318711994874345
252
+ 245 -0.385256621387895 0.318711994874345
253
+ 246 -0.37505553481523 0.330655932661826
254
+ 247 -0.37505553481523 0.330655932661826
255
+ 248 -0.364484313710706 0.342273552964344
256
+ 249 -0.364484313710706 0.342273552964344
257
+ 250 -0.353553390593274 0.353553390593274
258
+ 251 -0.353553390593274 0.353553390593274
259
+ 252 -0.342273552964344 0.364484313710706
260
+ 253 -0.342273552964344 0.364484313710706
261
+ 254 -0.330655932661826 0.37505553481523
262
+ 255 -0.330655932661826 0.37505553481523
263
+ 256 -0.318711994874345 0.385256621387895
264
+ 257 -0.318711994874345 0.385256621387895
265
+ 258 -0.306453526826488 0.395077506187845
266
+ 259 -0.306453526826488 0.395077506187845
267
+ 260 -0.293892626146237 0.404508497187474
268
+ 261 -0.293892626146237 0.404508497187474
269
+ 262 -0.281041688926065 0.413540287137281
270
+ 263 -0.281041688926065 0.413540287137281
271
+ 264 -0.267913397489498 0.422163962751008
272
+ 265 -0.267913397489498 0.422163962751008
273
+ 266 -0.254520707875185 0.430371013501972
274
+ 267 -0.254520707875185 0.430371013501972
275
+ 268 -0.240876837050857 0.438153340021932
276
+ 269 -0.240876837050857 0.438153340021932
277
+ 270 -0.226995249869773 0.445503262094184
278
+ 271 -0.226995249869773 0.445503262094184
279
+ 272 -0.212889645782536 0.45241352623301
280
+ 273 -0.212889645782536 0.45241352623301
281
+ 274 -0.19857394531739 0.458877312841991
282
+ 275 -0.19857394531739 0.458877312841991
283
+ 276 -0.184062276342339 0.464888242944126
284
+ 277 -0.184062276342339 0.464888242944126
285
+ 278 -0.169368960122646 0.470440384477113
286
+ 279 -0.169368960122646 0.470440384477113
287
+ 280 -0.154508497187474 0.475528258147577
288
+ 281 -0.154508497187474 0.475528258147577
289
+ 282 -0.139495553019614 0.480146842838472
290
+ 283 -0.139495553019614 0.480146842838472
291
+ 284 -0.124344943582427 0.484291580564316
292
+ 285 -0.124344943582427 0.484291580564316
293
+ 286 -0.109071620698271 0.487958380969374
294
+ 287 -0.109071620698271 0.487958380969374
295
+ 288 -0.0936906572928622 0.491143625364344
296
+ 289 -0.0936906572928622 0.491143625364344
297
+ 290 -0.0782172325201154 0.493844170297569
298
+ 291 -0.0782172325201154 0.493844170297569
299
+ 292 -0.0626666167821517 0.496057350657239
300
+ 293 -0.0626666167821517 0.496057350657239
301
+ 294 -0.0470541566592569 0.49778098230154
302
+ 295 -0.0470541566592569 0.49778098230154
303
+ 296 -0.0313952597646565 0.499013364214136
304
+ 297 -0.0313952597646565 0.499013364214136
305
+ 298 -0.015705379539064 0.499753280182866
306
+ 299 -0.015705379539064 0.499753280182866
307
+ 300 0 0.5
308
+ 301 0 0.5
309
+ 302 0.0157053795390645 0.499753280182866
310
+ 303 0.0157053795390645 0.499753280182866
311
+ 304 0.031395259764657 0.499013364214136
312
+ 305 0.031395259764657 0.499013364214136
313
+ 306 0.0470541566592574 0.49778098230154
314
+ 307 0.0470541566592574 0.49778098230154
315
+ 308 0.0626666167821522 0.496057350657239
316
+ 309 0.0626666167821522 0.496057350657239
317
+ 310 0.0782172325201155 0.493844170297569
318
+ 311 0.0782172325201155 0.493844170297569
319
+ 312 0.0936906572928627 0.491143625364344
320
+ 313 0.0936906572928627 0.491143625364344
321
+ 314 0.109071620698272 0.487958380969374
322
+ 315 0.109071620698272 0.487958380969374
323
+ 316 0.124344943582428 0.484291580564315
324
+ 317 0.124344943582428 0.484291580564315
325
+ 318 0.139495553019615 0.480146842838471
326
+ 319 0.139495553019615 0.480146842838471
327
+ 320 0.154508497187474 0.475528258147577
328
+ 321 0.154508497187474 0.475528258147577
329
+ 322 0.169368960122646 0.470440384477113
330
+ 323 0.169368960122646 0.470440384477113
331
+ 324 0.184062276342339 0.464888242944126
332
+ 325 0.184062276342339 0.464888242944126
333
+ 326 0.198573945317391 0.458877312841991
334
+ 327 0.198573945317391 0.458877312841991
335
+ 328 0.212889645782536 0.45241352623301
336
+ 329 0.212889645782536 0.45241352623301
337
+ 330 0.226995249869774 0.445503262094184
338
+ 331 0.226995249869774 0.445503262094184
339
+ 332 0.240876837050858 0.438153340021932
340
+ 333 0.240876837050858 0.438153340021932
341
+ 334 0.254520707875186 0.430371013501972
342
+ 335 0.254520707875186 0.430371013501972
343
+ 336 0.267913397489498 0.422163962751007
344
+ 337 0.267913397489498 0.422163962751007
345
+ 338 0.281041688926065 0.413540287137281
346
+ 339 0.281041688926065 0.413540287137281
347
+ 340 0.293892626146237 0.404508497187473
348
+ 341 0.293892626146237 0.404508497187473
349
+ 342 0.306453526826489 0.395077506187845
350
+ 343 0.306453526826489 0.395077506187845
351
+ 344 0.318711994874345 0.385256621387895
352
+ 345 0.318711994874345 0.385256621387895
353
+ 346 0.330655932661826 0.37505553481523
354
+ 347 0.330655932661826 0.37505553481523
355
+ 348 0.342273552964344 0.364484313710706
356
+ 349 0.342273552964344 0.364484313710706
357
+ 350 0.353553390593274 0.353553390593273
358
+ 351 0.353553390593274 0.353553390593273
359
+ 352 0.364484313710706 0.342273552964344
360
+ 353 0.364484313710706 0.342273552964344
361
+ 354 0.37505553481523 0.330655932661826
362
+ 355 0.37505553481523 0.330655932661826
363
+ 356 0.385256621387895 0.318711994874345
364
+ 357 0.385256621387895 0.318711994874345
365
+ 358 0.395077506187845 0.306453526826488
366
+ 359 0.395077506187845 0.306453526826488
367
+ 360 0.404508497187474 0.293892626146236
368
+ 361 0.404508497187474 0.293892626146236
369
+ 362 0.413540287137281 0.281041688926065
370
+ 363 0.413540287137281 0.281041688926065
371
+ 364 0.422163962751008 0.267913397489498
372
+ 365 0.422163962751008 0.267913397489498
373
+ 366 0.430371013501972 0.254520707875185
374
+ 367 0.430371013501972 0.254520707875185
375
+ 368 0.438153340021932 0.240876837050858
376
+ 369 0.438153340021932 0.240876837050858
377
+ 370 0.445503262094184 0.226995249869773
378
+ 371 0.445503262094184 0.226995249869773
379
+ 372 0.45241352623301 0.212889645782536
380
+ 373 0.45241352623301 0.212889645782536
381
+ 374 0.458877312841991 0.19857394531739
382
+ 375 0.458877312841991 0.19857394531739
383
+ 376 0.464888242944126 0.184062276342339
384
+ 377 0.464888242944126 0.184062276342339
385
+ 378 0.470440384477113 0.169368960122646
386
+ 379 0.470440384477113 0.169368960122646
387
+ 380 0.475528258147577 0.154508497187473
388
+ 381 0.475528258147577 0.154508497187473
389
+ 382 0.480146842838472 0.139495553019614
390
+ 383 0.480146842838472 0.139495553019614
391
+ 384 0.484291580564316 0.124344943582427
392
+ 385 0.484291580564316 0.124344943582427
393
+ 386 0.487958380969374 0.109071620698271
394
+ 387 0.487958380969374 0.109071620698271
395
+ 388 0.491143625364344 0.0936906572928622
396
+ 389 0.491143625364344 0.0936906572928622
397
+ 390 0.493844170297569 0.078217232520115
398
+ 391 0.493844170297569 0.078217232520115
399
+ 392 0.496057350657239 0.0626666167821518
400
+ 393 0.496057350657239 0.0626666167821518
401
+ 394 0.49778098230154 0.0470541566592569
402
+ 395 0.49778098230154 0.0470541566592569
403
+ 396 0.499013364214136 0.0313952597646565
404
+ 397 0.499013364214136 0.0313952597646565
405
+ 398 0.499753280182866 0.0157053795390641
406
+ 399 0.499753280182866 0.0157053795390641
407
+ 400 0.5 0
408
+
409
+ Lines
410
+
411
+ 1 1 2
412
+ 2 3 4
413
+ 3 5 6
414
+ 4 7 8
415
+ 5 9 10
416
+ 6 11 12
417
+ 7 13 14
418
+ 8 15 16
419
+ 9 17 18
420
+ 10 19 20
421
+ 11 21 22
422
+ 12 23 24
423
+ 13 25 26
424
+ 14 27 28
425
+ 15 29 30
426
+ 16 31 32
427
+ 17 33 34
428
+ 18 35 36
429
+ 19 37 38
430
+ 20 39 40
431
+ 21 41 42
432
+ 22 43 44
433
+ 23 45 46
434
+ 24 47 48
435
+ 25 49 50
436
+ 26 51 52
437
+ 27 53 54
438
+ 28 55 56
439
+ 29 57 58
440
+ 30 59 60
441
+ 31 61 62
442
+ 32 63 64
443
+ 33 65 66
444
+ 34 67 68
445
+ 35 69 70
446
+ 36 71 72
447
+ 37 73 74
448
+ 38 75 76
449
+ 39 77 78
450
+ 40 79 80
451
+ 41 81 82
452
+ 42 83 84
453
+ 43 85 86
454
+ 44 87 88
455
+ 45 89 90
456
+ 46 91 92
457
+ 47 93 94
458
+ 48 95 96
459
+ 49 97 98
460
+ 50 99 100
461
+ 51 101 102
462
+ 52 103 104
463
+ 53 105 106
464
+ 54 107 108
465
+ 55 109 110
466
+ 56 111 112
467
+ 57 113 114
468
+ 58 115 116
469
+ 59 117 118
470
+ 60 119 120
471
+ 61 121 122
472
+ 62 123 124
473
+ 63 125 126
474
+ 64 127 128
475
+ 65 129 130
476
+ 66 131 132
477
+ 67 133 134
478
+ 68 135 136
479
+ 69 137 138
480
+ 70 139 140
481
+ 71 141 142
482
+ 72 143 144
483
+ 73 145 146
484
+ 74 147 148
485
+ 75 149 150
486
+ 76 151 152
487
+ 77 153 154
488
+ 78 155 156
489
+ 79 157 158
490
+ 80 159 160
491
+ 81 161 162
492
+ 82 163 164
493
+ 83 165 166
494
+ 84 167 168
495
+ 85 169 170
496
+ 86 171 172
497
+ 87 173 174
498
+ 88 175 176
499
+ 89 177 178
500
+ 90 179 180
501
+ 91 181 182
502
+ 92 183 184
503
+ 93 185 186
504
+ 94 187 188
505
+ 95 189 190
506
+ 96 191 192
507
+ 97 193 194
508
+ 98 195 196
509
+ 99 197 198
510
+ 100 199 200
511
+ 101 201 202
512
+ 102 203 204
513
+ 103 205 206
514
+ 104 207 208
515
+ 105 209 210
516
+ 106 211 212
517
+ 107 213 214
518
+ 108 215 216
519
+ 109 217 218
520
+ 110 219 220
521
+ 111 221 222
522
+ 112 223 224
523
+ 113 225 226
524
+ 114 227 228
525
+ 115 229 230
526
+ 116 231 232
527
+ 117 233 234
528
+ 118 235 236
529
+ 119 237 238
530
+ 120 239 240
531
+ 121 241 242
532
+ 122 243 244
533
+ 123 245 246
534
+ 124 247 248
535
+ 125 249 250
536
+ 126 251 252
537
+ 127 253 254
538
+ 128 255 256
539
+ 129 257 258
540
+ 130 259 260
541
+ 131 261 262
542
+ 132 263 264
543
+ 133 265 266
544
+ 134 267 268
545
+ 135 269 270
546
+ 136 271 272
547
+ 137 273 274
548
+ 138 275 276
549
+ 139 277 278
550
+ 140 279 280
551
+ 141 281 282
552
+ 142 283 284
553
+ 143 285 286
554
+ 144 287 288
555
+ 145 289 290
556
+ 146 291 292
557
+ 147 293 294
558
+ 148 295 296
559
+ 149 297 298
560
+ 150 299 300
561
+ 151 301 302
562
+ 152 303 304
563
+ 153 305 306
564
+ 154 307 308
565
+ 155 309 310
566
+ 156 311 312
567
+ 157 313 314
568
+ 158 315 316
569
+ 159 317 318
570
+ 160 319 320
571
+ 161 321 322
572
+ 162 323 324
573
+ 163 325 326
574
+ 164 327 328
575
+ 165 329 330
576
+ 166 331 332
577
+ 167 333 334
578
+ 168 335 336
579
+ 169 337 338
580
+ 170 339 340
581
+ 171 341 342
582
+ 172 343 344
583
+ 173 345 346
584
+ 174 347 348
585
+ 175 349 350
586
+ 176 351 352
587
+ 177 353 354
588
+ 178 355 356
589
+ 179 357 358
590
+ 180 359 360
591
+ 181 361 362
592
+ 182 363 364
593
+ 183 365 366
594
+ 184 367 368
595
+ 185 369 370
596
+ 186 371 372
597
+ 187 373 374
598
+ 188 375 376
599
+ 189 377 378
600
+ 190 379 380
601
+ 191 381 382
602
+ 192 383 384
603
+ 193 385 386
604
+ 194 387 388
605
+ 195 389 390
606
+ 196 391 392
607
+ 197 393 394
608
+ 198 395 396
609
+ 199 397 398
610
+ 200 399 400
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Grid.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="Grid/Grid_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Lambda.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="Lambda/Lambda_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Lambda/Lambda_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Lambda/Lambda_1_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="2323" NumberOfCells="2200" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="101" RangeMax="12200" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0615" RangeMax="5.9549" offset="4576" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.955" RangeMax="3.964" offset="5012" />
11
+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.017929" RangeMax="0.09043" offset="5896" />
12
+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.19885" RangeMax="1.003" offset="26056" />
13
+ </CellData>
14
+ <Points>
15
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.0166462503" RangeMax="7.8102496759" offset="42080" />
16
+ </Points>
17
+ <Cells>
18
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="49300" />
19
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="63748" />
20
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="67684" />
21
+ </Cells>
22
+ </Piece>
23
+ </UnstructuredGrid>
24
+ <AppendedData encoding="base64">
25
+ _AQAAAACAAADARAAAVA0AAA==eJw1z31412P7wPFTkiSZJEkySfIc4vZ4G7eHPIeQJJNkamWSTCZfSSaTVZPJZGUymQzJJEySIZmEyWSSTJJJMknu+3d8Xr/PP6/j/TmP6zquM+J/X8ZVGf9HpFjNGJCYwRSrGVebM8VqxkBzpljNuMacKVYzBpkzxYbh5tmJ6cxgJlMsZTUbGCOcZwYzmWIpq9nAGOk8M5jJFAtvcw8rWc1aNrCJMSYxjensxQz2ZSZzmGIhS1nJatay4f/vv8v97MtM5jDFQpayktWsZQObGOPsx3T2Ygb7MpM5TDFrvP/MZYr5LGQxS1nOSlaxmjWsZR0b2MgmNjPuTWzNNJ4wMTGDfdiX/ZnJLOYwlynms5DFLGU5K1nFatawlnVsYOtJ3s9OTGdP9uIJzGAf9mV/ZjKLOcxlivksZDFLWc5K1j3k/WxkE5sZk+3HNHZiOnuyF09gBvuwL/szk1nMYS5TXFno3axnA9eykRvYxM1s5jbGlMSWbM22TGMHdmIXprM7e3LR1MRqLmENl7GWK1nHejZwLRu5gU3czGZuY0yzH1uzLdNYVpRYzgpWcj6ruIjVXMIaLmMtV7KO9WzgWjZyA5u4mc0smJ5YyCIWs4SlLGM5K1jJ+aziIlZzCWu4jLVcyTrWs4GjixNzmccUJzCfBSxkEYtZwlKWsZwVrOR8VnERq7mENRw4IzGTQ5jFbOZwNHOZxxQnMJ8FLGQRi1nCUpaxnBWs5JkliX14AfuyH/tzIDM5hFnMZg5HM5d5THEC81nAQhaxmIfPTOzF3jyBpzCDZ7IPL2Bf9mN/DmQmhzCL2czhaOYyjym2KU1sy3ZMY3t2YEd2Ymd2YVemsxu7swd78lAeziPZi8ewN7czZiW2YEu2Ymu2YVu2YxrbswM7shM7swu7Mp3d2J092JObuJlb2Myt3MbtjNn2Y0u2Ymu2YVu2YxrbswM7shM7swvXsZHruYEb2cRN3MwtbOZWbuN2xlOJLdiSrdiabdiW7ZjGVaznajZwDddyHRu5nhu4kU3cxM3cwmZu5TZuZ5TZjy25nLVcwZX8nHVcxXquZgPXcC3XsZHruYEb2cRN3MwtbObipxOXcClr+AGXcTlruYIr+TnruIr1XM0GruFarmMj13MDF8xJrOJCLuKbrOZiLuFS1vADLuNy1nIFV/Jz1nEV67maDZz7TGIF57GSL3E+F7CKC7mIb7Kai7mES1nDD7iMy1nLFVzJmeWJpZzNMs5hOeeygvNYyZc4nwtYxYVcxDdZzcVcwqWs4dRnE4s4ncWcwRLOZClns4xzWM65rOA8VvIlzucCVnEhF3Hi3MR8TmIBJ7OQU1nE6SzmDJZwJks5m2Wcw3LOZQXnsZJjn0vM4zimOJ4TOJH5nMQCTmYhp7KI01nMGSzhTJZyNss4siIxh6M4mmOYy7HM4zimOJ4TOJH5nMQCTmYhp7KI01nMwc8nDuFQZnEYszmSORzF0RzDXI5lHscxxfGcwInM5yQW8Ip5if05gAM5iJkczCEcyiwOYzZHMoejOJpjmMuxzOM4pnjeC4kX8CL25aXsxyvYnwM4kIOYycEcwqHM4jBmcyRzOIqjuX9lYjoPYDceyO48iD14MHvyEB7Kw3g4j+CRPIq9eDSP4bHszcc4g4+zhE9wJp9kKWdxNp9iGZ/mHD7Dcj7LuXyOFXye87jni4kduBc7cm924j7szH3ZhfuxK/dnOg9gNx7I7jyIPXgwe/IhTubDLOQUTuU0FvERTuejLOZjnMHHWcInOJNPspSzOJs7v5TYmruwDXdlW+7GdtydadyD7bknO3AvduTe7MR92Jn7sgvv4Xjeywm8jxN5P/P5ACfxQRbwIU7mwyzkFE7lNBbxEU7nX9zGv7md/zBeTtyBLbgjW3IntuLObM1d2Ia7si13YzvuzjTexjG8nbm8g2N5J/N4F8fxbqZ4D8fzXk7gfZzI+5nPBziJv7CJv3ITf+Nm/s4t/IPN/JNb+Re38W9u5z+M+Yk7sAV3ZEvexGEczmyO4EjezBzewlG8laN5G8fwdubyDo7lnczjXRzH77iW33Mdf2Ajf+R6/sQN/Jkb+Qub+Cs38Tdu5u/cwj/YzGteSRzEa5nJ6ziY13MIb+BQ3sgs3sRhHM5sjuBI3swc3sJR/IJ1/JKr+BXr+TVX8xs28Fuu4Xdcy++5jj+wkT9yPX/iBl6yIPFSXsZ+vJxX8Er251UcwKs5kNdwEK9lJq/jYF7PIbyBQ/khl/EjLufHrOUnXMFPuZKf8XN+wTp+yVX8ivX8mqv5DRt41quJZ/Mc9uG5PI/n8wJeyIt4MfvyEl7Ky9iPl/MKXsn+vIoD+Bar+TYX8x0u4btcyvdYw/f5AT/kMn7E5fyYtfyEK/gpV/LEqsSTeDJP4an8N09jBk/nGfwPz+RZPJvnsA/P5Xk8nxfwQl7Elzmfr3ABX2UVX+NCvs5FfINv8i1W820u5jtcwne5lO+xhke8lngkj2IvHs1jeCx78zgez3/xBJ7Ik3gyT+Gp/DdPYwZP5xl8huV8lnP5HCv4POfxBVbyRb7Elzmfr3ABX2UVX+NCvs5FPGBhYjceyO48iD14MHvyEB7Kw3g4j+CRPIq9eDSP4bHszeN4PB9nCZ/gTD7JUs7ibD7FMj7NOXyG5XyWc/kcK/g85/EFVnKv1xM7cm924j7szH3ZhfuxK/dnOg9gNx7I7jyIPXgwe/IQHsqHWcgpnMppLOIjnM5HWczHOIOPs4RPcCafZClncTafYhl3WZTYhruyLXdjO+7ONO7B9tyTHbgXO3JvduI+7Mx92YX7sSvv5QTex4m8n/l8gJP4IAv4ECfzYRZyCqdyGov4CKfzURbzb27nP4w3EndgC+7IltyJrbgzW3MXtuGubMvd2I67M417sD1vZy7v4FjeyTzexXG8mynew/G8lxN4HyfyfubzAU7igyzgr9zE37iZv3ML/2Az/+RW/sVt/Jvb+Q/jzcQd2II7siV3YisOZzZHcCRvZg5v4SjeytG8jWN4O3N5B8fyTubxLo7j3Uzxe67jD2zkj1zPn7iBP3Mjf2ETf+Um/sbN/J1b+Aeb+Se38tq3EjN5HQfzeg7hDRzKG5nFmziMw5nNERzJm5nDWziKt3I0v+QqfsV6fs3V/IYN/JZr+B3X8nuu4w9s5I9cz5+4gT9zY2LqkOqkD01MMQ7TjMM14wjNOFIzjtKMXppxtGYcoxnHakZvPVTfqBlZmnGTZgzTjOGaka0ZIzRjpGbcrBk5mnGLfkqXacbTmjFHM57RjHLNeFYz5mrGc5pRoRnPa8Y83aC/1Yw1mvGdZqzVjO81Y51m/KAZjZrxo2as14yf9H5vJ901McXYXzPSNeMAzeimGQdqRnfNOEgzemjGwZrRUw/QV2vGQM24RjMGaca1mpGpGddpxmDNuF4zhmjGDfpRXawZj2nGDM14XDNKNOMJzZipGU9qRqlmzNKM2Xql/kwzPteMLzSjTjO+1IxVmvGVZtRrxteasVozvtF7LE66fWKKsadmdNCMvTSjo2bsrRmdNGMfzeisGftqRhd9kb5YM/pqxiWacalmXKYZ/TTjcs24QjOu1Iz+mnGVflAXaMZDmjFZMx7WjELNmKIZUzVjmmYUacYjmjFd1+j3NeMDzfhQM5ZpxkeasVwzPtaMWs34RDNWaManeqd3km6VmGLsrBmtNWMXzWijGbtqRlvN2E0z2mnG7pqRps/Q/9GMMzXjLM04WzPO0Yw+mnGuZpynGedrxgWacaG+W6c04x7NGK8Z92rGBM24TzMmasb9mpGvGQ9oxiS9SL+hGW9qxluaUa0Zb2vGYs14RzOWaMa7mrFUM97Tf+qtmvGXZmzTjL81Y7tm/KP5vwcmzdhBM1poxo6a0VIfr/+lGSdoxomacZJmnKwZp2jGqZrxb804TTMyNON0faserRm3acYYzbhdM3I14w7NGKsZd2pGnmbcpRnjdKV+UTNe0oyXNWO+ZryiGQs041XNqNKM1zRjoWa8rn/WGzXjF81o0oxfNWOTZvymGZs143fN2KIZf2hGsz703aQPS0wxDteMIzTjSM04SjN6acbRmnGMZhyrGb014zh9o87SjJs0Y5hmDNeMbM0YoRkjNeNmzcjRjFs0Y5Qu009rxhzNeEYzyjXjWc2YqxnPaUaFZjyvGfM04wX9rV6jGd9pxlrN+F4z1mnGD5rRqBk/asZ6zfhJMzborkuT3j8xxUjXjAM0o5tmHKgZ3TXjIM3ooRkHa0ZPzThEX60HasY1mjFIM67VjEzNuE4zBmvG9ZoxRDNu0Iyhulg/phkzNONxzSjRjCc0Y6ZmPKkZpZoxSzNma8ZT+jP9uWZ8oRl1mvGlZqzSjK80o14zvtaM1ZrxjWY06PbvJb1nYorRQTP20oyOmrG3ZnTSjH00o7Nm7KsZXTRjP32x7qsZl2jGpZpxmWb004zLNeMKzbhSM/prxlWaMUAX6Ic0Y7JmPKwZhZoxRTOmasY0zSjSjEc0Y7pmPKrf1x9oxoeasUwzPtKM5ZrxsWbUasYnmrFCMz7VjJXvZfwXHXsuMg==AQAAAACAAADARAAAMwEAAA==eJztzssrBAEAx3EHcbE1OzM7Q1y4zUFJmrQe/SQuW9o4KMnjIuW4uSjKQXPz2CaJ0572uicnHJSIPDZ5X6TmJKkVmzho/wuH7x/w/faJrlqevnsNTaROant2DJUK6bntsqHAebgoj8RVtbH0kyzEFX7VTG7VmfLG1w4/Z03lbjveO49M+d37w5vNls5yA7sfi5b6m15f/EdL98uZwdC3lf6tz9xlbUXTlcLWwrGXzKYSKvVdztzkEwryo6ft1Y4aY8+t61OOwmBl7HrPkfcWO2hrcFW5r8678s+7hopFVxFevHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHj/jfcPOfNiBA==AQAAAACAAADARAAAhQIAAA==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AQAAAACAAADARAAA3i4AAA==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AQAAAACAAADkbAAAExUAAA==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AQAAAACAAADARAAAdAsAAA==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AQAAAACAAACYCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSgYHAAAmNhNWQ==
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Lambda/Lambda_2_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="1212" NumberOfCells="1100" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="12201" RangeMax="13520" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.9549" RangeMax="3.9713" offset="1968" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.0541" RangeMax="4.955" offset="3060" />
11
+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.024769" RangeMax="0.034065" offset="3292" />
12
+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.27471" RangeMax="0.37781" offset="9240" />
13
+ </CellData>
14
+ <Points>
15
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.0092183641" RangeMax="7.0710678119" offset="15200" />
16
+ </Points>
17
+ <Cells>
18
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="19900" />
19
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="27896" />
20
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="29924" />
21
+ </Cells>
22
+ </Piece>
23
+ </UnstructuredGrid>
24
+ <AppendedData encoding="base64">
25
+ _AQAAAACAAABgIgAAsgUAAA==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AQAAAACAAABgIgAAmwAAAA==eJzt160KwgAAhdEiWP1BwaKYBatpsGiYZSs2NawsWQwmkzAWNFgEs+AjjIFpXXAmDRYtYhhosYiC1fsIXzrPcKJT8HZbOTNCxD/LXuc5WyCicn591JIUEZXZ3tIqWXlEFE6Oxri7QUTly7msV5kCIgqHOz859xFReWs3P/UtIioH8aHhVoqIKPw1ZISISjusTu97RFR+AbvHGoI=AQAAAACAAABgIgAAWxEAAA==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AgAAAACAAACACQAAohUAALUBAAA=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AQAAAACAAABgIgAA3wUAAA==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eJzj5BwFo2AUjALKAQAyByat
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Lambda/Lambda_300000.pvtu ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <PUnstructuredGrid GhostLevel="0">
6
+ <PCellData>
7
+ <PDataArray type="Float64" Name="id"/>
8
+ <PDataArray type="Float64" Name="xc"/>
9
+ <PDataArray type="Float64" Name="yc"/>
10
+ <PDataArray type="Float64" Name="c_6[1]"/>
11
+ <PDataArray type="Float64" Name="c_6[2]"/>
12
+ </PCellData>
13
+ <PPoints>
14
+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
15
+ </PPoints>
16
+ <Piece Source="Lambda_0_300000.vtu"/>
17
+ <Piece Source="Lambda_1_300000.vtu"/>
18
+ <Piece Source="Lambda_2_300000.vtu"/>
19
+ <Piece Source="Lambda_3_300000.vtu"/>
20
+ </PUnstructuredGrid>
21
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/Lambda/Lambda_3_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="276" NumberOfCells="242" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="12301" RangeMax="13542" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0615" RangeMax="5.9549" offset="508" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.0541" RangeMax="4.955" offset="808" />
11
+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.018079" RangeMax="0.033756" offset="976" />
12
+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.20051" RangeMax="0.37438" offset="3408" />
13
+ </CellData>
14
+ <Points>
15
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.6748189645" RangeMax="7.8102496759" offset="5720" />
16
+ </Points>
17
+ <Cells>
18
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="6660" />
19
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="8336" />
20
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="8868" />
21
+ </Cells>
22
+ </Piece>
23
+ </UnstructuredGrid>
24
+ <AppendedData encoding="base64">
25
+ _AQAAAACAAACQBwAAawEAAA==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eJx7ekHp9k87AYc47xPstrMFHD5tCMie9V3AoV3s5rnvwYIODBPrflttEHSY8o0tfgaPkINmTP+hrxlCDguvmby3OCrkYGazN2iaorDD6YWu2z7XCjs4y7x+ZHZL2OFGY7HbFDMRh4A/EsXXJ4k4PE0E6RBxqDquaTXJW9Thk+P5tKvLRR3al4efMmIRc5DmfaA7IUHMYUp7a9TlPWIOmm959xlIijuATO8rFXcwO2vtd/GiuMPTUfeOunfUvaPuHXXvqHuHoXsBLeY7ag==AQAAAACAAACQBwAAawAAAA==eJzbdavrb6q5gMOuIUKLZfl+7ps8dOj+J5/kL70fOjR7/AwfUR/BIUPX37StjFgxdOgfwY+XzmYRGjJ0wbmOS/cShg790kPvv+LeoUMnHr6snSopPGRocDIuHTp00A651tcXhw4NAEKAUp4=AQAAAACAAACQBwAADAcAAA==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AQAAAACAAACQBwAAswYAAA==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AQAAAACAAADwDAAArgIAAA==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AQAAAACAAABAHgAA1wQAAA==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AQAAAACAAADyAAAADAAAAA==eJzj5BxpAAAK4QiD
26
+ </AppendedData>
27
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/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/Kn0p36/simulation0796_Kn0p36Ma6p5/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 0.36
13
+ variable Ma equal 6.5
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/Kn0p36/simulation0796_Kn0p36Ma6p5/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
+ 46 0.782172325201152E-001 -0.493844170297569E+000
54
+ 47 0.626666167821520E-001 -0.496057350657239E+000
55
+ 48 0.470541566592570E-001 -0.497780982301540E+000
56
+ 49 0.313952597646565E-001 -0.499013364214136E+000
57
+ 50 0.157053795390640E-001 -0.499753280182866E+000
58
+ 51 0.0 -0.5
59
+ 52 -0.157053795390643E-001 -0.499753280182866E+000
60
+ 53 -0.313952597646568E-001 -0.499013364214136E+000
61
+ 54 -0.470541566592573E-001 -0.497780982301540E+000
62
+ 55 -0.626666167821523E-001 -0.496057350657239E+000
63
+ 56 -0.782172325201156E-001 -0.493844170297569E+000
64
+ 57 -0.936906572928625E-001 -0.491143625364344E+000
65
+ 58 -0.109071620698271E+000 -0.487958380969374E+000
66
+ 59 -0.124344943582428E+000 -0.484291580564315E+000
67
+ 60 -0.139495553019615E+000 -0.480146842838471E+000
68
+ 61 -0.154508497187474E+000 -0.475528258147577E+000
69
+ 62 -0.169368960122646E+000 -0.470440384477113E+000
70
+ 63 -0.184062276342339E+000 -0.464888242944126E+000
71
+ 64 -0.198573945317390E+000 -0.458877312841991E+000
72
+ 65 -0.212889645782536E+000 -0.452413526233010E+000
73
+ 66 -0.226995249869774E+000 -0.445503262094184E+000
74
+ 67 -0.240876837050858E+000 -0.438153340021932E+000
75
+ 68 -0.254520707875186E+000 -0.430371013501972E+000
76
+ 69 -0.267913397489499E+000 -0.422163962751007E+000
77
+ 70 -0.281041688926066E+000 -0.413540287137281E+000
78
+ 71 -0.293892626146237E+000 -0.404508497187474E+000
79
+ 72 -0.306453526826488E+000 -0.395077506187845E+000
80
+ 73 -0.318711994874345E+000 -0.385256621387895E+000
81
+ 74 -0.330655932661826E+000 -0.375055534815230E+000
82
+ 75 -0.342273552964344E+000 -0.364484313710706E+000
83
+ 76 -0.353553390593274E+000 -0.353553390593274E+000
84
+ 77 -0.364484313710706E+000 -0.342273552964344E+000
85
+ 78 -0.375055534815230E+000 -0.330655932661826E+000
86
+ 79 -0.385256621387895E+000 -0.318711994874345E+000
87
+ 80 -0.395077506187845E+000 -0.306453526826488E+000
88
+ 81 -0.404508497187474E+000 -0.293892626146237E+000
89
+ 82 -0.413540287137281E+000 -0.281041688926065E+000
90
+ 83 -0.422163962751008E+000 -0.267913397489498E+000
91
+ 84 -0.430371013501972E+000 -0.254520707875185E+000
92
+ 85 -0.438153340021932E+000 -0.240876837050857E+000
93
+ 86 -0.445503262094184E+000 -0.226995249869773E+000
94
+ 87 -0.452413526233010E+000 -0.212889645782536E+000
95
+ 88 -0.458877312841991E+000 -0.198573945317390E+000
96
+ 89 -0.464888242944126E+000 -0.184062276342339E+000
97
+ 90 -0.470440384477113E+000 -0.169368960122645E+000
98
+ 91 -0.475528258147577E+000 -0.154508497187473E+000
99
+ 92 -0.480146842838472E+000 -0.139495553019614E+000
100
+ 93 -0.484291580564316E+000 -0.124344943582427E+000
101
+ 94 -0.487958380969374E+000 -0.109071620698271E+000
102
+ 95 -0.491143625364344E+000 -0.936906572928622E-001
103
+ 96 -0.493844170297569E+000 -0.782172325201151E-001
104
+ 97 -0.496057350657239E+000 -0.626666167821519E-001
105
+ 98 -0.497780982301540E+000 -0.470541566592571E-001
106
+ 99 -0.499013364214136E+000 -0.313952597646564E-001
107
+ 100 -0.499753280182866E+000 -0.157053795390640E-001
108
+ 101 -0.5 0.0
109
+ 102 -0.499753280182866E+000 0.157053795390643E-001
110
+ 103 -0.499013364214136E+000 0.313952597646568E-001
111
+ 104 -0.497780982301540E+000 0.470541566592574E-001
112
+ 105 -0.496057350657239E+000 0.626666167821523E-001
113
+ 106 -0.493844170297569E+000 0.782172325201157E-001
114
+ 107 -0.491143625364344E+000 0.936906572928625E-001
115
+ 108 -0.487958380969374E+000 0.109071620698271E+000
116
+ 109 -0.484291580564315E+000 0.124344943582428E+000
117
+ 110 -0.480146842838471E+000 0.139495553019615E+000
118
+ 111 -0.475528258147577E+000 0.154508497187474E+000
119
+ 112 -0.470440384477113E+000 0.169368960122646E+000
120
+ 113 -0.464888242944126E+000 0.184062276342339E+000
121
+ 114 -0.458877312841991E+000 0.198573945317391E+000
122
+ 115 -0.452413526233010E+000 0.212889645782536E+000
123
+ 116 -0.445503262094184E+000 0.226995249869774E+000
124
+ 117 -0.438153340021932E+000 0.240876837050858E+000
125
+ 118 -0.430371013501972E+000 0.254520707875186E+000
126
+ 119 -0.422163962751007E+000 0.267913397489498E+000
127
+ 120 -0.413540287137281E+000 0.281041688926065E+000
128
+ 121 -0.404508497187474E+000 0.293892626146237E+000
129
+ 122 -0.395077506187845E+000 0.306453526826488E+000
130
+ 123 -0.385256621387895E+000 0.318711994874345E+000
131
+ 124 -0.375055534815230E+000 0.330655932661826E+000
132
+ 125 -0.364484313710706E+000 0.342273552964344E+000
133
+ 126 -0.353553390593274E+000 0.353553390593274E+000
134
+ 127 -0.342273552964344E+000 0.364484313710706E+000
135
+ 128 -0.330655932661826E+000 0.375055534815230E+000
136
+ 129 -0.318711994874345E+000 0.385256621387895E+000
137
+ 130 -0.306453526826488E+000 0.395077506187845E+000
138
+ 131 -0.293892626146237E+000 0.404508497187474E+000
139
+ 132 -0.281041688926065E+000 0.413540287137281E+000
140
+ 133 -0.267913397489498E+000 0.422163962751008E+000
141
+ 134 -0.254520707875185E+000 0.430371013501972E+000
142
+ 135 -0.240876837050857E+000 0.438153340021932E+000
143
+ 136 -0.226995249869773E+000 0.445503262094184E+000
144
+ 137 -0.212889645782536E+000 0.452413526233010E+000
145
+ 138 -0.198573945317390E+000 0.458877312841991E+000
146
+ 139 -0.184062276342339E+000 0.464888242944126E+000
147
+ 140 -0.169368960122646E+000 0.470440384477113E+000
148
+ 141 -0.154508497187474E+000 0.475528258147577E+000
149
+ 142 -0.139495553019614E+000 0.480146842838472E+000
150
+ 143 -0.124344943582427E+000 0.484291580564316E+000
151
+ 144 -0.109071620698271E+000 0.487958380969374E+000
152
+ 145 -0.936906572928622E-001 0.491143625364344E+000
153
+ 146 -0.782172325201154E-001 0.493844170297569E+000
154
+ 147 -0.626666167821517E-001 0.496057350657239E+000
155
+ 148 -0.470541566592569E-001 0.497780982301540E+000
156
+ 149 -0.313952597646565E-001 0.499013364214136E+000
157
+ 150 -0.157053795390640E-001 0.499753280182866E+000
158
+ 151 0.0 0.5
159
+ 152 0.157053795390645E-001 0.499753280182866E+000
160
+ 153 0.313952597646570E-001 0.499013364214136E+000
161
+ 154 0.470541566592574E-001 0.497780982301540E+000
162
+ 155 0.626666167821522E-001 0.496057350657239E+000
163
+ 156 0.782172325201155E-001 0.493844170297569E+000
164
+ 157 0.936906572928627E-001 0.491143625364344E+000
165
+ 158 0.109071620698272E+000 0.487958380969374E+000
166
+ 159 0.124344943582428E+000 0.484291580564315E+000
167
+ 160 0.139495553019615E+000 0.480146842838471E+000
168
+ 161 0.154508497187474E+000 0.475528258147577E+000
169
+ 162 0.169368960122646E+000 0.470440384477113E+000
170
+ 163 0.184062276342339E+000 0.464888242944126E+000
171
+ 164 0.198573945317391E+000 0.458877312841991E+000
172
+ 165 0.212889645782536E+000 0.452413526233010E+000
173
+ 166 0.226995249869774E+000 0.445503262094184E+000
174
+ 167 0.240876837050858E+000 0.438153340021932E+000
175
+ 168 0.254520707875186E+000 0.430371013501972E+000
176
+ 169 0.267913397489498E+000 0.422163962751007E+000
177
+ 170 0.281041688926065E+000 0.413540287137281E+000
178
+ 171 0.293892626146237E+000 0.404508497187473E+000
179
+ 172 0.306453526826489E+000 0.395077506187845E+000
180
+ 173 0.318711994874345E+000 0.385256621387895E+000
181
+ 174 0.330655932661826E+000 0.375055534815230E+000
182
+ 175 0.342273552964344E+000 0.364484313710706E+000
183
+ 176 0.353553390593274E+000 0.353553390593273E+000
184
+ 177 0.364484313710706E+000 0.342273552964344E+000
185
+ 178 0.375055534815230E+000 0.330655932661826E+000
186
+ 179 0.385256621387895E+000 0.318711994874345E+000
187
+ 180 0.395077506187845E+000 0.306453526826488E+000
188
+ 181 0.404508497187474E+000 0.293892626146236E+000
189
+ 182 0.413540287137281E+000 0.281041688926065E+000
190
+ 183 0.422163962751008E+000 0.267913397489498E+000
191
+ 184 0.430371013501972E+000 0.254520707875185E+000
192
+ 185 0.438153340021932E+000 0.240876837050858E+000
193
+ 186 0.445503262094184E+000 0.226995249869773E+000
194
+ 187 0.452413526233010E+000 0.212889645782536E+000
195
+ 188 0.458877312841991E+000 0.198573945317390E+000
196
+ 189 0.464888242944126E+000 0.184062276342339E+000
197
+ 190 0.470440384477113E+000 0.169368960122646E+000
198
+ 191 0.475528258147577E+000 0.154508497187473E+000
199
+ 192 0.480146842838472E+000 0.139495553019614E+000
200
+ 193 0.484291580564316E+000 0.124344943582427E+000
201
+ 194 0.487958380969374E+000 0.109071620698271E+000
202
+ 195 0.491143625364344E+000 0.936906572928622E-001
203
+ 196 0.493844170297569E+000 0.782172325201150E-001
204
+ 197 0.496057350657239E+000 0.626666167821518E-001
205
+ 198 0.497780982301540E+000 0.470541566592569E-001
206
+ 199 0.499013364214136E+000 0.313952597646565E-001
207
+ 200 0.499753280182866E+000 0.157053795390641E-001
208
+
209
+ Lines
210
+
211
+ 1 1 2
212
+ 2 2 3
213
+ 3 3 4
214
+ 4 4 5
215
+ 5 5 6
216
+ 6 6 7
217
+ 7 7 8
218
+ 8 8 9
219
+ 9 9 10
220
+ 10 10 11
221
+ 11 11 12
222
+ 12 12 13
223
+ 13 13 14
224
+ 14 14 15
225
+ 15 15 16
226
+ 16 16 17
227
+ 17 17 18
228
+ 18 18 19
229
+ 19 19 20
230
+ 20 20 21
231
+ 21 21 22
232
+ 22 22 23
233
+ 23 23 24
234
+ 24 24 25
235
+ 25 25 26
236
+ 26 26 27
237
+ 27 27 28
238
+ 28 28 29
239
+ 29 29 30
240
+ 30 30 31
241
+ 31 31 32
242
+ 32 32 33
243
+ 33 33 34
244
+ 34 34 35
245
+ 35 35 36
246
+ 36 36 37
247
+ 37 37 38
248
+ 38 38 39
249
+ 39 39 40
250
+ 40 40 41
251
+ 41 41 42
252
+ 42 42 43
253
+ 43 43 44
254
+ 44 44 45
255
+ 45 45 46
256
+ 46 46 47
257
+ 47 47 48
258
+ 48 48 49
259
+ 49 49 50
260
+ 50 50 51
261
+ 51 51 52
262
+ 52 52 53
263
+ 53 53 54
264
+ 54 54 55
265
+ 55 55 56
266
+ 56 56 57
267
+ 57 57 58
268
+ 58 58 59
269
+ 59 59 60
270
+ 60 60 61
271
+ 61 61 62
272
+ 62 62 63
273
+ 63 63 64
274
+ 64 64 65
275
+ 65 65 66
276
+ 66 66 67
277
+ 67 67 68
278
+ 68 68 69
279
+ 69 69 70
280
+ 70 70 71
281
+ 71 71 72
282
+ 72 72 73
283
+ 73 73 74
284
+ 74 74 75
285
+ 75 75 76
286
+ 76 76 77
287
+ 77 77 78
288
+ 78 78 79
289
+ 79 79 80
290
+ 80 80 81
291
+ 81 81 82
292
+ 82 82 83
293
+ 83 83 84
294
+ 84 84 85
295
+ 85 85 86
296
+ 86 86 87
297
+ 87 87 88
298
+ 88 88 89
299
+ 89 89 90
300
+ 90 90 91
301
+ 91 91 92
302
+ 92 92 93
303
+ 93 93 94
304
+ 94 94 95
305
+ 95 95 96
306
+ 96 96 97
307
+ 97 97 98
308
+ 98 98 99
309
+ 99 99 100
310
+ 100 100 101
311
+ 101 101 102
312
+ 102 102 103
313
+ 103 103 104
314
+ 104 104 105
315
+ 105 105 106
316
+ 106 106 107
317
+ 107 107 108
318
+ 108 108 109
319
+ 109 109 110
320
+ 110 110 111
321
+ 111 111 112
322
+ 112 112 113
323
+ 113 113 114
324
+ 114 114 115
325
+ 115 115 116
326
+ 116 116 117
327
+ 117 117 118
328
+ 118 118 119
329
+ 119 119 120
330
+ 120 120 121
331
+ 121 121 122
332
+ 122 122 123
333
+ 123 123 124
334
+ 124 124 125
335
+ 125 125 126
336
+ 126 126 127
337
+ 127 127 128
338
+ 128 128 129
339
+ 129 129 130
340
+ 130 130 131
341
+ 131 131 132
342
+ 132 132 133
343
+ 133 133 134
344
+ 134 134 135
345
+ 135 135 136
346
+ 136 136 137
347
+ 137 137 138
348
+ 138 138 139
349
+ 139 139 140
350
+ 140 140 141
351
+ 141 141 142
352
+ 142 142 143
353
+ 143 143 144
354
+ 144 144 145
355
+ 145 145 146
356
+ 146 146 147
357
+ 147 147 148
358
+ 148 148 149
359
+ 149 149 150
360
+ 150 150 151
361
+ 151 151 152
362
+ 152 152 153
363
+ 153 153 154
364
+ 154 154 155
365
+ 155 155 156
366
+ 156 156 157
367
+ 157 157 158
368
+ 158 158 159
369
+ 159 159 160
370
+ 160 160 161
371
+ 161 161 162
372
+ 162 162 163
373
+ 163 163 164
374
+ 164 164 165
375
+ 165 165 166
376
+ 166 166 167
377
+ 167 167 168
378
+ 168 168 169
379
+ 169 169 170
380
+ 170 170 171
381
+ 171 171 172
382
+ 172 172 173
383
+ 173 173 174
384
+ 174 174 175
385
+ 175 175 176
386
+ 176 176 177
387
+ 177 177 178
388
+ 178 178 179
389
+ 179 179 180
390
+ 180 180 181
391
+ 181 181 182
392
+ 182 182 183
393
+ 183 183 184
394
+ 184 184 185
395
+ 185 185 186
396
+ 186 186 187
397
+ 187 187 188
398
+ 188 188 189
399
+ 189 189 190
400
+ 190 190 191
401
+ 191 191 192
402
+ 192 192 193
403
+ 193 193 194
404
+ 194 194 195
405
+ 195 195 196
406
+ 196 196 197
407
+ 197 197 198
408
+ 198 198 199
409
+ 199 199 200
410
+ 200 200 1
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/gas.species ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Species data
2
+
3
+ # species name
4
+ # molecular weight (atomic mass units, e.g. 16 for oxygen)
5
+ # molecular mass (kg)
6
+ # rotational degrees of freedom (integer, unitless)
7
+ # inverse rotational relaxtion number (unitless)
8
+ # vibrational degrees of freedom (integer, unitless)
9
+ # inverse vibrational relaxation number (unitless)
10
+ # vibrational temperature (K)
11
+ # species weight (unitless)
12
+ # multiple of electon charge (1 for a proton)
13
+
14
+ Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/gas.vhs ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ # VHS collision model parameters for each species
2
+
3
+ # species name
4
+ # diameter (m)
5
+ # omega (unitless)
6
+ # tref (referenced temperature)
7
+ # alpha (unitless)
8
+
9
+ Ar 4.17e-10 0.81 273 1.0
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/grid/Grid_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/grid/Grid_1_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/grid/Grid_2_300000.vtu ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="1212" NumberOfCells="1100" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="12201" RangeMax="13520" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.9549" RangeMax="3.9713" offset="1968" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.0541" RangeMax="4.955" offset="3060" />
11
+ <DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="29.79" RangeMax="55.664" offset="3292" />
12
+ <DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="3.9558e+19" RangeMax="7.3918e+19" offset="7364" />
13
+ <DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="2.6227e-06" RangeMax="4.9007e-06" offset="13488" />
14
+ <DataArray type="Float64" Name="f_1[4]" format="appended" RangeMin="1825.8" RangeMax="2003.3" offset="18952" />
15
+ <DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-2.4386" RangeMax="359.45" offset="20908" />
16
+ <DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-2.029" RangeMax="3.2349" offset="30372" />
17
+ <DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.14795" RangeMax="0.8527" offset="39712" />
18
+ <DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="270.5" RangeMax="835.54" offset="44768" />
19
+ <DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0" RangeMax="0" offset="48152" />
20
+ <DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0" RangeMax="0" offset="48220" />
21
+ </CellData>
22
+ <Points>
23
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.0092183641" RangeMax="7.0710678119" offset="48288" />
24
+ </Points>
25
+ <Cells>
26
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="52988" />
27
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="60984" />
28
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="63012" />
29
+ </Cells>
30
+ </Piece>
31
+ </UnstructuredGrid>
32
+ <AppendedData encoding="base64">
33
+ _AQAAAACAAABgIgAAsgUAAA==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AQAAAACAAABgIgAAmwAAAA==eJzt160KwgAAhdEiWP1BwaKYBatpsGiYZSs2NawsWQwmkzAWNFgEs+AjjIFpXXAmDRYtYhhosYiC1fsIXzrPcKJT8HZbOTNCxD/LXuc5WyCicn591JIUEZXZ3tIqWXlEFE6Oxri7QUTly7msV5kCIgqHOz859xFReWs3P/UtIioH8aHhVoqIKPw1ZISISjusTu97RFR+AbvHGoI=AQAAAACAAABgIgAA3AsAAA==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AQAAAACAAABgIgAAvQ4AAA==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AQAAAACAAABgIgAA1gkAAA==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AQAAAACAAABgIgAAHwAAAA==eJztwYEAAAAAw6D5U5/gBlUBAAAAAAAAAMA3ImAAAQ==AQAAAACAAABgIgAAHwAAAA==eJztwYEAAAAAw6D5U5/gBlUBAAAAAAAAAMA3ImAAAQ==AQAAAACAAADQOAAAsg0AAA==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AgAAAACAAACACQAAohUAALUBAAA=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AQAAAACAAABgIgAA3wUAAA==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eJzj5BwFo2AUjALKAQAyByat
34
+ </AppendedData>
35
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/grid/Grid_300000.pvtu ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="PUnstructuredGrid" version="0.1"
3
+ byte_order="LittleEndian"
4
+ compressor="vtkZLibDataCompressor">
5
+ <PUnstructuredGrid GhostLevel="0">
6
+ <PCellData>
7
+ <PDataArray type="Float64" Name="id"/>
8
+ <PDataArray type="Float64" Name="xc"/>
9
+ <PDataArray type="Float64" Name="yc"/>
10
+ <PDataArray type="Float64" Name="f_1[1]"/>
11
+ <PDataArray type="Float64" Name="f_1[2]"/>
12
+ <PDataArray type="Float64" Name="f_1[3]"/>
13
+ <PDataArray type="Float64" Name="f_1[4]"/>
14
+ <PDataArray type="Float64" Name="f_1[5]"/>
15
+ <PDataArray type="Float64" Name="f_1[6]"/>
16
+ <PDataArray type="Float64" Name="f_1[7]"/>
17
+ <PDataArray type="Float64" Name="f_1[8]"/>
18
+ <PDataArray type="Float64" Name="f_1[9]"/>
19
+ <PDataArray type="Float64" Name="f_1[10]"/>
20
+ </PCellData>
21
+ <PPoints>
22
+ <PDataArray type="Float32" Name="Points" NumberOfComponents="3"/>
23
+ </PPoints>
24
+ <Piece Source="Grid_0_300000.vtu"/>
25
+ <Piece Source="Grid_1_300000.vtu"/>
26
+ <Piece Source="Grid_2_300000.vtu"/>
27
+ <Piece Source="Grid_3_300000.vtu"/>
28
+ </PUnstructuredGrid>
29
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/grid/Grid_3_300000.vtu ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="276" NumberOfCells="242" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="12301" RangeMax="13542" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0615" RangeMax="5.9549" offset="508" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="4.0541" RangeMax="4.955" offset="808" />
11
+ <DataArray type="Float64" Name="f_1[1]" format="appended" RangeMin="29.914" RangeMax="77.409" offset="976" />
12
+ <DataArray type="Float64" Name="f_1[2]" format="appended" RangeMin="3.9723e+19" RangeMax="1.0279e+20" offset="2624" />
13
+ <DataArray type="Float64" Name="f_1[3]" format="appended" RangeMin="2.6337e-06" RangeMax="6.8151e-06" offset="5092" />
14
+ <DataArray type="Float64" Name="f_1[4]" format="appended" RangeMin="1773.5" RangeMax="2003.2" offset="7564" />
15
+ <DataArray type="Float64" Name="f_1[5]" format="appended" RangeMin="-0.77228" RangeMax="471.6" offset="8468" />
16
+ <DataArray type="Float64" Name="f_1[6]" format="appended" RangeMin="-2.93" RangeMax="2.617" offset="10180" />
17
+ <DataArray type="Float64" Name="f_1[7]" format="appended" RangeMin="0.15003" RangeMax="1.2718" offset="12588" />
18
+ <DataArray type="Float64" Name="f_1[8]" format="appended" RangeMin="273.53" RangeMax="898.43" offset="14924" />
19
+ <DataArray type="Float64" Name="f_1[9]" format="appended" RangeMin="0" RangeMax="0" offset="16152" />
20
+ <DataArray type="Float64" Name="f_1[10]" format="appended" RangeMin="0" RangeMax="0" offset="16208" />
21
+ </CellData>
22
+ <Points>
23
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.6748189645" RangeMax="7.8102496759" offset="16264" />
24
+ </Points>
25
+ <Cells>
26
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="17204" />
27
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="18880" />
28
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="19412" />
29
+ </Cells>
30
+ </Piece>
31
+ </UnstructuredGrid>
32
+ <AppendedData encoding="base64">
33
+ _AQAAAACAAACQBwAAawEAAA==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eJx7ekHp9k87AYc47xPstrMFHD5tCMie9V3AoV3s5rnvwYIODBPrflttEHSY8o0tfgaPkINmTP+hrxlCDguvmby3OCrkYGazN2iaorDD6YWu2z7XCjs4y7x+ZHZL2OFGY7HbFDMRh4A/EsXXJ4k4PE0E6RBxqDquaTXJW9Thk+P5tKvLRR3al4efMmIRc5DmfaA7IUHMYUp7a9TlPWIOmm959xlIijuATO8rFXcwO2vtd/GiuMPTUfeOunfUvaPuHXXvqHuHoXsBLeY7ag==AQAAAACAAACQBwAAawAAAA==eJzbdavrb6q5gMOuIUKLZfl+7ps8dOj+J5/kL70fOjR7/AwfUR/BIUPX37StjFgxdOgfwY+XzmYRGjJ0wbmOS/cShg790kPvv+LeoUMnHr6snSopPGRocDIuHTp00A651tcXhw4NAEKAUp4=AQAAAACAAACQBwAAwQQAAA==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AQAAAACAAACQBwAAKQcAAA==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AQAAAACAAACQBwAA8gQAAA==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AQAAAACAAACQBwAAxQYAAA==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AQAAAACAAACQBwAAhwMAAA==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eJxjYBgFo2AUjIJRMApGwUADAAeQAAE=AQAAAACAAACQBwAAFwAAAA==eJxjYBgFo2AUjIJRMApGwUADAAeQAAE=AQAAAACAAADwDAAArgIAAA==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AQAAAACAAABAHgAA1wQAAA==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AQAAAACAAADyAAAADAAAAA==eJzj5BxpAAAK4QiD
34
+ </AppendedData>
35
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/grid/final-grid.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/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 0.36
17
+ variable Ma equal 6.5
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 0.36*${L}
23
+ variable mfp equal 0.36*1
24
+ variable cpmfp equal 4
25
+ variable nden equal 1.0/sqrt(2.0)/${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}*${Kn})
29
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.36/${cpmfp}*${Kn})
30
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.36/4*${Kn})
31
+ variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.36/4*0.36)
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 6.5*${sos}
38
+ variable vo equal 6.5*307.815564238681
39
+ variable vx equal ${vo}*cos(${theta}*2*PI/360)
40
+ variable vx equal 2000.80116755143*cos(${theta}*2*PI/360)
41
+ variable vx equal 2000.80116755143*cos(0*2*PI/360)
42
+ variable vy equal ${vo}*sin(${theta}*2*PI/360)
43
+ variable vy equal 2000.80116755143*sin(${theta}*2*PI/360)
44
+ variable vy equal 2000.80116755143*sin(0*2*PI/360)
45
+ variable ppc equal 30
46
+ variable xncells equal (${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)/0.36*${cpmfp}
50
+ variable xncells equal (6--5)/0.36*4
51
+ variable yncells equal (${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)/0.36*${cpmfp}
55
+ variable yncells equal (5--5)/0.36*4
56
+ variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
57
+ variable Fnum equal 3.99501127472736e+19*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
58
+ variable Fnum equal 3.99501127472736e+19*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
59
+ variable Fnum equal 3.99501127472736e+19*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
60
+ variable Fnum equal 3.99501127472736e+19*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
61
+ variable Fnum equal 3.99501127472736e+19*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
62
+ variable Fnum equal 3.99501127472736e+19*(6--5)*(5--5)/30/${xncells}/${yncells}
63
+ variable Fnum equal 3.99501127472736e+19*(6--5)*(5--5)/30/122.222222222222/${yncells}
64
+ variable Fnum equal 3.99501127472736e+19*(6--5)*(5--5)/30/122.222222222222/111.111111111111
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}/${xncells}/10/4
68
+ variable tstep equal (--5+6)/2000.80116755143/${xncells}/10/4
69
+ variable tstep equal (--5+6)/2000.80116755143/122.222222222222/10/4
70
+ variable nave equal 10000
71
+ variable noutput equal 300000
72
+ clear
73
+ Running on 128 MPI task(s)
74
+ shell mkdir output
75
+ shell mkdir grid
76
+ shell mkdir surf
77
+ seed 7
78
+ dimension 2
79
+ global nrho ${nden}
80
+ global nrho 3.99501127472736e+19
81
+ global fnum ${Fnum}
82
+ global fnum 1.07865304417639e+16
83
+ timestep ${tstep}
84
+ timestep 1.12454952370582e-06
85
+ global gridcut 1.0 particle/reorder 100 comm/sort yes
86
+ region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
87
+ region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
88
+ region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
89
+ boundary o o p
90
+ create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
91
+ create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
92
+ create_box -5 6 ${ymin} ${ymax} -0.5 0.5
93
+ create_box -5 6 -5 ${ymax} -0.5 0.5
94
+ create_box -5 6 -5 5 -0.5 0.5
95
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
96
+ create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
97
+ create_grid 122.222222222222 ${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 122.222222222222 111.111111111111 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 59673 child grid cells
100
+ CPU time = 0.0929341 secs
101
+ create/ghost percent = 1.23583 98.7642
102
+ balance_grid rcb cell
103
+ Balance grid migrated 59557 cells
104
+ CPU time = 0.0862281 secs
105
+ reassign/sort/migrate/ghost percent = 64.0651 0.0492531 9.38613 26.4995
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 2000.80116755143 ${vy} 0.0 temp ${To}
110
+ mixture air Ar vstream 2000.80116755143 0 0.0 temp ${To}
111
+ mixture air Ar vstream 2000.80116755143 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
+ 356 0 = cells overlapping surfs, overlap cells with unmarked corner pts
121
+ 53305 6012 356 = cells outside/inside/overlapping surfs
122
+ 356 = surf cells with 1,2,etc splits
123
+ 109.215 109.215 = cell-wise and global flow volume
124
+ CPU time = 0.095939 secs
125
+ read/check/sort/surf2grid/ghost/inout/particle percent = 25.3619 24.9811 2.88585 24.603 22.1682 6.48327 0.214427
126
+ surf2grid time = 0.0236039 secs
127
+ map/comm1/comm2/comm3/comm4/split percent = 12.8216 24.8589 4.31524 2.22932 12.0386 7.91871
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 1317 cells
133
+ CPU time = 0.0320715 secs
134
+ reassign/sort/migrate/ghost percent = 8.46042 0.127933 29.5253 61.8863
135
+ create_particles air n 0
136
+ WARNING: Created unexpected # of particles: 404497 versus 404499 (../create_particles.cpp:346)
137
+ Created 404497 particles
138
+ CPU time = 0.0132416 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) = 1.59521 0 1.6875
144
+ grid (ave,min,max) = 3.07385 1.51379 5.26379
145
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
146
+ total (ave,min,max) = 4.68967 3.22189 6.97189
147
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
148
+ 0 0 404497 0 0 0 0 0
149
+ 10000 10.068793 451380 5124 4564 13 427604.38 16.9296
150
+ 20000 22.309254 452770 5086 4490 23 440384.78 17.2126
151
+ 30000 35.16154 453062 5142 4571 10 444632.9 17.262833
152
+ 40000 47.042729 453474 5122 4567 10 446823.69 17.3101
153
+ 50000 59.240694 453322 5232 4601 17 448167.9 17.33624
154
+ 60000 71.049398 453080 5173 4577 21 449021.69 17.35235
155
+ 70000 83.285802 453770 5122 4559 19 449594.17 17.362643
156
+ 80000 95.757999 453519 5156 4563 19 450096 17.369438
157
+ 90000 107.73681 453863 5136 4567 11 450483.02 17.377933
158
+ 100000 120.49098 453550 5129 4508 14 450820.71 17.39473
159
+ 110000 132.33428 453074 5072 4446 26 451085.4 17.397727
160
+ 120000 144.8063 453512 5138 4556 21 451282.68 17.3977
161
+ 130000 157.1155 453068 5090 4513 20 451439.71 17.406492
162
+ 140000 168.8955 453436 5140 4538 14 451562.23 17.4067
163
+ 150000 181.00203 452557 5173 4593 19 451682.05 17.403187
164
+ 160000 192.87729 453014 5140 4540 28 451770.03 17.406075
165
+ 170000 205.24296 453162 5156 4580 18 451844.57 17.405206
166
+ 180000 217.49346 453504 5172 4600 17 451929.39 17.404111
167
+ 190000 229.65244 453142 5085 4545 19 451985.42 17.405111
168
+ 200000 241.93273 453290 5053 4462 17 452047.58 17.40617
169
+ Loop time of 241.933 on 128 procs for 200000 steps with 453290 particles
170
+
171
+ MPI task timing breakdown:
172
+ Section | min time | avg time | max time |%varavg| %total
173
+ ---------------------------------------------------------------
174
+ Move | 0.023663 | 10.999 | 70.686 | 429.7 | 4.55
175
+ Coll | 0.30342 | 8.4647 | 69.227 | 388.6 | 3.50
176
+ Sort | 0.10081 | 1.8331 | 12.383 | 178.5 | 0.76
177
+ Comm | 58.305 | 87.833 | 98.403 | 92.3 | 36.30
178
+ Modify | 0.018867 | 0.11126 | 2.2845 | 97.3 | 0.05
179
+ Output | 0.0039503 | 0.0082947 | 0.0095359 | 0.9 | 0.00
180
+ Other | | 132.7 | | | 54.84
181
+
182
+ Particle moves = 90409515815 (90.4B)
183
+ Cells touched = 94403938497 (94.4B)
184
+ Particle comms = 192751496 (193M)
185
+ Boundary collides = 0 (0K)
186
+ Boundary exits = 18360933 (18.4M)
187
+ SurfColl checks = 234010177 (234M)
188
+ SurfColl occurs = 3481234 (3.48M)
189
+ Surf reactions = 0 (0K)
190
+ Collide attempts = 1223654149 (1.22B)
191
+ Collide occurs = 962968978 (963M)
192
+ Reactions = 0 (0K)
193
+ Particles stuck = 0
194
+ Axisymm bad moves = 0
195
+
196
+ Particle-moves/CPUsec/proc: 2.9195e+06
197
+ Particle-moves/step: 452048
198
+ Cell-touches/particle/step: 1.04418
199
+ Particle comm iterations/step: 1
200
+ Particle fraction communicated: 0.00213198
201
+ Particle fraction colliding with boundary: 0
202
+ Particle fraction exiting boundary: 0.000203086
203
+ Surface-checks/particle/step: 0.00258834
204
+ Surface-collisions/particle/step: 3.85052e-05
205
+ Surf-reactions/particle/step: 0
206
+ Collision-attempts/particle/step: 0.0135346
207
+ Collisions/particle/step: 0.0106512
208
+ Reactions/particle/step: 0
209
+
210
+ Particles: 3541.33 ave 24614 max 0 min
211
+ Histogram: 84 16 6 10 2 5 1 2 0 2
212
+ Cells: 466.195 ave 467 max 465 min
213
+ Histogram: 2 0 0 0 0 99 0 0 0 27
214
+ GhostCell: 12074.5 ave 22142 max 674 min
215
+ Histogram: 18 12 12 10 17 3 6 4 16 30
216
+ EmptyCell: 0 ave 0 max 0 min
217
+ Histogram: 128 0 0 0 0 0 0 0 0 0
218
+ Surfs: 200 ave 200 max 200 min
219
+ Histogram: 128 0 0 0 0 0 0 0 0 0
220
+ GhostSurf: 0 ave 0 max 0 min
221
+ Histogram: 128 0 0 0 0 0 0 0 0 0
222
+ compute 1 grid all air n nrho massrho u v w
223
+ compute 2 grid all air trot
224
+ compute 3 tvib/grid all air
225
+ compute 4 thermal/grid all air press temp
226
+ fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
227
+ fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
228
+ fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
229
+ dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
230
+ dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
231
+ dump_modify 1 format float %12.5g
232
+ compute 5 surf all air n press px py shx shy fx fy etot erot evib
233
+ fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
234
+ fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
235
+ fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
236
+ dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
237
+ dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
238
+ dump_modify 2 format float %12.5g
239
+ compute 6 lambda/grid f_1[2] f_1[8] Ar kx
240
+ dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
241
+ dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
242
+ dump_modify 3 format float %12.5g
243
+ run 100000
244
+ Memory usage per proc in Mbytes:
245
+ particles (ave,min,max) = 1.6875 0 3.375
246
+ grid (ave,min,max) = 3.07385 1.51379 5.26379
247
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
248
+ total (ave,min,max) = 4.93871 3.37849 7.129
249
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
250
+ 200000 0 453290 5053 4462 0 0 0
251
+ 210000 22.091675 453014 5139 4547 15 453240.95 17.5303
252
+ 220000 45.179563 452798 5012 4427 22 453205.39 17.45455
253
+ 230000 68.076209 453119 5097 4533 17 453153.41 17.434033
254
+ 240000 91.005765 452776 5111 4551 13 453155.88 17.429225
255
+ 250000 114.27375 453534 5150 4550 18 453116.25 17.44458
256
+ 260000 135.94916 453549 5131 4494 20 453122.56 17.437817
257
+ 270000 159.06254 453180 5223 4593 22 453134.85 17.4271
258
+ 280000 181.59018 452996 5183 4620 14 453174.73 17.430312
259
+ 290000 203.72368 453075 5147 4566 11 453197.22 17.422056
260
+ 300000 226.67434 453049 5122 4555 19 453200.33 17.42749
261
+ Loop time of 226.675 on 128 procs for 100000 steps with 453049 particles
262
+
263
+ MPI task timing breakdown:
264
+ Section | min time | avg time | max time |%varavg| %total
265
+ ---------------------------------------------------------------
266
+ Move | 0.01265 | 5.5415 | 35.64 | 304.2 | 2.44
267
+ Coll | 0.1511 | 4.2632 | 35.371 | 277.8 | 1.88
268
+ Sort | 0.055319 | 0.92916 | 6.2747 | 126.2 | 0.41
269
+ Comm | 37.096 | 51.855 | 57.573 | 61.2 | 22.88
270
+ Modify | 2.1195 | 15.187 | 94.527 | 471.5 | 6.70
271
+ Output | 0.038042 | 0.0395 | 0.043158 | 0.6 | 0.02
272
+ Other | | 148.9 | | | 65.67
273
+
274
+ Particle moves = 45320033375 (45.3B)
275
+ Cells touched = 47321448451 (47.3B)
276
+ Particle comms = 96560746 (96.6M)
277
+ Boundary collides = 0 (0K)
278
+ Boundary exits = 9203558 (9.2M)
279
+ SurfColl checks = 117134953 (117M)
280
+ SurfColl occurs = 1742749 (1.74M)
281
+ Surf reactions = 0 (0K)
282
+ Collide attempts = 616235018 (616M)
283
+ Collide occurs = 484935773 (485M)
284
+ Reactions = 0 (0K)
285
+ Particles stuck = 0
286
+ Axisymm bad moves = 0
287
+
288
+ Particle-moves/CPUsec/proc: 1.56199e+06
289
+ Particle-moves/step: 453200
290
+ Cell-touches/particle/step: 1.04416
291
+ Particle comm iterations/step: 1
292
+ Particle fraction communicated: 0.00213064
293
+ Particle fraction colliding with boundary: 0
294
+ Particle fraction exiting boundary: 0.000203079
295
+ Surface-checks/particle/step: 0.00258462
296
+ Surface-collisions/particle/step: 3.84543e-05
297
+ Surf-reactions/particle/step: 0
298
+ Collision-attempts/particle/step: 0.0135974
299
+ Collisions/particle/step: 0.0107003
300
+ Reactions/particle/step: 0
301
+
302
+ Particles: 3539.45 ave 24450 max 0 min
303
+ Histogram: 84 16 5 11 2 4 2 2 0 2
304
+ Cells: 466.195 ave 467 max 465 min
305
+ Histogram: 2 0 0 0 0 99 0 0 0 27
306
+ GhostCell: 12074.5 ave 22142 max 674 min
307
+ Histogram: 18 12 12 10 17 3 6 4 16 30
308
+ EmptyCell: 0 ave 0 max 0 min
309
+ Histogram: 128 0 0 0 0 0 0 0 0 0
310
+ Surfs: 200 ave 200 max 200 min
311
+ Histogram: 128 0 0 0 0 0 0 0 0 0
312
+ GhostSurf: 0 ave 0 max 0 min
313
+ Histogram: 128 0 0 0 0 0 0 0 0 0
314
+ write_grid grid/final-grid.dat
315
+ grid cells = 59673
316
+ CPU time = 0.00866756 secs
317
+ write_surf surf/geom.surf
318
+ surf elements = 200
319
+ CPU time = 0.00162001 secs
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/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/Kn0p36/simulation0796_Kn0p36Ma6p5/output/grid.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/output/lambdakn.300000.dat ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/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 0.0019 0.057512 -0.057505 0.00090336 2.7592e-05 0.0017564 -0.00090282 4.1778e-05 17.155 0 0
11
+ 129 -0.31871 0.38526 -0.30645 0.39508 0.1392 4.7534 2.972 -3.7097 0.80657 0.64619 0.059352 -0.04812 1755 0 0
12
+ 2 0.49975 -0.015705 0.49901 -0.031395 0.0022 0.06813 -0.068054 0.0032093 0.00022499 0.0047709 -0.0010654 0.00012535 20.686 0 0
13
+ 130 -0.30645 0.39508 -0.29389 0.40451 0.13196 4.4756 2.6872 -3.579 0.83731 0.62867 0.055361 -0.046342 1636.5 0 0
14
+ 3 0.49901 -0.031395 0.49778 -0.047054 0.00166 0.052135 -0.051974 0.0040904 0.00011232 0.0014272 -0.0008146 8.6667e-05 15.605 0 0
15
+ 131 -0.29389 0.40451 -0.28104 0.41354 0.12654 4.3422 2.4968 -3.5525 0.84088 0.59098 0.052425 -0.046518 1609.9 0 0
16
+ 4 0.49778 -0.047054 0.49606 -0.062667 0.00189 0.055928 -0.05559 0.0061372 -0.00036592 -0.0033144 -0.00087892 4.4339e-05 17.312 0 0
17
+ 132 -0.28104 0.41354 -0.26791 0.42216 0.11736 4.0198 2.2069 -3.3597 0.8138 0.53457 0.047448 -0.044376 1494.3 0 0
18
+ 5 0.49606 -0.062667 0.49384 -0.078217 0.00194 0.058869 -0.058282 0.0082947 0.00012092 0.00084965 -0.00091355 0.00014363 18.689 0 0
19
+ 133 -0.26791 0.42216 -0.25452 0.43037 0.11492 3.8979 2.0367 -3.3235 0.82123 0.50325 0.04489 -0.044299 1419.8 0 0
20
+ 6 0.49384 -0.078217 0.49114 -0.093691 0.00167 0.049034 -0.048304 0.0084303 0.0017424 0.0099836 -0.00073135 0.00028923 16.497 0 0
21
+ 134 -0.25452 0.43037 -0.24088 0.43815 0.10575 3.5828 1.7751 -3.1121 0.80363 0.45838 0.040505 -0.041683 1295 0 0
22
+ 7 0.49114 -0.093691 0.48796 -0.10907 0.00176 0.052734 -0.051638 0.010694 0.00035773 0.0017274 -0.00080547 0.0001951 16.063 0 0
23
+ 135 -0.24088 0.43815 -0.227 0.4455 0.10294 3.5097 1.6423 -3.1018 0.89841 0.47568 0.039908 -0.041249 1351 0 0
24
+ 8 0.48796 -0.10907 0.48429 -0.12434 0.00195 0.056758 -0.05519 0.01325 0.0014262 0.0059405 -0.00084448 0.00030143 18.183 0 0
25
+ 136 -0.227 0.4455 -0.21289 0.45241 0.09241 3.1341 1.3788 -2.8145 0.81221 0.3979 0.034415 -0.037958 1191.3 0 0
26
+ 9 0.48429 -0.12434 0.48015 -0.1395 0.00173 0.052261 -0.050408 0.01379 0.00083291 0.0030446 -0.0007787 0.00026443 16 0 0
27
+ 137 -0.21289 0.45241 -0.19857 0.45888 0.08979 3.0373 1.2499 -2.7682 0.84711 0.38248 0.032938 -0.037474 1137.9 0 0
28
+ 10 0.48015 -0.1395 0.47553 -0.15451 0.00169 0.046526 -0.044469 0.01368 0.0022884 0.0074386 -0.00066254 0.00033172 15.396 0 0
29
+ 138 -0.19857 0.45888 -0.18406 0.46489 0.08405 2.8424 1.0877 -2.626 0.79878 0.33086 0.029632 -0.036051 1085 0 0
30
+ 11 0.47553 -0.15451 0.47044 -0.16937 0.00171 0.049398 -0.046735 0.016001 0.0034868 0.010184 -0.00067931 0.00041129 17.806 0 0
31
+ 139 -0.18406 0.46489 -0.16937 0.47044 0.0798 2.6712 0.94422 -2.4988 0.7911 0.29893 0.027257 -0.034554 1027.6 0 0
32
+ 12 0.47044 -0.16937 0.46489 -0.18406 0.00153 0.045272 -0.042349 0.016002 0.0022902 0.0060607 -0.00062922 0.00034655 17.334 0 0
33
+ 140 -0.16937 0.47044 -0.15451 0.47553 0.07349 2.4885 0.80606 -2.3543 0.77483 0.26528 0.024831 -0.032813 963.35 0 0
34
+ 13 0.46489 -0.18406 0.45888 -0.19857 0.0017 0.04969 -0.045908 0.019016 0.003887 0.009384 -0.00066003 0.00044608 18.285 0 0
35
+ 141 -0.15451 0.47553 -0.1395 0.48015 0.0688 2.2952 0.67489 -2.1938 0.74198 0.22826 0.022255 -0.030873 892.93 0 0
36
+ 14 0.45888 -0.19857 0.45241 -0.21289 0.00164 0.047456 -0.043252 0.019529 0.0043064 0.0095377 -0.00061173 0.00045656 16.974 0 0
37
+ 142 -0.1395 0.48015 -0.12434 0.48429 0.06432 2.1844 0.57641 -2.107 0.7389 0.20214 0.02066 -0.02992 856.8 0 0
38
+ 15 0.45241 -0.21289 0.4455 -0.227 0.00191 0.053846 -0.048356 0.023689 0.0082712 0.016884 -0.00062962 0.00063729 23.341 0 0
39
+ 143 -0.12434 0.48429 -0.10907 0.48796 0.06268 2.0846 0.48664 -2.027 0.73506 0.17647 0.01919 -0.029067 817.23 0 0
40
+ 16 0.4455 -0.227 0.43815 -0.24088 0.00189 0.051322 -0.045356 0.024015 0.010197 0.019259 -0.00055226 0.00067972 18.119 0 0
41
+ 144 -0.10907 0.48796 -0.093691 0.49114 0.05775 1.9292 0.39123 -1.8892 0.73014 0.1512 0.017614 -0.027299 774.55 0 0
42
+ 17 0.43815 -0.24088 0.43037 -0.25452 0.00198 0.053187 -0.0462 0.026352 0.011501 0.020164 -0.00054502 0.00073064 21.033 0 0
43
+ 145 -0.093691 0.49114 -0.078217 0.49384 0.05216 1.7457 0.30013 -1.7197 0.67685 0.11813 0.015346 -0.025156 721.29 0 0
44
+ 18 0.43037 -0.25452 0.42216 -0.26791 0.00204 0.059269 -0.050535 0.030968 0.011672 0.019047 -0.00061043 0.00078559 23.768 0 0
45
+ 146 -0.078217 0.49384 -0.062667 0.49606 0.04765 1.5821 0.22292 -1.5663 0.63828 0.090841 0.013527 -0.023176 648.49 0 0
46
+ 19 0.42216 -0.26791 0.41354 -0.28104 0.0017 0.04875 -0.040746 0.026765 0.013919 0.021189 -0.00042138 0.00075323 23.707 0 0
47
+ 147 -0.062667 0.49606 -0.047054 0.49778 0.04425 1.4663 0.1609 -1.4574 0.64242 0.070924 0.012618 -0.021778 610.49 0 0
48
+ 20 0.41354 -0.28104 0.40451 -0.29389 0.00189 0.050412 -0.041245 0.028987 0.01943 0.027646 -0.00034265 0.00088956 23.219 0 0
49
+ 148 -0.047054 0.49778 -0.031395 0.49901 0.04037 1.3441 0.10546 -1.3399 0.58185 0.045792 0.010796 -0.020328 562.81 0 0
50
+ 21 0.40451 -0.29389 0.39508 -0.30645 0.00214 0.058183 -0.046528 0.034934 0.023483 0.031276 -0.00036198 0.00104 27.265 0 0
51
+ 149 -0.031395 0.49901 -0.015705 0.49975 0.03759 1.2423 0.058522 -1.241 0.59483 0.028052 0.010262 -0.019051 545.38 0 0
52
+ 22 0.39508 -0.30645 0.38526 -0.31871 0.00254 0.071101 -0.05549 0.044456 0.026955 0.033646 -0.0004482 0.0012268 29.032 0 0
53
+ 150 -0.015705 0.49975 0 0.5 0.03455 1.1421 0.017939 -1.1419 0.55014 0.0086423 0.008923 -0.017801 498.75 0 0
54
+ 23 0.38526 -0.31871 0.37506 -0.33066 0.00245 0.066581 -0.050628 0.043241 0.029641 0.034706 -0.00032965 0.0012243 36.576 0 0
55
+ 151 0 0.5 0.015705 0.49975 0.03211 1.0519 -0.016522 -1.0517 0.50271 -0.0078972 0.0076367 -0.016644 434 0 0
56
+ 24 0.37506 -0.33066 0.36448 -0.34227 0.0031 0.086252 -0.063794 0.058048 0.036224 0.03981 -0.00043305 0.0015371 33.347 0 0
57
+ 152 0.015705 0.49975 0.031395 0.49901 0.02943 0.96388 -0.045405 -0.96281 0.49202 -0.023203 0.0070152 -0.015488 418.77 0 0
58
+ 25 0.36448 -0.34227 0.35355 -0.35355 0.00306 0.083682 -0.060094 0.058235 0.043503 0.044892 -0.0002606 0.0016199 40.879 0 0
59
+ 153 0.031395 0.49901 0.047054 0.49778 0.02785 0.90573 -0.071063 -0.90294 0.4499 -0.035408 0.0059505 -0.014739 390.25 0 0
60
+ 26 0.35355 -0.35355 0.34227 -0.36448 0.0034 0.094078 -0.06547 0.06756 0.0537 0.052039 -0.00018488 0.0018786 50.016 0 0
61
+ 154 0.047054 0.49778 0.062667 0.49606 0.02474 0.80272 -0.088086 -0.79787 0.43158 -0.047647 0.0053953 -0.013281 359.91 0 0
62
+ 27 0.34227 -0.36448 0.33066 -0.37506 0.00353 0.098125 -0.066039 0.072576 0.058245 0.052999 -0.00012242 0.0019725 50.327 0 0
63
+ 155 0.062667 0.49606 0.078217 0.49384 0.02281 0.73467 -0.10352 -0.72734 0.3826 -0.054452 0.0043837 -0.01228 321.35 0 0
64
+ 28 0.33066 -0.37506 0.31871 -0.38526 0.00394 0.1101 -0.071507 0.083724 0.069802 0.059617 -2.677e-05 0.0022515 59.288 0 0
65
+ 156 0.078217 0.49384 0.093691 0.49114 0.02083 0.65696 -0.11295 -0.64718 0.38054 -0.066416 0.0042032 -0.011209 307.08 0 0
66
+ 29 0.31871 -0.38526 0.30645 -0.39508 0.00436 0.12506 -0.078191 0.097598 0.075455 0.060451 -4.2963e-05 0.0024825 67.279 0 0
67
+ 157 0.093691 0.49114 0.10907 0.48796 0.02001 0.62957 -0.12767 -0.61649 0.36218 -0.075004 0.0036835 -0.010862 286.97 0 0
68
+ 30 0.30645 -0.39508 0.29389 -0.40451 0.00474 0.13359 -0.08021 0.10683 0.086797 0.065169 0.00010346 0.0027016 64.79 0 0
69
+ 158 0.10907 0.48796 0.12434 0.48429 0.0172 0.54595 -0.12745 -0.53086 0.32822 -0.078799 0.0031536 -0.0095762 266.79 0 0
70
+ 31 0.29389 -0.40451 0.28104 -0.41354 0.00521 0.14702 -0.084537 0.12028 0.096323 0.067697 0.00018512 0.0029527 71.629 0 0
71
+ 159 0.12434 0.48429 0.1395 0.48015 0.016 0.51005 -0.13459 -0.49197 0.30362 -0.083061 0.002655 -0.0090322 244.32 0 0
72
+ 32 0.28104 -0.41354 0.26791 -0.42216 0.00615 0.17951 -0.098557 0.15004 0.11705 0.07689 0.00029054 0.0035644 88.765 0 0
73
+ 160 0.1395 0.48015 0.15451 0.47553 0.0139 0.43553 -0.12806 -0.41628 0.2634 -0.081032 0.0021258 -0.0078114 199.33 0 0
74
+ 33 0.26791 -0.42216 0.25452 -0.43037 0.00607 0.1758 -0.091854 0.14989 0.11256 0.068977 0.00032523 0.0034379 88.401 0 0
75
+ 161 0.15451 0.47553 0.16937 0.47044 0.01307 0.41669 -0.13497 -0.39423 0.26148 -0.089524 0.0019871 -0.0075984 205.38 0 0
76
+ 34 0.25452 -0.43037 0.24088 -0.43815 0.00679 0.20017 -0.099176 0.17387 0.13787 0.078637 0.00060771 0.0039663 103.61 0 0
77
+ 162 0.16937 0.47044 0.18406 0.46489 0.01208 0.36931 -0.13054 -0.34546 0.24443 -0.092362 0.0017889 -0.0068771 194.43 0 0
78
+ 35 0.24088 -0.43815 0.227 -0.4455 0.00846 0.25447 -0.11907 0.22489 0.16853 0.089231 0.0007768 0.004934 125.8 0 0
79
+ 163 0.18406 0.46489 0.19857 0.45888 0.01017 0.31352 -0.11998 -0.28966 0.19661 -0.081437 0.0012036 -0.0058289 158.48 0 0
80
+ 36 0.227 -0.4455 0.21289 -0.45241 0.0094 0.29012 -0.12764 0.26054 0.18629 0.091264 0.00092135 0.0055258 146.55 0 0
81
+ 164 0.19857 0.45888 0.21289 0.45241 0.01042 0.31752 -0.13066 -0.28939 0.2098 -0.09473 0.0012431 -0.0060334 159.75 0 0
82
+ 37 0.21289 -0.45241 0.19857 -0.45888 0.00986 0.30253 -0.12449 0.27572 0.20663 0.093297 0.0012901 0.0057963 155.68 0 0
83
+ 165 0.21289 0.45241 0.227 0.4455 0.00888 0.27074 -0.11911 -0.24313 0.18431 -0.090294 0.0010242 -0.0052372 141.85 0 0
84
+ 38 0.19857 -0.45888 0.18406 -0.46489 0.01103 0.34832 -0.1333 0.32181 0.22259 0.092198 0.0014025 0.0065029 175.59 0 0
85
+ 166 0.227 0.4455 0.24088 0.43815 0.00835 0.24779 -0.11595 -0.21899 0.17799 -0.094242 0.00097455 -0.00492 137.07 0 0
86
+ 39 0.18406 -0.46489 0.16937 -0.47044 0.01254 0.39427 -0.13936 0.36882 0.24274 0.091726 0.0016238 0.0072339 192.5 0 0
87
+ 167 0.24088 0.43815 0.25452 0.43037 0.0079 0.22597 -0.11196 -0.19629 0.1483 -0.084589 0.00057078 -0.0044118 113.66 0 0
88
+ 40 0.16937 -0.47044 0.15451 -0.47553 0.01325 0.41879 -0.13565 0.39621 0.24795 0.084891 0.0017638 0.0075568 203.34 0 0
89
+ 168 0.25452 0.43037 0.26791 0.42216 0.00643 0.19326 -0.10098 -0.16478 0.13005 -0.079692 0.00045657 -0.00384 102.26 0 0
90
+ 41 0.15451 -0.47553 0.1395 -0.48015 0.01411 0.43171 -0.12694 0.41263 0.26425 0.081294 0.0021567 0.0077582 205.33 0 0
91
+ 169 0.26791 0.42216 0.28104 0.41354 0.00602 0.17667 -0.096993 -0.14766 0.11566 -0.075971 0.00029313 -0.0035126 90.309 0 0
92
+ 42 0.1395 -0.48015 0.12434 -0.48429 0.01602 0.50535 -0.13335 0.48744 0.30079 0.082286 0.00263 0.0089489 239.54 0 0
93
+ 170 0.28104 0.41354 0.29389 0.40451 0.00521 0.15109 -0.086875 -0.12361 0.10009 -0.070347 0.00020762 -0.0030466 84.384 0 0
94
+ 43 0.12434 -0.48429 0.10907 -0.48796 0.0177 0.57326 -0.13383 0.55742 0.3411 0.081892 0.0032558 0.010042 271.97 0 0
95
+ 171 0.29389 0.40451 0.30645 0.39508 0.00476 0.13359 -0.08021 -0.10683 0.08307 -0.062371 4.4924e-05 -0.0026577 64.137 0 0
96
+ 44 0.10907 -0.48796 0.093691 -0.49114 0.0192 0.61186 -0.12408 0.59915 0.33898 0.070199 0.0033755 0.010514 278.34 0 0
97
+ 172 0.30645 0.39508 0.31871 0.38526 0.0046 0.12961 -0.081037 -0.10115 0.083106 -0.06658 3.2494e-05 -0.0026346 63.708 0 0
98
+ 45 0.093691 -0.49114 0.078217 -0.49384 0.02072 0.65597 -0.11278 0.64621 0.37496 0.06544 0.0041181 0.011178 298.94 0 0
99
+ 173 0.31871 0.38526 0.33066 0.37506 0.00399 0.11041 -0.071703 -0.083953 0.075166 -0.064198 5.4403e-05 -0.0023271 64.731 0 0
100
+ 46 0.078217 -0.49384 0.062667 -0.49606 0.02348 0.7524 -0.10601 0.74489 0.41319 0.058806 0.0048249 0.012624 342.38 0 0
101
+ 174 0.33066 0.37506 0.34227 0.36448 0.00335 0.091095 -0.061308 -0.067377 0.058237 -0.052992 -4.8237e-05 -0.0018907 48.176 0 0
102
+ 47 0.062667 -0.49606 0.047054 -0.49778 0.02561 0.83436 -0.091557 0.82932 0.4284 0.047296 0.0052909 0.013769 366.22 0 0
103
+ 175 0.34227 0.36448 0.35355 0.35355 0.0035 0.097097 -0.067571 -0.069728 0.05905 -0.057223 -0.00013384 -0.0019941 51.499 0 0
104
+ 48 0.047054 -0.49778 0.031395 -0.49901 0.02798 0.91321 -0.07165 0.9104 0.45658 0.035934 0.0060462 0.014864 415.28 0 0
105
+ 176 0.35355 0.35355 0.36448 0.34227 0.00293 0.080465 -0.057784 -0.055996 0.045875 -0.047339 -0.00018706 -0.0016231 44.216 0 0
106
+ 49 0.031395 -0.49901 0.015705 -0.49975 0.02957 0.96272 -0.045351 0.96166 0.47898 0.022588 0.0068112 0.01546 417.03 0 0
107
+ 177 0.36448 0.34227 0.37506 0.33066 0.00292 0.079726 -0.058968 -0.053656 0.041213 -0.045292 -0.00027888 -0.0015542 39.01 0 0
108
+ 50 0.015705 -0.49975 0 -0.5 0.03162 1.0272 -0.016135 1.0271 0.50415 0.0079198 0.0076653 0.016257 444.86 0 0
109
+ 178 0.37506 0.33066 0.38526 0.31871 0.00255 0.074243 -0.056455 -0.048217 0.031228 -0.036563 -0.00039625 -0.0013317 37.504 0 0
110
+ 51 0 -0.5 -0.015705 -0.49975 0.03411 1.1319 0.017779 1.1318 0.53661 -0.0084297 0.0087079 0.017645 494.53 0 0
111
+ 179 0.38526 0.31871 0.39508 0.30645 0.00247 0.0676 -0.052757 -0.042266 0.030351 -0.037884 -0.00035193 -0.0012589 31.701 0 0
112
+ 52 -0.015705 -0.49975 -0.031395 -0.49901 0.03758 1.2391 0.058369 1.2377 0.5645 -0.026621 0.0097835 0.019023 526.26 0 0
113
+ 180 0.39508 0.30645 0.40451 0.29389 0.00222 0.059729 -0.047764 -0.035862 0.02342 -0.031192 -0.00038238 -0.0010532 31.486 0 0
114
+ 53 -0.031395 -0.49901 -0.047054 -0.49778 0.04137 1.3736 0.10777 1.3694 0.57928 -0.04559 0.010792 0.020793 567.39 0 0
115
+ 181 0.40451 0.29389 0.41354 0.28104 0.00215 0.060326 -0.049355 -0.034688 0.016972 -0.024148 -0.00050866 -0.00092415 27.022 0 0
116
+ 54 -0.047054 -0.49778 -0.062667 -0.49606 0.04503 1.502 0.16482 1.4929 0.66243 -0.073133 0.012994 0.022301 639.57 0 0
117
+ 182 0.41354 0.28104 0.42216 0.26791 0.0021 0.057885 -0.048381 -0.03178 0.017807 -0.027108 -0.00048024 -0.00092497 19.579 0 0
118
+ 55 -0.062667 -0.49606 -0.078217 -0.49384 0.0483 1.5931 0.22447 1.5772 0.65631 -0.093407 0.013835 0.023306 665.39 0 0
119
+ 183 0.42216 0.26791 0.43037 0.25452 0.00192 0.055543 -0.047359 -0.029021 0.013738 -0.022419 -0.00052808 -0.00080799 21.382 0 0
120
+ 56 -0.078217 -0.49384 -0.093691 -0.49114 0.05231 1.7432 0.29971 1.7173 0.68041 -0.11875 0.015395 0.025109 702.53 0 0
121
+ 184 0.43037 0.25452 0.43815 0.24088 0.00204 0.055223 -0.047968 -0.027361 0.011125 -0.019504 -0.00057871 -0.00073611 17.765 0 0
122
+ 57 -0.093691 -0.49114 -0.10907 -0.48796 0.05497 1.8471 0.37458 1.8088 0.69652 -0.14424 0.016824 0.026145 747.92 0 0
123
+ 185 0.43815 0.24088 0.4455 0.227 0.00181 0.050979 -0.045054 -0.023855 0.0097058 -0.018331 -0.00055522 -0.00066262 17.681 0 0
124
+ 58 -0.10907 -0.48796 -0.12434 -0.48429 0.05992 2.0144 0.47026 1.9588 0.74028 -0.17772 0.019014 0.027976 813.06 0 0
125
+ 186 0.4455 0.227 0.45241 0.21289 0.0019 0.051207 -0.045985 -0.022528 0.005155 -0.010523 -0.00064133 -0.00051914 20.828 0 0
126
+ 59 -0.12434 -0.48429 -0.1395 -0.48015 0.06472 2.1677 0.572 2.0909 0.74284 -0.20322 0.020653 0.02965 860.64 0 0
127
+ 187 0.45241 0.21289 0.45888 0.19857 0.00167 0.047388 -0.04319 -0.019501 0.0044829 -0.0099286 -0.00060798 -0.00046226 16.411 0 0
128
+ 60 -0.1395 -0.48015 -0.15451 -0.47553 0.06938 2.3237 0.68327 2.221 0.79816 -0.24555 0.023269 0.031029 924.84 0 0
129
+ 188 0.45888 0.19857 0.46489 0.18406 0.00181 0.050674 -0.046817 -0.019392 0.0060209 -0.014536 -0.00064079 -0.00053292 17.865 0 0
130
+ 61 -0.15451 -0.47553 -0.16937 -0.47044 0.07296 2.4672 0.79917 2.3342 0.79818 -0.27328 0.02509 0.032371 961.29 0 0
131
+ 189 0.46489 0.18406 0.47044 0.16937 0.00178 0.053645 -0.050182 -0.018962 0.0027746 -0.0073427 -0.00074464 -0.00041318 17.425 0 0
132
+ 62 -0.16937 -0.47044 -0.18406 -0.46489 0.0786 2.6379 0.93243 2.4676 0.76388 -0.28865 0.026644 0.034225 989.85 0 0
133
+ 190 0.47044 0.16937 0.47553 0.15451 0.00181 0.053253 -0.050382 -0.01725 0.0024651 -0.0072 -0.00075265 -0.00038404 12.591 0 0
134
+ 63 -0.18406 -0.46489 -0.19857 -0.45888 0.08284 2.828 1.0822 2.6128 0.8102 -0.3356 0.029725 0.035768 1106.3 0 0
135
+ 191 0.47553 0.15451 0.48015 0.1395 0.00176 0.054188 -0.051792 -0.015933 0.0013623 -0.0044282 -0.00079212 -0.00031982 20.298 0 0
136
+ 64 -0.19857 -0.45888 -0.21289 -0.45241 0.09077 3.0606 1.2595 2.7894 0.82314 -0.37166 0.032712 0.037977 1137.1 0 0
137
+ 192 0.48015 0.1395 0.48429 0.12434 0.00181 0.055829 -0.05385 -0.014732 0.0018658 -0.0068204 -0.00081653 -0.00033852 17.255 0 0
138
+ 65 -0.21289 -0.45241 -0.227 -0.4455 0.09745 3.2847 1.4451 2.9497 0.85359 -0.41817 0.036106 0.039764 1243 0 0
139
+ 193 0.48429 0.12434 0.48796 0.10907 0.00185 0.056528 -0.054966 -0.013196 0.0013109 -0.0054602 -0.00084278 -0.00029304 19.13 0 0
140
+ 66 -0.227 -0.4455 -0.24088 -0.43815 0.10148 3.4503 1.6145 3.0493 0.84842 -0.44921 0.038686 0.04084 1286.7 0 0
141
+ 194 0.48796 0.10907 0.49114 0.093691 0.00188 0.057424 -0.056231 -0.011645 0.0001982 -0.00095705 -0.00088012 -0.00019794 19.031 0 0
142
+ 67 -0.24088 -0.43815 -0.25452 -0.43037 0.11096 3.7194 1.8428 3.2308 0.85718 -0.48893 0.04241 0.043068 1365.3 0 0
143
+ 195 0.49114 0.093691 0.49384 0.078217 0.00168 0.052577 -0.051794 -0.0090395 0.00058313 -0.0033412 -0.00080438 -0.00019447 14.239 0 0
144
+ 68 -0.25452 -0.43037 -0.26791 -0.42216 0.1131 3.8172 1.9945 3.2547 0.80939 -0.496 0.044041 0.043332 1371.4 0 0
145
+ 196 0.49384 0.078217 0.49606 0.062667 0.00196 0.060952 -0.060344 -0.0085882 0.00021651 -0.0015213 -0.00094443 -0.00015879 18.212 0 0
146
+ 69 -0.26791 -0.42216 -0.28104 -0.41354 0.12151 4.109 2.256 3.4344 0.82459 -0.54165 0.048387 0.045437 1491.7 0 0
147
+ 197 0.49606 0.062667 0.49778 0.047054 0.00195 0.061269 -0.060899 -0.0067233 0.0006202 -0.0056177 -0.00094682 -0.00019384 19.015 0 0
148
+ 70 -0.28104 -0.41354 -0.29389 -0.40451 0.1269 4.3143 2.4808 3.5298 0.82054 -0.57669 0.051854 0.046385 1552.3 0 0
149
+ 198 0.49778 0.047054 0.49901 0.031395 0.00161 0.047266 -0.04712 -0.0037084 9.5928e-05 -0.0012189 -0.00073862 -7.7395e-05 15.521 0 0
150
+ 71 -0.29389 -0.40451 -0.30645 -0.39508 0.13511 4.6286 2.7791 3.7014 0.8336 -0.62589 0.056746 0.048308 1667.2 0 0
151
+ 199 0.49901 0.031395 0.49975 0.015705 0.00214 0.065598 -0.065525 -0.0030901 -2.3055e-05 0.00048888 -0.0010296 -4.0858e-05 20.287 0 0
152
+ 72 -0.30645 -0.39508 -0.31871 -0.38526 0.13902 4.7524 2.9714 3.7089 0.76168 -0.61022 0.058637 0.048673 1691.6 0 0
153
+ 200 0.49975 0.015705 0.5 0 0.00165 0.047857 -0.047851 -0.0007517 5.1816e-05 -0.0032985 -0.0007508 -6.3617e-05 15.502 0 0
154
+ 73 -0.31871 -0.38526 -0.33066 -0.37506 0.1464 4.9615 3.2222 3.7727 0.79268 -0.67701 0.063063 0.048625 1795.9 0 0
155
+ 74 -0.33066 -0.37506 -0.34227 -0.36448 0.15394 5.2238 3.5157 3.8637 0.76387 -0.69507 0.06722 0.04977 1854.4 0 0
156
+ 75 -0.34227 -0.36448 -0.35355 -0.35355 0.1628 5.5678 3.8747 3.9984 0.73181 -0.70917 0.072356 0.051665 1999.5 0 0
157
+ 76 -0.35355 -0.35355 -0.36448 -0.34227 0.16739 5.7034 4.0958 3.9691 0.69759 -0.71986 0.075291 0.051036 2025.1 0 0
158
+ 77 -0.36448 -0.34227 -0.37506 -0.33066 0.17584 5.9958 4.4347 4.0352 0.69393 -0.76261 0.080557 0.051404 2136.4 0 0
159
+ 78 -0.37506 -0.33066 -0.38526 -0.31871 0.18264 6.1724 4.6935 4.0087 0.69296 -0.81135 0.084608 0.050221 2181.4 0 0
160
+ 79 -0.38526 -0.31871 -0.39508 -0.30645 0.19148 6.5027 5.0749 4.0658 0.64046 -0.79942 0.089773 0.051306 2292.8 0 0
161
+ 80 -0.39508 -0.30645 -0.40451 -0.29389 0.19853 6.7746 5.4176 4.0676 0.61318 -0.81668 0.094727 0.051064 2416.3 0 0
162
+ 81 -0.40451 -0.29389 -0.41354 -0.28104 0.2086 7.0934 5.8034 4.0787 0.5702 -0.81131 0.10011 0.051322 2458.4 0 0
163
+ 82 -0.41354 -0.28104 -0.42216 -0.26791 0.21371 7.2401 6.0513 3.975 0.51394 -0.7824 0.10312 0.050147 2483.2 0 0
164
+ 83 -0.42216 -0.26791 -0.43037 -0.25452 0.21864 7.4213 6.3277 3.8776 0.48002 -0.78332 0.10693 0.048603 2578.6 0 0
165
+ 84 -0.43037 -0.25452 -0.43815 -0.24088 0.22811 7.7101 6.6972 3.82 0.46651 -0.81789 0.11252 0.047156 2623.4 0 0
166
+ 85 -0.43815 -0.24088 -0.4455 -0.227 0.23634 7.9539 7.0294 3.7219 0.38755 -0.73195 0.1165 0.046964 2645.6 0 0
167
+ 86 -0.4455 -0.227 -0.45241 -0.21289 0.23768 8.0413 7.2214 3.5377 0.34494 -0.70412 0.11885 0.044508 2710.1 0 0
168
+ 87 -0.45241 -0.21289 -0.45888 -0.19857 0.24649 8.3659 7.6247 3.4427 0.33324 -0.73805 0.125 0.042483 2869.3 0 0
169
+ 88 -0.45888 -0.19857 -0.46489 -0.18406 0.25347 8.5681 7.9158 3.2789 0.30946 -0.7471 0.1292 0.039767 2902.8 0 0
170
+ 89 -0.46489 -0.18406 -0.47044 -0.16937 0.25783 8.7225 8.1594 3.0832 0.23671 -0.62644 0.13188 0.038589 2918.1 0 0
171
+ 90 -0.47044 -0.16937 -0.47553 -0.15451 0.26178 8.8292 8.3532 2.8599 0.22019 -0.64312 0.13466 0.03482 2973.3 0 0
172
+ 91 -0.47553 -0.15451 -0.48015 -0.1395 0.2669 9.0042 8.6061 2.6476 0.16733 -0.54393 0.13781 0.033043 2971.2 0 0
173
+ 92 -0.48015 -0.1395 -0.48429 -0.12434 0.2715 9.2223 8.8954 2.4335 0.14775 -0.54008 0.14204 0.029741 3125.3 0 0
174
+ 93 -0.48429 -0.12434 -0.48796 -0.10907 0.27634 9.313 9.0557 2.1741 0.1138 -0.47401 0.14403 0.026703 3110.8 0 0
175
+ 94 -0.48796 -0.10907 -0.49114 -0.093691 0.27957 9.4034 9.2081 1.9069 0.08977 -0.43348 0.14604 0.023143 3103.7 0 0
176
+ 95 -0.49114 -0.093691 -0.49384 -0.078217 0.2815 9.5863 9.4436 1.6482 0.063816 -0.36565 0.14934 0.020145 3307.6 0 0
177
+ 96 -0.49384 -0.078217 -0.49606 -0.062667 0.28283 9.6199 9.5239 1.3555 0.040096 -0.28173 0.15023 0.016865 3235.4 0 0
178
+ 97 -0.49606 -0.062667 -0.49778 -0.047054 0.28725 9.7533 9.6944 1.0703 0.025518 -0.23114 0.15267 0.01318 3229.9 0 0
179
+ 98 -0.49778 -0.047054 -0.49901 -0.031395 0.2902 9.846 9.8157 0.77251 0.0096527 -0.12265 0.15433 0.010208 3311.6 0 0
180
+ 99 -0.49901 -0.031395 -0.49975 -0.015705 0.28951 9.8571 9.8461 0.46433 0.0074004 -0.15693 0.15477 0.0048285 3324.6 0 0
181
+ 100 -0.49975 -0.015705 -0.5 0 0.29173 9.8271 9.8259 0.15436 -0.00054496 0.03469 0.15433 0.0029694 3286 0 0
182
+ 101 -0.5 0 -0.49975 0.015705 0.28829 9.7625 9.7613 -0.15334 0.001277 0.081292 0.15334 -0.0011317 3283.3 0 0
183
+ 102 -0.49975 0.015705 -0.49901 0.031395 0.28855 9.7438 9.733 -0.459 0.0060787 0.1289 0.15297 -0.0051849 3238.4 0 0
184
+ 103 -0.49901 0.031395 -0.49778 0.047054 0.28531 9.6823 9.6524 -0.75966 0.010297 0.13083 0.15178 -0.0098772 3249 0 0
185
+ 104 -0.49778 0.047054 -0.49606 0.062667 0.28967 9.7706 9.7116 -1.0722 0.025367 0.22978 0.15294 -0.013232 3233.3 0 0
186
+ 105 -0.49606 0.062667 -0.49384 0.078217 0.28307 9.5352 9.4401 -1.3435 0.039287 0.27604 0.1489 -0.016767 3114.9 0 0
187
+ 106 -0.49384 0.078217 -0.49114 0.093691 0.27982 9.4889 9.3476 -1.6314 0.066442 0.3807 0.14787 -0.019645 3219 0 0
188
+ 107 -0.49114 0.093691 -0.48796 0.10907 0.28091 9.457 9.2605 -1.9178 0.08202 0.39606 0.14675 -0.023902 3097.5 0 0
189
+ 108 -0.48796 0.10907 -0.48429 0.12434 0.27375 9.3049 9.0478 -2.1722 0.11839 0.49312 0.14398 -0.026374 3110.6 0 0
190
+ 109 -0.48429 0.12434 -0.48015 0.1395 0.26862 9.1552 8.8307 -2.4158 0.1391 0.50848 0.14089 -0.029959 3107 0 0
191
+ 110 -0.48015 0.1395 -0.47553 0.15451 0.2689 8.9943 8.5967 -2.6447 0.16479 0.53566 0.13762 -0.033127 2938.2 0 0
192
+ 111 -0.47553 0.15451 -0.47044 0.16937 0.26163 8.8923 8.4129 -2.8804 0.21039 0.6145 0.13545 -0.035591 3044.5 0 0
193
+ 112 -0.47044 0.16937 -0.46489 0.18406 0.25785 8.7258 8.1625 -3.0844 0.24059 0.63669 0.13199 -0.038446 2925 0 0
194
+ 113 -0.46489 0.18406 -0.45888 0.19857 0.25437 8.6196 7.9635 -3.2986 0.28196 0.6807 0.12951 -0.04112 2928.2 0 0
195
+ 114 -0.45888 0.19857 -0.45241 0.21289 0.24563 8.3454 7.6061 -3.4343 0.31666 0.70133 0.12444 -0.042927 2862.3 0 0
196
+ 115 -0.45241 0.21289 -0.4455 0.227 0.23724 8.0896 7.2647 -3.5589 0.3679 0.75097 0.11989 -0.044105 2773.1 0 0
197
+ 116 -0.4455 0.227 -0.43815 0.24088 0.23505 7.9313 7.0094 -3.7113 0.39748 0.75071 0.11634 -0.046503 2652.1 0 0
198
+ 117 -0.43815 0.24088 -0.43037 0.25452 0.23056 7.7726 6.7515 -3.851 0.45372 0.79546 0.11318 -0.047994 2668.8 0 0
199
+ 118 -0.43037 0.25452 -0.42216 0.26791 0.22144 7.4836 6.3809 -3.9102 0.47228 0.7707 0.10764 -0.049313 2557.5 0 0
200
+ 119 -0.42216 0.26791 -0.41354 0.28104 0.21282 7.1933 6.0122 -3.9493 0.51137 0.77848 0.10247 -0.049805 2448.5 0 0
201
+ 120 -0.41354 0.28104 -0.40451 0.29389 0.20644 7.003 5.7295 -4.0268 0.55704 0.79258 0.098745 -0.050801 2405.2 0 0
202
+ 121 -0.40451 0.29389 -0.39508 0.30645 0.19995 6.7788 5.4209 -4.0701 0.60294 0.80304 0.094618 -0.051317 2385.9 0 0
203
+ 122 -0.39508 0.30645 -0.38526 0.31871 0.19179 6.5416 5.1052 -4.0901 0.66212 0.82647 0.09059 -0.051262 2303.1 0 0
204
+ 123 -0.38526 0.31871 -0.37506 0.33066 0.18613 6.325 4.8096 -4.1078 0.66545 0.77915 0.085998 -0.052284 2218.8 0 0
205
+ 124 -0.37506 0.33066 -0.36448 0.34227 0.17698 6.002 4.4393 -4.0394 0.71324 0.78384 0.080932 -0.051136 2101.1 0 0
206
+ 125 -0.36448 0.34227 -0.35355 0.35355 0.16737 5.6747 4.0751 -3.9491 0.72858 0.75184 0.075453 -0.05022 2016.8 0 0
207
+ 126 -0.35355 0.35355 -0.34227 0.36448 0.16067 5.4494 3.7923 -3.9134 0.71924 0.69699 0.070864 -0.050521 1923.5 0 0
208
+ 127 -0.34227 0.36448 -0.33066 0.37506 0.1543 5.2102 3.5065 -3.8536 0.7614 0.69282 0.067038 -0.049648 1849 0 0
209
+ 128 -0.33066 0.37506 -0.31871 0.38526 0.14627 4.9437 3.2107 -3.7592 0.82313 0.70302 0.063361 -0.048005 1746 0 0
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/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/Kn0p36/simulation0796_Kn0p36Ma6p5/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/Kn0p36/simulation0796_Kn0p36Ma6p5/slurm-28429952.out ADDED
@@ -0,0 +1,205 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SPARTA (4 Sep 2024)
2
+ Running on 128 MPI task(s)
3
+ Running on 128 MPI task(s)
4
+ Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
5
+ Created 59673 child grid cells
6
+ CPU time = 0.0929341 secs
7
+ create/ghost percent = 1.23583 98.7642
8
+ Balance grid migrated 59557 cells
9
+ CPU time = 0.0862281 secs
10
+ reassign/sort/migrate/ghost percent = 64.0651 0.0492531 9.38613 26.4995
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
+ 356 0 = cells overlapping surfs, overlap cells with unmarked corner pts
18
+ 53305 6012 356 = cells outside/inside/overlapping surfs
19
+ 356 = surf cells with 1,2,etc splits
20
+ 109.214731023047 109.214731023047 = cell-wise and global flow volume
21
+ CPU time = 0.095939 secs
22
+ read/check/sort/surf2grid/ghost/inout/particle percent = 25.3619 24.9811 2.88585 24.603 22.1682 6.48327 0.214427
23
+ surf2grid time = 0.0236039 secs
24
+ map/comm1/comm2/comm3/comm4/split percent = 12.8216 24.8589 4.31524 2.22932 12.0386 7.91871
25
+ Balance grid migrated 1317 cells
26
+ CPU time = 0.0320715 secs
27
+ reassign/sort/migrate/ghost percent = 8.46042 0.127933 29.5253 61.8863
28
+ Creating particles ...
29
+ WARNING: Created unexpected # of particles: 404497 versus 404499 (../create_particles.cpp:346)
30
+ Created 404497 particles
31
+ CPU time = 0.0132416 secs
32
+ Memory usage per proc in Mbytes:
33
+ particles (ave,min,max) = 1.59521 0 1.6875
34
+ grid (ave,min,max) = 3.07385 1.51379 5.26379
35
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
36
+ total (ave,min,max) = 4.68967 3.22189 6.97189
37
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
38
+ 0 0 404497 0 0 0 0 0
39
+ 10000 10.068793 451380 5124 4564 13 427604.38 16.9296
40
+ 20000 22.309254 452770 5086 4490 23 440384.78 17.2126
41
+ 30000 35.16154 453062 5142 4571 10 444632.9 17.262833
42
+ 40000 47.042729 453474 5122 4567 10 446823.69 17.3101
43
+ 50000 59.240694 453322 5232 4601 17 448167.9 17.33624
44
+ 60000 71.049398 453080 5173 4577 21 449021.69 17.35235
45
+ 70000 83.285802 453770 5122 4559 19 449594.17 17.362643
46
+ 80000 95.757999 453519 5156 4563 19 450096 17.369438
47
+ 90000 107.73681 453863 5136 4567 11 450483.02 17.377933
48
+ 100000 120.49098 453550 5129 4508 14 450820.71 17.39473
49
+ 110000 132.33428 453074 5072 4446 26 451085.4 17.397727
50
+ 120000 144.8063 453512 5138 4556 21 451282.68 17.3977
51
+ 130000 157.1155 453068 5090 4513 20 451439.71 17.406492
52
+ 140000 168.8955 453436 5140 4538 14 451562.23 17.4067
53
+ 150000 181.00203 452557 5173 4593 19 451682.05 17.403187
54
+ 160000 192.87729 453014 5140 4540 28 451770.03 17.406075
55
+ 170000 205.24296 453162 5156 4580 18 451844.57 17.405206
56
+ 180000 217.49346 453504 5172 4600 17 451929.39 17.404111
57
+ 190000 229.65244 453142 5085 4545 19 451985.42 17.405111
58
+ 200000 241.93273 453290 5053 4462 17 452047.58 17.40617
59
+ Loop time of 241.933 on 128 procs for 200000 steps with 453290 particles
60
+
61
+ MPI task timing breakdown:
62
+ Section | min time | avg time | max time |%varavg| %total
63
+ ---------------------------------------------------------------
64
+ Move | 0.023663 | 10.999 | 70.686 | 429.7 | 4.55
65
+ Coll | 0.30342 | 8.4647 | 69.227 | 388.6 | 3.50
66
+ Sort | 0.10081 | 1.8331 | 12.383 | 178.5 | 0.76
67
+ Comm | 58.305 | 87.833 | 98.403 | 92.3 | 36.30
68
+ Modify | 0.018867 | 0.11126 | 2.2845 | 97.3 | 0.05
69
+ Output | 0.0039503 | 0.0082947 | 0.0095359 | 0.9 | 0.00
70
+ Other | | 132.7 | | | 54.84
71
+
72
+ Particle moves = 90409515815 (90.4B)
73
+ Cells touched = 94403938497 (94.4B)
74
+ Particle comms = 192751496 (193M)
75
+ Boundary collides = 0 (0K)
76
+ Boundary exits = 18360933 (18.4M)
77
+ SurfColl checks = 234010177 (234M)
78
+ SurfColl occurs = 3481234 (3.48M)
79
+ Surf reactions = 0 (0K)
80
+ Collide attempts = 1223654149 (1.22B)
81
+ Collide occurs = 962968978 (963M)
82
+ Gas reactions = 0 (0K)
83
+ Particles stuck = 0
84
+ Axisymm bad moves = 0
85
+
86
+ Particle-moves/CPUsec/proc: 2.9195e+06
87
+ Particle-moves/step: 452048
88
+ Cell-touches/particle/step: 1.04418
89
+ Particle comm iterations/step: 1
90
+ Particle fraction communicated: 0.00213198
91
+ Particle fraction colliding with boundary: 0
92
+ Particle fraction exiting boundary: 0.000203086
93
+ Surface-checks/particle/step: 0.00258834
94
+ Surface-collisions/particle/step: 3.85052e-05
95
+ Surface-reactions/particle/step: 0
96
+ Collision-attempts/particle/step: 0.0135346
97
+ Collisions/particle/step: 0.0106512
98
+ Gas-reactions/particle/step: 0
99
+
100
+ Particles: 3541.33 ave 24614 max 0 min
101
+ Histogram: 84 16 6 10 2 5 1 2 0 2
102
+ Cells: 466.195 ave 467 max 465 min
103
+ Histogram: 2 0 0 0 0 99 0 0 0 27
104
+ GhostCell: 12074.5 ave 22142 max 674 min
105
+ Histogram: 18 12 12 10 17 3 6 4 16 30
106
+ EmptyCell: 0 ave 0 max 0 min
107
+ Histogram: 128 0 0 0 0 0 0 0 0 0
108
+ Surfs: 200 ave 200 max 200 min
109
+ Histogram: 128 0 0 0 0 0 0 0 0 0
110
+ GhostSurf: 0 ave 0 max 0 min
111
+ Histogram: 128 0 0 0 0 0 0 0 0 0
112
+ Memory usage per proc in Mbytes:
113
+ particles (ave,min,max) = 1.6875 0 3.375
114
+ grid (ave,min,max) = 3.07385 1.51379 5.26379
115
+ surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
116
+ total (ave,min,max) = 4.93871 3.37849 7.129
117
+ Step CPU Np Natt Ncoll Nscoll Npave Nscollave
118
+ 200000 0 453290 5053 4462 0 0 0
119
+ 210000 22.091675 453014 5139 4547 15 453240.95 17.5303
120
+ 220000 45.179563 452798 5012 4427 22 453205.39 17.45455
121
+ 230000 68.076209 453119 5097 4533 17 453153.41 17.434033
122
+ 240000 91.005765 452776 5111 4551 13 453155.88 17.429225
123
+ 250000 114.27375 453534 5150 4550 18 453116.25 17.44458
124
+ 260000 135.94916 453549 5131 4494 20 453122.56 17.437817
125
+ 270000 159.06254 453180 5223 4593 22 453134.85 17.4271
126
+ 280000 181.59018 452996 5183 4620 14 453174.73 17.430312
127
+ 290000 203.72368 453075 5147 4566 11 453197.22 17.422056
128
+ 300000 226.67434 453049 5122 4555 19 453200.33 17.42749
129
+ Loop time of 226.675 on 128 procs for 100000 steps with 453049 particles
130
+
131
+ MPI task timing breakdown:
132
+ Section | min time | avg time | max time |%varavg| %total
133
+ ---------------------------------------------------------------
134
+ Move | 0.01265 | 5.5415 | 35.64 | 304.2 | 2.44
135
+ Coll | 0.1511 | 4.2632 | 35.371 | 277.8 | 1.88
136
+ Sort | 0.055319 | 0.92916 | 6.2747 | 126.2 | 0.41
137
+ Comm | 37.096 | 51.855 | 57.573 | 61.2 | 22.88
138
+ Modify | 2.1195 | 15.187 | 94.527 | 471.5 | 6.70
139
+ Output | 0.038042 | 0.0395 | 0.043158 | 0.6 | 0.02
140
+ Other | | 148.9 | | | 65.67
141
+
142
+ Particle moves = 45320033375 (45.3B)
143
+ Cells touched = 47321448451 (47.3B)
144
+ Particle comms = 96560746 (96.6M)
145
+ Boundary collides = 0 (0K)
146
+ Boundary exits = 9203558 (9.2M)
147
+ SurfColl checks = 117134953 (117M)
148
+ SurfColl occurs = 1742749 (1.74M)
149
+ Surf reactions = 0 (0K)
150
+ Collide attempts = 616235018 (616M)
151
+ Collide occurs = 484935773 (485M)
152
+ Gas reactions = 0 (0K)
153
+ Particles stuck = 0
154
+ Axisymm bad moves = 0
155
+
156
+ Particle-moves/CPUsec/proc: 1.56199e+06
157
+ Particle-moves/step: 453200
158
+ Cell-touches/particle/step: 1.04416
159
+ Particle comm iterations/step: 1
160
+ Particle fraction communicated: 0.00213064
161
+ Particle fraction colliding with boundary: 0
162
+ Particle fraction exiting boundary: 0.000203079
163
+ Surface-checks/particle/step: 0.00258462
164
+ Surface-collisions/particle/step: 3.84543e-05
165
+ Surface-reactions/particle/step: 0
166
+ Collision-attempts/particle/step: 0.0135974
167
+ Collisions/particle/step: 0.0107003
168
+ Gas-reactions/particle/step: 0
169
+
170
+ Particles: 3539.45 ave 24450 max 0 min
171
+ Histogram: 84 16 5 11 2 4 2 2 0 2
172
+ Cells: 466.195 ave 467 max 465 min
173
+ Histogram: 2 0 0 0 0 99 0 0 0 27
174
+ GhostCell: 12074.5 ave 22142 max 674 min
175
+ Histogram: 18 12 12 10 17 3 6 4 16 30
176
+ EmptyCell: 0 ave 0 max 0 min
177
+ Histogram: 128 0 0 0 0 0 0 0 0 0
178
+ Surfs: 200 ave 200 max 200 min
179
+ Histogram: 128 0 0 0 0 0 0 0 0 0
180
+ GhostSurf: 0 ave 0 max 0 min
181
+ Histogram: 128 0 0 0 0 0 0 0 0 0
182
+ Writing grid file ...
183
+ grid cells = 59673
184
+ CPU time = 0.00866756 secs
185
+ Writing surface file ...
186
+ surf elements = 200
187
+ CPU time = 0.00162001 secs
188
+ Processing 4 grid chunk(s).
189
+ Completed grid chunk number: 3
190
+ Completed grid chunk number: 2
191
+ Completed grid chunk number: 1
192
+ Completed grid chunk number: 0
193
+
194
+ Done in 0:00:09 (wall clock time)
195
+
196
+ Processing 4 grid chunk(s).
197
+ Completed grid chunk number: 3
198
+ Completed grid chunk number: 2
199
+ Completed grid chunk number: 1
200
+ Completed grid chunk number: 0
201
+
202
+ Done in 0:00:09 (wall clock time)
203
+
204
+ Processing SPARTA surface information.
205
+ Processing dump result file: ['./output/surf.300000.dat']
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/surf/Surf_300000.vtu ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="400" NumberOfCells="200" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="1" RangeMax="200" offset="0" />
9
+ <DataArray type="Float64" Name="v1x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="432" />
10
+ <DataArray type="Float64" Name="v1y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="1468" />
11
+ <DataArray type="Float64" Name="v2x" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="2476" />
12
+ <DataArray type="Float64" Name="v2y" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="3508" />
13
+ <DataArray type="Float64" Name="f_2[1]" format="appended" RangeMin="0.00153" RangeMax="0.29173" offset="4512" />
14
+ <DataArray type="Float64" Name="f_2[2]" format="appended" RangeMin="0.045272" RangeMax="9.8571" offset="6444" />
15
+ <DataArray type="Float64" Name="f_2[3]" format="appended" RangeMin="-0.13936" RangeMax="9.8461" offset="8480" />
16
+ <DataArray type="Float64" Name="f_2[4]" format="appended" RangeMin="-4.1078" RangeMax="4.0787" offset="10576" />
17
+ <DataArray type="Float64" Name="f_2[5]" format="appended" RangeMin="-0.00054496" RangeMax="0.89841" offset="12648" />
18
+ <DataArray type="Float64" Name="f_2[6]" format="appended" RangeMin="-0.81789" RangeMax="0.82647" offset="14724" />
19
+ <DataArray type="Float64" Name="f_2[7]" format="appended" RangeMin="-0.0010654" RangeMax="0.15477" offset="16840" />
20
+ <DataArray type="Float64" Name="f_2[8]" format="appended" RangeMin="-0.052284" RangeMax="0.051665" offset="18976" />
21
+ <DataArray type="Float64" Name="f_2[9]" format="appended" RangeMin="12.591" RangeMax="3324.6" offset="21120" />
22
+ <DataArray type="Float64" Name="f_2[10]" format="appended" RangeMin="0" RangeMax="0" offset="22464" />
23
+ <DataArray type="Float64" Name="f_2[11]" format="appended" RangeMin="0" RangeMax="0" offset="22516" />
24
+ </CellData>
25
+ <Points>
26
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.49999998503" RangeMax="0.50000001255" offset="22568" />
27
+ </Points>
28
+ <Cells>
29
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="23896" />
30
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="24800" />
31
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="25292" />
32
+ </Cells>
33
+ </Piece>
34
+ </UnstructuredGrid>
35
+ <AppendedData encoding="base64">
36
+ _AQAAAACAAABABgAAMAEAAA==eJwtyzeOVVEQRdETEhIQEBC0EEIIIQSNt32Bxnvv4eJhFjWUN5QayhsCQ0Dor0qWjrYq+X9/d7K5sWEP93If9/MAt3iQh3iYR3iUx3icJ3iS2zzF0zzDszzH87zAi7zEy7zCq9zh2FjMNZu5bjM3bGbXZm7azC2buW0zd2zmrs3cs5n7NvPAZh7azCObeWwzTzYOFpt5qrPYzDOdxWae6yw280JnsZmXOovNvNJZbOa1zmIzb3QWm3mrs9jMO53FZt7rLDbzQWexmY86i8180lls5rPOYjNz4xYHJ4sLmyvzxT8HJ4sLmyvz1T8HJ4sLmyvzzT8HJ4sLmyvz3T8HJ4sLmyvzwz8HJ4sLmyvz0z8HJ4sLmyvzyz8HJ4sLmyvz2z8HJ4sLmyvzZ/wDaXOy2Q==AQAAAACAAABABgAA9QIAAA==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AQAAAACAAABABgAA4AIAAA==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AQAAAACAAABABgAA8wIAAA==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AQAAAACAAABABgAA3wIAAA==eJw9k1tI02EYxmdIkZKVWmoilXRA6IRQaRe+WheVdREEdWU6sotZqBUaNYzIqJnEjDIFDUd2sDIxKCJPryNsxKg8zbTpJohakoQRspxGI55n/7uP//d973P4faYxy2tfdIXGRFzLDYmyaV5HZlpxTIM2DZQ5Z8Ka1WhfuLJk8SuNnJ3ekDj/RtNv/Pm16Eer+p5VLtV+1b05492Jbru2us73+t+/08mdxWVTL7q0MTV9x36rQ83t/rH2vA/quN9rnxOnFt2JDT0W8VFNx9ePb3Z90vCT4RkRmd06m7VyvmBjj768uTvZOt+jjV1PDLGfezVxYbZotLZPD61tsXWc6lfjmutWS5JLl7+Ny++cdGn8stGtFbYBnQuoqj/6RZ/mXW3wGwbVlZZgjWsY1MsFfXULB4Z0ZCr1e8nYkG6pG79YeOGrPrh0Oud5qFszSpy128rdai7dfvhx2LAeuVWVH1k6rD5LdeTB38NaVJycknliRFMCquydI5rR1pTdHO/RiujbxlUFHs1Ocq5wtHh04tuMueavR6dzC++27fHqRGDKQL5Xq1KzVkfVeDXk4a6z59Sr9yo3PbK5vZqwrrre8TOw3ld+ZtLvVcP/bzS4Dv7Hfp7nfbw/OA/zqYf6qJf66Yf+6Jf+mQfzYV7Mj3kyX+bN/NkH+2Ff7I99sl/2zf7JA/kgL+SHPJEv8kb+yCP5JK/klzyTb/JO/k14DwZ8WAv+C/YLzgvuE9wvmCeYL9Aj0CfQK9Av8CPwJ/Ar8C/IQ5CPIC9BfoI8BfkK8hbkL+hD0I+gL0F/gj4F/Qr6FvQv4EHAh4AXAT8CngR8CXgT8CfgUcCngFcBvwKeBXwLeBfwL3gPgvcRXAf/Yz/P8z7eH5yH+dRDfdRL/fRDf/RL/8yD+TAv5sc8mS/zZv7sg/2wL/bHPtkv+2b/5IF8kBfyQ57IF3kjf+SRfJJX8kueyTd5J/98D3wf/wBa4lc0AQAAAACAAABABgAAlwUAAA==eJw9lHk8FGgYxym2bJsotYqE7kMZJbbUT/qETJEcYcbMuMIYcjSuzrEoRetIU1alpjKOYXJFO2FkIseYGbQp20E6aLWlT1Jaa9rhz/d9nvd9n+f5/d6v6DdClJEBFetCOMoCVW9ov00MPm1CwlDjop8shimYWRC9eKiRiv6S8w8Pk0kg8s2zRzrJeBJ26syLD1R0kqaSlrqRccZSUETlk0AQP423UiHjQPvlb7aa7qBOE893fETCQYoPm/vEA2zX7T16ROrk/at6n/qTzWnIMZubZ1xBm8yfiFfND6l9dcILi65KF9aLffG9zNm+mON1t321X6DinUDFuSCUZQgdP/QzIBxzLfFZHArP3LRzTY/DsPzk7VmW9AjsDGiu0trHRMqKv2dWG8fgTdZ9s8fd0SjIVKvpaDuE9c/ZX2KcWHARcq/ZW/6K5M/2LbGEeOz8aHKq71wiph4xdEgvSkLSNlqfxPA0ujyoS8r6kvGgx0kp2T8V4fKxLEqHl4mL8aq8DKyeczTvslkmJJWh+ktmnEcWtVU57pcsXObXT226kQ1fN5HOBZtL6E1pWXzMOAcfnw0W/hV5Ba+vDacUb+GAt272o/C111HE4s1eo54L6spmjYbbXHS+ZbnSGvORcDNBf9rSQqjwalM7eUXg5vkFHUnjY8/8sa29dTcRmdTPY/FKkCqXeVEZqj+1pCuZlgObmH2lFrcQLPq35NCHSlDLTcY7r4LvD3JFBDCRp38UQDJrcbyNTg30fQY9rLbWghJQ1G5LFKK0vNo2oFkI1Q2aGy3u1IEwINpjX3YX+4dfeF15UA9SxYOf1YJFeKaR3/GWdQ86rGjPGloDTK0HuPS4RuxYx3ELCbwPhtpIjn9pE5Yp0+ldHs3oj26x9BttxtNv7ynlJq0wt6Nc9LEUg/zyoPsuhhjy6NfkNhzVNrB4ZC6BLvXQ/p3HJehpKX6pJJQg0aNd0KslRQPRbFwiKQpeyQcpRaKLIC3mhRR0wcEMbRUZKj5rKfXOl2E0771st7cM2sucVDnpMrBIUUPOJ2T43k6BDMKe0Jf7ImT4wN8TlBUlg+N3g8swGLXix49JMrhz9MadKcN7TcLS9NdSnOc0vAv+IkXCgGOlXoIUOrvu/qNJkKJrS4wb11SKzXWBwtPVEuTHOe68OF73//pLYObAbGwNbYNK0w3yc08xuqiRDnrzxGCo9DC/xbUq/lmLwhfjc1IjWuQwmtD5ir76E/s+SGe79DOSG7F+ZP/vOu0NGOpTfWiTew84sGqvF0OEFO+q652p9dAd6Nm4oPYuOvwIN0cq68A1bd1sLxVC/vs0XtTC1Ed6MNKkFuymx5r2M6pxTkXuqDt46pDCDpn9BwatIi5ae9xGVYPsxFruLcjdHDtaAU76JuXd8eVwTzR/IAoug65VZtYWSQkMv31iPsu+Cb+U2JPWUXwMjOm+bJ7Bh0ifHx6QxsNVtuOaW2X5iJ/pUHzWjwt1o5KL73JvgHI1NohWcA166+VO5sB57/KcJP4VON+raasMzUFw09wnfYaXoIV73eXx2UioyCaGuVzANtt5xiwSG93EBRymcyZeG1Mpx4+cVdSRptA7VaFnMghW0WVh9afQsuPw8v13TmLk0XrilI54BScSoGxazuCti4PsgJwwLESG6cx8ZnQcducDv+5zjYWP91BYMDd6kiupQdtF5sciYLtnVDviz3DYmBtFS/eFwumcwRlmWBBi3iwjTC9kQMemUJSrFIBxSGkUD/jjZILcuL6wpM9ZPrzZV/Gut6JuL8xNtutX2eCFwIUuuzWY1Ele+qanlfJzPSFScHyC0xP7g1vI4d0rPSfXE/yeWBfyHo47jQKDKepX7FopEMTkbw9JJMFNVzxKV6dNcn5Mba1rB81jksfWS5lTsqaT8B9NGvxyAQAAAACAAABABgAA5QUAAA==eJw9lHk0FHoUxzFIIcPYl8bMpEURFfJS98rS5rSMElnLKyklqR5JkTwRlVSqlzZiVktJaCIpkRETIlNSkSRLTITozYx33v3vnt8593e/n+/33OPr7I9ZH+DChF9b0fD+PNBfLFq/P48FtJi3Tpdvc8BG57iQNDMb0niV8r/0mRC2smL34G8WNFw/H7pdjQsWAQXzRGUsGKqtj7J/lQU/y0Ya8tYwId3jzfJ2s6z/5jKhMvw3ebYLA4ZDpw3cS2ZDyn7K2TZnFtCVTVJcl7KhZP3mW9Hu2TA0x+vskx8MMP+UqXi1lgkLK71Pzn3Bha1RBY2cRXfBQnRKEKqcB1F91sHXNAtgRpLDuHnQfdDtcuo5plUI5NjujYUziuAP2pqImAU8oDfKbxyWfQyOLvEzj+iVgWtdj0mS4An0KmUpLBitANaJjavToipAdkjAnHejCuZME8Xbra6DD6mj4a7JryDvKeFFplc99Dyk/ny/5jVcqh2wK1z6Br6Qws8frGkB1+rXo9RbQkDStvL6eW3Q6EnwNHH/CKV+NkGeFz4BZYoJP3+8HRZutjBlkr5Aawe1hHTvKziZJprJ2/aA+7md86++7AWjJQGOgcH9EHbkznwHwwFoTYmL3Vo/CIJkrwmH0R/QGNY1y1LpJ1DIoiC3yBEYsfycbdI+BtXE58WFSePAP76qNNJIBldt+KUbukUWHxYmKfZfksMLkjE8Ah4dyN2wR18BbfMrD5fcUMSXehtbDI4q4XWfudXEldPQwbD7o/VVZQzuj63aVKaK2zbRZ9+Mn45u083upgUTcTxOJGyyV8cRta4HOTEamDnN2eSQHAmP7+YdTGkmTcrv0MQWzqjXXidtPKPYr72qThu99z6buDumg9Jxubo4Vt1bVS6nj3N7VEss9AzQqKoDMnwNUUMTKt7+MEQphxwjHDzjenBm0ww0kCxYR0YXyYdaxnjEmr18y0Nj1HkgkGmlUpBeOCO2O4SChTmEzkSGuBe7OUuOitY1S9cJQqj4fK1NvP1NKnIDW0MSXlJRGov5NMy5sOOU/zIaSteKpuFEgxhwHg1v1LBqGwtoqKZ8PzM8i4Y7JfU3bZLjURpK+XvT0Peyi1ZiAg33pcvyFDTE/RQx0VEqOp4O6hzrok7yvUZFDrfZ9/B6KnrW8z5pjlNQNYRzWlhJwYz3JdOvhVJQYbG6td0yCjJJdY7NucZ4OMRAtc3MGOdIFigiT3LQIWPHtluvF/cZoTQlzwxxQ1LqPg2CIU76boASnFdM9bGGLy4XPbTyKV6tIqeLYtVn2u9qT+rmayFRArBJE5v7RWs8KkhYZit+IZCQKLaV0KmOL8pXcAN91PFtU3SosyYRz938afnZXA3rW9uUU5gquGfeUOo7kgrqznJVSNeYil7G9t/9XZQmdTxSRLmrSmLLFPDaU+PcA18IKLEh2UtuUk+4LPLF9q/gyqCH1MAJIExNIPv3joE0LxtGwPw3ZXzo0DAkCnfJBEf/AGnbNggxCyQJGADLK6a6Fxv6wT+V0arf3Au1lsYRj8a+ga1yRMuHnC6wcu5m7D7RCRrD7qN1Ch0w5K3+K9ikHRqn7qIGhX2A8j9ZfpvobSBD/2dJ0Xsh1B3LOKXCbgHdSIXAittNsESLaVFAbIA2oSgA6A3wWH7fuxpXARSvo5ldfFALYU79pRe/8SF3onZbCa8S+Kk6fuS0Cjjh5lf51a38/ztDVLweoZb6GOJKZ+1pcOCBlX1DpAz9ASSbJmzxEBZC30RYztYr+VCunkH/tisf7EZEzZdk74E7w0qMLA9Ov1vO5l/IBvV9C1kqn7Lhzk3hWv10LvSRlQWU/Rww8hjZYeHMAWLVOf9uPRYYq2bxa2xYQNU7ELTMgQHnmmJWf//OhFXaFtGef7GB0lVvOurAhukt7LNxJWzYa+22/fpFDvQ0pfXafedAkEAun7uTC/Q5yr6+3SyoDcBHelY54L375LFMnxzgdQdVwiIGpL3JrptSnQvFg09DC6IY8C+yFd3KAQAAAACAAABABgAAEQYAAA==eJw9lHk8FGgYx4ukYUqK1jE0h0qfyqytRYn30S6JKeeynXKkWkJtjlYoUarZ0q1SaTEHM5jJfT2UHFE2Z+SIDk102HzILmtn7H72/et93vfzPO/7+33f9+HG5Sc7HhTjRMYOwUSABG01jlI9kjOwlPml1yFMhG+1Xu1ltYtxHjvBfnOJAPNNw+47hmSg2TuGXreNCGO6ZU8WNgrRzciLklbFw1lrjb157/k4HWal47U+0g3H+XiVOe5AX8LDsQiGgeF9Aao+3fb0jQUfbx1bev8kn48zXG9aFPUKsaawv1/QlYbK1oQ73zAdn7hKk+Oa+HjjcmwQe78I2YtO1soGhXjNM6vgsXvOf+dmIS+6xz3tfg4q39tw4cNADvbtDvax3yLFgaB2R7dZuVgoa4xOS8jFYs7mWPO0PKQXPlo4x7IIr5fO9C8/UYAqztyV132LsHHTR32vyHLUzGgZOu5RgRdaxbcv9SCutd14aFyjEk/Ib8Ftq0Trtx2iP3dUosew3ZsLpAInR0NfJGtWIvdu8j5PRiV+c2jRaO4DxLpLaQFLe0sxLYGaGcEqwYRNhYkbQwrwuEK2pxSHTmepE7kPZUL7eEl8IioPWkQL1lwk551Xp53pFxP/gKgLv18tIctVunc16Twkv4SEtwWVNBAxe0HnIZNm4qMd7Gc43k7sji7zL9PpIQN/CYebNvcT69/VqFu7X5Ne8/LRhosycuf1EXnmezIljfwjx3mYjEy2RMiWjpBE0/BVjMVj5Dfb/M+TLePkia5Lp/7RSaKIImRThHy7q3gTVQlu/nAnU/xMGWxi+2uSLGdDp1z9gYeqcHvX8vr5NRTI2O3uuoxOBY+orHyfqXnwoHnFHl2f+SCzN5lilGlCih6726h6AUj6ZFekHC2YY6WoqA0jgfIMs68glVU0cWqNDtQmlVxNdNKFPO2/6j/U6UGo0o05+oY0OKAo3E+DTGvP7ZIYQ1DP4x2pES6Gad9d6DD2yvtuWy4dNM3Wl7maMeA78f6eg48YQKq78uJoTPBK4mhzf2JCjxLlzOKXTJDg0O31VBY4ZV/ek+DLgiqJSVDqXRZwHd7NWiNhgX+C784uHgvKXmoZ1MWz4PZHfrVjOAvoTcFeqltY8CSjsdUjkAXBn+Lr3PuY8GJVYsoXCRM45qdtdsczwTemw+qIDhOol4SxLkIG9KnLJ6YMCKSMp+xtpsNqxXCjQ25tWPmdzsXADIz4JT3QECxnbo6bq2EA3nI7Uyg0EFQ7mp+eqQ8n2Bye2kldiFA3Mo6m6sA0lcFFIDr7fN+MbG2Qr3KLArSgYadjrarVQpg8NfK8vVITZAXZygOc+eCvMMhjHmzzs+x1mkuFdSyHyBPZFFglvSVXpvovtxgV+GiheOjK0OYxxC7hzwSKvpyw4wxoX/CHTaP/BJn2xe5PMs1JY5ScdztsdG3qM7HHKAOLvcPks/upLqr5BzKU6uZpXS8jLQUNMmnSa8Kv9/H5fLCf7F9nqUtb0kui7j3+VUbpIBy91FD3b5vJv/+zgdhdHp3tlVRFam0oqw9MFROVn0wjkkbFpFXiILu+6yJpDRXwjAYTUeSxdMKV8HFr+giHbSrFZ3brOx5z85HmFem/6VgxKnA7vCvFYi3PK1GeFXhu9qdF9s4VmMRmV1ivq8QtMaMsW78KvBP2JUBqV4lxn/a9TMirwNjElbuVCsrR+Oah+PCiClzvn/LN31HlKKdr+iarDKmPQ/X2C0tRvYlr29xRhIIXn2ITWgrRSq09NcQq//8+E6RdBe3lubgicHYhfbsUG7zHDB74ZmPZz8bf/cCRoM7TME73FTG+91XBuaZZuOJrv9DMAREaG9uuGFPKRC6782X8YQE+r6qbnGcrxJiu6HG/hwJ8l+35YwgRYLRL7N8bzgvwUaq+t4smH+ecNzv341k+hjuoDk7ReJi4qr59zxc+bqRJjx+WCPGsxS2/zHp53+T6GkXGZSD/SM3ydRczsS2z9u0xIxE2DKt97/RIhMEaG6Bcsa+qkr7vdRZGdhVsW2aSjWuTx1tpdAGWqizQItU5uDpgOf19jAD/AQlcIeE=AQAAAACAAABABgAAAAYAAA==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AQAAAACAAABABgAAMAYAAA==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AQAAAACAAABABgAA3AMAAA==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AQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAABABgAAFQAAAA==eJxjYBgFo2AUjIJRMApIBwAGQAABAQAAAACAAADAEgAA0gMAAA==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AQAAAACAAABABgAAXwEAAA==eJwtxVFEHAAAANBKkpzkJEmSJMlJkiRJkiRJkiQnSXKSJEmSJEmSJEmSZGYmmUmSJEmSJEkyMzOTzCRJkmT20Xs/LybqXazjHO8EB5zoJAed7BSnOs3pznCms5ztHOc6zyHnu8CFLnKxS1zqMpe7wpWucrVrXOs617vBjW5ys1vc6rDb3O4Od7rLEXe7x73uc78HPOghD3vEox7zuCc86SlPe8aznvO8F7zoJS97xate8wd/9Cd/9ro3/MVfvektb3vHu97zvg986CMf+8SnPvO5L3zpK1/7m7/7h3/6l3/7xrf+47++870f/OgnP/vFr37zP0dFvxfjWMc53gkOONFJDjrZKU51mtOd4UxnOds5znWeQ853gQtd5GKXuNRlLneFK13late41nWud4Mb3eRmt7jVYbe53R3udJcj7naPe93nfg940EMe9ohHPeZxT3jSU572jGc95/9sSVRSAQAAAACAAADIAAAADAAAAA==eJxjZh4eAADsVAJZ
37
+ </AppendedData>
38
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0796_Kn0p36Ma6p5/surf/geom.surf ADDED
@@ -0,0 +1,610 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Surface element file written by SPARTA
2
+
3
+ 400 points
4
+ 200 lines
5
+
6
+ Points
7
+
8
+ 1 0.5 0
9
+ 2 0.499753280182866 -0.0157053795390643
10
+ 3 0.499753280182866 -0.0157053795390643
11
+ 4 0.499013364214136 -0.0313952597646568
12
+ 5 0.499013364214136 -0.0313952597646568
13
+ 6 0.49778098230154 -0.0470541566592573
14
+ 7 0.49778098230154 -0.0470541566592573
15
+ 8 0.496057350657239 -0.0626666167821523
16
+ 9 0.496057350657239 -0.0626666167821523
17
+ 10 0.493844170297569 -0.0782172325201156
18
+ 11 0.493844170297569 -0.0782172325201156
19
+ 12 0.491143625364344 -0.0936906572928624
20
+ 13 0.491143625364344 -0.0936906572928624
21
+ 14 0.487958380969374 -0.109071620698271
22
+ 15 0.487958380969374 -0.109071620698271
23
+ 16 0.484291580564315 -0.124344943582427
24
+ 17 0.484291580564315 -0.124344943582427
25
+ 18 0.480146842838471 -0.139495553019615
26
+ 19 0.480146842838471 -0.139495553019615
27
+ 20 0.475528258147577 -0.154508497187474
28
+ 21 0.475528258147577 -0.154508497187474
29
+ 22 0.470440384477113 -0.169368960122646
30
+ 23 0.470440384477113 -0.169368960122646
31
+ 24 0.464888242944126 -0.184062276342339
32
+ 25 0.464888242944126 -0.184062276342339
33
+ 26 0.458877312841991 -0.19857394531739
34
+ 27 0.458877312841991 -0.19857394531739
35
+ 28 0.45241352623301 -0.212889645782536
36
+ 29 0.45241352623301 -0.212889645782536
37
+ 30 0.445503262094184 -0.226995249869774
38
+ 31 0.445503262094184 -0.226995249869774
39
+ 32 0.438153340021932 -0.240876837050858
40
+ 33 0.438153340021932 -0.240876837050858
41
+ 34 0.430371013501972 -0.254520707875186
42
+ 35 0.430371013501972 -0.254520707875186
43
+ 36 0.422163962751007 -0.267913397489498
44
+ 37 0.422163962751007 -0.267913397489498
45
+ 38 0.413540287137281 -0.281041688926065
46
+ 39 0.413540287137281 -0.281041688926065
47
+ 40 0.404508497187474 -0.293892626146237
48
+ 41 0.404508497187474 -0.293892626146237
49
+ 42 0.395077506187845 -0.306453526826488
50
+ 43 0.395077506187845 -0.306453526826488
51
+ 44 0.385256621387895 -0.318711994874345
52
+ 45 0.385256621387895 -0.318711994874345
53
+ 46 0.37505553481523 -0.330655932661826
54
+ 47 0.37505553481523 -0.330655932661826
55
+ 48 0.364484313710706 -0.342273552964344
56
+ 49 0.364484313710706 -0.342273552964344
57
+ 50 0.353553390593274 -0.353553390593274
58
+ 51 0.353553390593274 -0.353553390593274
59
+ 52 0.342273552964344 -0.364484313710706
60
+ 53 0.342273552964344 -0.364484313710706
61
+ 54 0.330655932661826 -0.37505553481523
62
+ 55 0.330655932661826 -0.37505553481523
63
+ 56 0.318711994874345 -0.385256621387895
64
+ 57 0.318711994874345 -0.385256621387895
65
+ 58 0.306453526826488 -0.395077506187845
66
+ 59 0.306453526826488 -0.395077506187845
67
+ 60 0.293892626146236 -0.404508497187474
68
+ 61 0.293892626146236 -0.404508497187474
69
+ 62 0.281041688926065 -0.413540287137281
70
+ 63 0.281041688926065 -0.413540287137281
71
+ 64 0.267913397489498 -0.422163962751008
72
+ 65 0.267913397489498 -0.422163962751008
73
+ 66 0.254520707875185 -0.430371013501972
74
+ 67 0.254520707875185 -0.430371013501972
75
+ 68 0.240876837050857 -0.438153340021932
76
+ 69 0.240876837050857 -0.438153340021932
77
+ 70 0.226995249869773 -0.445503262094184
78
+ 71 0.226995249869773 -0.445503262094184
79
+ 72 0.212889645782536 -0.45241352623301
80
+ 73 0.212889645782536 -0.45241352623301
81
+ 74 0.19857394531739 -0.458877312841991
82
+ 75 0.19857394531739 -0.458877312841991
83
+ 76 0.184062276342339 -0.464888242944126
84
+ 77 0.184062276342339 -0.464888242944126
85
+ 78 0.169368960122645 -0.470440384477113
86
+ 79 0.169368960122645 -0.470440384477113
87
+ 80 0.154508497187474 -0.475528258147577
88
+ 81 0.154508497187474 -0.475528258147577
89
+ 82 0.139495553019614 -0.480146842838472
90
+ 83 0.139495553019614 -0.480146842838472
91
+ 84 0.124344943582427 -0.484291580564316
92
+ 85 0.124344943582427 -0.484291580564316
93
+ 86 0.109071620698271 -0.487958380969374
94
+ 87 0.109071620698271 -0.487958380969374
95
+ 88 0.0936906572928621 -0.491143625364344
96
+ 89 0.0936906572928621 -0.491143625364344
97
+ 90 0.0782172325201152 -0.493844170297569
98
+ 91 0.0782172325201152 -0.493844170297569
99
+ 92 0.062666616782152 -0.496057350657239
100
+ 93 0.062666616782152 -0.496057350657239
101
+ 94 0.047054156659257 -0.49778098230154
102
+ 95 0.047054156659257 -0.49778098230154
103
+ 96 0.0313952597646565 -0.499013364214136
104
+ 97 0.0313952597646565 -0.499013364214136
105
+ 98 0.015705379539064 -0.499753280182866
106
+ 99 0.015705379539064 -0.499753280182866
107
+ 100 0 -0.5
108
+ 101 0 -0.5
109
+ 102 -0.0157053795390643 -0.499753280182866
110
+ 103 -0.0157053795390643 -0.499753280182866
111
+ 104 -0.0313952597646568 -0.499013364214136
112
+ 105 -0.0313952597646568 -0.499013364214136
113
+ 106 -0.0470541566592573 -0.49778098230154
114
+ 107 -0.0470541566592573 -0.49778098230154
115
+ 108 -0.0626666167821523 -0.496057350657239
116
+ 109 -0.0626666167821523 -0.496057350657239
117
+ 110 -0.0782172325201156 -0.493844170297569
118
+ 111 -0.0782172325201156 -0.493844170297569
119
+ 112 -0.0936906572928625 -0.491143625364344
120
+ 113 -0.0936906572928625 -0.491143625364344
121
+ 114 -0.109071620698271 -0.487958380969374
122
+ 115 -0.109071620698271 -0.487958380969374
123
+ 116 -0.124344943582428 -0.484291580564315
124
+ 117 -0.124344943582428 -0.484291580564315
125
+ 118 -0.139495553019615 -0.480146842838471
126
+ 119 -0.139495553019615 -0.480146842838471
127
+ 120 -0.154508497187474 -0.475528258147577
128
+ 121 -0.154508497187474 -0.475528258147577
129
+ 122 -0.169368960122646 -0.470440384477113
130
+ 123 -0.169368960122646 -0.470440384477113
131
+ 124 -0.184062276342339 -0.464888242944126
132
+ 125 -0.184062276342339 -0.464888242944126
133
+ 126 -0.19857394531739 -0.458877312841991
134
+ 127 -0.19857394531739 -0.458877312841991
135
+ 128 -0.212889645782536 -0.45241352623301
136
+ 129 -0.212889645782536 -0.45241352623301
137
+ 130 -0.226995249869774 -0.445503262094184
138
+ 131 -0.226995249869774 -0.445503262094184
139
+ 132 -0.240876837050858 -0.438153340021932
140
+ 133 -0.240876837050858 -0.438153340021932
141
+ 134 -0.254520707875186 -0.430371013501972
142
+ 135 -0.254520707875186 -0.430371013501972
143
+ 136 -0.267913397489499 -0.422163962751007
144
+ 137 -0.267913397489499 -0.422163962751007
145
+ 138 -0.281041688926066 -0.413540287137281
146
+ 139 -0.281041688926066 -0.413540287137281
147
+ 140 -0.293892626146237 -0.404508497187474
148
+ 141 -0.293892626146237 -0.404508497187474
149
+ 142 -0.306453526826488 -0.395077506187845
150
+ 143 -0.306453526826488 -0.395077506187845
151
+ 144 -0.318711994874345 -0.385256621387895
152
+ 145 -0.318711994874345 -0.385256621387895
153
+ 146 -0.330655932661826 -0.37505553481523
154
+ 147 -0.330655932661826 -0.37505553481523
155
+ 148 -0.342273552964344 -0.364484313710706
156
+ 149 -0.342273552964344 -0.364484313710706
157
+ 150 -0.353553390593274 -0.353553390593274
158
+ 151 -0.353553390593274 -0.353553390593274
159
+ 152 -0.364484313710706 -0.342273552964344
160
+ 153 -0.364484313710706 -0.342273552964344
161
+ 154 -0.37505553481523 -0.330655932661826
162
+ 155 -0.37505553481523 -0.330655932661826
163
+ 156 -0.385256621387895 -0.318711994874345
164
+ 157 -0.385256621387895 -0.318711994874345
165
+ 158 -0.395077506187845 -0.306453526826488
166
+ 159 -0.395077506187845 -0.306453526826488
167
+ 160 -0.404508497187474 -0.293892626146237
168
+ 161 -0.404508497187474 -0.293892626146237
169
+ 162 -0.413540287137281 -0.281041688926065
170
+ 163 -0.413540287137281 -0.281041688926065
171
+ 164 -0.422163962751008 -0.267913397489498
172
+ 165 -0.422163962751008 -0.267913397489498
173
+ 166 -0.430371013501972 -0.254520707875185
174
+ 167 -0.430371013501972 -0.254520707875185
175
+ 168 -0.438153340021932 -0.240876837050857
176
+ 169 -0.438153340021932 -0.240876837050857
177
+ 170 -0.445503262094184 -0.226995249869773
178
+ 171 -0.445503262094184 -0.226995249869773
179
+ 172 -0.45241352623301 -0.212889645782536
180
+ 173 -0.45241352623301 -0.212889645782536
181
+ 174 -0.458877312841991 -0.19857394531739
182
+ 175 -0.458877312841991 -0.19857394531739
183
+ 176 -0.464888242944126 -0.184062276342339
184
+ 177 -0.464888242944126 -0.184062276342339
185
+ 178 -0.470440384477113 -0.169368960122645
186
+ 179 -0.470440384477113 -0.169368960122645
187
+ 180 -0.475528258147577 -0.154508497187473
188
+ 181 -0.475528258147577 -0.154508497187473
189
+ 182 -0.480146842838472 -0.139495553019614
190
+ 183 -0.480146842838472 -0.139495553019614
191
+ 184 -0.484291580564316 -0.124344943582427
192
+ 185 -0.484291580564316 -0.124344943582427
193
+ 186 -0.487958380969374 -0.109071620698271
194
+ 187 -0.487958380969374 -0.109071620698271
195
+ 188 -0.491143625364344 -0.0936906572928622
196
+ 189 -0.491143625364344 -0.0936906572928622
197
+ 190 -0.493844170297569 -0.0782172325201151
198
+ 191 -0.493844170297569 -0.0782172325201151
199
+ 192 -0.496057350657239 -0.0626666167821519
200
+ 193 -0.496057350657239 -0.0626666167821519
201
+ 194 -0.49778098230154 -0.0470541566592571
202
+ 195 -0.49778098230154 -0.0470541566592571
203
+ 196 -0.499013364214136 -0.0313952597646564
204
+ 197 -0.499013364214136 -0.0313952597646564
205
+ 198 -0.499753280182866 -0.015705379539064
206
+ 199 -0.499753280182866 -0.015705379539064
207
+ 200 -0.5 0
208
+ 201 -0.5 0
209
+ 202 -0.499753280182866 0.0157053795390643
210
+ 203 -0.499753280182866 0.0157053795390643
211
+ 204 -0.499013364214136 0.0313952597646568
212
+ 205 -0.499013364214136 0.0313952597646568
213
+ 206 -0.49778098230154 0.0470541566592574
214
+ 207 -0.49778098230154 0.0470541566592574
215
+ 208 -0.496057350657239 0.0626666167821523
216
+ 209 -0.496057350657239 0.0626666167821523
217
+ 210 -0.493844170297569 0.0782172325201157
218
+ 211 -0.493844170297569 0.0782172325201157
219
+ 212 -0.491143625364344 0.0936906572928625
220
+ 213 -0.491143625364344 0.0936906572928625
221
+ 214 -0.487958380969374 0.109071620698271
222
+ 215 -0.487958380969374 0.109071620698271
223
+ 216 -0.484291580564315 0.124344943582428
224
+ 217 -0.484291580564315 0.124344943582428
225
+ 218 -0.480146842838471 0.139495553019615
226
+ 219 -0.480146842838471 0.139495553019615
227
+ 220 -0.475528258147577 0.154508497187474
228
+ 221 -0.475528258147577 0.154508497187474
229
+ 222 -0.470440384477113 0.169368960122646
230
+ 223 -0.470440384477113 0.169368960122646
231
+ 224 -0.464888242944126 0.184062276342339
232
+ 225 -0.464888242944126 0.184062276342339
233
+ 226 -0.458877312841991 0.198573945317391
234
+ 227 -0.458877312841991 0.198573945317391
235
+ 228 -0.45241352623301 0.212889645782536
236
+ 229 -0.45241352623301 0.212889645782536
237
+ 230 -0.445503262094184 0.226995249869774
238
+ 231 -0.445503262094184 0.226995249869774
239
+ 232 -0.438153340021932 0.240876837050858
240
+ 233 -0.438153340021932 0.240876837050858
241
+ 234 -0.430371013501972 0.254520707875186
242
+ 235 -0.430371013501972 0.254520707875186
243
+ 236 -0.422163962751007 0.267913397489498
244
+ 237 -0.422163962751007 0.267913397489498
245
+ 238 -0.413540287137281 0.281041688926065
246
+ 239 -0.413540287137281 0.281041688926065
247
+ 240 -0.404508497187474 0.293892626146237
248
+ 241 -0.404508497187474 0.293892626146237
249
+ 242 -0.395077506187845 0.306453526826488
250
+ 243 -0.395077506187845 0.306453526826488
251
+ 244 -0.385256621387895 0.318711994874345
252
+ 245 -0.385256621387895 0.318711994874345
253
+ 246 -0.37505553481523 0.330655932661826
254
+ 247 -0.37505553481523 0.330655932661826
255
+ 248 -0.364484313710706 0.342273552964344
256
+ 249 -0.364484313710706 0.342273552964344
257
+ 250 -0.353553390593274 0.353553390593274
258
+ 251 -0.353553390593274 0.353553390593274
259
+ 252 -0.342273552964344 0.364484313710706
260
+ 253 -0.342273552964344 0.364484313710706
261
+ 254 -0.330655932661826 0.37505553481523
262
+ 255 -0.330655932661826 0.37505553481523
263
+ 256 -0.318711994874345 0.385256621387895
264
+ 257 -0.318711994874345 0.385256621387895
265
+ 258 -0.306453526826488 0.395077506187845
266
+ 259 -0.306453526826488 0.395077506187845
267
+ 260 -0.293892626146237 0.404508497187474
268
+ 261 -0.293892626146237 0.404508497187474
269
+ 262 -0.281041688926065 0.413540287137281
270
+ 263 -0.281041688926065 0.413540287137281
271
+ 264 -0.267913397489498 0.422163962751008
272
+ 265 -0.267913397489498 0.422163962751008
273
+ 266 -0.254520707875185 0.430371013501972
274
+ 267 -0.254520707875185 0.430371013501972
275
+ 268 -0.240876837050857 0.438153340021932
276
+ 269 -0.240876837050857 0.438153340021932
277
+ 270 -0.226995249869773 0.445503262094184
278
+ 271 -0.226995249869773 0.445503262094184
279
+ 272 -0.212889645782536 0.45241352623301
280
+ 273 -0.212889645782536 0.45241352623301
281
+ 274 -0.19857394531739 0.458877312841991
282
+ 275 -0.19857394531739 0.458877312841991
283
+ 276 -0.184062276342339 0.464888242944126
284
+ 277 -0.184062276342339 0.464888242944126
285
+ 278 -0.169368960122646 0.470440384477113
286
+ 279 -0.169368960122646 0.470440384477113
287
+ 280 -0.154508497187474 0.475528258147577
288
+ 281 -0.154508497187474 0.475528258147577
289
+ 282 -0.139495553019614 0.480146842838472
290
+ 283 -0.139495553019614 0.480146842838472
291
+ 284 -0.124344943582427 0.484291580564316
292
+ 285 -0.124344943582427 0.484291580564316
293
+ 286 -0.109071620698271 0.487958380969374
294
+ 287 -0.109071620698271 0.487958380969374
295
+ 288 -0.0936906572928622 0.491143625364344
296
+ 289 -0.0936906572928622 0.491143625364344
297
+ 290 -0.0782172325201154 0.493844170297569
298
+ 291 -0.0782172325201154 0.493844170297569
299
+ 292 -0.0626666167821517 0.496057350657239
300
+ 293 -0.0626666167821517 0.496057350657239
301
+ 294 -0.0470541566592569 0.49778098230154
302
+ 295 -0.0470541566592569 0.49778098230154
303
+ 296 -0.0313952597646565 0.499013364214136
304
+ 297 -0.0313952597646565 0.499013364214136
305
+ 298 -0.015705379539064 0.499753280182866
306
+ 299 -0.015705379539064 0.499753280182866
307
+ 300 0 0.5
308
+ 301 0 0.5
309
+ 302 0.0157053795390645 0.499753280182866
310
+ 303 0.0157053795390645 0.499753280182866
311
+ 304 0.031395259764657 0.499013364214136
312
+ 305 0.031395259764657 0.499013364214136
313
+ 306 0.0470541566592574 0.49778098230154
314
+ 307 0.0470541566592574 0.49778098230154
315
+ 308 0.0626666167821522 0.496057350657239
316
+ 309 0.0626666167821522 0.496057350657239
317
+ 310 0.0782172325201155 0.493844170297569
318
+ 311 0.0782172325201155 0.493844170297569
319
+ 312 0.0936906572928627 0.491143625364344
320
+ 313 0.0936906572928627 0.491143625364344
321
+ 314 0.109071620698272 0.487958380969374
322
+ 315 0.109071620698272 0.487958380969374
323
+ 316 0.124344943582428 0.484291580564315
324
+ 317 0.124344943582428 0.484291580564315
325
+ 318 0.139495553019615 0.480146842838471
326
+ 319 0.139495553019615 0.480146842838471
327
+ 320 0.154508497187474 0.475528258147577
328
+ 321 0.154508497187474 0.475528258147577
329
+ 322 0.169368960122646 0.470440384477113
330
+ 323 0.169368960122646 0.470440384477113
331
+ 324 0.184062276342339 0.464888242944126
332
+ 325 0.184062276342339 0.464888242944126
333
+ 326 0.198573945317391 0.458877312841991
334
+ 327 0.198573945317391 0.458877312841991
335
+ 328 0.212889645782536 0.45241352623301
336
+ 329 0.212889645782536 0.45241352623301
337
+ 330 0.226995249869774 0.445503262094184
338
+ 331 0.226995249869774 0.445503262094184
339
+ 332 0.240876837050858 0.438153340021932
340
+ 333 0.240876837050858 0.438153340021932
341
+ 334 0.254520707875186 0.430371013501972
342
+ 335 0.254520707875186 0.430371013501972
343
+ 336 0.267913397489498 0.422163962751007
344
+ 337 0.267913397489498 0.422163962751007
345
+ 338 0.281041688926065 0.413540287137281
346
+ 339 0.281041688926065 0.413540287137281
347
+ 340 0.293892626146237 0.404508497187473
348
+ 341 0.293892626146237 0.404508497187473
349
+ 342 0.306453526826489 0.395077506187845
350
+ 343 0.306453526826489 0.395077506187845
351
+ 344 0.318711994874345 0.385256621387895
352
+ 345 0.318711994874345 0.385256621387895
353
+ 346 0.330655932661826 0.37505553481523
354
+ 347 0.330655932661826 0.37505553481523
355
+ 348 0.342273552964344 0.364484313710706
356
+ 349 0.342273552964344 0.364484313710706
357
+ 350 0.353553390593274 0.353553390593273
358
+ 351 0.353553390593274 0.353553390593273
359
+ 352 0.364484313710706 0.342273552964344
360
+ 353 0.364484313710706 0.342273552964344
361
+ 354 0.37505553481523 0.330655932661826
362
+ 355 0.37505553481523 0.330655932661826
363
+ 356 0.385256621387895 0.318711994874345
364
+ 357 0.385256621387895 0.318711994874345
365
+ 358 0.395077506187845 0.306453526826488
366
+ 359 0.395077506187845 0.306453526826488
367
+ 360 0.404508497187474 0.293892626146236
368
+ 361 0.404508497187474 0.293892626146236
369
+ 362 0.413540287137281 0.281041688926065
370
+ 363 0.413540287137281 0.281041688926065
371
+ 364 0.422163962751008 0.267913397489498
372
+ 365 0.422163962751008 0.267913397489498
373
+ 366 0.430371013501972 0.254520707875185
374
+ 367 0.430371013501972 0.254520707875185
375
+ 368 0.438153340021932 0.240876837050858
376
+ 369 0.438153340021932 0.240876837050858
377
+ 370 0.445503262094184 0.226995249869773
378
+ 371 0.445503262094184 0.226995249869773
379
+ 372 0.45241352623301 0.212889645782536
380
+ 373 0.45241352623301 0.212889645782536
381
+ 374 0.458877312841991 0.19857394531739
382
+ 375 0.458877312841991 0.19857394531739
383
+ 376 0.464888242944126 0.184062276342339
384
+ 377 0.464888242944126 0.184062276342339
385
+ 378 0.470440384477113 0.169368960122646
386
+ 379 0.470440384477113 0.169368960122646
387
+ 380 0.475528258147577 0.154508497187473
388
+ 381 0.475528258147577 0.154508497187473
389
+ 382 0.480146842838472 0.139495553019614
390
+ 383 0.480146842838472 0.139495553019614
391
+ 384 0.484291580564316 0.124344943582427
392
+ 385 0.484291580564316 0.124344943582427
393
+ 386 0.487958380969374 0.109071620698271
394
+ 387 0.487958380969374 0.109071620698271
395
+ 388 0.491143625364344 0.0936906572928622
396
+ 389 0.491143625364344 0.0936906572928622
397
+ 390 0.493844170297569 0.078217232520115
398
+ 391 0.493844170297569 0.078217232520115
399
+ 392 0.496057350657239 0.0626666167821518
400
+ 393 0.496057350657239 0.0626666167821518
401
+ 394 0.49778098230154 0.0470541566592569
402
+ 395 0.49778098230154 0.0470541566592569
403
+ 396 0.499013364214136 0.0313952597646565
404
+ 397 0.499013364214136 0.0313952597646565
405
+ 398 0.499753280182866 0.0157053795390641
406
+ 399 0.499753280182866 0.0157053795390641
407
+ 400 0.5 0
408
+
409
+ Lines
410
+
411
+ 1 1 2
412
+ 2 3 4
413
+ 3 5 6
414
+ 4 7 8
415
+ 5 9 10
416
+ 6 11 12
417
+ 7 13 14
418
+ 8 15 16
419
+ 9 17 18
420
+ 10 19 20
421
+ 11 21 22
422
+ 12 23 24
423
+ 13 25 26
424
+ 14 27 28
425
+ 15 29 30
426
+ 16 31 32
427
+ 17 33 34
428
+ 18 35 36
429
+ 19 37 38
430
+ 20 39 40
431
+ 21 41 42
432
+ 22 43 44
433
+ 23 45 46
434
+ 24 47 48
435
+ 25 49 50
436
+ 26 51 52
437
+ 27 53 54
438
+ 28 55 56
439
+ 29 57 58
440
+ 30 59 60
441
+ 31 61 62
442
+ 32 63 64
443
+ 33 65 66
444
+ 34 67 68
445
+ 35 69 70
446
+ 36 71 72
447
+ 37 73 74
448
+ 38 75 76
449
+ 39 77 78
450
+ 40 79 80
451
+ 41 81 82
452
+ 42 83 84
453
+ 43 85 86
454
+ 44 87 88
455
+ 45 89 90
456
+ 46 91 92
457
+ 47 93 94
458
+ 48 95 96
459
+ 49 97 98
460
+ 50 99 100
461
+ 51 101 102
462
+ 52 103 104
463
+ 53 105 106
464
+ 54 107 108
465
+ 55 109 110
466
+ 56 111 112
467
+ 57 113 114
468
+ 58 115 116
469
+ 59 117 118
470
+ 60 119 120
471
+ 61 121 122
472
+ 62 123 124
473
+ 63 125 126
474
+ 64 127 128
475
+ 65 129 130
476
+ 66 131 132
477
+ 67 133 134
478
+ 68 135 136
479
+ 69 137 138
480
+ 70 139 140
481
+ 71 141 142
482
+ 72 143 144
483
+ 73 145 146
484
+ 74 147 148
485
+ 75 149 150
486
+ 76 151 152
487
+ 77 153 154
488
+ 78 155 156
489
+ 79 157 158
490
+ 80 159 160
491
+ 81 161 162
492
+ 82 163 164
493
+ 83 165 166
494
+ 84 167 168
495
+ 85 169 170
496
+ 86 171 172
497
+ 87 173 174
498
+ 88 175 176
499
+ 89 177 178
500
+ 90 179 180
501
+ 91 181 182
502
+ 92 183 184
503
+ 93 185 186
504
+ 94 187 188
505
+ 95 189 190
506
+ 96 191 192
507
+ 97 193 194
508
+ 98 195 196
509
+ 99 197 198
510
+ 100 199 200
511
+ 101 201 202
512
+ 102 203 204
513
+ 103 205 206
514
+ 104 207 208
515
+ 105 209 210
516
+ 106 211 212
517
+ 107 213 214
518
+ 108 215 216
519
+ 109 217 218
520
+ 110 219 220
521
+ 111 221 222
522
+ 112 223 224
523
+ 113 225 226
524
+ 114 227 228
525
+ 115 229 230
526
+ 116 231 232
527
+ 117 233 234
528
+ 118 235 236
529
+ 119 237 238
530
+ 120 239 240
531
+ 121 241 242
532
+ 122 243 244
533
+ 123 245 246
534
+ 124 247 248
535
+ 125 249 250
536
+ 126 251 252
537
+ 127 253 254
538
+ 128 255 256
539
+ 129 257 258
540
+ 130 259 260
541
+ 131 261 262
542
+ 132 263 264
543
+ 133 265 266
544
+ 134 267 268
545
+ 135 269 270
546
+ 136 271 272
547
+ 137 273 274
548
+ 138 275 276
549
+ 139 277 278
550
+ 140 279 280
551
+ 141 281 282
552
+ 142 283 284
553
+ 143 285 286
554
+ 144 287 288
555
+ 145 289 290
556
+ 146 291 292
557
+ 147 293 294
558
+ 148 295 296
559
+ 149 297 298
560
+ 150 299 300
561
+ 151 301 302
562
+ 152 303 304
563
+ 153 305 306
564
+ 154 307 308
565
+ 155 309 310
566
+ 156 311 312
567
+ 157 313 314
568
+ 158 315 316
569
+ 159 317 318
570
+ 160 319 320
571
+ 161 321 322
572
+ 162 323 324
573
+ 163 325 326
574
+ 164 327 328
575
+ 165 329 330
576
+ 166 331 332
577
+ 167 333 334
578
+ 168 335 336
579
+ 169 337 338
580
+ 170 339 340
581
+ 171 341 342
582
+ 172 343 344
583
+ 173 345 346
584
+ 174 347 348
585
+ 175 349 350
586
+ 176 351 352
587
+ 177 353 354
588
+ 178 355 356
589
+ 179 357 358
590
+ 180 359 360
591
+ 181 361 362
592
+ 182 363 364
593
+ 183 365 366
594
+ 184 367 368
595
+ 185 369 370
596
+ 186 371 372
597
+ 187 373 374
598
+ 188 375 376
599
+ 189 377 378
600
+ 190 379 380
601
+ 191 381 382
602
+ 192 383 384
603
+ 193 385 386
604
+ 194 387 388
605
+ 195 389 390
606
+ 196 391 392
607
+ 197 393 394
608
+ 198 395 396
609
+ 199 397 398
610
+ 200 399 400
CylinderKnMa/Kn0p36/simulation0797_Kn0p36Ma6p6/Grid.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="Grid/Grid_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0797_Kn0p36Ma6p6/Lambda.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="Lambda/Lambda_300000.pvtu"/>
8
+ </Collection>
9
+ </VTKFile>
CylinderKnMa/Kn0p36/simulation0797_Kn0p36Ma6p6/Lambda/Lambda_0_300000.vtu ADDED
The diff for this file is too large to render. See raw diff
 
CylinderKnMa/Kn0p36/simulation0797_Kn0p36Ma6p6/Lambda/Lambda_1_300000.vtu ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <VTKFile type="UnstructuredGrid" version="0.1" byte_order="LittleEndian" header_type="UInt32" compressor="vtkZLibDataCompressor">
3
+ <UnstructuredGrid>
4
+ <Piece NumberOfPoints="2323" NumberOfCells="2200" >
5
+ <PointData>
6
+ </PointData>
7
+ <CellData>
8
+ <DataArray type="Float64" Name="id" format="appended" RangeMin="101" RangeMax="12200" offset="0" />
9
+ <DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0615" RangeMax="5.9549" offset="4576" />
10
+ <DataArray type="Float64" Name="yc" format="appended" RangeMin="-4.955" RangeMax="3.964" offset="5012" />
11
+ <DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.018032" RangeMax="0.091118" offset="5896" />
12
+ <DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.19999" RangeMax="1.0106" offset="26256" />
13
+ </CellData>
14
+ <Points>
15
+ <DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.0166462503" RangeMax="7.8102496759" offset="42252" />
16
+ </Points>
17
+ <Cells>
18
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="49472" />
19
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="63920" />
20
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="67856" />
21
+ </Cells>
22
+ </Piece>
23
+ </UnstructuredGrid>
24
+ <AppendedData encoding="base64">
25
+ _AQAAAACAAADARAAAVA0AAA==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AQAAAACAAADARAAAMwEAAA==eJztzssrBAEAx3EHcbE1OzM7Q1y4zUFJmrQe/SQuW9o4KMnjIuW4uSjKQXPz2CaJ0572uicnHJSIPDZ5X6TmJKkVmzho/wuH7x/w/faJrlqevnsNTaROant2DJUK6bntsqHAebgoj8RVtbH0kyzEFX7VTG7VmfLG1w4/Z03lbjveO49M+d37w5vNls5yA7sfi5b6m15f/EdL98uZwdC3lf6tz9xlbUXTlcLWwrGXzKYSKvVdztzkEwryo6ft1Y4aY8+t61OOwmBl7HrPkfcWO2hrcFW5r8678s+7hopFVxFevHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHjx4sWLFy9evHj/jfcPOfNiBA==AQAAAACAAADARAAAhQIAAA==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AQAAAACAAADARAAAdAsAAA==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AQAAAACAAACYCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSgYHAAAmNhNWQ==
26
+ </AppendedData>
27
+ </VTKFile>