Add files using upload-large-folder tool
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +3 -0
- CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/output/lambdakn.300000.dat +3 -0
- CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/Grid/Grid_14_300000.vtu +3 -0
- CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/Lambda/Lambda_14_300000.vtu +3 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Grid.pvd +9 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda.pvd +9 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_10_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_11_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_12_300000.vtu +27 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_13_300000.vtu +27 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_14_300000.vtu +27 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_15_300000.vtu +27 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_1_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_2_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_300000.pvtu +33 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_3_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_4_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_5_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_6_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_7_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_8_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_9_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Surf.pvd +9 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/config.txt +78 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/cylinder.surf +410 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/gas.species +14 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/gas.vhs +9 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_0_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_10_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_11_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_12_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_13_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_14_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_15_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_1_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_2_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_300000.pvtu +41 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_3_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_4_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_6_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_7_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_8_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_9_300000.vtu +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/final-grid.dat +0 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/log.sparta +319 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/mir.txt +3 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/output/surf.300000.dat +209 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/runmpirun128.sh +18 -0
- CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/runmpirun64.sh +18 -0
.gitattributes
CHANGED
|
@@ -766,3 +766,6 @@ CylinderKnMa/Kn0p08/simulation0090_Kn0p08Ma5p9/output/lambdakn.300000.dat filter
|
|
| 766 |
CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/grid/Grid_14_300000.vtu filter=lfs diff=lfs merge=lfs -text
|
| 767 |
CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/Lambda/Lambda_14_300000.vtu filter=lfs diff=lfs merge=lfs -text
|
| 768 |
CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
| 766 |
CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/grid/Grid_14_300000.vtu filter=lfs diff=lfs merge=lfs -text
|
| 767 |
CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/Lambda/Lambda_14_300000.vtu filter=lfs diff=lfs merge=lfs -text
|
| 768 |
CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/output/grid.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 769 |
+
CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/output/lambdakn.300000.dat filter=lfs diff=lfs merge=lfs -text
|
| 770 |
+
CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/Grid/Grid_14_300000.vtu filter=lfs diff=lfs merge=lfs -text
|
| 771 |
+
CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/Lambda/Lambda_14_300000.vtu filter=lfs diff=lfs merge=lfs -text
|
CylinderKnMa/Kn0p08/simulation0091_Kn0p08Ma6p0/output/lambdakn.300000.dat
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:88a62a349d92254011ec7f3a8baf4ddcb3ed1a46be80d53f2a1f7782948f9191
|
| 3 |
+
size 72896018
|
CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/Grid/Grid_14_300000.vtu
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e48de7090bbbae6d0ea3b1041819cf973edce8cb13d59696e50e7392629c5ea3
|
| 3 |
+
size 20348942
|
CylinderKnMa/Kn0p08/simulation0092_Kn0p08Ma6p1/Lambda/Lambda_14_300000.vtu
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ddb10a8d88aae1823826cc29bbcc9d49aac0e9eefe40314352903bb43e1f2cb5
|
| 3 |
+
size 11010717
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/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/Kn0p12/simulation0164_Kn0p12Ma3p3/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/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_0_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_10_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_11_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_12_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="3434" NumberOfCells="3300" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="109801" RangeMax="121612" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="-4.985" RangeMax="-2.0096" offset="5088" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="6360" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0035593" RangeMax="0.0036588" offset="6856" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.11843" RangeMax="0.12174" offset="19840" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.4777588543" RangeMax="7.0710678119" offset="28860" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="40156" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="64068" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="69904" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAAAgZwAA1Q4AAA==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AQAAAACAAAAgZwAAqAMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAA9yUAAA==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AQAAAACAAAAgZwAAWxoAAA==eJx13Hl4VtW1BnBNFalSiVgcqkKrdbxBLFVaAXuupQ65ah0LapE6BUWKokQQrRaCIorYICoWShxRi0RRUSjRExGtRkSEoqGCqJTEAYUrQ5WLQ09y+3P3WT7mn/N8X86399prvetdw97ntCv5r+t3+XuevT50yZa/NubZuz3GzzptZZ6tGfpExy0L8mzXqj1vPeRveTagfOTkM5/Ms+4lH8+9Zl6e3dvpnsV7PZdn55aefvisF/NsacWPHt08J88ea6zLVj6UZzt2eWzqugfyrG3zex9fNSXPbqu6uOvAm/Js5wFvfHHbbcV81XNeWHJ9np1W+cNJX1an64k9PzvsjHvzbJvaZ6pfq82zB/u+1O25R/OsT9Xz77z8SJ690FhzRoe78qy6/OhXnq3Js2UtH+/Ps0sbLn2gcmae3VTaafCexf0LO1247ZgZSY6j6rY/MPtznp3f860Tx0/KsxE9nx04b1yefdLp4MPX3ppn84rZaibm2Y0lV+994i151mvAXd2+uDrP5pa3KzSU5L+z5Oxeo8fk2T5dbpu9z5+SvGMaTpv34H3p99PKD3zvn7ek3xnflT5v7lQ/+/1FeVZf8ctJzxf6PKbhoaHtCn1u6THklbFLkh0Oqdu//Q5P5NlxJUuXPlZcO2/8bZ+rH86zs0tmr23+c9IXeWY2fG9T6fg867+x4327j0tyzaheP/GiO/Psi4pPVp9zd54dVNn/vEkP5tnqsg8HXl+fZ2MbN+0wbH7Sd8fKq8rPm5VnI6vGdTzsjqQ/n42zqtNxnefelebZq3nBDjP/kGcDK7d79MfX5dnptcd/Ou2aPCu5s/PRbf+QxvG7u0u3vv6kaWncBaUvzJ0zPuGCnXavvXf6t+9J9mVv38PfoKoHt2xV2GNOp+vWnFzgct+eLchN/6+qLitUl2fbb7yhV3nx/aTq9ld2L74fXtrz1PeeSvh+u3T60g9H5dmUhp8sX3FHuo9+4MoVDsx/Zt1HPx86Nc9WNu2d7/x4nv2xZuZz33opz3pXj+4w4I08m14x6OoJr+bZ0MYO648scDC3bL/unf/DD+cNXffOLf9IfnZk1aoX7qjLs1lN/W58qBhn04b79+7412SnrSrv6Nr1mTybXzPs00GPJdzwI+sgr/U+XDNx5U/yZP9FZd8+6dQFSY6ZMw49cNs3C3v2/UHT/q/l2bU1C6cvKq7vV3x3QZfaZE9+ad496n6x6fVnkp7ZwxV+VzSOGnp0Yd/pVSeXTx2ZZ/2aK884/reFX1Qdet7iyoQrfPJRTa+ypZOTPSb2fXe36qfz7JTi1/s9m2cNTdl9bxXrGdwqULK/q+/xB9xllUdevaDw6xZt3jw98Qd7RtxZV6saCzu0qTtn+T0vJ3vDNf3TBzmOKJ87YP3CAmcb5rd9Z3H6PZzc2TRiyPDX0/9Prx5QNvmVxB/Wbz48QB9wQC/wg9efn7Fr78MXJ95xHzzu9f+K/Gr+dTPeHHb3X5I++JF1whW/hQu8xG8ir8Pv1MZl+06fnf4P9weUNx6fF3GqpOrwKz8r8Pjkhs+XXvF+gYum2/v0XpVnPy29Zdvj386zH5TsePf/LEz6IB9/oW+8GnkXH/NL89Mnu/kM/9bRr+Hm8f/9VIqnrWI3F/+veKvjvC8LvLXA/J/Jj+iVXG/M+L9+g59Pfg2nxmMP8uNtcYE/wfGhG08c8mjBi0+Wrr7r2j/m2SV1r/Z7YMLX8QtvLdH94mVp/fSOh6aV9d5zzaqkL34ceZg92ZF/WN+ITiumPrG88K/Slxf/45Nkz9P6/mzBhrfTeuFVfmFcOMOv5Ru7FVBI6454dJ/8QfzkH0/1bQlQ6T64pS+f/V58a4XHsMRb+J8fwg8741n8yg99hlfjkAsPwTV94C/yHdM8IdvtipS/kOvauseHLb8u6YUd+Bt56fHg2jHPHXF7ihfiPHnkN67yCnLAm3iAX+VDPsuHujU/vO/q0UVcrB248tIb0zxwLb/DO+xALut9vuHzHY8aleKJKzndbxzrFjdnFKjuvy7xhfjIT/Au/eNrcZN98Of5nTaPHvVuGpf/wLd5evTcfc99C/7Y0LTtsmMeSH6L38VT9uJ3eAQfwBHeiPEd3snPP+gB/ulL/ivuyt/gCU74CbyQ3/zkFleti97hnhzG4Wf4Vf1Bf/EKL3BOn8aXt9APe5EXfgbXdu3wxmVFPGklioIXG88ff+XYFNfgB9/A7eryJYdNvCTl367y31klvfvMvrKwV/WUd9r8Lo3v+3O7/GzbZwr/Hd6l5T8FL9fdXmgqjaN+kg/t2lqQpDzpmsoPXrpgRJrPfXAvDuNrOJDv+ix/Eu/ph9239O0z+daqZPdYD8X8F17Lqr6sPf+F5E/sCv8xv95ctmh03eOJr9gfnmM+Sc5Yh5LPlV6sZ1H5uj1+c1W6tilQ8/Dvkj3wy809p43e9PuEhzi++fE3v8HT+FVdxr7mgT/fWxc9iLt4BL/gIf7Evvj18pLJbfeoSf7nPrzB7uwCL+KvvEZeAhf8y/h437rZn9/IT8ilDuc/7vN//oW3yE0u8vJ7+YF56N1n+RK8kc/3+IA9rYMceElcOaHLr9eMuzbP9h/w9G4v3ZDWIe6ePGD08d0uS/VMWWtCn+yMZ/nTLZULV08ZXPhjz7FTD6xMuPtplysW963+Om71UfCAccTT5r5DR559c8KbOG1ecpMHDq1bniTf5X/X9N3my183pDgnn1Of4Hvj8Ef+gZ/5iXpOnR/1ye+sB07wOjnU1eSVN8CpfARO2ZlfFkouFpBn7TrvdOreNyQ+YEf5Ff8XH+EAnvkZnpIH4j9+TI/qfp/9zlWdtmLulAd6rE51oXqHH/BTelGfyKf0W2IdZh6/4+fsqE/Eb/gZfOCLWA/5vfnFd/mwfB9/ya+MY1z+a53kVK/iOzji1/CuLhGXyMOP2U1e6XdwCk/sgG+s0314UT7IPvjFZ3XsyIoWT0x1p/oSH8uf4Kbdv/u19Abv6jT8aDzr5XfRH+lTfJUXkV+/wrromT1iXSAe4mtxK/KG9cGfPBR+xT3yuE9eIm/mR/Je+lLPymvgCd+wl/gg7yAHXNMnOYyL59TJ5BCXyE8PsW6Ap9hni/FJPhX7MtbvfnoRv8wrbsEzOYxHTv4U63nywiW7szdejTzu8zf15cilnsD7+Bl/4mNxwLjwiUfYRR9FH2PnVmJPfZjdq59e+fnHqZ+J/+FY3kFf5Ilykst98EVf8A4/+kz0wN/YmRz06WoeeTY9uB9+zYtf5IcHV9/16Y+ak9/RE5ziZ/pkL3jXt/F/fAEHsb6Xd8h/9P/1BawXztS1eIJf4mt5jT6LelAflr+L8+SkZ/cZz7zyXnEUbqyP/7CjeeiR39KXeGgd7BH1x1/pH87FH3kavcAPvcj35CfyuOiHcOP/4pz8Sf6jH+P+mLfjNfkBXsCX9EsP4gV8u+IPcVMeQN/8mL7wVIw//BMO8KP14x/5ofvYH07t46nD5c3yTPphH7wqvuEL+DevPJ094R+OjUu/eJcfi9f8S34BN7dVjD3vrBUJtyd22uWiEzakPKJ/Y9dl31me8ChvY1d+CWfkMT8egxfr8Xv5Eb37HRzQC35SF1qHvMM45HDV32An+ueH8ELf9Gxcfio+Wb+8l37FeX5mHfhcfYV3zQd/5PU9XMT9LnbjN/Sjn2N8+KR/8QJP8Td5SdzPwkfw4Yqv+KHx8BR+KMjzi0XnFHJ22ebwA4prxwnndLzk/FT3xLo88gp94yvz8RvxBG7FZ3LimcijcMZOxmNv9jU/u7IzvlS3w1WsB/Ar/cqX9Tf5zVYTrtnSY0iKR/ICfkQ/PrsaD17wrd+TE5/AAfzH/FofAF/hr7jvz07iL33hc3k1P8WL5BnQ+lfE19bAkfoSsb8pjvAjOIBv4+pT7rHsoHmrhqRx9z19z1c+uyjpGa7IZb38XX+21asrUv/Uuq0XHsQHuKFPdsdXUU9w263hxTOW/S3hVd3Fz63b7+BLX4F9yO0zvVmv/BI/xrwQv6iTxFHrlhc4twCn+sxvNLx9wIjLU18JDtlRXIo8I7/C4/KbmE85t4J3/N/v5GX0Kg/iH+II/MhXY91tfrzhM73HOkw+QV+xb8lO8uvYb8ff+hTWa9/SPqa6XD9M/m3fll7kM7Efhafon57Ue3gVL+iTfdP+C/92pV/rx6c+sz+/4C/0ad36EeoNcrlPnk/f4jde4ydwZT71CDvHcwJx/yjKF/u6+Fv8x/+xzsAv8XyT+SJu2E2+EOso+0zwIO7p3+gb0Cd+0XezbvaJdUY8NwUv5OAP5Cev8eDZNfZV+J31yEfcp59pXfpZ4rp1OzfAf+Wn+ifsJh6Rm57xK31dUvNBkbEXPLn1sYNXrU59L/q2H+pK3/bZ4Taeb+Cf1gNvcCFPkL/BF94Xl+kTfvmbdeE//d4pM05uv/i9FE/k8VGf9Bf3XeQb4rU+tP60ukPc0a+2Hjhjd3ri11Ev5FAfw2G8qkPxKnnsq4n/4re8Sr1Bv/hZ/QHvruKkecR1cQt+rDPKx6/p1VXeIG6wYzwHJi/lf3gNL8GH/8erdch31YOxP6iuEff1Nf3O9+6zPnqkP/Heuvgzu8Y+PD3E+oj9vzon+e/6XX6kn6lfCf+u8XyiddObeeBZXqiely+Jf+K0/Jp/kE8+Qa+xvsarMS8kp/oHPuWzsZ7mX+Kx/E48xg/mxX94SX6At/Cn+EBP7BzPd8TzYvzZOTl2ogfy0Dt/sH52EDfwGrzxL+PQMzzpq+FnvEY+vCduxXMD9MrecV8WnuEUH1hPzDfiuePY949+I58eu3F5IUHal4/nutmX/uGO3vhP7B+Lz/wCr1gfOeHc7/2fvfCJfCaeR5RXuMa8XJ9CXBY/5bf65faV+DX94lvyi3NwJp+QF7ec7m7zv2k/Mz4/wC70g4/YR94Y6/WYl9GHvJCfkC+e78QL/AwfkptfqnPoy/rlAeSHA/oVX+hfHoLn6Ynf4gPz4FX+Zfy438Qu1gPf8RwbPdK7OOn34i8+iH3/2D8xfjx3jefZBT8bj53lw+wRzyPFfTif6YOe8A39xedb5LP0AB/qa/mPvEj+I38tktu1M978+vfOIY+ZcfGmP23Ms/06ndS9afv6bHX7NjVXta/Pjqz4bMtNO9RnU+euP6Nmu/ps/qgWoNVnR9X88Kwfb07rgE844C/OD8sb7W/xS/GEX8jf+XM8b0rP4pXzH/p+zpH5Pz6BY/FH/Izn4elHPUDuL47dafc+Hye98S/5OJ4Sb/QB4/6yK9zKh+CXvHDIL+0/xvNw8TyxcSMvwAl+gE/8B1d4QvyFT/zJ/8lHb+oD8dI47ItP+Evcv8Xr9CUvinHd+tXJ4iM+4EdwjT/ZmZ/gX/tL9B/rUfHQ/LHPx17WF59Lkl/Geg/+2YUfwRP/V1/ZH6VvuKAveQS9qsNOKL2888ilKR8zn/XCKzzEvAxv4RX24+/wG/tV8dyF7+lXnkW/33TeBb7lUXjPNZ73og98L16wF3nFIfg0Pz8jF73QUzyPgJfMY50+w6t+pjxcP9N+Xjy3qT6gP3Japz4iu+ItOMP3eAr+yQfPeBBe4cL68FrsG8AfvMOJOEVOcZSf+z76O3vLE+N+qDrFeTZ1uXrGdejGT58+4fcpX9X/EK/jfou4EM+78T/rFzfUC/SFP62HfuNzS3j0o1F9zn7xg1QnGZ/d3AfX8byB781jfv+PfiP/VE+Qi/3ivh6+xa/Gox+8Tg/x3Ejcbzc/nOA5V/WduGI8/2cH8Qf/8Ut4jf1b+qC/+Nwk/47nfMRnfKrPra6DT7iEJ/Ew8ii9kMMVHvFOjOPmic+lyEPjvgYc49e4f82u4lU8p6Afjk/EKfHSlf7hNvZx4vOr7jdffC444pt92NH64Ip98I1x+S18G9/VffRj3eKl+ODKX6xbPUlP8Eq+GHfwtjyG37KzOOMz3vcchXPX9sPsgznf69yS+lq88Nm48ZwHHM/pOWj2WRcWOGwNaAU+urx7Sr9fFX6y05C2v7oo9Tldp27MP37igsLupePXfn9Y6nPRV6wX6RW+PR+tP+0zvsbn9gHjuRnnG+T34gN/0HeIfZa4PyiPkX/F/Ii95QfqMXkzPOFB+I590sh/9rnYQX/EPrDz7PSFj+n74boR03tfnOxRJNtjbrz06+e42RsO4R3/4ad4Lsx9sd4V9/Fl7P/5XjxlX3wT+3P0Qh/ktA77AvTB3vpa8nV25WfyefaxDvlWfB8Cv3I+gL95Hgne2It/ytPg1T6B/Td6EI/YX33Kv9kznhMkp76declDL35Pfs9hbPPS/f3eOavQx07dez19SoHHFrX1T/47v67fc8PPTecX4I/f0Q8+ifkDvxZf2J//sSe9WA++iufLzGs+do37IfgVDuSD8CkvF4fIK4+J8zvHEv1Q35RdyKf+UF+zt/xevoB/8az1yFNiHzCe2+Uf8XlAebX8MD5fH/NM+IMr527WNcz/ee3AhC/fWyd/c94DP9MPe8bzhPId81onvfBP/CCPt88Xn4c2vnpbnSTPj+eJ1FdwZV52wovxPC9cwYvv4/mumFfHejG+B4T94UseZxxyxPP28RyL/EI8ZJcxzS2NwTz7vOrNmYNPTueS+Ld52RU/0A+7uo+/8g/49xyYOOR+figOqyPieWf5nfyNvvG/38XzwZEf7L/adxXvXPk5O8MNPyc/3sP31k0e/iYO8Wdy4Sn25L8xrzG/ccRr/M9OVbUdyna8IPF05Gf+at3ytYU9f7l4Qr90/tE4R9754sT7BqV4yg/k1/hS3iZ+xvqX3eL5Rvwa++v4Ud4ibokncEGf9CRPi/lrPNdEv3ACz55fFg+MQ974HKB6Le53wgm8w5vP7OOcqXOB/EV8ccVH8hX8EN/nIn+kf/wdnwdxpedYV8U8VB6Mt+kJT8gj4Qzv4zX2hZOYv+q7shf+jueRxAe8B394hP3xIdzhQ/fH/Z54fjb2r131v+zbyfvj83rxnKm61v1wL/+VR8tP2AWe4vs46M/3sd8pjsC5ddIf3EeelgeqD/kNe8T3MsRzPnjKvOwRzw9Yn3wQ75FbPRzPC6qj4vt74Fz80w/BV/yenuJzVuK0ely8xv+xjonnbvA5HMhjY73ED8xrfHb0PTxEeWL/XB1JD/QW38eED/xeH0mdaj/A/lTbhpL9hqzJsyU9pk/+/n/0F/Vx6FneDu/0IH8Xn+NzhPQT+2f8UByAc/o3j3XyR3iADzytvhB34vlzcVd+IM7JE/CuPImfiAvxfXb0DE8xr1W/xj41u8dzMfF5Zv6NJ/GY+eEtvpctPj8hn+bP6g76+KY+GR7mv9bBXniAneHqsbmvDV2ypZivceB909an/TTnX+w3uF/eEPdb8YM4Yj7rpjc40I81jjiuvxTPk8EVv7A/Zdy4bxGfo4Vj+QF7+z72+2O/0/fx/G98jgBe9Q3wtboebuUxcIuH8Zf6I+ZP/Dee18F/8o7Yh9fX5H/0Q151GrnIAddRT/SI71zj+/r0851P0XeDE/wanw/Q/7D+eF7ElZ/iD7+zHnm1PEgfhX3pDw+4ipP0IW+M778iF3+Uz9mXs69hPwiO+YX5Yz8v7kvws/h8FX/EG/Kr+J5AeOV34hB7iNP4TL/Q+vBYPJfis/lifInvvZT3iX/igziAZ+GfPsQXcUc88z05fI7PtcXzdNbp/3HfJ9b9rv7Pn+VVPvMn/ml8/hn7ETHPMB7+5E/xvAE7xvc68iv1KH4RJ/mHOto66U1eKf7E8ynG0+dUX+vbyCOtQ1yiN1e4glv8L29wjn6f0kfW7PphWnc8hwfX8flP/GY+uMLn+EteIM7E96Qanx7kfeqxCS0wWpvqDvsM5MUT8EPf7B7PAdIbHoznnvR39Qnw3EETftH13tMT34k76j5XcSq+f5c/+b/9J+OYRx2iz6JOkW/Dfdzfi+/1iPvH9MQP2Ek/FB7kv3iVfcR588XnFOEN77N7zL/xXoxj8i6/j/5vPv6obyv+yVf4Pf4Rn+2z8mM45M/spX7n3/BuXueQ5EnyI+PE9yrF/Rf9Qrg7ZNl3lu9S8fW6kb3J6Rr5Gl+QV14ez23HcyP8gZ/EPj759LfFaX1iOMY/7GdcuIEz/Ip35dXs5Htx07km5wTp3XlC+scz+Ihe4DG+B9D/xSm/Ew/5Cd4QT+M5Wn7DT9SL+hxwh6/iuVj2jH16crAD/ctrXY1Hj/THT+mbf8hj+J/+Qlyv/DM+d+Xcpucd8QQ7xPfukss8zt85V+58I33hA/W+/C6+35f99aXi8yPxvIL10Dtcij+xL4Y/6A8e4/sn2dt7Zc5uenXv5ZvTVT56edPjvdqvTc+Dimf+j1foCR/G8+14SJ9eHRrPc4rD/Jwd1ZfOo6oX1BV4N77nOvZL5LHyZfElPl9FPryknxvzFvHMVd4Un08S/52PhT/6954f71tlv3iOLr7H0DzxuUB9YvPin/jccqyz8KTv5V/sTG7v7yCv+Dt8w2nXr2hXn3Vv2n7dZTulq/PjB/W9YtK4T5NfuDrfjufjOVrn4sRNdUF8HhsO8Dn+gPv4nLfnBOP7SMRj4/Nrfo9HvMeS/+NBdRleco3vRfqmvoh6xXri8654kF/TG37Hl+SlP/qQn5JbXoRPxFXfy5PlA/zCfk58r3J8Pws/w6vxPLv8IZ5bglNx2XjycfbDC3iJXegJPvAkOfgXXBknPv9Oj/zU+OoR44gjeIxd8JD/xz5MfA8B3jC+dfh/fO+7OM9f5QnWiTf07awvnrvUz7NOfWNxJJ5fnbN1S+JVn21u//7sR75V/9V4eJT9rJM+B1U823VT4W9VLY+FtKnPVr7Ya/12xe9PKZs963sd6rPeQ6cefeZB9dkRBQqb96rPlh57XNNHbdNzJ/qS8Xyz+fmJOCTOqiP5NbuII2fWbDf8go8Sz9GT/hj9y4voJfIDPrx0xrjlF25Vn+1R0//ABaX1Wf2xFy74y3frv3ouRj8InsV9fknf7Bz7/vjd1fM4/wL4nDq5AgAAAACAAAD4IAAAbxkAAJMHAAA=eJxN1FnIBXhZx/E5nN7eTqfTKdtsUVTMkkHUZCqz0FJzwUxCypUQkQqbTLKUitQZ932ZcdzqRIRhJQVeBFaaRXgR5lZWSpK5VCaKYopGix94v//zPFffu+fq97nmmt/+i3c+6Bn3uebL9ze70+pXfcNvrX7cbX5z9bXf9frVn7/b61a//Qdeu/pF93vN6p966KtX3+ERt6z+5ONetfpPnnjz6ht++abVP/b0V66+9fNfsfojr3j56je9/mWrn/aGl66+7x+/ZPXXvuXFq//pr160+nff+cLVT/qHF6y+54efv/or/vN5q9/1ueeufu3/Pmf1E77q3He71bNXf+nbn7X6r7/zxtUvu+sNqx99z2euvtN9n7H6w6/5jdVPfdOvrz68/VdX/87fPW319//7r6z+2/9+yurHH39p9Rfv8OTVL/3eJ62+44OvX/2Wxz5x9cOe/HOrP/asn1n9a69+wuqv/8PHr37D2x63+gff99Or3/vxx67+2S89evX/HB61+pW3f8TqO1/3k6vf+sCHr374Y35i9See9LDVT7/xoau/6ZaHrP6D33/w6vu89YGr3/+eH1398x+73+rNF39k9S1f88Or73K7e6/+y3v80OpHPOBeqz/1qHuuvvEXvm/1t95w3eo/uvkeq+//xruv/sCf3XX1L777Lqu/8qPXrn7dF+68+u777179jtveafVjvueOqz97/zusft4jb7f6NtffdvWbn/Edqx9007et/tDv3Xr1U/70m1d/9bu+cfXpX2+1+rrPf90w5DjcOAwr9sOH3TDhcjhwMba/HXvfrP7MQ/7vbfU1X7brXfd+5tXf02p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsOhtyHG4chhX74cNumHA5HLgY29+OvW9Ws6tm17uvu+Hq72k1u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdp0NOQ43DsOK/fBhN0y4HA5cjO1vx943q9lVs+u919549fe0ml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbvOhhyHG4dhxX74sBsmXA4HLsb2t2Pvm9Xsqtn1vts/6+rvaTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p2nQ05DjcOw4r98GE3TLgcDlyM7W/H3jer2VWz6++/5dlXf0+r2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs+tsyHG4cRhW7IcPu2HC5XDgYmx/O/a+Wc2uml3vPzzn6u9pNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anadDTkONw7Div3wYTdMuBwOXIztb8feN6vZVbPrH7fPvfp7Ws2uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdZ0OOw43DsGI/fNgNEy6HAxdj+9ux981qdtXs+sAXz3bV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2XU25DjcOAwr9sOH3TDhcjhwMba/HXvfrGZXza4Pfvp5V39Pq9lVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbPrbMhxuHEYVuyHD7thwuVw4GJsfzv2vlnNrppd//yx51/9Pa1mV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrrMhx+HGYVixHz7shgmXw4GLsf3t2PtmNbtqdn3ogy+4+ntaza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml1nQ47DjcOwYj982A0TLocDF2P727H3zWp21ez6l/e88OrvaTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p2nQ05DjcOw4r98GE3TLgcDlyM7W/H3jer2VWz68PveNHV39NqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7DobchxuHIYV++HDbphwORy4GNvfjr1vVrOrZtdH/vzFV39Pq9lVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbPrbMhxuHEYVuyHD7thwuVw4GJsfzv2vlnNrppdH33zS67+nlazq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tm19mQ43DjMKzYDx92w4TL4cDF2P527H2zml01uz7+xpde/T2tZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6zIcfhxmFYsR8+7IYJl8OBi7H97dj7ZjW7anb92+llV39Pq9lVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbPrbMhxuHEYVuyHD7thwuVw4GJsfzv2vlnNrppd/3Hzy6/+nlazq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tm19mQ43DjMKzYDx92w4TL4cDF2P527H2zml01uz7xwldc/T2tZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6zIcfhxmFYsR8+7IYJl8OBi7H97dj7ZjW7anZ98pmvvPp7Ws2uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdZ0OOw43DsGI/fNgNEy6HAxdj+9ux981qdtXs+tRTb7r6e1rNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXWdDjsONw7BiP3zYDRMuhwMXY/vbsffNanbV7Pr09Tdf/T2tZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6zIcfhxmFYsR8+7IYJl8OBi7H97dj7ZjW7anZ95vGvuvp7Ws2uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdZ0OOw43DsGI/fNgNEy6HAxdj+9ux981qdtXs+uwjb7n6e1rNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXWdDjsONw7BiP3zYDRMuhwMXY/vbsffNanbV7Prcj7/66u9pNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anadDTkONw7Div3wYTdMuBwOXIztb8feN6vZVbPrv+7/mqu/p9XsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZVbOrZlfNrppdNbtqdtXsqtlVs6tmV82uml01u2p21eyq2VWzq2ZXza6aXTW7anbV7KrZdTbkONw4DCv2w4fdMOFyOHAxtr8de9+sZlfNri/c67VXf0+r2VWzS/8/okdZO3icTdRr7OiFHMfxc3Ycx9/f35/CcjktLaW1VmkhMVGRltaskS6zs9awJE1omFKhiNL9/jezzKWxeWCLdWHmgZHbGA9sITPMxqxUK3pt5/39/x58t9ez76PPe8uWLVsOOuC2+x456pajn+KWhw+9dXz/a24ZX3nszeN3nHTTeN9Tbxz/Y9cN4++ec/34kg9dN37rRdeO97rimvGfrvni+K7brh5feOdV42O+/YXxs+/+/Ph3P7xy/JWffm583m8/Oz7ywSvGT/v75eMH/vOZ8S1Pfnp89jM2fegenxo/9uLLxj962aXjqw+5ZHz6kZ8c73/MxeMHb/7E+CN3fXy8dv9Hx1/+9YXjV//1w+OfPX7B+Kz1D44f3ff88VWvPG+83wnnju8+85zxyee/d/zQZe8ef+yms8fP/eZZ4zvv3TV+7a/eNf7lX84cv+ex08dPrJ02vvalp44PPOLt43uOP2V8yhlvG//tvJPHF1160vj5N544/sbXTxgffc/x49/84k3j9z107Hjro28c3/isN4wP3uf14x8c/rrxqW8+avzP044cX/r+V41feMkR429df/j4uK8dNv799w8Zf+DnB4+f/ueDxrc+cuD4sNWXj3+89/7jM16x3/jfx+07vvyd+4x3nrv3+DsXv2T8luteNP7DV/caX/C9F4yf+cDzxht/3GN8xMPPGf9kZX28a+faohWriz6sLJqwY9GB7Yvtb1vsfev4Xyf+7968ZcuX7vvvYbfu/rsxvmHPO8a7dt4+1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr12ZD1hfdWFu0YnXRh5VFE3YsOrB9sf1ti71vHWtX1q7HDrht99+NsXZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3abMj6ohtri1asLvqwsmjCjkUHti+2v22x961j7cra9fjO23f/3RhrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrs2GrC+6sbZoxeqiDyuLJuxYdGD7YvvbFnvfOtaurF1P7HnH7r8bY+3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytq12ZD1RTfWFq1YXfRhZdGEHYsObF9sf9ti71vH2pW168mVjd1/N8balbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1a7Mh64turC1asbrow8qiCTsWHdi+2P62xd63jrUra9dTt/vvxli7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2bTZkfaxdm61YHWvXZhN2jLVrc/vbxtqVtSv/Hz6Hu4A=BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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AQAAAACAAAAgZwAABxEAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_13_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="3434" NumberOfCells="3300" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="109901" RangeMax="121712" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="-1.9795" RangeMax="0.9959" offset="5096" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="6444" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0035627" RangeMax="0.0036487" offset="6940" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.11854" RangeMax="0.1214" offset="19724" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.0090237811" RangeMax="5.383137758" offset="28648" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="40212" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="64124" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="69960" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAAAgZwAA2w4AAA==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AQAAAACAAAAgZwAA4QMAAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAYiUAAA==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AgAAAACAAAD4IAAADhoAAL0HAAA=eJxN1GuoxVlBh+Gkthaxs2KTEYey2BbSMcqDRJ2z50hidmzISj+kCZGGlGZhRmYGOWnmJVNT03Ln0FiCpnbZYRCOomAhMdl4S7QxJTWtofGSmFjYfg6867/Wp+fjWvwW76dv/NJbbrt6+gO/7HhOfvmLww95xeeHn/y2zw6/8pN3Db/ja+8c/tz3fmL43j/10eEbn/Xh4ae8/l+Gb3nP+4f/8YvvGf7Ct90+vH3obcM/+qR3DD/t5W8ffvVb3jr8ro/fOvx/678dvu8D3jj8iEf/1fBvPOMNw3/22tcOv+/2Vw/f7Qu3DN/v3jcP/8RDXjH8jF942fCfv/TFwx940wuG7/7R5w1/z1c/e/jR93/m8LMf+fThx93tqcO3PuxJw5tX/tzw4+/86eG3fv+jhr/xOT8+/Iv//NDht9/nQdPW59O+Z9Omp9OO22m7k2mvzbTRetplNfwnt33xzfnHHn/n8Jfufsfw61512/CjHvjm4Xvc8Ybhv37qzcOP+YYXDt/z8PThX7v5McPvff+Dhr/76+8z/NwfvvvwP3zVO2/NN/36i4af+KHvGH7sPc/etLx9f7H8w6td/syDbxm+ePe/Dj/oL77mhvyJX7nf8PN3Nw7f/yueMPzzH3vm8Jt/6CXDX/e6V92w3Ocw/MZfetvwV77v9uGf/L6PDL9+/6nh47nMr/nLeww//LH3HP7fzb2G//Tvvnn4R37124f/577fNfzHH3zA8EOfvxv+7A0PHv6jT904/IO3PGL4roc/evjlq58Z/oG/ecLwf/7sk4df8k1PG/6Wx900/Olju955edO1tStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbVr2fp82vds2vR02nE7bXcy7bWZNlpPu6yGtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbVrefv+YvmHV7usXVm7snZl7cralbUra1fWrqxdy30Ow9qVtStrV9aufDyXWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snb90wN+89ralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2rVsfT7tezZtejrtuJ22O5n22kwbraddVsPalbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2rW8fX+x/MOrXdaurF1Zu7J2Ze3K2pW1K2tX1q7lPodh7cralbUra1c+nsusXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu971nc+4tnZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LVufT/ueTZueTjtup+1Opr0200braZfVsHZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LW/fXyz/8GqXtStrV9aurF1Zu7J2Ze3K2pW1a7nPYVi7snZl7cralY/nMmtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aud3/rM6+tXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF3L1ufTvmfTpqfTjttpu5Npr8200XraZTWsXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF3L2/cXyz+82mXtytqVtStrV9aurF1Zu7J2Ze1a7nMY1q6sXVm7snbl47nM2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVteu99/qta2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr17L1+bTv2bTp6bTjdtruZNprM220nnZZDWtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr1/L2/cXyD692WbuydmXtytqVtStrV9aurF1Zu5b7HIa1K2tX1q6sXfl4LrN2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtet/6WdfWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q5l6/Np37Np09Npx+203cm012baaD3tshrWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q7l7fuL5R9e7bJ2Ze3K2pW1K2tX1q6sXVm7snYt9zkMa1fWrqxdWbvy8Vxm7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2vX+L//ta2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr17L1+bTv2bTp6bTjdtruZNprM220nnZZDWtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr1/L2/cXyD692WbuydmXtytqVtStrV9aurF1Zu5b7HIa1K2tX1q6sXfl4LrN2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXt+sAXlnZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LVufT/ueTZueTjtup+1Opr0200braZfVsHZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LW/fXyz/8GqXtStrV9aurF1Zu7J2Ze3K2pW1a7nPYVi7snZl7cralY/nMmtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9auD9717GtrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra9ey9fm079m06em043ba7mTaazNttJ52WQ1rV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra9fy9v3F8g+vdlm7snZl7cralbUra1fWrqxdWbuW+xyGtStrV9aurF35eC6zdmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7brjY8+5tnZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LVufT/ueTZueTjtup+1Opr0200braZfVsHZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LW/fXyz/8GqXtStrV9aurF1Zu7J2Ze3K2pW1a7nPYVi7snZl7cralY/nMmtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9auD33wudfWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q5l6/Np37Np09Npx+203cm012baaD3tshrWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q7l7fuL5R9e7bJ2Ze3K2pW1K2tX1q6sXVm7snYt9zkMa1fWrqxdWbvy8Vxm7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2vXh2593be3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtWrY+n/Y9mzY9nXbcTtudTHttpo3W0y6rYe3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtWt6+v1j+4dUua1fWrqxdWbuydmXtytqVtStr13Kfw7B2Ze3K2pW1Kx/PZdaurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdH/n737m2dmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snYtW59P+55Nm55OO26n7U6mvTbTRutpl9WwdmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snYtb99fLP/wape1K2tX1q6sXVm7snZl7cralbVruc9hWLuydmXtytqVj+cya1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q5/u/X519aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrmXr82nfs2nT02nH7bTdybTXZtpoPe2yGtaurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWruXt+4vlH17tsnZl7cralbUra1fWrqxdWbuydi33OQxrV9aurF1Zu/LxXGbtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cra9dHD715bu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuWrc+nfc+mTU+nHbfTdifTXptpo/W0y2pYu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuWt+8vln94tcvalbUra1fWrqxdWbuydmXtytq13OcwrF1Zu7J2Ze3Kx3OZtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra9fHX/OCa2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr17L1+bTv2bTp6bTjdtruZNprM220nnZZDWtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStr1/L2/cXyD692WbuydmXtytqVtStrV9aurF1Zu5b7HIa1K2tX1q6sXfl4LrN2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXt+vebX3ht7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze1atj6f9j2bNj2ddtxO251Me22mjdbTLqth7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze1a3r6/WP7h1S5rV9aurF1Zu7J2Ze3K2pW1K2vXcp/DsHZl7cralbUrH89l1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF2ffOmLrq1dWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXcvW59O+Z9Omp9OO22m7k2mvzbTRetplNaxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXcvb9xfLP7zaZe3K2pW1K2tX1q6sXVm7snZl7VrucxjWrqxdWbuyduXjuczalbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW16z+e93vX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9auZevzad+zadPTacfttN3JtNdm2mg97bIa1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9au5e37i+UfXu2ydmXtytqVtStrV9aurF1Zu7J2Lfc5DGtX1q6sXVm78vFcZu3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytp1500vvrZ2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydi1bn0/7nk2bnk47bqftTqa9NtNG62mX1bB2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydi1v318s//Bql7Ura1fWrqxdWbuydmXtytqVtWu5z2FYu7J2Ze3K2pWP5zJrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrv96ykuurV1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdy9bn075n06an047babuTaa/NtNF62mU1rF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdy9v3F8s/vNpl7cralbUra1fWrqxdWbuydmXtWu5zGNaurF1Zu7J25eO5zNqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbXrrie+9NralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2rVsfT7tezZtejrtuJ22O5n22kwbraddVsPalbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2rW8fX+x/MOrXdaurF1Zu7J2Ze3K2pW1K2tX1q7lPodh7cralbUra1c+nsusXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zuz792N+/tnZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LVufT/ueTZueTjtup+1Opr0200braZfVsHZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2LW/fXyz/8GqXtStrV9aurF1Zu7J2Ze3K2pW1a7nPYVi7snZl7cralY/nMmtX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9auzzzyZdfWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q5l6/Np37Np09Npx+203cm012baaD3tshrWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q7l7fuL5R9e7bJ2Ze3K2pW1K2tX1q6sXVm7snYt9zkMa1fWrqxdWbvy8Vxm7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2vXfD3v5tbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1a9n6fNr3bNr0dNpxO213Mu21mTZaT7ushrUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1a3n7/mL5h1e7rF1Zu7J2Ze3K2pW1K2tX1q6sXct9DsPalbUra1fWrnw8l1m7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2fe7Bf3Bt7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze3K2pW1K2tX1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze1atj6f9j2bNj2ddtxO251Me22mjdbTLqth7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF1Zu7J2Ze1a3r6/WP7h1S5rV9aurF1Zu7J2Ze3K2pW1K2vXcp/DsHZl7cralbUrH89l1q6sXVm7snZl7cralbUra1fWrqxdWbuydmXtytqVtStrV9aurF2fP//Da2tX1q6sXfz/UuH9+3icTdR7qNNlHMfxCU2TWHYZFbFKYibCjHRI1DYnidns0E3/KBMiDSntgimVGaQoYYVUZCQ5PXUsIVO7LAzCCwoGEhaWmVR2AQsjQUtC7WS294H39/c8f73+fB4+D+9cLpdb+/uxHSdrb0zoMrfngqPhv68/Eh5+3+Fwz3M/h5/c9EO4b//B8Bf9+8Onr94XLk/ZG75j3p7wolW7w+t37Ax/9du28JnCp+FR47aEp834KPzs0s3h9zZsCB/Ytz486HRfePTw3vDdk1eHlz76evj9114Nf7f1pfDgwy+Gx5y3PDxj7LLw8nsWh2cPWhjedvu8cHHtQ+E5R+8P77xxeviy5+8KP/btlPDuERPDpQW18Pxd1WTTSrJjOdmulOxVTDYqJLvkw2/v7d+u75xzNHx28KHwxnV7w9MnbA8PObQ5/PHC3vDMS14OD+ssDj/dOzP8zcGJ4esuGhF+4dbB4c+HfrlNL3nmlfAjP44MzxpW3Zq9vV3P/mGrof+a1Beuf/1TeOIH54/XR54YHV7R6AmPPWdu+OFfl4W337IyfOHGdeOz+3TCWx7fFT73wL7wvTf8Et7UPh7unqZ+98Mh4amzhoX/LV4afuezK8O3PXVN+NSoa8NvfT8uPGVFI3xi/KTwmuM94Zv7poWPTZ0RXpV/IHzTJ3PDfzw4P7zy8kXhq2YvCf/Zc3bHqTGrB1xa0B+evPpkeP6uE2HapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlXtnUt2beabFpJdiwn25WSvYrJRoVkl3yYdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admVvb9ezf9hqaNqlaZemXZp2adqlaZemXZp2adqV3acTpl2admnapWmX7p6mpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2adv0zsj1g2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2pVtXUv2rSabVpIdy8l2pWSvYrJRIdklH6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zd2dvb9ewfthqadmnapWmXpl2admnapWmXpl2admX36YRpl6ZdmnZp2qW7p6lpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6ZdmnZp2qVpl6Zd/VesGTDt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTtyrauJftWk00ryY7lZLtSslcx2aiQ7JIP0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL067s7e169g9bDU27NO3StEvTLk27NO3StEvTLk27svt0wrRL0y5NuzTt0t3T1LRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL0y5NuzTt0rRL064zF68dMO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3Ktq4l+1aTTSvJjuVku1KyVzHZqJDskg/TLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTruzt7Xr2D1sNTbs07dK0S9MuTbs07dK0S9MuTbuy+3TCtEvTLk27NO3S3dPUtEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTLk27NO3StEvTrv+G9g6YdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admVb15J9q8mmlWTHcrJdKdmrmGxUSHbJh2mXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlX9vZ2PfuHrYamXZp2adqlaZemXZp2adqlaZemXdl9OmHapWmXpl2adunuaWrapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlXLvfmgGmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWlXtnUt2beabFpJdiwn25WSvYrJRoVkl3yYdmnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admVvb9ezf9hqaNqlaZemXZp2adqlaZemXZp2adqV3acTpl2admnapWmX7p6mpl2admnapWmXpl2admnapWmXpl2admnapWmXpl2admnapWmXpl36f/K1n7E=BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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AQAAAACAAAAgZwAABxEAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_14_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="3434" NumberOfCells="3300" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="110001" RangeMax="121812" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="1.026" RangeMax="4.0014" offset="5080" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="6400" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0020218" RangeMax="0.0036495" offset="6896" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.067271" RangeMax="0.12143" offset="27896" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="4.1345047654" RangeMax="6.4133780525" offset="46460" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="58552" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="82464" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="88300" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAAAgZwAA0A4AAA==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eJzt2kErAwAcQPELrRw0xLZkEk0SVy5KO01NbNNykG1lyk5ToxRtF4WDlSlKhlBrceEikdhBTbY2jTblsgk5EIctEXH1/wjv9PsE7/a8riNPQK3s9CLiPw8zc1/ONkSUTNvGe7RWRJTM5xwb1x5ElKxydb/PBxBR0pSpnnTsIaKk26aIaRKIKOnPvdUmXxBRMtp3GtoqLUNEwcf0zsdACyJKKmzLxkojIkrq48OpBxciSjr6zI3rs4go6U13TPSHEFEyONh0oTxHRMl0LG/J3iOiZMGS3V4pKkdEQdVvKPWIKGnuWvXp9Igo6Y7NJO/siCjpt3galryIKBmN6HdHgogo+WRo/a47RkRJRUxjytwioqTOUry58IGIko7IVbNTU4GIgj7DyVRNOyJKrl2G4ykrIkr+bbxjiChZOBsK2xcRUVJl6P1U7yOipPlAO/2cQETJ0Y6Sm81XRJT8AVoWcfk=AQAAAACAAAAgZwAAcj0AAA==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AQAAAACAAAAgZwAAUDYAAA==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AgAAAACAAAD4IAAAZRsAAPEHAAA=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BAAAAACAAACAHAAAohUAAJoVAACcFQAAFgUAAA==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AQAAAACAAAAgZwAABxEAAA==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eJztwTENAAAAw6C7/g3PxwIUAADAjwE0gnQF
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_15_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="2278" NumberOfCells="2178" >
|
| 5 |
+
<PointData>
|
| 6 |
+
</PointData>
|
| 7 |
+
<CellData>
|
| 8 |
+
<DataArray type="Float64" Name="id" format="appended" RangeMin="110101" RangeMax="121878" offset="0" />
|
| 9 |
+
<DataArray type="Float64" Name="xc" format="appended" RangeMin="4.0314" RangeMax="5.985" offset="3448" />
|
| 10 |
+
<DataArray type="Float64" Name="yc" format="appended" RangeMin="4.024" RangeMax="4.985" offset="4348" />
|
| 11 |
+
<DataArray type="Float64" Name="c_6[1]" format="appended" RangeMin="0.0021346" RangeMax="0.0033693" offset="4812" />
|
| 12 |
+
<DataArray type="Float64" Name="c_6[2]" format="appended" RangeMin="0.071024" RangeMax="0.11211" offset="24520" />
|
| 13 |
+
</CellData>
|
| 14 |
+
<Points>
|
| 15 |
+
<DataArray type="Float32" Name="Points" NumberOfComponents="3" format="appended" RangeMin="5.6748189645" RangeMax="7.8102496759" offset="43984" />
|
| 16 |
+
</Points>
|
| 17 |
+
<Cells>
|
| 18 |
+
<DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="50640" />
|
| 19 |
+
<DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="66032" />
|
| 20 |
+
<DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="69932" />
|
| 21 |
+
</Cells>
|
| 22 |
+
</Piece>
|
| 23 |
+
</UnstructuredGrid>
|
| 24 |
+
<AppendedData encoding="base64">
|
| 25 |
+
_AQAAAACAAAAQRAAABgoAAA==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AQAAAACAAAAQRAAAjwIAAA==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AQAAAACAAAAQRAAASQEAAA==eJzt2U8rwwEcgPELrRw0xLZkEpHElctKO01NbD8tB5mVKTtNjVK0XRQOVqYoGUJpceEikdhBTSY02pTLJuRAHKZF/vy+b+M5fd7Ac3v8ngNfSK9t9SP+uZ+a/nY3I4pJ50iH0YEoZjOu1Rsfoljmaf+YCSGKtlT5mGsHUfQ6NXHDJaIYzLxXXr0iirGu4831wiJE1afkVq6nEVHUOBespVZE0XwxkHj0IIquLnvdyhSi6E+aRrs3EcVwb/2Z9hRRTMazSvoBUfxU0huLecWIqrr/MKoRRXvbUqDWjCh645NX932IYlDx1cz7EcVY1Lw9GEYUny1NP1WHiKImbrCl7hDFWiV/bTaHKLqi1w1uQwmiasByNF7Rgigun0cuEg5EUd2cw4ji50l/pG8OUdRZOr/0u4iifc848XKJKA6ZCm7X3hDFX6QXVXY=AQAAAACAAAAQRAAAqTkAAA==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AQAAAACAAAAQRAAA8zgAAA==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AQAAAACAAADIagAAbhMAAA==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AQAAAACAAAAQRAAAWQsAAA==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AQAAAACAAACCCAAAGQAAAA==eJzj5BwFo2AUjIJRMApGwSigNwAA+uhMkw==
|
| 26 |
+
</AppendedData>
|
| 27 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_1_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_2_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_300000.pvtu
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
<Piece Source="Lambda_4_300000.vtu"/>
|
| 21 |
+
<Piece Source="Lambda_5_300000.vtu"/>
|
| 22 |
+
<Piece Source="Lambda_6_300000.vtu"/>
|
| 23 |
+
<Piece Source="Lambda_7_300000.vtu"/>
|
| 24 |
+
<Piece Source="Lambda_8_300000.vtu"/>
|
| 25 |
+
<Piece Source="Lambda_9_300000.vtu"/>
|
| 26 |
+
<Piece Source="Lambda_10_300000.vtu"/>
|
| 27 |
+
<Piece Source="Lambda_11_300000.vtu"/>
|
| 28 |
+
<Piece Source="Lambda_12_300000.vtu"/>
|
| 29 |
+
<Piece Source="Lambda_13_300000.vtu"/>
|
| 30 |
+
<Piece Source="Lambda_14_300000.vtu"/>
|
| 31 |
+
<Piece Source="Lambda_15_300000.vtu"/>
|
| 32 |
+
</PUnstructuredGrid>
|
| 33 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_3_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_4_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_5_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_6_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_7_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_8_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/Lambda/Lambda_9_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/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/Kn0p12/simulation0164_Kn0p12Ma3p3/config.txt
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
variable BZ equal 1.380649E-23
|
| 2 |
+
variable PI equal 3.1415926536
|
| 3 |
+
variable molecular_mass equal 6.63E-26
|
| 4 |
+
variable molecular_diameter equal 4.17E-10
|
| 5 |
+
variable gamma equal 1.666666667
|
| 6 |
+
variable R equal ${BZ}/${molecular_mass}
|
| 7 |
+
variable L equal 1.0
|
| 8 |
+
variable xmin equal -5.0
|
| 9 |
+
variable xmax equal 6.0
|
| 10 |
+
variable ymin equal -5.0
|
| 11 |
+
variable ymax equal 5.0
|
| 12 |
+
variable Kn equal 0.12
|
| 13 |
+
variable Ma equal 3.3
|
| 14 |
+
variable To equal 273.0
|
| 15 |
+
variable Tb equal 273.0
|
| 16 |
+
variable theta equal 0.0
|
| 17 |
+
variable mfp equal ${Kn}*${L}
|
| 18 |
+
variable cpmfp equal 4
|
| 19 |
+
variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
|
| 20 |
+
variable sos equal sqrt(${gamma}*${R}*${To})
|
| 21 |
+
variable vo equal ${Ma}*${sos}
|
| 22 |
+
variable vx equal ${vo}*cos(${theta}*2*PI/360)
|
| 23 |
+
variable vy equal ${vo}*sin(${theta}*2*PI/360)
|
| 24 |
+
variable ppc equal 30
|
| 25 |
+
variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
|
| 26 |
+
variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
|
| 27 |
+
variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 28 |
+
variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
|
| 29 |
+
variable nave equal 10000
|
| 30 |
+
variable noutput equal 300000
|
| 31 |
+
clear
|
| 32 |
+
shell mkdir output
|
| 33 |
+
shell mkdir grid
|
| 34 |
+
shell mkdir surf
|
| 35 |
+
seed 7
|
| 36 |
+
dimension 2
|
| 37 |
+
global nrho ${nden}
|
| 38 |
+
global fnum ${Fnum}
|
| 39 |
+
timestep ${tstep}
|
| 40 |
+
global gridcut 1.0 particle/reorder 100 comm/sort yes
|
| 41 |
+
region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
|
| 42 |
+
region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
|
| 43 |
+
region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
|
| 44 |
+
boundary o o p
|
| 45 |
+
create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
|
| 46 |
+
create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
|
| 47 |
+
balance_grid rcb cell
|
| 48 |
+
species gas.species Ar
|
| 49 |
+
mixture air Ar frac 1.0
|
| 50 |
+
mixture air Ar vstream ${vx} ${vy} 0.0 temp ${To}
|
| 51 |
+
collide vss air gas.vhs
|
| 52 |
+
collide_modify vremax 100 yes remain no nearcp yes 10
|
| 53 |
+
read_surf cylinder.surf
|
| 54 |
+
surf_collide 1 diffuse 273.0 1.0
|
| 55 |
+
surf_modify all collide 1
|
| 56 |
+
fix in emit/face air xlo ylo yhi
|
| 57 |
+
balance_grid rcb cell
|
| 58 |
+
create_particles air n 0
|
| 59 |
+
stats 10000
|
| 60 |
+
stats_style step cpu np nattempt ncoll nscoll npave nscollave
|
| 61 |
+
run 200000
|
| 62 |
+
compute 1 grid all air n nrho massrho u v w
|
| 63 |
+
compute 2 grid all air trot
|
| 64 |
+
compute 3 tvib/grid all air
|
| 65 |
+
compute 4 thermal/grid all air press temp
|
| 66 |
+
fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 67 |
+
dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
|
| 68 |
+
dump_modify 1 format float %12.5g
|
| 69 |
+
compute 5 surf all air n press px py shx shy fx fy etot erot evib
|
| 70 |
+
fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
|
| 71 |
+
dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 72 |
+
dump_modify 2 format float %12.5g
|
| 73 |
+
compute 6 lambda/grid f_1[2] f_1[8] Ar kx
|
| 74 |
+
dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
|
| 75 |
+
dump_modify 3 format float %12.5g
|
| 76 |
+
run 100000
|
| 77 |
+
write_grid grid/final-grid.dat
|
| 78 |
+
write_surf surf/geom.surf
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/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/Kn0p12/simulation0164_Kn0p12Ma3p3/gas.species
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Species data
|
| 2 |
+
|
| 3 |
+
# species name
|
| 4 |
+
# molecular weight (atomic mass units, e.g. 16 for oxygen)
|
| 5 |
+
# molecular mass (kg)
|
| 6 |
+
# rotational degrees of freedom (integer, unitless)
|
| 7 |
+
# inverse rotational relaxtion number (unitless)
|
| 8 |
+
# vibrational degrees of freedom (integer, unitless)
|
| 9 |
+
# inverse vibrational relaxation number (unitless)
|
| 10 |
+
# vibrational temperature (K)
|
| 11 |
+
# species weight (unitless)
|
| 12 |
+
# multiple of electon charge (1 for a proton)
|
| 13 |
+
|
| 14 |
+
Ar 39.95 6.63E-26 0 0.0 0 0.0 0.0 1.0 0.0
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/gas.vhs
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# VHS collision model parameters for each species
|
| 2 |
+
|
| 3 |
+
# species name
|
| 4 |
+
# diameter (m)
|
| 5 |
+
# omega (unitless)
|
| 6 |
+
# tref (referenced temperature)
|
| 7 |
+
# alpha (unitless)
|
| 8 |
+
|
| 9 |
+
Ar 4.17e-10 0.81 273 1.0
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_0_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_10_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_11_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_12_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_13_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_14_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_15_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_1_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_2_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_300000.pvtu
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<VTKFile type="PUnstructuredGrid" version="0.1"
|
| 3 |
+
byte_order="LittleEndian"
|
| 4 |
+
compressor="vtkZLibDataCompressor">
|
| 5 |
+
<PUnstructuredGrid GhostLevel="0">
|
| 6 |
+
<PCellData>
|
| 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 |
+
<Piece Source="Grid_4_300000.vtu"/>
|
| 29 |
+
<Piece Source="Grid_5_300000.vtu"/>
|
| 30 |
+
<Piece Source="Grid_6_300000.vtu"/>
|
| 31 |
+
<Piece Source="Grid_7_300000.vtu"/>
|
| 32 |
+
<Piece Source="Grid_8_300000.vtu"/>
|
| 33 |
+
<Piece Source="Grid_9_300000.vtu"/>
|
| 34 |
+
<Piece Source="Grid_10_300000.vtu"/>
|
| 35 |
+
<Piece Source="Grid_11_300000.vtu"/>
|
| 36 |
+
<Piece Source="Grid_12_300000.vtu"/>
|
| 37 |
+
<Piece Source="Grid_13_300000.vtu"/>
|
| 38 |
+
<Piece Source="Grid_14_300000.vtu"/>
|
| 39 |
+
<Piece Source="Grid_15_300000.vtu"/>
|
| 40 |
+
</PUnstructuredGrid>
|
| 41 |
+
</VTKFile>
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_3_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_4_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_6_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_7_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_8_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/Grid_9_300000.vtu
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/grid/final-grid.dat
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/log.sparta
ADDED
|
@@ -0,0 +1,319 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
SPARTA (4 Sep 2024)
|
| 2 |
+
Running on 128 MPI task(s)
|
| 3 |
+
variable BZ equal 1.380649E-23
|
| 4 |
+
variable PI equal 3.1415926536
|
| 5 |
+
variable molecular_mass equal 6.63E-26
|
| 6 |
+
variable molecular_diameter equal 4.17E-10
|
| 7 |
+
variable gamma equal 1.666666667
|
| 8 |
+
variable R equal ${BZ}/${molecular_mass}
|
| 9 |
+
variable R equal 1.380649e-23/${molecular_mass}
|
| 10 |
+
variable R equal 1.380649e-23/6.63e-26
|
| 11 |
+
variable L equal 1.0
|
| 12 |
+
variable xmin equal -5.0
|
| 13 |
+
variable xmax equal 6.0
|
| 14 |
+
variable ymin equal -5.0
|
| 15 |
+
variable ymax equal 5.0
|
| 16 |
+
variable Kn equal 0.12
|
| 17 |
+
variable Ma equal 3.3
|
| 18 |
+
variable To equal 273.0
|
| 19 |
+
variable Tb equal 273.0
|
| 20 |
+
variable theta equal 0.0
|
| 21 |
+
variable mfp equal ${Kn}*${L}
|
| 22 |
+
variable mfp equal 0.12*${L}
|
| 23 |
+
variable mfp equal 0.12*1
|
| 24 |
+
variable cpmfp equal 4
|
| 25 |
+
variable nden equal 1.0/sqrt(2.0)/${PI}/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
|
| 26 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/${molecular_diameter}/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
|
| 27 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/${molecular_diameter}/(${mfp}/${cpmfp}*${Kn})
|
| 28 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(${mfp}/${cpmfp}*${Kn})
|
| 29 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/${cpmfp}*${Kn})
|
| 30 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*${Kn})
|
| 31 |
+
variable nden equal 1.0/sqrt(2.0)/3.1415926536/4.17e-10/4.17e-10/(0.12/4*0.12)
|
| 32 |
+
variable sos equal sqrt(${gamma}*${R}*${To})
|
| 33 |
+
variable sos equal sqrt(1.666666667*${R}*${To})
|
| 34 |
+
variable sos equal sqrt(1.666666667*208.242684766214*${To})
|
| 35 |
+
variable sos equal sqrt(1.666666667*208.242684766214*273)
|
| 36 |
+
variable vo equal ${Ma}*${sos}
|
| 37 |
+
variable vo equal 3.3*${sos}
|
| 38 |
+
variable vo equal 3.3*307.815564238681
|
| 39 |
+
variable vx equal ${vo}*cos(${theta}*2*PI/360)
|
| 40 |
+
variable vx equal 1015.79136198765*cos(${theta}*2*PI/360)
|
| 41 |
+
variable vx equal 1015.79136198765*cos(0*2*PI/360)
|
| 42 |
+
variable vy equal ${vo}*sin(${theta}*2*PI/360)
|
| 43 |
+
variable vy equal 1015.79136198765*sin(${theta}*2*PI/360)
|
| 44 |
+
variable vy equal 1015.79136198765*sin(0*2*PI/360)
|
| 45 |
+
variable ppc equal 30
|
| 46 |
+
variable xncells equal (${xmax}-${xmin})/${mfp}*${cpmfp}
|
| 47 |
+
variable xncells equal (6-${xmin})/${mfp}*${cpmfp}
|
| 48 |
+
variable xncells equal (6--5)/${mfp}*${cpmfp}
|
| 49 |
+
variable xncells equal (6--5)/0.12*${cpmfp}
|
| 50 |
+
variable xncells equal (6--5)/0.12*4
|
| 51 |
+
variable yncells equal (${ymax}-${ymin})/${mfp}*${cpmfp}
|
| 52 |
+
variable yncells equal (5-${ymin})/${mfp}*${cpmfp}
|
| 53 |
+
variable yncells equal (5--5)/${mfp}*${cpmfp}
|
| 54 |
+
variable yncells equal (5--5)/0.12*${cpmfp}
|
| 55 |
+
variable yncells equal (5--5)/0.12*4
|
| 56 |
+
variable Fnum equal ${nden}*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 57 |
+
variable Fnum equal 3.59551014725462e+20*(${xmax}-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 58 |
+
variable Fnum equal 3.59551014725462e+20*(6-${xmin})*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 59 |
+
variable Fnum equal 3.59551014725462e+20*(6--5)*(${ymax}-${ymin})/${ppc}/${xncells}/${yncells}
|
| 60 |
+
variable Fnum equal 3.59551014725462e+20*(6--5)*(5-${ymin})/${ppc}/${xncells}/${yncells}
|
| 61 |
+
variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/${ppc}/${xncells}/${yncells}
|
| 62 |
+
variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/${xncells}/${yncells}
|
| 63 |
+
variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/${yncells}
|
| 64 |
+
variable Fnum equal 3.59551014725462e+20*(6--5)*(5--5)/30/366.666666666667/333.333333333333
|
| 65 |
+
variable tstep equal (-${xmin}+${xmax})/${vx}/${xncells}/10/4
|
| 66 |
+
variable tstep equal (--5+${xmax})/${vx}/${xncells}/10/4
|
| 67 |
+
variable tstep equal (--5+6)/${vx}/${xncells}/10/4
|
| 68 |
+
variable tstep equal (--5+6)/1015.79136198765/${xncells}/10/4
|
| 69 |
+
variable tstep equal (--5+6)/1015.79136198765/366.666666666667/10/4
|
| 70 |
+
variable nave equal 10000
|
| 71 |
+
variable noutput equal 300000
|
| 72 |
+
clear
|
| 73 |
+
Running on 128 MPI task(s)
|
| 74 |
+
shell mkdir output
|
| 75 |
+
shell mkdir grid
|
| 76 |
+
shell mkdir surf
|
| 77 |
+
seed 7
|
| 78 |
+
dimension 2
|
| 79 |
+
global nrho ${nden}
|
| 80 |
+
global nrho 3.59551014725462e+20
|
| 81 |
+
global fnum ${Fnum}
|
| 82 |
+
global fnum 1.07865304417639e+16
|
| 83 |
+
timestep ${tstep}
|
| 84 |
+
timestep 7.38340596372504e-07
|
| 85 |
+
global gridcut 1.0 particle/reorder 100 comm/sort yes
|
| 86 |
+
region 1 cylinder z 0.0 0.0 3.50 -0.5 0.5
|
| 87 |
+
region 2 cylinder z 0.0 0.0 2.00 -0.5 0.5
|
| 88 |
+
region 3 cylinder z 0.0 0.0 0.80 -0.5 0.5
|
| 89 |
+
boundary o o p
|
| 90 |
+
create_box ${xmin} ${xmax} ${ymin} ${ymax} -0.5 0.5
|
| 91 |
+
create_box -5 ${xmax} ${ymin} ${ymax} -0.5 0.5
|
| 92 |
+
create_box -5 6 ${ymin} ${ymax} -0.5 0.5
|
| 93 |
+
create_box -5 6 -5 ${ymax} -0.5 0.5
|
| 94 |
+
create_box -5 6 -5 5 -0.5 0.5
|
| 95 |
+
Created orthogonal box = (-5 -5 -0.5) to (6 5 0.5)
|
| 96 |
+
create_grid ${xncells} ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
|
| 97 |
+
create_grid 366.666666666667 ${yncells} 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
|
| 98 |
+
create_grid 366.666666666667 333.333333333333 1 levels 4 region 2 1 2 2 1 region 3 2 2 2 1 region 4 3 2 2 1 clump xyz
|
| 99 |
+
Created 528090 child grid cells
|
| 100 |
+
CPU time = 0.570555 secs
|
| 101 |
+
create/ghost percent = 0.506919 99.4931
|
| 102 |
+
balance_grid rcb cell
|
| 103 |
+
Balance grid migrated 527129 cells
|
| 104 |
+
CPU time = 0.590482 secs
|
| 105 |
+
reassign/sort/migrate/ghost percent = 55.9937 0.0397861 4.0856 39.8809
|
| 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 1015.79136198765 ${vy} 0.0 temp ${To}
|
| 110 |
+
mixture air Ar vstream 1015.79136198765 0 0.0 temp ${To}
|
| 111 |
+
mixture air Ar vstream 1015.79136198765 0 0.0 temp 273
|
| 112 |
+
collide vss air gas.vhs
|
| 113 |
+
collide_modify vremax 100 yes remain no nearcp yes 10
|
| 114 |
+
read_surf cylinder.surf
|
| 115 |
+
200 lines
|
| 116 |
+
-0.5 0.5 xlo xhi
|
| 117 |
+
-0.5 0.5 ylo yhi
|
| 118 |
+
0 0 zlo zhi
|
| 119 |
+
0.0157073 min line length
|
| 120 |
+
1068 0 = cells overlapping surfs, overlap cells with unmarked corner pts
|
| 121 |
+
471864 55158 1068 = cells outside/inside/overlapping surfs
|
| 122 |
+
1068 = surf cells with 1,2,etc splits
|
| 123 |
+
109.215 109.215 = cell-wise and global flow volume
|
| 124 |
+
CPU time = 0.327898 secs
|
| 125 |
+
read/check/sort/surf2grid/ghost/inout/particle percent = 6.55105 6.89533 1.01446 12.6147 72.9245 2.13629 0.035014
|
| 126 |
+
surf2grid time = 0.0413632 secs
|
| 127 |
+
map/comm1/comm2/comm3/comm4/split percent = 31.3725 15.1423 14.1128 1.10288 6.74143 3.80313
|
| 128 |
+
surf_collide 1 diffuse 273.0 1.0
|
| 129 |
+
surf_modify all collide 1
|
| 130 |
+
fix in emit/face air xlo ylo yhi
|
| 131 |
+
balance_grid rcb cell
|
| 132 |
+
Balance grid migrated 4498 cells
|
| 133 |
+
CPU time = 0.252571 secs
|
| 134 |
+
reassign/sort/migrate/ghost percent = 1.79435 0.0268836 3.79224 94.3865
|
| 135 |
+
create_particles air n 0
|
| 136 |
+
WARNING: Created unexpected # of particles: 3640487 versus 3640491 (../create_particles.cpp:346)
|
| 137 |
+
Created 3640487 particles
|
| 138 |
+
CPU time = 0.0565783 secs
|
| 139 |
+
stats 10000
|
| 140 |
+
stats_style step cpu np nattempt ncoll nscoll npave nscollave
|
| 141 |
+
run 200000
|
| 142 |
+
Memory usage per proc in Mbytes:
|
| 143 |
+
particles (ave,min,max) = 3.82324 0 13.5
|
| 144 |
+
grid (ave,min,max) = 18.2252 2.45129 34.8263
|
| 145 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 146 |
+
total (ave,min,max) = 22.0691 9.59689 43.2844
|
| 147 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 148 |
+
0 0 3640487 0 0 0 0 0
|
| 149 |
+
10000 131.13453 3688129 212384 176504 28 3647636.8 34.2236
|
| 150 |
+
20000 332.99632 3914936 240176 201863 29 3737581.5 34.3303
|
| 151 |
+
30000 558.47101 3968200 246110 207302 39 3807870.7 34.425067
|
| 152 |
+
40000 789.07187 3981535 246680 207818 39 3850096.4 34.535475
|
| 153 |
+
50000 1021.8848 3984134 246742 207991 41 3876704 34.58466
|
| 154 |
+
60000 1255.1038 3986317 247259 208422 44 3894679.3 34.631367
|
| 155 |
+
70000 1489.266 3985912 247570 208581 33 3907830.7 34.665657
|
| 156 |
+
80000 1721.7379 3984749 247915 209298 38 3917521.1 34.68975
|
| 157 |
+
90000 1954.4003 3987539 247669 209046 34 3925150.2 34.718622
|
| 158 |
+
100000 2188.7505 3987629 247876 209003 37 3931508.1 34.73398
|
| 159 |
+
110000 2422.3786 3986114 247511 208848 33 3936571.1 34.753727
|
| 160 |
+
120000 2655.5655 3986417 247711 208821 29 3940811.4 34.772608
|
| 161 |
+
130000 2888.5446 3984341 247185 208475 31 3944257.6 34.768862
|
| 162 |
+
140000 3122.3133 3985673 247485 208469 33 3947158.6 34.77595
|
| 163 |
+
150000 3355.9624 3986691 247346 208829 38 3949763.8 34.789547
|
| 164 |
+
160000 3589.1062 3987512 247377 208743 31 3952095.8 34.796237
|
| 165 |
+
170000 3821.8497 3986245 247137 208171 47 3954142.4 34.812665
|
| 166 |
+
180000 4055.4939 3988254 247722 208522 36 3955958.5 34.817972
|
| 167 |
+
190000 4289.0716 3983923 247517 208682 46 3957547.2 34.819242
|
| 168 |
+
200000 4520.4255 3987221 247441 208421 33 3958984.8 34.82142
|
| 169 |
+
Loop time of 4520.43 on 128 procs for 200000 steps with 3987221 particles
|
| 170 |
+
|
| 171 |
+
MPI task timing breakdown:
|
| 172 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 173 |
+
---------------------------------------------------------------
|
| 174 |
+
Move | 0.036924 | 138.49 | 722.42 |1342.8 | 3.06
|
| 175 |
+
Coll | 2.6132 | 344.86 | 3112.7 |2990.1 | 7.63
|
| 176 |
+
Sort | 1.923 | 98.726 | 491.83 |1225.3 | 2.18
|
| 177 |
+
Comm | 146.93 | 182.13 | 199.12 | 89.6 | 4.03
|
| 178 |
+
Modify | 0.046124 | 0.73094 | 12.069 | 192.3 | 0.02
|
| 179 |
+
Output | 0.060644 | 0.32432 | 0.36436 | 10.3 | 0.01
|
| 180 |
+
Other | | 3755 | | | 83.07
|
| 181 |
+
|
| 182 |
+
Particle moves = 791796957659 (792B)
|
| 183 |
+
Cells touched = 829159630618 (829B)
|
| 184 |
+
Particle comms = 584076933 (584M)
|
| 185 |
+
Boundary collides = 0 (0K)
|
| 186 |
+
Boundary exits = 59951285 (60M)
|
| 187 |
+
SurfColl checks = 271483631 (271M)
|
| 188 |
+
SurfColl occurs = 6964284 (6.96M)
|
| 189 |
+
Surf reactions = 0 (0K)
|
| 190 |
+
Collide attempts = 56361124824 (56.4B)
|
| 191 |
+
Collide occurs = 42252843065 (42.3B)
|
| 192 |
+
Reactions = 0 (0K)
|
| 193 |
+
Particles stuck = 0
|
| 194 |
+
Axisymm bad moves = 0
|
| 195 |
+
|
| 196 |
+
Particle-moves/CPUsec/proc: 1.36843e+06
|
| 197 |
+
Particle-moves/step: 3.95898e+06
|
| 198 |
+
Cell-touches/particle/step: 1.04719
|
| 199 |
+
Particle comm iterations/step: 1
|
| 200 |
+
Particle fraction communicated: 0.00073766
|
| 201 |
+
Particle fraction colliding with boundary: 0
|
| 202 |
+
Particle fraction exiting boundary: 7.57155e-05
|
| 203 |
+
Surface-checks/particle/step: 0.00034287
|
| 204 |
+
Surface-collisions/particle/step: 8.79554e-06
|
| 205 |
+
Surf-reactions/particle/step: 0
|
| 206 |
+
Collision-attempts/particle/step: 0.0711813
|
| 207 |
+
Collisions/particle/step: 0.0533632
|
| 208 |
+
Reactions/particle/step: 0
|
| 209 |
+
|
| 210 |
+
Particles: 31150.2 ave 194786 max 0 min
|
| 211 |
+
Histogram: 84 14 4 7 6 5 4 0 0 4
|
| 212 |
+
Cells: 4125.7 ave 4126 max 4125 min
|
| 213 |
+
Histogram: 38 0 0 0 0 0 0 0 0 90
|
| 214 |
+
GhostCell: 105920 ave 194636 max 5730 min
|
| 215 |
+
Histogram: 24 7 11 10 18 2 6 4 16 30
|
| 216 |
+
EmptyCell: 0 ave 0 max 0 min
|
| 217 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 218 |
+
Surfs: 200 ave 200 max 200 min
|
| 219 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 220 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 221 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 222 |
+
compute 1 grid all air n nrho massrho u v w
|
| 223 |
+
compute 2 grid all air trot
|
| 224 |
+
compute 3 tvib/grid all air
|
| 225 |
+
compute 4 thermal/grid all air press temp
|
| 226 |
+
fix 1 ave/grid all 1 ${nave} ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 227 |
+
fix 1 ave/grid all 1 10000 ${nave} c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 228 |
+
fix 1 ave/grid all 1 10000 10000 c_1[*] c_4[*] c_2[*] c_3[*] ave running
|
| 229 |
+
dump 1 grid all ${noutput} output/grid.*.dat id xc yc f_1[*]
|
| 230 |
+
dump 1 grid all 300000 output/grid.*.dat id xc yc f_1[*]
|
| 231 |
+
dump_modify 1 format float %12.5g
|
| 232 |
+
compute 5 surf all air n press px py shx shy fx fy etot erot evib
|
| 233 |
+
fix 2 ave/surf all 1 ${nave} ${nave} c_5[*] ave running
|
| 234 |
+
fix 2 ave/surf all 1 10000 ${nave} c_5[*] ave running
|
| 235 |
+
fix 2 ave/surf all 1 10000 10000 c_5[*] ave running
|
| 236 |
+
dump 2 surf all ${noutput} output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 237 |
+
dump 2 surf all 300000 output/surf.*.dat id v1x v1y v2x v2y f_2[*]
|
| 238 |
+
dump_modify 2 format float %12.5g
|
| 239 |
+
compute 6 lambda/grid f_1[2] f_1[8] Ar kx
|
| 240 |
+
dump 3 grid all ${noutput} output/lambdakn.*.dat id xc yc c_6[*]
|
| 241 |
+
dump 3 grid all 300000 output/lambdakn.*.dat id xc yc c_6[*]
|
| 242 |
+
dump_modify 3 format float %12.5g
|
| 243 |
+
run 100000
|
| 244 |
+
Memory usage per proc in Mbytes:
|
| 245 |
+
particles (ave,min,max) = 4.35059 0 20.25
|
| 246 |
+
grid (ave,min,max) = 18.2252 2.45129 34.8263
|
| 247 |
+
surf (ave,min,max) = 0.0205994 0.0205994 0.0205994
|
| 248 |
+
total (ave,min,max) = 23.9816 10.982 44.6695
|
| 249 |
+
Step CPU Np Natt Ncoll Nscoll Npave Nscollave
|
| 250 |
+
200000 0 3987221 247441 208421 0 0 0
|
| 251 |
+
210000 352.59003 3987078 247635 208390 30 3987596.7 34.943
|
| 252 |
+
220000 705.65985 3985689 247176 208236 38 3986443.7 34.94955
|
| 253 |
+
230000 1058.3587 3985399 247399 208788 41 3986259.2 34.919667
|
| 254 |
+
240000 1411.4456 3984104 246607 208081 36 3985959.3 34.90975
|
| 255 |
+
250000 1764.503 3985565 247143 208361 40 3985779.6 34.90706
|
| 256 |
+
260000 2116.7775 3985119 247052 208382 42 3985717.2 34.9126
|
| 257 |
+
270000 2471.6665 3986842 247313 208548 46 3985956.7 34.905514
|
| 258 |
+
280000 2825.1692 3985107 247288 208711 32 3985945.2 34.911575
|
| 259 |
+
290000 3178.5311 3985942 247622 208847 26 3985878.9 34.8966
|
| 260 |
+
300000 3532.0911 3988616 247709 208907 33 3986165.1 34.9048
|
| 261 |
+
Loop time of 3532.09 on 128 procs for 100000 steps with 3988616 particles
|
| 262 |
+
|
| 263 |
+
MPI task timing breakdown:
|
| 264 |
+
Section | min time | avg time | max time |%varavg| %total
|
| 265 |
+
---------------------------------------------------------------
|
| 266 |
+
Move | 0.046516 | 71.082 | 371.28 | 938.7 | 2.01
|
| 267 |
+
Coll | 1.4203 | 187.59 | 1814.8 |2230.2 | 5.31
|
| 268 |
+
Sort | 5.9023 | 59.526 | 273.74 | 859.3 | 1.69
|
| 269 |
+
Comm | 82.874 | 104.64 | 114.42 | 68.6 | 2.96
|
| 270 |
+
Modify | 33.247 | 191.22 | 941.34 |1575.3 | 5.41
|
| 271 |
+
Output | 0.19485 | 0.19636 | 0.20014 | 0.3 | 0.01
|
| 272 |
+
Other | | 2918 | | | 82.61
|
| 273 |
+
|
| 274 |
+
Particle moves = 398616511205 (399B)
|
| 275 |
+
Cells touched = 417384746146 (417B)
|
| 276 |
+
Particle comms = 293327773 (293M)
|
| 277 |
+
Boundary collides = 0 (0K)
|
| 278 |
+
Boundary exits = 30145801 (30.1M)
|
| 279 |
+
SurfColl checks = 136345762 (136M)
|
| 280 |
+
SurfColl occurs = 3490480 (3.49M)
|
| 281 |
+
Surf reactions = 0 (0K)
|
| 282 |
+
Collide attempts = 28702625678 (28.7B)
|
| 283 |
+
Collide occurs = 21507503247 (21.5B)
|
| 284 |
+
Reactions = 0 (0K)
|
| 285 |
+
Particles stuck = 0
|
| 286 |
+
Axisymm bad moves = 0
|
| 287 |
+
|
| 288 |
+
Particle-moves/CPUsec/proc: 881685
|
| 289 |
+
Particle-moves/step: 3.98617e+06
|
| 290 |
+
Cell-touches/particle/step: 1.04708
|
| 291 |
+
Particle comm iterations/step: 1
|
| 292 |
+
Particle fraction communicated: 0.000735865
|
| 293 |
+
Particle fraction colliding with boundary: 0
|
| 294 |
+
Particle fraction exiting boundary: 7.56261e-05
|
| 295 |
+
Surface-checks/particle/step: 0.000342047
|
| 296 |
+
Surface-collisions/particle/step: 8.75649e-06
|
| 297 |
+
Surf-reactions/particle/step: 0
|
| 298 |
+
Collision-attempts/particle/step: 0.0720056
|
| 299 |
+
Collisions/particle/step: 0.0539554
|
| 300 |
+
Reactions/particle/step: 0
|
| 301 |
+
|
| 302 |
+
Particles: 31161.1 ave 195528 max 0 min
|
| 303 |
+
Histogram: 84 14 4 7 7 4 4 0 0 4
|
| 304 |
+
Cells: 4125.7 ave 4126 max 4125 min
|
| 305 |
+
Histogram: 38 0 0 0 0 0 0 0 0 90
|
| 306 |
+
GhostCell: 105920 ave 194636 max 5730 min
|
| 307 |
+
Histogram: 24 7 11 10 18 2 6 4 16 30
|
| 308 |
+
EmptyCell: 0 ave 0 max 0 min
|
| 309 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 310 |
+
Surfs: 200 ave 200 max 200 min
|
| 311 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 312 |
+
GhostSurf: 0 ave 0 max 0 min
|
| 313 |
+
Histogram: 128 0 0 0 0 0 0 0 0 0
|
| 314 |
+
write_grid grid/final-grid.dat
|
| 315 |
+
grid cells = 528090
|
| 316 |
+
CPU time = 0.0725961 secs
|
| 317 |
+
write_surf surf/geom.surf
|
| 318 |
+
surf elements = 200
|
| 319 |
+
CPU time = 0.00599393 secs
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/mir.txt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
dimension 2
|
| 2 |
+
create_box -5.0 6.0 -5.0 5.0 -0.5 0.5
|
| 3 |
+
read_grid grid/final-grid.dat
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/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 0.01836 0.7293 -0.72921 0.011455 0.00024767 0.015766 -0.01145 0.00042757 26.224 0 0
|
| 11 |
+
129 -0.31871 0.38526 -0.30645 0.39508 0.28009 11.132 6.9602 -8.6878 0.92147 0.73824 0.1238 -0.12487 704.6 0 0
|
| 12 |
+
2 0.49975 -0.015705 0.49901 -0.031395 0.0194 0.75192 -0.75109 0.03542 -0.00097361 -0.020645 -0.011813 0.00023208 29.66 0 0
|
| 13 |
+
130 -0.30645 0.39508 -0.29389 0.40451 0.26526 10.588 6.3572 -8.467 0.94566 0.71002 0.11471 -0.12184 716.45 0 0
|
| 14 |
+
3 0.49901 -0.031395 0.49778 -0.047054 0.01994 0.77154 -0.76916 0.060534 -0.0011438 -0.014534 -0.012099 0.00072255 30.038 0 0
|
| 15 |
+
131 -0.29389 0.40451 -0.28104 0.41354 0.25469 10.138 5.8296 -8.2946 0.97523 0.6854 0.10688 -0.11952 688.72 0 0
|
| 16 |
+
4 0.49778 -0.047054 0.49606 -0.062667 0.0186 0.7191 -0.71476 0.07891 -0.0017141 -0.015526 -0.011254 0.00099559 30.271 0 0
|
| 17 |
+
132 -0.28104 0.41354 -0.26791 0.42216 0.24165 9.6262 5.285 -8.0456 0.98164 0.64482 0.098432 -0.11625 616.56 0 0
|
| 18 |
+
5 0.49606 -0.062667 0.49384 -0.078217 0.01901 0.7449 -0.73747 0.10496 -0.0035821 -0.025169 -0.01164 0.0012533 27.183 0 0
|
| 19 |
+
133 -0.26791 0.42216 -0.25452 0.43037 0.22776 9.0393 4.723 -7.7073 0.98754 0.60516 0.089698 -0.11156 610.57 0 0
|
| 20 |
+
6 0.49384 -0.078217 0.49114 -0.093691 0.01754 0.6755 -0.66544 0.11614 -0.0039834 -0.022824 -0.010515 0.0014657 26.745 0 0
|
| 21 |
+
134 -0.25452 0.43037 -0.24088 0.43815 0.21395 8.5195 4.2211 -7.4003 0.94165 0.53711 0.081092 -0.1078 566.34 0 0
|
| 22 |
+
7 0.49114 -0.093691 0.48796 -0.10907 0.01815 0.70607 -0.6914 0.14318 -0.0016614 -0.0080227 -0.010886 0.002123 25.533 0 0
|
| 23 |
+
135 -0.24088 0.43815 -0.227 0.4455 0.20133 8.0088 3.7476 -7.0779 0.9151 0.48452 0.073238 -0.10356 519.15 0 0
|
| 24 |
+
8 0.48796 -0.10907 0.48429 -0.12434 0.01767 0.69142 -0.67231 0.16141 -0.0076418 -0.03183 -0.01068 0.0020353 32.615 0 0
|
| 25 |
+
136 -0.227 0.4455 -0.21289 0.45241 0.19022 7.5798 3.3347 -6.8069 0.96392 0.47222 0.067519 -0.099501 517.35 0 0
|
| 26 |
+
9 0.48429 -0.12434 0.48015 -0.1395 0.01688 0.64995 -0.62692 0.17151 -0.0045956 -0.016799 -0.0099194 0.00243 21.182 0 0
|
| 27 |
+
137 -0.21289 0.45241 -0.19857 0.45888 0.17915 7.1195 2.9298 -6.4887 0.93259 0.42108 0.060667 -0.095307 481.91 0 0
|
| 28 |
+
10 0.48015 -0.1395 0.47553 -0.15451 0.01732 0.66156 -0.63232 0.19453 -0.010703 -0.034791 -0.0101 0.002509 18.832 0 0
|
| 29 |
+
138 -0.19857 0.45888 -0.18406 0.46489 0.16889 6.701 2.5644 -6.191 0.90982 0.37686 0.05457 -0.091324 449.52 0 0
|
| 30 |
+
11 0.47553 -0.15451 0.47044 -0.16937 0.01662 0.63955 -0.60507 0.20716 -0.0065029 -0.018993 -0.0096062 0.0029556 26.536 0 0
|
| 31 |
+
139 -0.18406 0.46489 -0.16937 0.47044 0.15646 6.2326 2.2031 -5.8303 0.97691 0.36914 0.049949 -0.08578 435.39 0 0
|
| 32 |
+
12 0.47044 -0.16937 0.46489 -0.18406 0.01613 0.6277 -0.58718 0.22188 -0.0032697 -0.0086531 -0.0092743 0.0033492 25.842 0 0
|
| 33 |
+
140 -0.16937 0.47044 -0.15451 0.47553 0.14687 5.8036 1.8799 -5.4907 0.86599 0.29649 0.04313 -0.081587 404.55 0 0
|
| 34 |
+
13 0.46489 -0.18406 0.45888 -0.19857 0.01555 0.58927 -0.54442 0.2255 -0.0034389 -0.0083021 -0.0086053 0.0034117 20.515 0 0
|
| 35 |
+
141 -0.15451 0.47553 -0.1395 0.48015 0.13797 5.4784 1.6109 -5.2362 0.90234 0.2776 0.039476 -0.077887 393.77 0 0
|
| 36 |
+
14 0.45888 -0.19857 0.45241 -0.21289 0.01493 0.57013 -0.51962 0.23462 -0.0037018 -0.0081985 -0.00822 0.0035564 24.347 0 0
|
| 37 |
+
142 -0.1395 0.48015 -0.12434 0.48429 0.13002 5.1409 1.3565 -4.9587 0.84992 0.23251 0.034658 -0.074236 355.09 0 0
|
| 38 |
+
15 0.45241 -0.21289 0.4455 -0.227 0.0144 0.55746 -0.50061 0.24525 -0.00050173 -0.0010242 -0.0078711 0.0038361 27.743 0 0
|
| 39 |
+
143 -0.12434 0.48429 -0.10907 0.48796 0.11915 4.7377 1.106 -4.6068 0.83577 0.20065 0.0305 -0.069209 326.58 0 0
|
| 40 |
+
16 0.4455 -0.227 0.43815 -0.24088 0.01387 0.52607 -0.46492 0.24616 0.0019724 0.0037251 -0.0072717 0.0039251 26.983 0 0
|
| 41 |
+
144 -0.10907 0.48796 -0.093691 0.49114 0.11272 4.4796 0.9084 -4.3865 0.80357 0.16641 0.02689 -0.066286 295.61 0 0
|
| 42 |
+
17 0.43815 -0.24088 0.43037 -0.25452 0.01318 0.50236 -0.43637 0.2489 -0.00148 -0.0025947 -0.0068774 0.0038688 21.246 0 0
|
| 43 |
+
145 -0.093691 0.49114 -0.078217 0.49384 0.10246 4.0611 0.69821 -4.0006 0.76124 0.13286 0.022924 -0.060752 295.22 0 0
|
| 44 |
+
18 0.43037 -0.25452 0.42216 -0.26791 0.01235 0.46552 -0.39692 0.24323 0.014407 0.02351 -0.0060082 0.0041898 23.744 0 0
|
| 45 |
+
146 -0.078217 0.49384 -0.062667 0.49606 0.09726 3.8435 0.54155 -3.8052 0.77022 0.10962 0.020604 -0.058047 269.89 0 0
|
| 46 |
+
19 0.42216 -0.26791 0.41354 -0.28104 0.01123 0.42063 -0.35157 0.23094 0.014915 0.022705 -0.0052879 0.003984 22.5 0 0
|
| 47 |
+
147 -0.062667 0.49606 -0.047054 0.49778 0.08814 3.4865 0.38259 -3.4655 0.73242 0.08086 0.017514 -0.053163 226.33 0 0
|
| 48 |
+
20 0.41354 -0.28104 0.40451 -0.29389 0.01088 0.39735 -0.32509 0.22848 0.026891 0.038262 -0.004684 0.0041898 20.793 0 0
|
| 49 |
+
148 -0.047054 0.49778 -0.031395 0.49901 0.08181 3.2289 0.25333 -3.2189 0.68966 0.054277 0.014812 -0.049708 239.21 0 0
|
| 50 |
+
21 0.40451 -0.29389 0.39508 -0.30645 0.0104 0.37724 -0.30167 0.2265 0.026151 0.034829 -0.0043277 0.0041048 19.754 0 0
|
| 51 |
+
149 -0.031395 0.49901 -0.015705 0.49975 0.07725 3.0271 0.1426 -3.0237 0.68946 0.032514 0.013069 -0.046984 223.34 0 0
|
| 52 |
+
22 0.39508 -0.30645 0.38526 -0.31871 0.00991 0.36815 -0.28732 0.23018 0.038036 0.047476 -0.0039155 0.0043613 20.268 0 0
|
| 53 |
+
150 -0.015705 0.49975 0 0.5 0.07098 2.791 0.043839 -2.7907 0.67053 0.010533 0.011221 -0.043668 199.99 0 0
|
| 54 |
+
23 0.38526 -0.31871 0.37506 -0.33066 0.00928 0.34743 -0.26419 0.22564 0.055311 0.064761 -0.0032809 0.0045614 18.669 0 0
|
| 55 |
+
151 0 0.5 0.015705 0.49975 0.06587 2.5809 -0.04054 -2.5806 0.63736 -0.010012 0.0093744 -0.040692 192.5 0 0
|
| 56 |
+
24 0.37506 -0.33066 0.36448 -0.34227 0.00928 0.33738 -0.24954 0.22706 0.060337 0.066309 -0.0029718 0.0046081 20.37 0 0
|
| 57 |
+
152 0.015705 0.49975 0.031395 0.49901 0.06062 2.3822 -0.11222 -2.3795 0.62481 -0.029465 0.0080514 -0.037839 174.98 0 0
|
| 58 |
+
25 0.36448 -0.34227 0.35355 -0.35355 0.00888 0.32046 -0.23013 0.22301 0.071677 0.073965 -0.0024889 0.0046647 24.065 0 0
|
| 59 |
+
153 0.031395 0.49901 0.047054 0.49778 0.05598 2.1717 -0.17039 -2.165 0.56951 -0.044821 0.006269 -0.03471 151.5 0 0
|
| 60 |
+
26 0.35355 -0.35355 0.34227 -0.36448 0.00902 0.31624 -0.22007 0.2271 0.087161 0.084465 -0.0020877 0.0048938 26.294 0 0
|
| 61 |
+
154 0.047054 0.49778 0.062667 0.49606 0.04917 1.9358 -0.21242 -1.9241 0.53594 -0.059168 0.0050816 -0.031152 155.43 0 0
|
| 62 |
+
27 0.34227 -0.36448 0.33066 -0.37506 0.00949 0.34532 -0.23241 0.25541 0.10117 0.092055 -0.0020614 0.0054578 22.185 0 0
|
| 63 |
+
155 0.062667 0.49606 0.078217 0.49384 0.0458 1.7781 -0.25054 -1.7604 0.52213 -0.074311 0.004266 -0.028818 125.05 0 0
|
| 64 |
+
28 0.33066 -0.37506 0.31871 -0.38526 0.00976 0.34894 -0.22662 0.26533 0.11855 0.10125 -0.0016974 0.0057581 27.283 0 0
|
| 65 |
+
156 0.078217 0.49384 0.093691 0.49114 0.04235 1.6446 -0.28275 -1.6201 0.47258 -0.082479 0.0029818 -0.026743 128.94 0 0
|
| 66 |
+
29 0.31871 -0.38526 0.30645 -0.39508 0.00966 0.35142 -0.21972 0.27426 0.12794 0.1025 -0.0014416 0.0059178 32.204 0 0
|
| 67 |
+
157 0.093691 0.49114 0.10907 0.48796 0.03819 1.4858 -0.3013 -1.4549 0.44577 -0.092315 0.0022692 -0.024303 112.41 0 0
|
| 68 |
+
30 0.30645 -0.39508 0.29389 -0.40451 0.01046 0.38116 -0.22886 0.30481 0.13049 0.097972 -0.0015451 0.0063266 25.193 0 0
|
| 69 |
+
158 0.10907 0.48796 0.12434 0.48429 0.03471 1.3379 -0.31234 -1.301 0.42276 -0.1015 0.0017344 -0.022029 102.63 0 0
|
| 70 |
+
31 0.29389 -0.40451 0.28104 -0.41354 0.01106 0.40294 -0.23169 0.32966 0.1484 0.10429 -0.0013084 0.0068163 31.185 0 0
|
| 71 |
+
159 0.12434 0.48429 0.1395 0.48015 0.03083 1.1888 -0.31369 -1.1467 0.37633 -0.10295 0.00098384 -0.019628 99.872 0 0
|
| 72 |
+
32 0.28104 -0.41354 0.26791 -0.42216 0.0121 0.44081 -0.24202 0.36843 0.17612 0.11569 -0.001035 0.0076043 39.441 0 0
|
| 73 |
+
160 0.1395 0.48015 0.15451 0.47553 0.02915 1.1246 -0.33067 -1.0749 0.35397 -0.10889 0.00036594 -0.018594 85.3 0 0
|
| 74 |
+
33 0.26791 -0.42216 0.25452 -0.43037 0.0132 0.4842 -0.25299 0.41285 0.18483 0.11326 -0.0010706 0.0082638 41.613 0 0
|
| 75 |
+
161 0.15451 0.47553 0.16937 0.47044 0.02726 1.0276 -0.33287 -0.97222 0.34523 -0.1182 0.00019425 -0.017128 79.041 0 0
|
| 76 |
+
34 0.25452 -0.43037 0.24088 -0.43815 0.01497 0.55609 -0.27552 0.48303 0.20101 0.11465 -0.0011703 0.0093881 43.222 0 0
|
| 77 |
+
162 0.16937 0.47044 0.18406 0.46489 0.02361 0.90296 -0.31917 -0.84467 0.31484 -0.11897 -6.7994e-05 -0.015136 71.462 0 0
|
| 78 |
+
35 0.24088 -0.43815 0.227 -0.4455 0.01592 0.59962 -0.28058 0.52992 0.2261 0.11971 -0.00085572 0.010204 51.33 0 0
|
| 79 |
+
163 0.18406 0.46489 0.19857 0.45888 0.02174 0.83323 -0.31886 -0.7698 0.29941 -0.12402 -0.00030562 -0.01404 69.512 0 0
|
| 80 |
+
36 0.227 -0.4455 0.21289 -0.45241 0.01846 0.69236 -0.3046 0.62176 0.25194 0.12342 -0.00082707 0.011705 56.622 0 0
|
| 81 |
+
164 0.19857 0.45888 0.21289 0.45241 0.01995 0.73852 -0.30391 -0.67309 0.27293 -0.12323 -0.0004867 -0.012508 57.392 0 0
|
| 82 |
+
37 0.21289 -0.45241 0.19857 -0.45888 0.01956 0.74032 -0.30465 0.67473 0.2674 0.12074 -0.00058513 0.012495 61.796 0 0
|
| 83 |
+
165 0.21289 0.45241 0.227 0.4455 0.01842 0.69775 -0.30697 -0.62659 0.25433 -0.12459 -0.00082683 -0.011799 58.962 0 0
|
| 84 |
+
38 0.19857 -0.45888 0.18406 -0.46489 0.02181 0.82343 -0.31511 0.76075 0.29719 0.1231 -0.00028159 0.013883 64.866 0 0
|
| 85 |
+
166 0.227 0.4455 0.24088 0.43815 0.01696 0.63628 -0.29774 -0.56232 0.2394 -0.12676 -0.00091623 -0.010824 45.762 0 0
|
| 86 |
+
39 0.18406 -0.46489 0.16937 -0.47044 0.02478 0.94242 -0.33312 0.88159 0.33904 0.12811 9.2964e-05 0.01586 80.389 0 0
|
| 87 |
+
167 0.24088 0.43815 0.25452 0.43037 0.01439 0.53428 -0.26471 -0.46409 0.19814 -0.11302 -0.0010457 -0.0090648 41.017 0 0
|
| 88 |
+
40 0.16937 -0.47044 0.15451 -0.47553 0.02705 1.0409 -0.33716 0.98477 0.35075 0.12009 0.00021351 0.017354 79.532 0 0
|
| 89 |
+
168 0.25452 0.43037 0.26791 0.42216 0.01408 0.53152 -0.27772 -0.4532 0.19746 -0.121 -0.0012607 -0.0090191 42.884 0 0
|
| 90 |
+
41 0.15451 -0.47553 0.1395 -0.48015 0.02987 1.1479 -0.33751 1.0971 0.37937 0.11671 0.0006574 0.019066 88.379 0 0
|
| 91 |
+
169 0.26791 0.42216 0.28104 0.41354 0.01201 0.44138 -0.24233 -0.36891 0.16823 -0.11051 -0.0011638 -0.0075303 37.388 0 0
|
| 92 |
+
42 0.1395 -0.48015 0.12434 -0.48429 0.03245 1.2522 -0.33043 1.2079 0.39792 0.10886 0.00106 0.020682 87.237 0 0
|
| 93 |
+
170 0.28104 0.41354 0.29389 0.40451 0.01144 0.4096 -0.23552 -0.33512 0.16234 -0.11409 -0.0011496 -0.0070559 35.851 0 0
|
| 94 |
+
43 0.12434 -0.48429 0.10907 -0.48796 0.03474 1.3368 -0.31207 1.2999 0.41064 0.098587 0.0015483 0.021966 104.8 0 0
|
| 95 |
+
171 0.29389 0.40451 0.30645 0.39508 0.01015 0.37497 -0.22514 -0.29986 0.13445 -0.10095 -0.0014245 -0.0062956 24.969 0 0
|
| 96 |
+
44 0.10907 -0.48796 0.093691 -0.49114 0.03918 1.5228 -0.3088 1.4911 0.46045 0.095354 0.002382 0.024919 113.58 0 0
|
| 97 |
+
172 0.30645 0.39508 0.31871 0.38526 0.00997 0.36234 -0.22655 -0.28278 0.12891 -0.10327 -0.0015337 -0.0060639 28.327 0 0
|
| 98 |
+
45 0.093691 -0.49114 0.078217 -0.49384 0.04294 1.6757 -0.28811 1.6508 0.49411 0.086236 0.0032357 0.027284 127.15 0 0
|
| 99 |
+
173 0.31871 0.38526 0.33066 0.37506 0.00913 0.3314 -0.21523 -0.252 0.11757 -0.10041 -0.001534 -0.0055355 28.407 0 0
|
| 100 |
+
46 0.078217 -0.49384 0.062667 -0.49606 0.04669 1.8162 -0.25591 1.7981 0.51347 0.073078 0.0040455 0.029392 130.29 0 0
|
| 101 |
+
174 0.33066 0.37506 0.34227 0.36448 0.00902 0.32634 -0.21963 -0.24137 0.10097 -0.091874 -0.0018638 -0.0052343 26.762 0 0
|
| 102 |
+
47 0.062667 -0.49606 0.047054 -0.49778 0.05006 1.9663 -0.21577 1.9544 0.52485 0.057944 0.0048547 0.031609 140.2 0 0
|
| 103 |
+
175 0.34227 0.36448 0.35355 0.35355 0.00886 0.32463 -0.22591 -0.23312 0.07401 -0.071721 -0.002386 -0.0047883 25.796 0 0
|
| 104 |
+
48 0.047054 -0.49778 0.031395 -0.49901 0.0546 2.144 -0.16822 2.1374 0.58787 0.046266 0.0065915 0.0343 148.53 0 0
|
| 105 |
+
176 0.35355 0.35355 0.36448 0.34227 0.00855 0.30927 -0.22209 -0.21522 0.071941 -0.074237 -0.0023585 -0.0045467 22.194 0 0
|
| 106 |
+
49 0.031395 -0.49901 0.015705 -0.49975 0.06067 2.359 -0.11112 2.3564 0.60392 0.02848 0.0077405 0.03746 169.26 0 0
|
| 107 |
+
177 0.36448 0.34227 0.37506 0.33066 0.00899 0.32323 -0.23907 -0.21754 0.057565 -0.063263 -0.002851 -0.0044106 20.091 0 0
|
| 108 |
+
50 0.015705 -0.49975 0 -0.5 0.06429 2.5155 -0.039512 2.5152 0.60662 0.0095295 0.0089077 0.039657 192.39 0 0
|
| 109 |
+
178 0.37506 0.33066 0.38526 0.31871 0.00894 0.33497 -0.25471 -0.21755 0.055545 -0.065035 -0.0031284 -0.0044386 24.67 0 0
|
| 110 |
+
51 0 -0.5 -0.015705 -0.49975 0.06955 2.7209 0.042738 2.7206 0.64755 -0.010173 0.010843 0.042573 186.78 0 0
|
| 111 |
+
179 0.38526 0.31871 0.39508 0.30645 0.00946 0.35138 -0.27423 -0.2197 0.041131 -0.05134 -0.0036613 -0.0042573 23.239 0 0
|
| 112 |
+
52 -0.015705 -0.49975 -0.031395 -0.49901 0.07653 3.0081 0.1417 3.0048 0.67077 -0.031633 0.012762 0.0467 214.25 0 0
|
| 113 |
+
180 0.39508 0.30645 0.40451 0.29389 0.01033 0.38805 -0.31032 -0.23299 0.022187 -0.029551 -0.0045258 -0.0041239 18.371 0 0
|
| 114 |
+
53 -0.031395 -0.49901 -0.047054 -0.49778 0.08198 3.2208 0.2527 3.2109 0.67836 -0.053388 0.014624 0.049595 225.7 0 0
|
| 115 |
+
181 0.40451 0.29389 0.41354 0.28104 0.01061 0.40674 -0.33277 -0.23388 0.028442 -0.040468 -0.0047802 -0.0043092 18.547 0 0
|
| 116 |
+
54 -0.047054 -0.49778 -0.062667 -0.49606 0.08932 3.5121 0.3854 3.4909 0.76076 -0.083989 0.018003 0.053513 255.19 0 0
|
| 117 |
+
182 0.41354 0.28104 0.42216 0.26791 0.01154 0.43834 -0.36637 -0.24066 0.014054 -0.021395 -0.0055339 -0.0041161 18.003 0 0
|
| 118 |
+
55 -0.062667 -0.49606 -0.078217 -0.49384 0.09419 3.7311 0.52572 3.6939 0.74523 -0.10606 0.019963 0.056355 270.28 0 0
|
| 119 |
+
183 0.42216 0.26791 0.43037 0.25452 0.01231 0.46937 -0.40021 -0.24525 0.0090219 -0.014722 -0.0061444 -0.0040834 26.643 0 0
|
| 120 |
+
56 -0.078217 -0.49384 -0.093691 -0.49114 0.10332 4.0716 0.70003 4.011 0.85168 -0.14864 0.024373 0.060667 284.19 0 0
|
| 121 |
+
184 0.43037 0.25452 0.43815 0.24088 0.01329 0.51083 -0.44372 -0.25309 0.0026171 -0.0045882 -0.0069285 -0.0040475 21.955 0 0
|
| 122 |
+
57 -0.093691 -0.49114 -0.10907 -0.48796 0.11243 4.4787 0.90822 4.3856 0.80753 -0.16723 0.02695 0.06626 307.74 0 0
|
| 123 |
+
185 0.43815 0.24088 0.4455 0.227 0.01341 0.51568 -0.45574 -0.2413 0.0066558 -0.012571 -0.007054 -0.0039877 23.135 0 0
|
| 124 |
+
58 -0.10907 -0.48796 -0.12434 -0.48429 0.12123 4.7483 1.1085 4.6171 0.8001 -0.19209 0.029978 0.069505 319.11 0 0
|
| 125 |
+
186 0.4455 0.227 0.45241 0.21289 0.01441 0.55469 -0.49813 -0.24403 -0.0034338 0.0070092 -0.0078782 -0.003723 21.03 0 0
|
| 126 |
+
59 -0.12434 -0.48429 -0.1395 -0.48015 0.13133 5.1792 1.3667 4.9956 0.86959 -0.23789 0.035125 0.074731 344.88 0 0
|
| 127 |
+
187 0.45241 0.21289 0.45888 0.19857 0.01522 0.58314 -0.53148 -0.23997 -0.011567 0.025617 -0.0085297 -0.0033669 25.277 0 0
|
| 128 |
+
60 -0.1395 -0.48015 -0.15451 -0.47553 0.13878 5.5142 1.6214 5.2704 0.89556 -0.27551 0.039535 0.078457 393.98 0 0
|
| 129 |
+
188 0.45888 0.19857 0.46489 0.18406 0.01545 0.59741 -0.55193 -0.22862 -0.0069825 0.016857 -0.0087791 -0.0033262 26.837 0 0
|
| 130 |
+
61 -0.15451 -0.47553 -0.16937 -0.47044 0.14597 5.8095 1.8818 5.4963 0.88661 -0.30355 0.043484 0.081564 394.44 0 0
|
| 131 |
+
189 0.46489 0.18406 0.47044 0.16937 0.01598 0.62138 -0.58127 -0.21964 -0.0023852 0.0063122 -0.0091676 -0.0033508 17.112 0 0
|
| 132 |
+
62 -0.16937 -0.47044 -0.18406 -0.46489 0.15853 6.2708 2.2166 5.866 0.90362 -0.34145 0.04901 0.086775 409.96 0 0
|
| 133 |
+
190 0.47044 0.16937 0.47553 0.15451 0.01736 0.66475 -0.62891 -0.21533 -0.0083128 0.02428 -0.010009 -0.0030008 27.194 0 0
|
| 134 |
+
63 -0.18406 -0.46489 -0.19857 -0.45888 0.16969 6.7457 2.5815 6.2323 0.96956 -0.40161 0.055777 0.091584 467.97 0 0
|
| 135 |
+
191 0.47553 0.15451 0.48015 0.1395 0.01689 0.65584 -0.62685 -0.19284 -0.0093275 0.030319 -0.0099926 -0.0025528 21.387 0 0
|
| 136 |
+
64 -0.19857 -0.45888 -0.21289 -0.45241 0.17816 7.0688 2.9089 6.4425 0.93857 -0.42378 0.060433 0.094538 485.9 0 0
|
| 137 |
+
192 0.48015 0.1395 0.48429 0.12434 0.01706 0.65088 -0.62781 -0.17175 -0.0051329 0.018763 -0.0099419 -0.002403 26.102 0 0
|
| 138 |
+
65 -0.21289 -0.45241 -0.227 -0.4455 0.19387 7.6995 3.3873 6.9143 0.96166 -0.47111 0.06831 0.10121 512.76 0 0
|
| 139 |
+
193 0.48429 0.12434 0.48796 0.10907 0.01715 0.66999 -0.65148 -0.15641 -0.002576 0.01073 -0.010273 -0.0022882 28.239 0 0
|
| 140 |
+
66 -0.227 -0.4455 -0.24088 -0.43815 0.20079 7.9908 3.7391 7.062 0.93559 -0.49537 0.073427 0.10314 520.53 0 0
|
| 141 |
+
194 0.48796 0.10907 0.49114 0.093691 0.01892 0.73335 -0.71812 -0.14871 -0.003866 0.018668 -0.01134 -0.0020427 31.217 0 0
|
| 142 |
+
67 -0.24088 -0.43815 -0.25452 -0.43037 0.21691 8.613 4.2674 7.4815 0.99926 -0.56997 0.082725 0.10856 578.27 0 0
|
| 143 |
+
195 0.49114 0.093691 0.49384 0.078217 0.01881 0.71768 -0.707 -0.12339 -0.002856 0.016364 -0.01115 -0.0016811 27.79 0 0
|
| 144 |
+
68 -0.25452 -0.43037 -0.26791 -0.42216 0.22691 8.9963 4.7005 7.6706 0.95547 -0.58551 0.088841 0.11129 582.92 0 0
|
| 145 |
+
196 0.49384 0.078217 0.49606 0.062667 0.01925 0.73499 -0.72766 -0.10356 -0.0031445 0.022095 -0.011479 -0.0012796 30.473 0 0
|
| 146 |
+
69 -0.26791 -0.42216 -0.28104 -0.41354 0.24017 9.5472 5.2416 7.9796 0.96155 -0.63162 0.097435 0.11542 621.27 0 0
|
| 147 |
+
197 0.49606 0.062667 0.49778 0.047054 0.01925 0.75013 -0.7456 -0.082315 -0.0017276 0.015648 -0.011739 -0.0010472 32.208 0 0
|
| 148 |
+
70 -0.28104 -0.41354 -0.29389 -0.40451 0.25157 10.048 5.7777 8.2209 0.93798 -0.65923 0.10549 0.11877 676.77 0 0
|
| 149 |
+
198 0.49778 0.047054 0.49901 0.031395 0.01908 0.74951 -0.7472 -0.058806 -0.00088318 0.011222 -0.01175 -0.00074742 32.299 0 0
|
| 150 |
+
71 -0.29389 -0.40451 -0.30645 -0.39508 0.26632 10.578 6.3512 8.459 0.94022 -0.70593 0.11453 0.12178 689.45 0 0
|
| 151 |
+
199 0.49901 0.031395 0.49975 0.015705 0.01942 0.74529 -0.74446 -0.035108 -0.00061224 0.012982 -0.011703 -0.00034753 30.301 0 0
|
| 152 |
+
72 -0.30645 -0.39508 -0.31871 -0.38526 0.28246 11.235 7.0248 8.7684 0.96759 -0.77518 0.12554 0.12555 747.47 0 0
|
| 153 |
+
200 0.49975 0.015705 0.5 0 0.01899 0.73272 -0.73263 -0.011509 -0.00015323 0.009754 -0.01151 -2.7567e-05 32.325 0 0
|
| 154 |
+
73 -0.31871 -0.38526 -0.33066 -0.37506 0.29454 11.719 7.6106 8.9109 0.92968 -0.79402 0.13414 0.12749 769.03 0 0
|
| 155 |
+
74 -0.33066 -0.37506 -0.34227 -0.36448 0.3082 12.301 8.2786 9.0981 0.92498 -0.84167 0.14456 0.12969 795.55 0 0
|
| 156 |
+
75 -0.34227 -0.36448 -0.35355 -0.35355 0.32365 12.812 8.9161 9.2007 0.84027 -0.81428 0.15325 0.13173 814.29 0 0
|
| 157 |
+
76 -0.35355 -0.35355 -0.36448 -0.34227 0.33538 13.357 9.592 9.2953 0.84985 -0.87698 0.16401 0.13223 887.66 0 0
|
| 158 |
+
77 -0.36448 -0.34227 -0.37506 -0.33066 0.34977 14.019 10.369 9.4346 0.80406 -0.88365 0.17549 0.13431 932.08 0 0
|
| 159 |
+
78 -0.37506 -0.33066 -0.38526 -0.31871 0.36347 14.47 11.003 9.3975 0.80046 -0.93722 0.1854 0.13289 957.57 0 0
|
| 160 |
+
79 -0.38526 -0.31871 -0.39508 -0.30645 0.38209 15.199 11.862 9.503 0.7729 -0.96474 0.19845 0.13411 1008.8 0 0
|
| 161 |
+
80 -0.39508 -0.30645 -0.40451 -0.29389 0.3949 15.729 12.578 9.444 0.73763 -0.98243 0.20916 0.13291 1033.8 0 0
|
| 162 |
+
81 -0.40451 -0.29389 -0.41354 -0.28104 0.40754 16.271 13.312 9.3561 0.65433 -0.93102 0.21938 0.13234 1049.2 0 0
|
| 163 |
+
82 -0.41354 -0.28104 -0.42216 -0.26791 0.42065 16.769 14.015 9.2063 0.6014 -0.91555 0.22959 0.13023 1090.1 0 0
|
| 164 |
+
83 -0.42216 -0.26791 -0.43037 -0.25452 0.43191 17.308 14.758 9.0434 0.55412 -0.90423 0.2405 0.12784 1092 0 0
|
| 165 |
+
84 -0.43037 -0.25452 -0.43815 -0.24088 0.44651 17.757 15.424 8.7978 0.51486 -0.90264 0.25036 0.12401 1156.9 0 0
|
| 166 |
+
85 -0.43815 -0.24088 -0.4455 -0.227 0.4582 18.268 16.144 8.548 0.47744 -0.90173 0.26108 0.1201 1164 0 0
|
| 167 |
+
86 -0.4455 -0.227 -0.45241 -0.21289 0.46948 18.678 16.773 8.2171 0.38284 -0.78147 0.26948 0.11679 1191 0 0
|
| 168 |
+
87 -0.45241 -0.21289 -0.45888 -0.19857 0.47911 19.037 17.35 7.8339 0.37547 -0.83158 0.27842 0.10999 1176.6 0 0
|
| 169 |
+
88 -0.45888 -0.19857 -0.46489 -0.18406 0.49671 19.656 18.16 7.5219 0.32276 -0.77922 0.29031 0.10591 1241.8 0 0
|
| 170 |
+
89 -0.46489 -0.18406 -0.47044 -0.16937 0.50312 20.027 18.735 7.0792 0.27462 -0.72677 0.29858 0.09978 1275.1 0 0
|
| 171 |
+
90 -0.47044 -0.16937 -0.47553 -0.15451 0.51206 20.389 19.29 6.6043 0.24172 -0.70601 0.30679 0.092647 1306.4 0 0
|
| 172 |
+
91 -0.47553 -0.15451 -0.48015 -0.1395 0.52148 20.809 19.889 6.1187 0.2137 -0.69465 0.31576 0.085197 1333.4 0 0
|
| 173 |
+
92 -0.48015 -0.1395 -0.48429 -0.12434 0.52676 20.979 20.235 5.5357 0.18077 -0.66079 0.32068 0.076572 1341.9 0 0
|
| 174 |
+
93 -0.48429 -0.12434 -0.48796 -0.10907 0.5367 21.316 20.727 4.9761 0.12955 -0.53961 0.3276 0.069686 1352.7 0 0
|
| 175 |
+
94 -0.48796 -0.10907 -0.49114 -0.093691 0.54009 21.588 21.14 4.3778 0.097327 -0.46997 0.33358 0.061382 1382.8 0 0
|
| 176 |
+
95 -0.49114 -0.093691 -0.49384 -0.078217 0.54694 21.844 21.519 3.7557 0.069387 -0.39757 0.3391 0.052747 1429.2 0 0
|
| 177 |
+
96 -0.49384 -0.078217 -0.49606 -0.062667 0.55119 21.959 21.74 3.0941 0.057217 -0.40203 0.34238 0.042285 1357.5 0 0
|
| 178 |
+
97 -0.49606 -0.062667 -0.49778 -0.047054 0.55587 22.255 22.12 2.4421 0.027359 -0.24781 0.34788 0.034467 1447 0 0
|
| 179 |
+
98 -0.49778 -0.047054 -0.49901 -0.031395 0.55981 22.257 22.189 1.7463 0.016921 -0.215 0.34879 0.024053 1364.6 0 0
|
| 180 |
+
99 -0.49901 -0.031395 -0.49975 -0.015705 0.56088 22.411 22.386 1.0557 0.0078294 -0.16602 0.35175 0.013975 1458.9 0 0
|
| 181 |
+
100 -0.49975 -0.015705 -0.5 0 0.56261 22.377 22.374 0.35148 0.00013929 -0.0088667 0.35144 0.0053815 1413.6 0 0
|
| 182 |
+
101 -0.5 0 -0.49975 0.015705 0.56544 22.536 22.533 -0.35398 -1.3425e-06 -8.5458e-05 0.35394 -0.0055615 1422.4 0 0
|
| 183 |
+
102 -0.49975 0.015705 -0.49901 0.031395 0.55964 22.339 22.315 -1.0523 0.0071579 0.15178 0.35061 -0.014145 1478.7 0 0
|
| 184 |
+
103 -0.49901 0.031395 -0.49778 0.047054 0.56666 22.511 22.441 -1.7662 0.014079 0.17889 0.35271 -0.024932 1385.1 0 0
|
| 185 |
+
104 -0.49778 0.047054 -0.49606 0.062667 0.55676 22.23 22.096 -2.4394 0.028782 0.26071 0.34752 -0.034222 1422.7 0 0
|
| 186 |
+
105 -0.49606 0.062667 -0.49384 0.078217 0.55178 22.044 21.824 -3.106 0.038945 0.27364 0.3434 -0.044488 1420 0 0
|
| 187 |
+
106 -0.49384 0.078217 -0.49114 0.093691 0.55216 21.977 21.65 -3.7785 0.070931 0.40642 0.34117 -0.052966 1410.4 0 0
|
| 188 |
+
107 -0.49114 0.093691 -0.48796 0.10907 0.5431 21.674 21.224 -4.3952 0.098312 0.47473 0.33491 -0.061581 1381.9 0 0
|
| 189 |
+
108 -0.48796 0.10907 -0.48429 0.12434 0.53865 21.42 20.828 -5.0003 0.12327 0.51344 0.32909 -0.070477 1380.7 0 0
|
| 190 |
+
109 -0.48429 0.12434 -0.48015 0.1395 0.53015 21.19 20.439 -5.5916 0.15458 0.56506 0.32348 -0.078953 1370.1 0 0
|
| 191 |
+
110 -0.48015 0.1395 -0.47553 0.15451 0.5203 20.772 19.853 -6.1077 0.19841 0.64494 0.31496 -0.085805 1335.6 0 0
|
| 192 |
+
111 -0.47553 0.15451 -0.47044 0.16937 0.51597 20.593 19.483 -6.6705 0.2488 0.72668 0.30993 -0.093361 1354.3 0 0
|
| 193 |
+
112 -0.47044 0.16937 -0.46489 0.18406 0.50494 20.13 18.83 -7.1154 0.31063 0.82206 0.30065 -0.098851 1297.3 0 0
|
| 194 |
+
113 -0.46489 0.18406 -0.45888 0.19857 0.49312 19.645 18.15 -7.5179 0.34055 0.82215 0.29043 -0.10517 1249.8 0 0
|
| 195 |
+
114 -0.45888 0.19857 -0.45241 0.21289 0.48377 19.281 17.573 -7.9343 0.35505 0.78634 0.2816 -0.11228 1287.2 0 0
|
| 196 |
+
115 -0.45241 0.21289 -0.4455 0.227 0.47058 18.764 16.851 -8.255 0.418 0.85324 0.27124 -0.11626 1217.4 0 0
|
| 197 |
+
116 -0.4455 0.227 -0.43815 0.24088 0.45984 18.4 16.261 -8.61 0.4875 0.92073 0.26308 -0.12078 1223.4 0 0
|
| 198 |
+
117 -0.43815 0.24088 -0.43037 0.25452 0.44784 17.814 15.474 -8.8262 0.5199 0.91148 0.25122 -0.12432 1141.7 0 0
|
| 199 |
+
118 -0.43037 0.25452 -0.42216 0.26791 0.43316 17.263 14.719 -9.02 0.56523 0.92237 0.24008 -0.12719 1106.4 0 0
|
| 200 |
+
119 -0.42216 0.26791 -0.41354 0.28104 0.41877 16.711 13.967 -9.1745 0.64988 0.98935 0.22959 -0.12857 1090.1 0 0
|
| 201 |
+
120 -0.41354 0.28104 -0.40451 0.29389 0.4079 16.259 13.302 -9.349 0.71263 1.014 0.22014 -0.13092 1087.5 0 0
|
| 202 |
+
121 -0.40451 0.29389 -0.39508 0.30645 0.39395 15.632 12.501 -9.386 0.72877 0.97063 0.2078 -0.13218 986.35 0 0
|
| 203 |
+
122 -0.39508 0.30645 -0.38526 0.31871 0.37593 14.945 11.664 -9.3445 0.71542 0.89299 0.19445 -0.13275 969.15 0 0
|
| 204 |
+
123 -0.38526 0.31871 -0.37506 0.33066 0.36329 14.48 11.01 -9.4037 0.79846 0.93488 0.18548 -0.13302 964 0 0
|
| 205 |
+
124 -0.37506 0.33066 -0.36448 0.34227 0.34956 13.953 10.32 -9.3906 0.81319 0.89368 0.17488 -0.13346 919.26 0 0
|
| 206 |
+
125 -0.36448 0.34227 -0.35355 0.35355 0.34073 13.527 9.7139 -9.4135 0.86136 0.88886 0.16611 -0.1339 903.45 0 0
|
| 207 |
+
126 -0.35355 0.35355 -0.34227 0.36448 0.32311 12.813 8.9166 -9.2012 0.87363 0.8466 0.15378 -0.13123 817.35 0 0
|
| 208 |
+
127 -0.34227 0.36448 -0.33066 0.37506 0.3086 12.277 8.2628 -9.0806 0.90555 0.82399 0.14401 -0.12969 802.63 0 0
|
| 209 |
+
128 -0.33066 0.37506 -0.31871 0.38526 0.29251 11.691 7.5928 -8.8901 0.90561 0.77346 0.13349 -0.12749 745.59 0 0
|
CylinderKnMa/Kn0p12/simulation0164_Kn0p12Ma3p3/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/Kn0p12/simulation0164_Kn0p12Ma3p3/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
|