CFD中文网

@bestucan 谢谢大佬

@bestucan 感谢，follow path 和follow data 都很好用

已邀请

@冰冰玩 好的，谢谢！我之后尝试一下。

老铁这个整的太高端了，我只知道两个点直接的距离，不知道3个点的距离是什么意义...

@allanzhong 看这个意思，应该和你说的差不多，理论上肯定为，但实际上从理论转换为数值算法的时候总会有些偏差，算法在具体实现的时候又会有一些偏差。如果是这样，这些偏差我认为是可以接受的。

CFD-DEM，加上气固反应，比如甲烷燃烧煅烧石灰，还没有见到过这方面的文章

这个文章没有讨论【一维压力波求解】

你需要重新关联一下，挺费事的

bdbd6309-2879-476a-a5fd-79f685f05403-1731635955698.png
udf也没用编译错误，网格也是正常的

本人按在实际出口下方5cm处建立一个出口边界，实际出口则设为内部边界，最后调整参数，得到了与文献相似的结果。感谢各位的帮助！！

@肖艺 STAR CCM+
例子： https://www.cfd-schuck.de/en/cfd/anwendungsbeispiele/simulation-of-gear.html

想请教各位，我对OF后处理中力系数forceCoeffs中的几个概念不太能理解，想请教一下各位。

forceCoeffs { type forceCoeffs; libs ( "libforces.so" ); writeControl timeStep; writeInterval 1; patches ( "floatingObject" ); rho rhoInf; log true; rhoInf 1000; liftDir (0 0 1); //升力方向 dragDir (0 0 1); //拖曳力方向 CofR (5 5 2); //用于计算力矩的点 pitchAxis (0 0 1); //pitch方向,围绕转动的轴 magUInf 0; //无限远处来流处的速度 lRef 2; //参考长度 Aref 8; //参考面积 }

首先这里对liftDir升力和dragDir拖曳力的定义是怎样的 ?举个例子，如果模拟的是一个物体在水中匀速运动，升力可否理解为浮力？那这里的拖曳力又是指什么呢？
还是这个例子，pitchAxis解释为围绕转动的轴，这又是指什么？另外如果在静水中运动，那magUInf可以设置为0吗？lRef和Aref是相对谁的参考呢，计算域吗？

fluent读取网格文件或者dat文件后，就直接闪退，求大佬帮忙

目前是在用重叠网格进行模拟，一个结构是固体，另一个是线弹性。用的是明渠造波，初始化总是崩溃，这是为什么呢？报错代码附在下面，感谢各位大佬抽出时间回答这个问题。
Grouping and repartitioning the fluid cell zones...

14 Stored Partitions:
P Cells I-Cells Cell Ratio Faces I-Faces Face Ratio Neighbors Load
0 52115 3581 0.069 176927 7246 0.041 5 1
1 52472 4620 0.088 162295 4236 0.026 4 1
2 54617 12093 0.221 134005 7412 0.055 9 1
3 52637 6006 0.114 169686 5664 0.033 4 1
4 52807 11023 0.209 167910 5289 0.031 6 1
5 52057 3479 0.067 162444 4597 0.028 5 1
6 52745 1693 0.032 170269 3362 0.020 2 1
7 52784 13211 0.250 163205 4296 0.026 5 1
8 52259 3566 0.068 176157 7128 0.040 5 1
9 51910 1672 0.032 160241 2070 0.013 1 1
10 51748 3480 0.067 164291 5004 0.030 3 1
11 54525 9324 0.171 134306 6166 0.046 8 1
12 51710 3562 0.069 166038 5640 0.034 4 1
13 54297 9707 0.179 133333 6836 0.051 9 1

Collective Partition Statistics: Minimum Maximum Total

Cell count 51710 54617 738683
Mean cell count deviation -2.0% 3.5%
Partition boundary cell count 1672 13211 87017
Partition boundary cell count ratio 3.2% 25.0% 11.8%

Face count 133333 176927 2200909
Mean face count deviation -16.7% 10.5%
Partition boundary face count 2070 7412 40198
Partition boundary face count ratio 1.3% 5.5% 1.8%

Partition neighbor count 1 9

Partition Method Metis
Stored Partition Count 14

Overset partition statistics:
P Cells Solve-cells Dead-cells
0 52115 58811 0
1 52472 52274 66
2 54617 56753 617
3 52637 54720 391
4 52807 46085 6296
5 52057 52626 0
6 52745 55832 0
7 52784 43070 6359
8 52259 58396 0
9 51910 51910 0
10 51748 53430 0
11 54525 59651 261
12 51710 54199 0
13 54297 58997 228

Overset Partition Statistics: Minimum Maximum Total

Cell count 51710 54617 738683
Mean cell count deviation -2.0% 3.5%

Solve cell count 43070 59651 756754
Mean solve cell count deviation -20.3% 10.4%

Dead cell count 0 6359 14218
Mean dead cell count deviation -100.0% 526.1%

Partition Method Metis
Stored Partition Count 14

Done.

10422 partition interfaces of the 215044 cells aspect ratio > 5 545456 groups for partitioning (including overlaps) Merging groups across partitions: 1 99888 2 8996 3 2718 4 599 5 112 6 20 7 2 8 0 Partition 535235 groups out of 738683 cells 183 partition interfaces of the 215044 cells aspect ratio > 5

Grouping and repartitioning the solid cell zones...

14 Stored Partitions:
P Cells I-Cells Cell Ratio Faces I-Faces Face Ratio Neighbors Load
0 3081 778 0.253 163329 1521 0.009 4 1
1 3081 814 0.264 163934 1432 0.009 5 1
2 3089 845 0.274 129565 7700 0.059 11 1
3 3076 819 0.266 164712 1583 0.010 3 1
4 3080 832 0.270 164935 1464 0.009 6 1
5 3079 829 0.269 162882 1455 0.009 6 1
6 3077 1026 0.333 163326 1996 0.012 7 1
7 3089 795 0.257 165081 1535 0.009 4 1
8 3092 928 0.300 163821 1637 0.010 5 1
9 3093 884 0.286 160599 1611 0.010 5 1
10 3090 761 0.246 161874 1493 0.009 4 1
11 3075 806 0.262 127548 7289 0.057 9 1
12 3097 868 0.280 162126 1544 0.010 5 1
13 3098 319 0.103 126305 4986 0.039 6 1

Collective Partition Statistics: Minimum Maximum Total

Cell count 3075 3098 43197
Mean cell count deviation -0.3% 0.4%
Partition boundary cell count 319 1026 11304
Partition boundary cell count ratio 10.3% 33.3% 26.2%

Face count 126305 165081 2133715
Mean face count deviation -18.9% 6.0%
Partition boundary face count 1432 7700 46322
Partition boundary face count ratio 0.9% 5.9% 2.2%

Partition neighbor count 3 11

Partition Method Metis
Stored Partition Count 14

Overset partition statistics:
P Cells Solve-cells Dead-cells
0 3081 55196 0
1 3081 55355 66
2 3089 54741 617
3 3076 54989 391
4 3080 47373 6296
5 3079 55136 0
6 3077 55822 0
7 3089 46159 6359
8 3092 55351 0
9 3093 55003 0
10 3090 54838 0
11 3075 56138 261
12 3097 54807 0
13 3098 55846 228

Overset Partition Statistics: Minimum Maximum Total

Cell count 3075 3098 43197
Mean cell count deviation -0.3% 0.4%

Solve cell count 46159 56138 756754
Mean solve cell count deviation -14.6% 3.9%

Dead cell count 0 6359 14218
Mean dead cell count deviation -100.0% 526.1%

Partition Method Metis
Stored Partition Count 14

Done.

42 partition interfaces of the 1073 cells aspect ratio > 5 43150 groups for partitioning (including overlaps) Merging groups across partitions: 1 6 2 0 Partition 43147 groups out of 43197 cells *** Subcommunicators recreated (11/14)! *** 565 partition interfaces of the 1073 cells aspect ratio > 5 Migrating partitions to compute-nodes.

Node 1: Process 14244: Received signal SIGSEGV.

==============================================================================

==============================================================================

Node 13: Process 4932: Received signal SIGSEGV.

==============================================================================

==============================================================================

Node 5: Process 7224: Received signal SIGSEGV.

==============================================================================

==============================================================================

Node 11: Process 8716: Received signal SIGSEGV.

==============================================================================

==============================================================================

Node 7: Process 6588: Received signal SIGSEGV.

==============================================================================

==============================================================================

Node 8: Process 5632: Received signal SIGSEGV.

==============================================================================

==============================================================================

Node 9: Process 7040: Received signal SIGSEGV.

==============================================================================

==============================================================================

Node 10: Process 3868: Received signal SIGSEGV.

==============================================================================

==============================================================================

Node 6: Process 4756: Received signal SIGSEGV.

==============================================================================

==============================================================================

Node 4: Process 820: Received signal SIGSEGV.

==============================================================================

===================================================================================
= BAD TERMINATION OF ONE OF YOUR APPLICATION PROCESSES
= RANK 0 PID 13864 RUNNING AT DESKTOP-RDMJC80
= EXIT STATUS: -1 (ffffffff) ===================================================================================
= BAD TERMINATION OF ONE OF YOUR APPLICATION PROCESSES
= RANK 2 PID 12200 RUNNING AT DESKTOP-RDMJC80
= EXIT STATUS: -1 (ffffffff)

The fl process could not be started.

thread_loop_c 获取subthread层的值似乎有点问题，见https://muchong.com/html/201211/5150612_2.html，最好是用mp_thread_loop_c，配合**pt和C_VOF(c, pt[0])来进行取值。

分别将小球和圆柱建立两个body，再采用结构化网格划分球体，再设置交界面节点对应生产圆柱体网格

请教大家一个问题，笛卡尔网格，已知网格8个顶点的坐标，以及网格中心的物理量的值，但网格排序是杂乱无章的，有什么好方法进行后处理呀？

@cccrrryyy 谢谢老师