CFD中文网

0_1514836555114_xmas-ornaments-erick-2000-small.png

挺有意思

楼主，请问您解决这个问题了么，我最近做重叠网格入水也遇到这个问题，求助

各位大佬，在编译udf出现问题，为什么会出现解码失败呢，flunet不是使用UTF-8 解码，为什么会出现gbk' code，从而导致Error at host: open_udf_library: couldn't get udf_data
???????????????

UnicodeDecodeError: 'gbk' codec can't decode byte 0x8f in position 155: illegal multibyte sequence:

注：路径检查没有中文和非字符

有大佬知道是什么原因么

12岁，考个好初中

15岁，考个好高中

18岁，考个好大学

22岁，考研

25岁，找个好工作。

27岁，相亲组建个家庭

30岁，挣钱攒钱买房 -- 我目前在这里 :surprised: 10万一平 :upset:

40岁，养孩子养老人，养车养房。

50岁，给孩子买房子

60岁，带孙子养孙子

70岁，是不是可以享福了

看到自己提交的C-CFD了哈哈哈

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.

@李东岳 噢噢好，谢谢大佬指点！:sad:

@liuxiaodong les计算圆管管道流动的，尝试了很多都最后变成层流了，这是为什么呢

理论上以及openfoam中，是可以作为interface处理的

还有就是如果网格节点无法保证周期性一一对应，可以将对应的周期面设置为interface,然后到fluent里通过匹配两个interface面，并选择对话框下方的Periodic boundary conditions设置
另外一款网格划分软件Gambit的话就可以直接设置多对周期性边界条件

链接文本

参考页面左边栏。

今天在Peric那本书里面看到说

如果能量守恒的话，速度在计算域内应该是有界的

page 161

查了查，应该是脚上韧带撕裂，

@浪迹天大 师兄可以加个微信吗？wallong95:laughing:

这个我已经解决了，是写代码算出接触点和旋转角度在gambit里直接生成的，很容易。

每个人都能出名15分钟

--安迪 奥霍尔

摩拜、简书、一直播、债无忧，乍一看这些近3年成熟的新产品毫无关系，但是他们的共同点是背后的资本推手。以共享单车为例，甚至在10年前，北京就存在“共享单车”，当然叫做公共自行车更为恰当。那么为什么共享单车做到了亿万市场，公共自行车缺黯然没落。这和背后的运营主体有直接关系。

以摩拜为例，以企业作为运营主体的摩拜2015年就获得千万元人民币的投资，并在1年后完成了近10亿人民币的C轮融资。资本催熟了共享单车的运营形式，只有在有了资本之后，才能投入“车满为患”的量级。只有路边随手就是共享单车，才能实现公共自行车的初衷。

民间资本1年投入的这10个亿，等于我国在CAE行业10年的投入。

北快手，南抖音，通过农村包围城市，成就乡村网红，随即转型名流。相对于大V云集的微博，“去中心化”，“激发普通人的创造力”是抖音短视频以及快手短视频的核心概念。后者已经获得3.5亿美元的战略融资。在抖音上，只要你发的作品不拘一格，有创造力，即可以获得数十万的点击，并获得上万的粉丝。以前那个名人效应不复存在，在“去中心化”的背景下，人人都可以成为网红，进而变现造富。

从人人都可以装B的知乎，到资本井喷的人脸识别，以及你女朋友用的小咖秀，到硕士起薪30万+的AI ，这些被资本催熟的产品，并不适用于CFD，或许不适合今天中国的CFD行业。

行业的发展永远摆脱不了资本的渗入。CFD的发展，更离不开资本的投入。只有资本投入，才能成就行业。但我们要十指交叉，在未来，总会有若干有远见的民间资本家，为我国CAE行业注入资本的血液，成就中国的工业制造自主涅槃。

blockMesh很容易出错，尤其你还画了那么多点，肯定没定义好，仔细检查下.. 小错误

fluent自定义过饱和函数时应该用那个压力数据来计算？我的静压只有不到100pa，太小了