BLAZE 发表于 2022-2-12 15:26:11

udf报错求助

如图,我需要在fluent中用udf编译此氢气吸收标量方程(标量为x)。

代码如下:
#include "udf.h"
#define PI 3.14
DEFINE_SOURCE(MySource,c,t,dS,eqn)
{
real pressure,temperature,density,source,con, phi_old,peq;
pressure=C_P(c,t);
temperature=C_T(c,t);
density=C_R(c,t);
phi_old=C_UDSI(c,t,0);
peq=exp(107.2/8.314-28000/8.314/temperature+0.5*tan(PI*(phi_old-0.5))+0.1)*100000;
con=density*(pressure-peq)/peq*exp(-21170/8.314/temperature);
source=con-con*phi_old;
dS=0;
return source;
}

方程中为常数的项全部用常数代替了,仅对源项进行编译(源项为方程右边)
但计算时开始就直接终止并自动推出了(用的默认初始化)

图片上终止命令框如下显示999999:mpt_accept: error: accept failed:No error

Node0: Process 3576: Received signal SIGSEGV

MPI Application rank 0 exited before MPI_Finalize() with status 2

这怎么解决?求助,是哪里出了问题?

BLAZE 发表于 2022-2-12 19:08:35

问题已解决,由于我自己没注意打开能量方程,默认初始化里没有初始化温度,temperature读取不了值

fluent吃土 发表于 2022-2-16 10:56:37

你好,能请问一下DEFINE_SOURCE宏最后的返回的正数和负数分别代表什么意思啊?

BLAZE 发表于 2022-2-18 20:02:14

本帖最后由 BLAZE 于 2022-2-20 22:57 编辑

fluent吃土 发表于 2022-2-16 10:56
你好,能请问一下DEFINE_SOURCE宏最后的返回的正数和负数分别代表什么意思啊?
看定义的源项吧data:image/png;base64,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

BLAZE 发表于 2022-2-21 10:05:00

fluent吃土 发表于 2022-2-16 10:56
你好,能请问一下DEFINE_SOURCE宏最后的返回的正数和负数分别代表什么意思啊?

源项正代表源,负表示汇
页: [1]
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