yuanyehit 发表于 2020-8-10 15:31

ANSYS谐响应结果调入virtual lab中报错

按照“利用ANSYS谐响应分析结果导入LMS Virtual lab中进行声学分析步骤”里面的步骤操作,更新“Acoustic Mesh Preprocessing Set.1”的时候报错如下,
改成间接边界元仍有这个错误,我怀疑是否与ANSYS剖分网格有关系,各位大神有知道怎么解决的嘛?

yuanyehit 发表于 2020-8-10 15:34

具体错误如下:
Detecting junctions and free edges...
ERROR: Problem occurred in junction detection.
The mesh topology might be incorrect: please check the connectivities of elements 21022 and 21024!
WARNING: The acoustic model contains junctions.
WARNING: This model is not suitable for BEM Direct Analysis.
Please set Model Type Definition to BEM Indirect Analysis.
Errors = 1; Warnings = 4

q910361955 发表于 2020-9-21 16:41

data:image/png;base64,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

q910361955 发表于 2020-9-21 16:42

需要可以联系

ecomings 发表于 2020-9-26 21:10

我最近也遇到这类问题,直接删除报错的两个单元后再处理还是报错,我推测是结构模型的问题。
你可以尝试一下把结构分解成两个文件分别导入。

Panamera 发表于 2021-3-12 12:23

请问楼主现在知道具体步骤了吗,可否指点一下,可有偿
页: [1]
查看完整版本: ANSYS谐响应结果调入virtual lab中报错