急求解决,star ccm cgns 文件导入virtual lab
给大家拜年了使用的lv 版本为13.6,我导入的cgns 文件时间步长4e-4s,每隔一个时间步导出一个cgns,一共540个cgns文件,也就是0.216s,按照计算应该得到的频率是4.63Hz-2500Hz。但使用vl算出来监测点频率从几千开始到几十万赫兹,这个是什么原因。与声网格尺寸有关吗?data:image/png;base64,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
从这里获得的噪声和计算结果一致,没有设置频率限制。
把数据导出后频率间隔1e-6的两倍。
这些是设置的问题吗?孤立无援,也没有师兄可以请教,还请各位大神不吝赐教。
第二个问题是计算一直出现内存不足的问题,我的工作站96G内存,怎么会不够呢。节点数10w,是不是多了。
本帖最后由 shengxue 于 2021-2-20 15:40 编辑
C:\Users\HP\Desktop 第一次发帖,图片没发出去,再发一次 请问楼主问题解决了没?同样遇到这种问题。
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