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| Parallel computing of large scale multipoint-base-excitation random vibration |
| Received:November 10, 2020 Revised:March 28, 2021 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20201110002 |
| KeyWord:large-scale FE analysis multipoint-base-excited random vibration PANDA platform parallel computing |
| Author | Institution |
| 宁民亮 |
中国工程物理研究院总体工程研究所, 绵阳 |
| 范宣华 |
中国工程物理研究院总体工程研究所, 绵阳 |
| 王柯颖 |
中国工程物理研究院总体工程研究所, 绵阳 |
| 陈璞 |
北京大学 力学与工程科学系, 北京 |
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| Abstract: |
| An effective method to solve the response prediction problem of large-scale complex equipment is to develop high-performance structural dynamic analysis software.Theoretical derivation was carried out for the multipoint-base-excited random vibration problem in this paper.Combined with the JAUMIN framework and PANDA platform to carry out algorithm design, and developed a multipoint-base-excited random vibration parallel analysis module.The correctness and parallel scalability of the algorithm and modules were verified through typical examples.The research results show that the analysis module can achieve the same calculation accuracy as some commercial FE software.Its parallel scalability can reach one billion degrees of freedom, and the parallel expansion efficiency of 10000 cores can reach more than 80%, far beyond the computing power of some commercial FE software.Related research is of great significance for achieving independent and controllable analysis software and carrying out the evaluation of complex equipment. |