工程结构大特征值问题的并行计算

Xuanhua Fan, Rui-an Wu, Pu Chen, Zuogui Ning, J. Li
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引用次数: 0

摘要

针对工程结构模态分析中存在的大而稀疏的特征值问题,综述了几种主要算法及其相应的软件包。将这些软件包集成到有限元并行计算框架panda中,构建了一个并行求解系统。在商用软件msc中建立工程结构的有限元模型。Patran。基于PANDA和MSC之间的接口。然后,将模型信息在PANDA中进行转换,以并行方式生成刚度和质量矩阵。利用这些矩阵,通过调用PANDA中的软件包进行特征值的大规模并行计算。数值结果表明,PANDA框架能够进行特征值问题的大规模并行计算;借助于超级计算机,计算规模达到百万自由度;并且并行效率是有利的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel Computing of Large Eigenvalue Problems for Engineering Structures
Aimed at large, sparse eigenvalue problems in modal analysis of engineering structures, some predominant algorithms and their corresponding software packages are summarized. A parallel solving system was constructed via integrating these software packages into the finite-element parallel computing framework-PANDA. The finite element model (FEM) of engineering structures was built in pre-processing commercial software-MSC. Patran. Based on the interface between PANDA and MSC. Patran, the model information was translated in PANDA to generate stiffness and mass matrices in a parallel way. Utilizing these matrices, a large-scale parallel computing of eigenvalues was carried out via calling software packages in PANDA. The numerical results show that PANDA frame is competent for carrying out large-scale parallel computing of eigenvalue problems; in virtue of supercomputer, the computing scale attains millions of freedom degrees; and the parallel efficiency is favorable.
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