首页> 外文会议>International Conference on Future Computer Sciences and Application >Parallel Computing of Large Eigenvalue Problems for Engineering Structures
【24h】

Parallel Computing of Large Eigenvalue Problems for Engineering Structures

机译:工程结构大型特征值问题的平行计算

获取原文

摘要

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.
机译:针对工程结构的模态分析中的大,稀疏的特征值问题,总结了一些主要的算法及其相应的软件包。 通过将这些软件包集成到有限元并行计算框架-Panda中,通过将这些软件包集成到平行求解系统。 工程结构的有限元模型(FEM)建立在预处理商业软件-MSC中。 帕特曼。 基于熊猫和MSC之间的界面。 帕特曼,模型信息在熊猫中翻译,以并行方式产生刚度和大众矩阵。 利用这些矩阵,通过熊猫呼叫软件包进行特征值的大规模并行计算。 数值结果表明,熊猫框架是执行特征值问题的大规模平行计算的能力; 凭借超级计算机,计算规模达到数百万自由度; 并行效率有利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号