基于大规模并行计算的三维薄壁填充结构特征频率拓扑优化设计

Yingchun Bai*, Kang Liu, Chao Li, Xu Han

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

A large-scale parallel topology optimization framework is developed to maximize the eigenfrequency of 3D shell-infill structures. The shell and infill are described through the two-step filtering approach, then the topology optimization model of the shell-infill structure with eigenfrequency objective and mass fraction constraint is built. The parallel solution of filtering equations and generalized eigenvalue equations is based on two software libraries called PETSc and SLEPc. Sensitivities of eigenfrequency and mass with respect to the design variables are derived, which are submitted to the solver of the method of moving asymptotes(MMA) for design variable updating until convergence. During the topology optimization, the modal-assurance-criterion-based(MAC) mode-tracking strategy is employed to handle the mode switching problem. Numerical examples with different mass fraction constraints are investigated to demonstrate the algorithm validity. Finally, the topology optimization design of 3D shell-infill structures with 700, 000 degrees of freedom is realized and the influence of the number of CPU cores on the performance of the algorithm is analyzed, which reduces the computing time by 43.7% with 28 cores compared with 12 cores. The topology optimization method of shell-infill structures is extended to be applicable to eigenfrequency maximization and large-scale parallel computing, which provides an effective idea for lightweight design of complex equipment structures.

投稿的翻译标题Eigenfrequency Topology Optimization of 3D Shell-infill Structures Based on Large-scale Parallel Computing
源语言繁体中文
页(从-至)32-40
页数9
期刊Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering
60
11
DOI
出版状态已出版 - 6月 2024

关键词

  • eigenfrequency topology optimization
  • parallel computing
  • shell-infill structures
  • two-step filtering

指纹

探究 '基于大规模并行计算的三维薄壁填充结构特征频率拓扑优化设计' 的科研主题。它们共同构成独一无二的指纹。

引用此