A topology optimization framework for 3D phononic crystals via the method of successive iteration of analysis and design

被引:6
|
作者
Zhu, Yixiao [1 ]
Kang, Zhan [1 ]
机构
[1] Dalian Univ Technol, State Key Lab Struct Anal Optimizat & CAE Software, Dalian 116024, Peoples R China
基金
美国国家科学基金会;
关键词
Topology optimization; Phononic crystals; Bandgap; Successive iteration of analysis and design; Sensitivity analysis; WAVE-PROPAGATION; BAND-STRUCTURE; GAPS;
D O I
10.1016/j.compstruct.2023.117641
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Topology optimization has become a useful tool for designing Phononic Crystals (PnCs) to achieve desired elastic wave propagation properties. However, topological design of three-dimensional (3D) PnCs remains a significant challenge due to extremely high computational cost required for the repeated solution of the nested double-loop problem of design optimization and eigenvalue analysis to determine the band structure during the optimization iteration process. This paper presents a more efficient topology optimization method based on the concept of successive iteration of analysis and design. The method employs a sequential approximation of the eigenpairs through an inverse iteration-like procedure to avoid solving the expensive eigenvalue problems in each design iteration. To further improve the efficiency of the design iteration, the eigenmodes of the intermediate PnCs designs are first computed on a relatively coarse finite element mesh. Then they are mapped onto the fine mesh and used as the initial trial eigenmodes in the eigenpair analysis and design sensitivity analysis. The high effi-ciency of the proposed method, as compared with conventional nested double-loop optimization approaches, is demonstrated by 3D numerical examples with over one million degrees of freedom. It is shown that this approach can achieve simultaneous convergence of the eigenvectors along with the design evolution of the unit cell, therefore substantially reduces the computational burden for high-resolution topological design of 3D PnCs.
引用
收藏
页数:12
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