A triple acceleration method for topology optimization

被引：0
作者：
Zhongyuan Liao
Yu Zhang
Yingjun Wang
Weihua Li
机构：
[1] South China University of Technology,National Engineering Research Center of Novel Equipment for Polymer Processing, Key Laboratory of Polymer Processing Engineering (South China University of Technology), Ministry of Education, Guangdong Provincial Key La
[2] South China University of Technology,National Engineering Research Center of Near
来源：
Structural and Multidisciplinary Optimization | 2019年 / 60卷
关键词：
Topology optimization; Triple acceleration; Multilevel mesh; Preconditioned conjugate-gradient method; Local update;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a triple acceleration method (TAM) for the topology optimization (TO), which consists of three parts: multilevel mesh, initial-value-based preconditioned conjugate-gradient (PCG) method, and local-update strategy. The TAM accelerates TO in three aspects including reducing mesh scale, accelerating solving equations, and decreasing the number of updated elements. Three benchmark examples are presented to evaluate proposed method, and the result shows that the proposed TAM successfully reduces 35–80% computational time with faster convergence compared to the conventional TO while the consistent optimization results are obtained. Furthermore, the TAM is able to achieve a higher speedup for large-scale problems, especially for the 3D TOs, which demonstrates that the TAM is an effective method for accelerating large-scale TO problems.
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页码：727 / 744
页数：17
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