Abstract

Many level set methods (LSMs) have been used for topology and shape optimization. An efficient topology optimization algorithm is proposed by combining a new bi-directional evolutionary criterion (BEC) with the local LSM (LLSM). The BEC is established using multiple discrete variables (DVs) and introduced into the bi-directional evolutionary structural optimization (BESO) method so that the DV-BESO method obtained can be applied to topology optimization. The LLSM is used instead of the global LSM due to its high efficiency. In the LLSM, the computational efficiency can be further improved by solving a distance regularized equation without the re-initialization procedure. Two benchmarks show the high efficiency of this proposed combined algorithm for topology and shape optimization.

Details

Title
Efficient Local Level Set Algorithm Combined with Bidirectional Evolutionary Criterion Using Discrete Variables and its Appliance to Topology and Shape Optimization
Author
Zhang, Wenhui 1 ; Liu, Jing 1 ; Xia, Zhenhua 1 ; Zhang, Yaoting 2 ; Yu, Niuben 3 

 Department of Human Settlement and Environment, Nanchang Institute of Science and Technology , 998 Gezaoshan Road, Nanchang, Jiangxi, 330108 , China 
 School of civil Engineering and Mechanics, Huazhong University of Science and Technology , 1037 Luoyu Road, Wuhan, Hubei, 430074 , China 
 The Second Geological Team of Jiangxi Geological Bureau , 202 Shili Avenue, Jiujiang, Jiangxi, 332000 , China 
First page
012040
Publication year
2022
Publication date
Jan 2022
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2635868130
Copyright
Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.