AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1.2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Topological optimization algorithm for mechanical-electrical coupling of periodic composite materials

Ziqiang WangChunyu CenJunying Cao( )
School of Data Science and Information Engineering, Guizhou Minzu University, Guiyang 550025, China
Show Author Information

Abstract

In this paper, a topology optimization algorithm for the mechanical-electrical coupling problem of periodic composite materials is studied. Firstly, the homogenization problem of the mechanical-electrical coupling topology optimization problem of periodic composite materials is established by the multi-scale asymptotic expansion method. Secondly, the topology optimization algorithm for the mechanical-electrical coupling problem of periodic composite materials is constructed by finite element method, solid isotropic material with penalisation method and homogenization method. Finally, numerical results show that the proposed algorithm is effective to calculate the optimal structure of the periodic composite cantilever beam under the influence of the mechanical-electrical coupling.

References

【1】
【1】
 
 
Electronic Research Archive
Pages 2689-2707

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Wang Z, Cen C, Cao J. Topological optimization algorithm for mechanical-electrical coupling of periodic composite materials. Electronic Research Archive, 2023, 31(5): 2689-2707. https://doi.org/10.3934/era.2023136

13

Views

1

Downloads

2

Crossref

2

Web of Science

2

Scopus

Received: 31 December 2022
Revised: 24 February 2023
Accepted: 06 March 2023
Published: 15 May 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)