Discrete Topology Optimization of Body-in-White Welding Production Platform Based on NSGA-III

This paper proposes a modified third generation non-dominated sorting genetic algorithm (mNSGA-III) to overcome the poor convergence of third generation non-dominated sorting genetic algorithm (NSGA-III) in handling discrete topology optimization. It uses the mNSGA-III for the structural optimizatio...

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Autores principales: GAO Yunkai, MA Chao, LIU Zhe, TIAN Linli
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Publicado: Editorial Office of Journal of Shanghai Jiao Tong University 2020
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spelling oai:doaj.org-article:775453fb15414fb793f13670aa1a99602021-11-04T09:34:51ZDiscrete Topology Optimization of Body-in-White Welding Production Platform Based on NSGA-III1006-246710.16183/j.cnki.jsjtu.2020.99.001https://doaj.org/article/775453fb15414fb793f13670aa1a99602020-12-01T00:00:00Zhttp://xuebao.sjtu.edu.cn/CN/10.16183/j.cnki.jsjtu.2020.99.001https://doaj.org/toc/1006-2467This paper proposes a modified third generation non-dominated sorting genetic algorithm (mNSGA-III) to overcome the poor convergence of third generation non-dominated sorting genetic algorithm (NSGA-III) in handling discrete topology optimization. It uses the mNSGA-III for the structural optimization of a body-in-white (BIW) welding production platform. It proposes an advanced extreme point selection to stabilize the normalization of populations. It constructs the finite element model of BIW welding production platform. Using discrete topology optimization, it treats the total mass, maximum stress and z-direction displacements of several nodes of platform as objective functions. It developed a discrete topology optimization program by using MATLAB interfaced the commercial finite element code MSC.Nastran. Finally, it selected the design with appropriate layout in view of stiffness and strength of the structure. The optimal design conforms to the design standards and the total mass reduces by 30.1%. The results show that mNSGA-III gets a more stable optimization process and easy to converge when solving the multi-objective discrete topology optimization problems. The proposed method provides an applicable method for the optimization of giant steel structures and has great values for practical engineering problem.GAO YunkaiMA ChaoLIU ZheTIAN LinliEditorial Office of Journal of Shanghai Jiao Tong Universityarticlediscrete topology optimizationmulti-objective optimizationnon-dominated sortinggenetic algorithmEngineering (General). Civil engineering (General)TA1-2040Chemical engineeringTP155-156Naval architecture. Shipbuilding. Marine engineeringVM1-989ZHShanghai Jiaotong Daxue xuebao, Vol 54, Iss 12, Pp 1324-1334 (2020)
institution DOAJ
collection DOAJ
language ZH
topic discrete topology optimization
multi-objective optimization
non-dominated sorting
genetic algorithm
Engineering (General). Civil engineering (General)
TA1-2040
Chemical engineering
TP155-156
Naval architecture. Shipbuilding. Marine engineering
VM1-989
spellingShingle discrete topology optimization
multi-objective optimization
non-dominated sorting
genetic algorithm
Engineering (General). Civil engineering (General)
TA1-2040
Chemical engineering
TP155-156
Naval architecture. Shipbuilding. Marine engineering
VM1-989
GAO Yunkai
MA Chao
LIU Zhe
TIAN Linli
Discrete Topology Optimization of Body-in-White Welding Production Platform Based on NSGA-III
description This paper proposes a modified third generation non-dominated sorting genetic algorithm (mNSGA-III) to overcome the poor convergence of third generation non-dominated sorting genetic algorithm (NSGA-III) in handling discrete topology optimization. It uses the mNSGA-III for the structural optimization of a body-in-white (BIW) welding production platform. It proposes an advanced extreme point selection to stabilize the normalization of populations. It constructs the finite element model of BIW welding production platform. Using discrete topology optimization, it treats the total mass, maximum stress and z-direction displacements of several nodes of platform as objective functions. It developed a discrete topology optimization program by using MATLAB interfaced the commercial finite element code MSC.Nastran. Finally, it selected the design with appropriate layout in view of stiffness and strength of the structure. The optimal design conforms to the design standards and the total mass reduces by 30.1%. The results show that mNSGA-III gets a more stable optimization process and easy to converge when solving the multi-objective discrete topology optimization problems. The proposed method provides an applicable method for the optimization of giant steel structures and has great values for practical engineering problem.
format article
author GAO Yunkai
MA Chao
LIU Zhe
TIAN Linli
author_facet GAO Yunkai
MA Chao
LIU Zhe
TIAN Linli
author_sort GAO Yunkai
title Discrete Topology Optimization of Body-in-White Welding Production Platform Based on NSGA-III
title_short Discrete Topology Optimization of Body-in-White Welding Production Platform Based on NSGA-III
title_full Discrete Topology Optimization of Body-in-White Welding Production Platform Based on NSGA-III
title_fullStr Discrete Topology Optimization of Body-in-White Welding Production Platform Based on NSGA-III
title_full_unstemmed Discrete Topology Optimization of Body-in-White Welding Production Platform Based on NSGA-III
title_sort discrete topology optimization of body-in-white welding production platform based on nsga-iii
publisher Editorial Office of Journal of Shanghai Jiao Tong University
publishDate 2020
url https://doaj.org/article/775453fb15414fb793f13670aa1a9960
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AT machao discretetopologyoptimizationofbodyinwhiteweldingproductionplatformbasedonnsgaiii
AT liuzhe discretetopologyoptimizationofbodyinwhiteweldingproductionplatformbasedonnsgaiii
AT tianlinli discretetopologyoptimizationofbodyinwhiteweldingproductionplatformbasedonnsgaiii
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