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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Editorial Office of Journal of Shanghai Jiao Tong University
2020
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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) |
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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 |
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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 |
work_keys_str_mv |
AT gaoyunkai discretetopologyoptimizationofbodyinwhiteweldingproductionplatformbasedonnsgaiii AT machao discretetopologyoptimizationofbodyinwhiteweldingproductionplatformbasedonnsgaiii AT liuzhe discretetopologyoptimizationofbodyinwhiteweldingproductionplatformbasedonnsgaiii AT tianlinli discretetopologyoptimizationofbodyinwhiteweldingproductionplatformbasedonnsgaiii |
_version_ |
1718444970015195136 |