上海交通大学学报 ›› 2020, Vol. 54 ›› Issue (12): 1324-1334.doi: 10.16183/j.cnki.jsjtu.2020.99.001
收稿日期:
2019-12-04
出版日期:
2020-12-01
发布日期:
2020-12-31
通讯作者:
马超
E-mail:machaomit@163.com
作者简介:
高云凯(1963-),男,黑龙江省哈尔滨市人,教授,博士生导师,主要研究方向为车身结构分析与优化设计.
基金资助:
GAO Yunkai1, MA Chao1(), LIU Zhe1, TIAN Linli2,3
Received:
2019-12-04
Online:
2020-12-01
Published:
2020-12-31
Contact:
MA Chao
E-mail:machaomit@163.com
摘要:
针对第3代非支配排序遗传算法 (NSGA-III)求解离散拓扑优化收敛性差的问题,提出一种改进的NSGA-III (mNSGA-III),用于某白车身焊装生产平台的结构优化.提出新型极值点选择算法,以稳定种群中个体的归一化过程.建立该生产平台的有限元模型,并以其总质量、最大应力和多个节点的z向位移最小为目标,进行离散拓扑优化.利用MATLAB集成MSC.Nastran软件,二次开发离散拓扑优化程序.通过优化、筛选,获得合理的杆件布置设计方案,使得结构总质量降低了30.1%,且刚度和强度均符合标准.优化结果表明,mNSGA-III 在求解高维多目标离散拓扑优化方面,具有计算过程稳定、收敛速度较快等优点,为大型钢结构的优化设计提供了新方法,具备工程实际应用价值.
中图分类号:
高云凯, 马超, 刘哲, 田林雳. 基于NSGA-III的白车身焊装生产平台的离散拓扑优化[J]. 上海交通大学学报, 2020, 54(12): 1324-1334.
GAO Yunkai, MA Chao, LIU Zhe, TIAN Linli. Discrete Topology Optimization of Body-in-White Welding Production Platform Based on NSGA-III[J]. Journal of Shanghai Jiao Tong University, 2020, 54(12): 1324-1334.
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