Structural optimization design of a bolster based on simulation driven design method

IF 2.7 4区 工程技术 Q2 TRANSPORTATION SCIENCE & TECHNOLOGY Transportation Safety and Environment Pub Date : 2022-12-21 DOI:10.1093/tse/tdac075
Xinkang Li, Fei Peng, Zeyun Yang, Yong Peng, Jiahao Zhou
{"title":"Structural optimization design of a bolster based on simulation driven design method","authors":"Xinkang Li, Fei Peng, Zeyun Yang, Yong Peng, Jiahao Zhou","doi":"10.1093/tse/tdac075","DOIUrl":null,"url":null,"abstract":"\n Simulation driven design method which use multiple optimization methods can effectively promote innovative structural design and reduce product development cycle. Meanwhile, the submodel technology which proceed more detailed simulation and optimization analysis can enormously improve the efficiency of modeling and solving. This study establishes a general workflow of structural optimization for stainless-steel metro bolster by combining the simulation driven design method and the submodel technology. In the submodel definition phase, the end underframe submodel which contains the bolster is obtained based on the whole car body FE model, and the effectiveness of the end underframe submodel is also proved. In the conceptual design phase, the topology path inside the bolster is obtained by topology method and the optimized structure of the inner ribs inside the bolster is determined according to manufacturing processes and design experiences. In the detailed design phase, the thicknesses of each part of the bolster are determined by size optimization. The simulation analyses indicate that the requirements of static strength and fatigue strength are fulfilled by the optimized bolster structure. Besides, the weight can be reduced by 11.18% and the weld length can be decreased by 17.79% compared with the original bolster structure, which means that not only the lightweight design goal is achieved, but also the welding quantity and manufacturing difficulty are greatly reduced. The results show the effectiveness of the simulation driven design method based on the submodel technology in the structural optimization for key parts of the rail transit vehicles.","PeriodicalId":52804,"journal":{"name":"Transportation Safety and Environment","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Safety and Environment","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1093/tse/tdac075","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Simulation driven design method which use multiple optimization methods can effectively promote innovative structural design and reduce product development cycle. Meanwhile, the submodel technology which proceed more detailed simulation and optimization analysis can enormously improve the efficiency of modeling and solving. This study establishes a general workflow of structural optimization for stainless-steel metro bolster by combining the simulation driven design method and the submodel technology. In the submodel definition phase, the end underframe submodel which contains the bolster is obtained based on the whole car body FE model, and the effectiveness of the end underframe submodel is also proved. In the conceptual design phase, the topology path inside the bolster is obtained by topology method and the optimized structure of the inner ribs inside the bolster is determined according to manufacturing processes and design experiences. In the detailed design phase, the thicknesses of each part of the bolster are determined by size optimization. The simulation analyses indicate that the requirements of static strength and fatigue strength are fulfilled by the optimized bolster structure. Besides, the weight can be reduced by 11.18% and the weld length can be decreased by 17.79% compared with the original bolster structure, which means that not only the lightweight design goal is achieved, but also the welding quantity and manufacturing difficulty are greatly reduced. The results show the effectiveness of the simulation driven design method based on the submodel technology in the structural optimization for key parts of the rail transit vehicles.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于仿真驱动设计方法的摇枕结构优化设计
采用多种优化方法的仿真驱动设计方法可以有效地促进结构设计的创新,缩短产品开发周期。同时,子模型技术进行更详细的仿真和优化分析,可以极大地提高建模和求解的效率。本研究将仿真驱动设计方法与子模型技术相结合,建立了不锈钢地铁摇枕结构优化的通用工作流程。在子模型定义阶段,基于整车有限元模型,得到了包含摇枕的端部底架子模型,并验证了端部底架模型的有效性。在概念设计阶段,根据制造工艺和设计经验,采用拓扑法获得摇枕内部的拓扑路径,确定摇枕内部肋的优化结构。在详细设计阶段,摇枕各部分的厚度通过尺寸优化来确定。仿真分析表明,优化后的摇枕结构满足了静强度和疲劳强度的要求。此外,与原摇枕结构相比,重量可减少11.18%,焊缝长度可减少17.79%,这意味着不仅实现了轻量化设计目标,而且大大减少了焊接数量和制造难度。结果表明,基于子模型技术的仿真驱动设计方法在轨道交通车辆关键零部件结构优化中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Transportation Safety and Environment
Transportation Safety and Environment TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
3.90
自引率
13.60%
发文量
32
审稿时长
10 weeks
期刊最新文献
A maneuver indicator and ensemble learning-based risky driver recognition approach for highway merging areas Unraveling the veil of traffic safety: A comprehensive analysis of factors influencing crash frequency across U.S. States An investigation of ADAS testing scenarios based on vehicle-to-powered two-wheeler accidents occurring in a county-level district in Hunan province Research on intelligent fault diagnosis for railway point machines using deep reinforcement learning A variable time headway model for mixed car-following process considering multiple front vehicles information in foggy weather
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1