Research on Lightweight Rail Vehicle Body Based on Sensitivity Analysis

被引:2
作者
Yin, Jian [1 ]
Zhang, Qingchao [1 ]
Li, Xianglong [1 ]
Zhu, Yaoyao [2 ]
Liu, Ziyuan [1 ]
Liu, Yu [1 ]
Sha, Zhihua [1 ]
机构
[1] Dalian Jiaotong Univ, Sch Mech Engn, 794 Huanghe Rd, Dalian 116028, Peoples R China
[2] Nanjing Metro, 228 Zhongshan Rd, Nanjing 210018, Peoples R China
来源
JOURNAL OF ENGINEERING AND TECHNOLOGICAL SCIENCES | 2024年 / 56卷 / 03期
基金
中国国家自然科学基金;
关键词
body section structure; lightweight vehicle body; rail vehicle; sensitivity analysis; topology optimization;
D O I
10.5614/j.eng.technol.sci.2024.56.3.4
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In view of the development trend of rail vehicles towards higher operating speed and low power consumption, a scheme for a lightweight rail vehicle body is proposed, based on sensitivity analysis. Using topology optimization of the vehicle body section structure, finite element models of the vehicle body section structure under single working conditions and multiple working conditions were established, respectively, and the force transmission path of the vehicle body structure under different working conditions was obtained under different working conditions. The topology of the cross-sectional structure of the vehicle body was optimized by the compromise planning method with weights. Then, a reconstruction and performance analysis of the car body section was carried out based on the optimization results and finally the finite difference method was used to analyze the sensitivity of the vehicle body structure and the vehicle body size was optimized based on the sensitivity analysis results. The results showed that the weight reduction rate of the railway vehicle body section stiffened plate was 4.47% compared to the optimization period and the modal performance analysis results of the optimized structure met the requirements. The weight reduction ratio of the optimized body structure was 21.6%.
引用
收藏
页码:353 / 366
页数:14
相关论文
共 50 条
[21]   Human-in-the-loop optimization for vehicle body lightweight design [J].
Hao, Jia ;
Deng, Ruofan ;
Jia, Liangyue ;
Li, Zuoxuan ;
Alizadeh, Reza ;
Soltanisehat, Leili ;
Liu, Bingyi ;
Sun, Zhibin ;
Shao, Yiping .
ADVANCED ENGINEERING INFORMATICS, 2024, 62
[22]   Study on Lightweight Design of Integrated Mega-casting Aluminum Alloy Vehicle Body Components [J].
Liu, Bo ;
Tang, Yongxin ;
Wu, Yi ;
Wang, Ziyang ;
Yang, Qin ;
Hu, Tiegang ;
Xu, Xiaomin .
Qiche Gongcheng/Automotive Engineering, 2024, 46 (12) :2154-2163
[23]   Sensitivity analysis based Model Validation for Hypersonic Vehicle Model [J].
Zeng Fanlin ;
Zong Qun ;
Zhang Xibin ;
You Ming .
2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, :6287-6292
[24]   Electric Vehicle Charging Station Planning Based on Sensitivity Analysis [J].
Cui, Shiwei ;
Ai, Xin ;
Dong, Ruoxi ;
Liang, Weiquan ;
Dong, Chunfa .
2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) ASIA-PACIFIC 2014, 2014,
[25]   Research of the Drive Mode and Reliability for Rail Vehicle LED Drive System [J].
Zhang, Bangcheng ;
Su, Hong ;
Yin, Xiaojing ;
Chen, Minmin ;
Gao, Zhi .
2016 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHENGDU), 2016,
[26]   Transport of DE-LIGHT: the design and prototyping of a lightweight crashworthy rail vehicle driver's cab [J].
Robinson, Mark ;
Carruthers, Joe ;
O'Neill, Conor ;
Ingleton, Stephen ;
Grasso, Marzio .
TRANSPORT RESEARCH ARENA 2012, 2012, 48 :672-681
[27]   Design of lightweight hydraulic power unit for legged robots based on the Sobol sensitivity analysis [J].
Yu, Bin ;
Li, Huashun ;
Gu, Chengze ;
Shen, Ao ;
Zhang, Shuai ;
Liu, Xu ;
Li, Jingbin ;
Ba, Kaixian ;
Ma, Guoliang ;
Kong, Xiangdong .
ENERGY CONVERSION AND MANAGEMENT, 2025, 328
[29]   Multi-parameter similarity model-based lightweight design of battery electric vehicle body-in-white [J].
Liu, Ke ;
Liao, Yinghua ;
Tong, Xingbing ;
Zhang, Liangdong ;
Zhou, Junchao .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2025, 239 (08) :3100-3119
[30]   Sensitivity Analysis on Energy Consumption of PHEV Based on Real Vehicle Road Data [J].
Xia H. ;
Wang B. ;
Wu G. ;
Li T. ;
Tong R. .
Qiche Gongcheng/Automotive Engineering, 2019, 41 (09) :990-997