Structural Performance Analysis and Optimization Design of Railway Pantograph Under High-Speed Operating Conditions

被引:2
|
作者
Wang, Xufan [1 ]
Liu, Zhigang [1 ]
Song, Yang [2 ,3 ]
Hu, Guiyang [1 ]
Zhou, Sheng [4 ]
Duan, Fuchuan [1 ]
Chen, Long [1 ]
机构
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China
[2] Southwest Jiaotong Univ, SWJTU Leeds Joint Sch, Chengdu 610031, Peoples R China
[3] Southwest Jiaotong Univ, Natl Rail Transit Electrificat & Automat Engn Tech, Chengdu 610031, Peoples R China
[4] CRRC Zhuzhou Inst Co Ltd, Zhuzhou 412001, Peoples R China
基金
中国国家自然科学基金;
关键词
Optimization; Finite element analysis; Dynamics; Vehicle dynamics; Rail transportation; Load modeling; Analytical models; Force; Damping; Stress; Dynamic structural performance; finite element method (FEM); high-speed railway; optimization; pantograph; CATENARY; ALGORITHM; QUALITY;
D O I
10.1109/TIM.2024.3470994
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In high-speed railways, the pantograph serves as the sole apparatus for collecting electric energy, directly impacting the operational safety of high-speed trains through its structural stability. As train speed increases, the interaction between the pantograph and the catenary becomes more pronounced, potentially compromising the structural safety of the pantograph during operation. Previous studies have not fully accounted for the significant effects of large fluctuations in the high-speed pantograph-catenary contact force on the pantograph structure. This article addresses the issue by establishing a comprehensive finite element model of the pantograph that incorporates parametric structural dimensions. The validation of the model is confirmed through lumped mass parameter identification and modal analysis tests. Additionally, a dynamic coupling model of the pantograph-catenary system is developed to assess the load impact on the pantograph. By applying the load, the dynamic deformation and stress of the pantograph are analyzed to identify critical structural locations during high-speed operation. The findings reveal that the structural strength of the pantograph at 400 km/h falls below the permissible threshold. Consequently, a neural network-based optimization approach is proposed to minimize the maximum stress and deformation of the pantograph at this speed. The pantograph's structural performance response surface is constructed using sensitivity analysis and a radial basis neural network. Finally, a multiobjective genetic algorithm (MOGA) is employed to search the response surface and achieve optimal results.
引用
收藏
页数:14
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