Fatigue Strength Analysis of Bogie Frame In Consideration of Parameter Uncertainty

Bingzhi Chen; Pengpeng Zhi; Yonghua Li

doi:10.3221/IGF-ESIS.48.37

Authors

Bingzhi Chen
Pengpeng Zhi
Yonghua Li School of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University

DOI:

https://doi.org/10.3221/IGF-ESIS.48.37

Keywords:

Bogie frame, Fatigue strength, Goodman-Smith fatigue limit diagram, Response surface, Fatigue reliability

Abstract

In this paper, a fatigue strength analysis approach based on Goodman-Smith fatigue limit diagram （GSFLD） and reliability theory is proposed to solve the problem that the traditional fatigue strength analysis of bogie frame is too conservative, considering the parameter uncertainty in engineering practice. Firstly, according to UIC615-4, EN13749 standard and GSFLD, the fatigue strength of the frame is calculated. The experimental results are compared with the simulation data to determine the location of the higher fatigue strength as the control point for the strength evaluation. Secondly, the parametric model of the frame is established by APDL language, and the D-optimal experiment design of uncertainty parameters is carried out. The polynomial response surface function with the mean stress and stress amplitude of the control point as the objective is established. The control points under the influence of uncertainty parameters are obtained by importance sampling method. Finally, the functional expression of GSFLD without considering the safety factor is derived, and the fatigue strength reliability of control point is calculated. The results of this study not only reveal the influence of parameter uncertainty on fatigue strength, but also demonstrate a need of developing new evaluation methods to accommodate fatigue analysis.

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Author Biographies

Bingzhi Chen

Bingzhi Chen is a professor and PhD supervisor at Dalian Jiaotong University of China. He is the vice president of Dalian Jiaotong University and also an academic leader of the Vehicle Structure Design and Collaborative Optimization. His main research interests include railway vehicles engineering, virtual prorotype, numerical simulation, and structure optimization, biomechanics. In the recent 5 years, Prof. Chen has been in charge of several research projects, with two projects on National Natural Science Funds, two projects funded by Ministry of Railways, one by National Postdoctoral Fund, and one by National Science and Technology Support Program. He has completed one of National 863 Project.
Pengpeng Zhi

Pengpeng Zhi is currently a Ph.D. candidate of Dalian Jiaotong University, Dalian. His research interests include fatigue reliability analysis of vehicle structures, uncertainty analysis and optimization.
Yonghua Li, School of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University

Yonghua Li is currently a professor in School of Locomotive and Rolling Stock Engineering at Dalian Jiaotong University. She received a Ph.D. Degree in Mechanical design and theory from Dalian University of Technology, Dalian. Her main research interests are in the area of fatigue reliability analysis of vehicle structures, digital simulation and optimization design of mechanical products, quality and RAMS Engineering. In recent years, Prof. Li has been in charge of State-Key Laboratory of Traction power Opening Project, Liaoning Natural Science Foundation project, Liaoning Provincial Department of education research platform project. She has published several papers in famous journals both at home and abroad, among which 17 have been retrieved by SCI/EI.