• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2025, Vol. 61 ›› Issue (10): 376-385.doi: 10.3901/JME.2025.10.376

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Method for Predicting Wheel Damage in High-speed Trains Based on Damage Functions and Combinations of Typical Line Operating Conditions

XIAO Qian1, SHI Xiaodie1, CHEN Daoyun1, LIU Xinlong1, YANG Wenbin1, CHANG Chao1,2   

  1. 1. Key Laboratory of Railway Industry on Intelligent Operation and Maintenance for Locomotive and Vehicle, East China Jiaotong University, Nanchang 330013;
    2. State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu 610031
  • Received:2024-05-08 Revised:2025-02-01 Published:2025-07-12

Abstract: Wear and rolling contact fatigue are the two main forms of damage to the wheels of high-speed trains. To predict the damage to the wheels of high-speed trains operating on actual lines, a model of the Fuxing high-speed train is first established using dynamic software UM. Four typical line conditions are designed based on actual high-speed railway line conditions parameters. The four typical line conditions are combined and dynamically simulated. Based on the safety and comfort calculation of the vehicle model, the effectiveness of the vehicle model is verified. By separately simulating the wheel-rail creep force and wheel-rail creep rate under each typical line working condition, combined with the wheel damage function, the wheel wear and rolling contact fatigue damage under each typical working condition are calculated and obtained. Based on the damage accumulation principle, the cumulative damage of the wheels under each typical line working condition combination is obtained. Compared with the one time simulation results under the completed and combined line working condition, the feasibility of predicting combined working condition damage based on individual working condition cumulative damage is verified. Furthermore, based on this principle, the wheel damage under any two combined working conditions is predicted, providing an efficient and accurate new approach for future wheel damage prediction.

Key words: wear, rolling contact fatigue, combined line working condition, EMU wheels, damage prediction

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