Bài báo khoa học Truy cập mở Tập 15, Số 05, tr. 73-86
Advances in prediction methods for wear of high-speed railway wheels: a review and future outlook
Hue Phuoc Lu, Van Dong Doan
- Ngày xuất bản
- 15/9/2026
Tóm tắt
Wheel wear is a critical degradation mechanism in railway systems, significantly influencing safety, ride comfort, maintenance costs, and lifecycle performance, particularly in high-speed railway (HSR) operations. Accurate prediction of wheel wear evolution remains challenging due to the strong coupling between wheel-rail (WR) contact mechanics, vehicle-track (VT) dynamics, material behavior, and operational variability. This paper provides a comprehensive review and comparative assessment of state-of-the-art wheel wear prediction methods, focusing on their applicability to HSR systems. Existing approaches are systematically categorized into five groups: empirical and semi-empirical models, physics-based contact and wear models, VT coupled multi-body dynamics (MBD) methods, experimental and measurement-driven approaches, and data-driven or hybrid frameworks. Each category is evaluated in terms of modeling assumptions, input requirements, predictive capability, computational efficiency, and suitability for high-speed conditions. A structured comparison highlights the strengths and limitations of different methodological classes, particularly regarding physical interpretability, scalability, and validation robustness. Key research gaps are identified, including limited integration of wear-fatigue interactions, challenges in cross-condition generalization, and insufficient field-based validation. Finally, emerging directions such as physics-informed data-driven models, real-time monitoring integration, and digital twin frameworks are discussed as promising pathways toward reliable and scalable wheel wear prediction in next-generation railway systems.
Từ khóa
- High-speed railway
- Numerical simulation
- Wheel wear prediction
- Wheel-rail contact
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