@article{Van2026, 
author = {Dong Doan Van and Phuoc Nguyen Huu and Hieu Vo Dinh and Tri Tran Cong},
title = {A multibody dynamics-based investigation of wheel-rail wear and rolling contact fatigue for high-speed railway applications in Vietnam},
year = {2026},
journal = {Railway Sciences},
volume = {5},
number = {3},
pages = {411-435},
keywords = {Rolling contact fatigue, High-speed railway, Multibody dynamics, Predictive maintenance, Wheel-rail interaction, Wheel wear evolution},
url = {https://www.sciopen.com/article/10.1108/RS-03-2026-0021},
doi = {10.1108/RS-03-2026-0021},
abstract = {PurposeHigh-speed railway development in Vietnam requires an early assessment of wheel-rail degradation mechanisms. This study investigates wheel wear evolution and rolling contact fatigue (RCF) risk under representative high-speed operating conditions.Design/methodology/approachA numerical framework integrating multibody vehicle dynamics and wear prediction modelling is developed. Vehicle-track interaction is simulated in VI-Rail using a standard ERRI passenger bogie model. Key wheel-rail contact parameters, including normal forces, creepages and contact locations, are extracted and used in an Archard-based wear model to predict wheel profile evolution, while RCF risk is assessed using Hertzian contact stress indicators.FindingsThe results show that wheel wear alters tread geometry, with a maximum wear depth of approximately 0.2–0.4 mm, affecting vehicle dynamics. The critical speed varies non-monotonically, increasing by about 3–5% at early stages and decreasing by 10–15% with further wear. Track irregularities raise creepage to the order of 10?3 and increase wear rate by 20–30%. These effects also indicate an elevated risk of RCF.Originality/valueThe study provides a multibody dynamics-based framework for analysing wheel wear and RCF in prospective Vietnamese high-speed railway applications. The proposed framework also provides a scientific basis for assessing wheel degradation and supporting infrastructure design, operational planning and predictive maintenance in high-speed railway systems.}
}