CLC number: TH161.12
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2017-07-12
Cited: 0
Clicked: 6400
Gong-quan Tao, Xing Du, He-ji Zhang, Ze-feng Wen, Xue-song Jin, Da-bin Cui. Development and validation of a model for predicting wheel wear in high-speed trains[J]. Journal of Zhejiang University Science A, 2017, 18(8): 603-616.
@article{title="Development and validation of a model for predicting wheel wear in high-speed trains",
author="Gong-quan Tao, Xing Du, He-ji Zhang, Ze-feng Wen, Xue-song Jin, Da-bin Cui",
journal="Journal of Zhejiang University Science A",
volume="18",
number="8",
pages="603-616",
year="2017",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1600693"
}
%0 Journal Article
%T Development and validation of a model for predicting wheel wear in high-speed trains
%A Gong-quan Tao
%A Xing Du
%A He-ji Zhang
%A Ze-feng Wen
%A Xue-song Jin
%A Da-bin Cui
%J Journal of Zhejiang University SCIENCE A
%V 18
%N 8
%P 603-616
%@ 1673-565X
%D 2017
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1600693
TY - JOUR
T1 - Development and validation of a model for predicting wheel wear in high-speed trains
A1 - Gong-quan Tao
A1 - Xing Du
A1 - He-ji Zhang
A1 - Ze-feng Wen
A1 - Xue-song Jin
A1 - Da-bin Cui
J0 - Journal of Zhejiang University Science A
VL - 18
IS - 8
SP - 603
EP - 616
%@ 1673-565X
Y1 - 2017
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A1600693
Abstract: In this paper, we present a comprehensive model for the prediction of the evolution of high-speed train wheel profiles due to wear. The model consists of four modules: a multi-body model implemented with the commercial multi-body software SIMPACK to evaluate the dynamic response of the vehicle and track; a local contact model based on Hertzian theory and a novel method, named FaStrip (Sichani et al., 2016), to calculate the normal and tangential forces, respectively; a wear model proposed by the University of Sheffield (known as the USFD wear function) to estimate the amount of material removed and its distribution along the wheel profile; and a smoothing and updating strategy. A simulation of the wheel wear of the high-speed train CRH3 in service on the Wuhan-Guangzhou railway line was performed. A virtual railway line based on the statistics of the line was used to represent the entire real track. The model was validated using the wheel wear data of the CRH3 operating on the Wuhan-Guangzhou line, monitored by the authors’ research group. The results of the predictions and measurements were in good agreement.
The paper presents a model for the prediction of wheel wear in high-speed trains and comparisons with experimental measurements. The model itself is not new, apart from using a different (and already published) method for solving local contact compared to other models having the same purpose and already published. However, the comparison with experimental data is interesting.
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