Prediction of Crosswind-Induced Derailment of Train–Rail–Bridge System by Vector Mechanics
Publication: Journal of Engineering Mechanics
Volume 146, Issue 12
Abstract
A train–rail–bridge (TRB) interaction model of vector mechanics (VM) is developed to predict the derailment of a train traveling over cable-supported bridges under crosswinds. The aerodynamic coefficients measured from the bridge section-model in wind tunnel testing is used to simulate the unsteady wind pressure acting on the train-bridge system by buffeting forces in the time domain. A versatile wheel-rail contact model considering the wheel-rail contact geometry is then formulated to assess the risk of derailment of a running train. The feasibility and effectiveness of the proposed VM-TRB model are verified by comparison with a conventional finite element procedure. To assess the running safety of the train, a two-phase plot of derailment factors for each pair of wheelsets is generated. The plots indicate that both wind velocity and train speed are critical factors that lead the train cars to potential derailment. Nevertheless, the linking railcar couplers play a holding role in reducing the separation or jumping of the moving wheels from the rail. The case study well demonstrates the capability of the VM-TRB model in dealing with train derailment.
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Data Availability Statement
All of the data, models, or code that support the findings of this study are available from the corresponding author on reasonable request.
Acknowledgments
The work described in this paper was supported by the National Key R&D Program of China (Grant Nos. 2018YFE0125400 and 2017YFC0806100), the National Natural Science Foundation of China (Grant Nos. U1709216, 51522811, 51478429, and 90915008), the Zhejiang Provincial Natural Science Foundation of China (Grant No. LR13E080001), the Fundamental Research Funds for the Central Universities of China (Grant No. 2015XZZX004-28), the Ministry of Science and Technology of Taiwan (Grant Nos. MOST102-2923-E-032-002-MY3, 106-2221-E-032-022, and 106-2923-E-002-007-MY3), the Research Grants Council of the Hong Kong Special Administrative Region (SAR), China (Grant No. R-5020-18), and the Innovation and Technology Commission of the Hong Kong SAR Government (Grant No. K-BBY1).
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Published In
Journal of Engineering Mechanics
Volume 146 • Issue 12 • December 2020
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Jan 13, 2020
Accepted: Jul 29, 2020
Published online: Sep 22, 2020
Published in print: Dec 1, 2020
Discussion open until: Feb 22, 2021
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