Paper
22 December 2022 Assessment of overturning risk of railway vehicles in crosswinds
Zhiyong Yao, Shengjie Deng, Xiaoda Li
Author Affiliations +
Proceedings Volume 12460, International Conference on Smart Transportation and City Engineering (STCE 2022); 124600J (2022) https://doi.org/10.1117/12.2658133
Event: International Conference on Smart Transportation and City Engineering (STCE 2022), 2022, Chongqing, China
Abstract
This paper presents an analytical method for calculating the stability of rolling stock to address some overturning problems associated with the railway vehicles in crosswinds. Based on the quasi-steady theory, a calculation formula with consideration of the effects of different turbulent components and various incoming wind direction, is proposed to predict the aerodynamic forces on the moving vehicle. A steady overturning model and the dynamic multi-body simulation (MBS) are then set up to calculate the wheel unloading factor of railway vehicles. Furthermore, the characteristic wind curves (CWC) for determining the crosswind stability of vehicles are given. It is found that higher mean wind and vehicle speeds generally increase the risk of overturning. The result obtained from the static analysis can be used as an approximate overturning assessment due to the simple model and built-in margins. The dynamic effects of the track irregularity and wind turbulence make the critical wind speed in the MBS method is possible to be more precise. The calculated CWC in the study case can guide the operation and management of railway vehicles in a strong crosswind environment.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiyong Yao, Shengjie Deng, and Xiaoda Li "Assessment of overturning risk of railway vehicles in crosswinds", Proc. SPIE 12460, International Conference on Smart Transportation and City Engineering (STCE 2022), 124600J (22 December 2022); https://doi.org/10.1117/12.2658133
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KEYWORDS
Aerodynamics

Turbulence

Stochastic processes

Safety

Ranging

Standards development

Statistical analysis

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