Study on the operational safety of high-speed trains exposed to stochastic winds

• Published in: Acta mechanica Sinica 2014-06, Vol.30 (3), p.351-360
• Main Authors: Yu, Meng-Ge, Zhang, Ji-Ye, Zhang, Ke-Yue, Zhang, Wei-Hua
• Format: Article
• Language: English
• Subjects: Algorithms; Classical and Continuum Physics; Computational Intelligence; Engineering; Engineering Fluid Dynamics; Exposure; High speed trains; Research Paper; Safety; Spreads; Stochasticity; Theoretical and Applied Mechanics; Unsteady aerodynamics; Vehicles; 动力学模型; 化学武器公约; 安全状态; 特性曲线; 运行安全性; 随机风; 非定常空气动力学; 高速列车
• ISSN: 0567-7718; 1614-3116
• DOI: 10.1007/s10409-014-0004-2

The characteristic wind curve （CWC） was com- monly used in the previous work to evaluate the operational safety of the high-speed trains exposed to crosswinds. How- ever, the CWC only provide the dividing line between safety state and failure state of high-speed trains, which can not evaluate the risk of derailment of high-speed trains when ex- posed to natural winds. In the present paper, a more realistic approach taking into account the stochastic characteristics of natural winds is proposed, which can give a reasonable and effective assessment of the operational safety of high-speed trains under stochastic winds. In this approach, the longitudi- nal and lateral components of stochastic winds are simulated based on the Cooper theory and harmonic superposition. An algorithm is set up for calculating the unsteady aerody- namic forces （moments） of the high-speed trains exposed to stochastic winds. A multi-body dynamic model of the rail vehicle is established to compute the vehicle system dynamic response subjected to the unsteady aerodynamic forces （mo- ments） input. Then the statistical method is used to get the mean characteristic wind curve （MCWC） and spread range of the high-speed trains exposed to stochastic winds. It is found that the CWC provided by the previous analyticalmethod produces over-conservative limits. The methodol- ogy proposed in the present paper can provide more signif- icant reference for the safety operation of high-speed trains exposed to stochastic winds.