Study on the Operational Safety Evaluation of the High-speed Train Exposed to Stochastic Winds

  • YU Mengge ,
  • ZHANG Qian ,
  • LIU Jiali ,
  • ZHANG Jiye
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  • 1. College of Mechanical and Electronic Engineering, Qingdao University, Qingdao 266071;
    2. CRRC Qingdao Sifang Co. Ltd., Qingdao 266111;
    3. State Key Laboratory of Traction Power, Southwest Jiao Tong University, Chengdu 610031

Received date: 2017-04-10

  Revised date: 2017-12-26

  Online published: 2014-01-02

Abstract

The aerodynamic characteristics and operational safety are studied, and a methodology for evaluating the operational safety of the high-speed train exposed to stochastic winds is proposed. The numerical simulation method of the fluctuating winds at a moving point shifting with the train for any wind angle is established based on the Cooper theory and harmonic superposition method, the formula for computing the unsteady aerodynamic loads of the high-speed train exposed to stochastic winds is derived. The train system dynamic model is established to study the operational safety characteristics of the high-speed train exposed to unsteady aerodynamic loads. The mean characteristic wind curve (MCWC) and its spread range of the high-speed train exposed to stochastic winds are obtained. The results show that, in the stochastic winds environment, both the unsteady aerodynamic loads and the load reduction factor of the high-speed train have stochastic characteristics and approximately obey normal distribution. The nearer the wind angle approximates to 90°, the larger the fluctuation amplitude of the unsteady aerodynamic loads and load reduction factor are. For a constant wind angle, the MCWC decreases with the increasing of the train speed. For a constant train speed, the sorting of MCWC in ascending order for different wind angles is 90°, 60°, 120°, 30°, 150°.

Cite this article

YU Mengge , ZHANG Qian , LIU Jiali , ZHANG Jiye . Study on the Operational Safety Evaluation of the High-speed Train Exposed to Stochastic Winds[J]. Journal of Mechanical Engineering, 2018 , 54(4) : 245 -254 . DOI: 10.3901/JME.2018.04.245

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