振动与噪声

随机风环境下高速列车运行安全评估研究

  • 于梦阁 ,
  • 张骞 ,
  • 刘加利 ,
  • 张继业
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  • 1. 青岛大学机电工程学院 青岛 266071;
    2. 中车青岛四方机车车辆股份有限公司 青岛 266111;
    3. 西南交通大学牵引动力国家重点实验室 成都 610031

收稿日期: 2017-04-10

  修回日期: 2017-12-26

  网络出版日期: 2014-01-02

基金资助

国家自然科学基金(51705267,51605397)和山东省自然科学基金(ZR2014EEP002)资助项目

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

摘要

研究随机风环境下高速列车的气动特性及运行安全特性,提出一种随机风环境下高速列车运行安全的评估方法。基于Cooper理论和谐波叠加法建立任意风向角下随车移动点的脉动风速数值模拟方法,推导随机风作用下高速列车非定常气动载荷的计算公式;建立高速列车系统动力学模型,研究非定常气动载荷作用下高速列车的运行安全特性,获得随机风环境下高速列车安全运行的平均特征风速曲线及其置信区间。计算结果表明,在随机风环境下,高速列车的非定常气动载荷及轮重减载率具有随机特性,且近似服从正态分布;风向角越接近于90°,非定常气动载荷及轮重减载率的波动幅值越大;在相同的风向角下,MCWC随着列车速度的增加而减小;在相同的车速下,不同风向角下的MCWC由小到大的排序为90°、60°、120°、30°、150°。

本文引用格式

于梦阁 , 张骞 , 刘加利 , 张继业 . 随机风环境下高速列车运行安全评估研究[J]. 机械工程学报, 2018 , 54(4) : 245 -254 . DOI: 10.3901/JME.2018.04.245

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°.

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