• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报

• 运载工程 • 上一篇    下一篇

考虑随机参数的高速列车动力学分析

罗仁,  李然,  胡俊波,  彭祎恺   

  1. 西南交通大学牵引动力国家重点实验室  成都  610031
  • 收稿日期:2014-12-05 修回日期:2015-08-27 出版日期:2015-12-15 发布日期:2015-12-15
  • 作者简介:罗仁,男,1979年出生,博士,副研究员。主要研究方向为车辆系统动力学。 E-mail:luoren@swjtu.cn
  • 基金资助:
    国家自然科学基金资助项目(51475388,U1334206)

Dynamic Analysis of High-speed Train with Stochastic Parameters

LUO Ren,  LI Ran,  HU Junbo,  PENG Yikai   

  1. Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu 610031
  • Received:2014-12-05 Revised:2015-08-27 Online:2015-12-15 Published:2015-12-15

摘要: 建立高速列车车辆系统非线性动力学仿真模型,考虑悬挂刚度和阻尼、轮轨匹配参数、轮轨界面参数、轨道不平顺和载重的随机性,应用数值仿真研究高速列车动力学性能的随机统计特征。分析随机参数确定方法、动力学仿真工况数量和计算结果后处理方法,并与试验结果进行对比验证。计算结果表明,与常规动力学分析相比,考虑随机因素的动力学方法可以得到动力学指标的分布特性,能够考虑到多种参数随机变化对动力学性能的综合影响。常规动力学计算结果是考虑随机因素的特例,能代表车辆动力学性能的普遍规律,但不能掌握动力学指标的变化域和分布规律。考虑随机因素的动力学方法可用于高速列车动力学性能预测、动力学参数优化和异常振动分析等领域,能更加真实、全面反映车辆动力学性能,优化出的悬挂参数具有更广泛的线路运行适应性。

关键词: 参数随机分布, 动力学仿真, 动力学性能, 高速列车

Abstract: The nonlinear dynamic simulation model of vehicle is set up for high speed train. The random distribution of suspension stiffness and damping, wheel-rail matching parameters, wheel-rail interface parameters, track irregularity and load are taken into consider. The stochastic statistical properties of the dynamic performance of high-speed train are studied by applying numerical simulation. The selection of random parameters, the quantity of calculations conditions and the processing of calculation results are analyzed. The simulation results are verified by experiment data. The results show that compared with conventional dynamic analysis, the distribution of dynamic indicators can be obtained by stochastic dynamic analysis. And the combined effects of changes of various parameters on the dynamic performance can be taked into account. General dynamics calculation is a special case of stochastic dynamics, and can represent the universal law of the vehicle dynamics performance. But it is difficult to find out the range and distribution of dynamic indices. Stochastic dynamics method can be used to predict dynamic performance of high-speed train, optimize suspension parameters, analyze abnormal vibration and other fields. Stochastic dynamics is more authentic and comprehensive in reflection the dynamics performance of vehicles. Using the stochastic dynamics method, the optimized suspension parameters have a wider range of line operation adaptability.

Key words: dynamic performance, dynamic simulation, high-speed train, parameter random distribution