基于随机振动环境归纳的车辆设备疲劳寿命估计
作者:
作者单位:

同济大学 铁道与城市轨道交通研究院,上海 201804

作者简介:

厉鑫波(1995—),男,博士生,主要研究方向为车辆振动与噪声控制、车辆结构强度.E-mail: xinboli_tj@163.com

通讯作者:

周劲松(1969—),男,教授,博士生导师,工学博士,主要研究方向为车辆系统动力学、车辆振动与噪声控制、车辆结构强度. E-mail: jinsong.zhou@tongji.edu.cn

中图分类号:

U270

基金项目:

国家自然科学基金(51805373);“十二五”国家科技支撑计划(2015BAG19B02)


Fatigue Lifetime Estimation of Rail Vehicle Equipment Based on Inductive Method of Random Vibration Environment
Author:
Affiliation:

Institute of Rail Transit, Tongji University, Shanghai 201804, China

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    摘要:

    针对车辆设备疲劳寿命估计时的复杂振动环境特点,提出一种适用于车辆设备的随机振动环境归纳方法,并基于此归纳方法给出了一种车辆设备疲劳寿命估计流程。通过参数假设检验合并振动环境数据,估计样本的容差上限,得到实测谱和规范谱。以某型地铁车辆轴箱吊耳疲劳断裂为例,对实测应力进行统计分析,并将实测谱和规范谱作为激励,仿真计算吊耳的疲劳寿命。结果表明,相比于实测应力下的疲劳结果,实测谱和规范谱的仿真结果的相对误差分别为1.8%和4.1%,证明提出的振动环境归纳方法及疲劳寿命估计方法可靠性高,可为实际工程应用提供参考。

    Abstract:

    Aimed at the characteristics of complex vibration environment when estimating the fatigue life of rail vehicle equipment, an inductive method of random vibration environment suitable for rail vehicle equipment is proposed, and a fatigue life estimation process of rail vehicle equipment is solved based on the inductive method. Combining the vibration environment data in the parameter hypothesis test, the upper tolerance limit of the sample is estimated, and the measured spectrum and the normalized spectrum are obtained. Taking the fatigue fracture of the axle box lug of a certain type of subway vehicle as an example, the measured stress is statistically analyzed, and the measured spectrum and the normalized spectrum are used as excitation to simulate the fatigue life of the lug. The results show that compared with the fatigue result at the measured stress, the relative errors of the simulation results of the measured spectrum and the normalized spectrum are 1.8% and 4.1%, respectively, which proves that the proposed vibration environment inductive method and the fatigue life estimation method are highly reliable and can provide references for practical engineering applications.

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厉鑫波,周劲松,宫岛,尤泰文,邓辰鑫.基于随机振动环境归纳的车辆设备疲劳寿命估计[J].同济大学学报(自然科学版),2020,48(8):1208~1215

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  • 收稿日期:2019-12-04
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  • 在线发布日期: 2020-09-09
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