结构工程
振动
磁道(磁盘驱动器)
振动疲劳
加速度
牵引(地质)
焊接
汽车工程
工程类
评价方法
牵引电动机
试验数据
随机振动
计算机科学
有限元法
试验方法
聚类分析
疲劳极限
移动荷载
实验数据
卡车
噪音(视频)
作者
Ji Fang,Zheng Shen,Min Yang,Hao Sum,Dailin Zhang
标识
DOI:10.1016/j.aej.2025.10.046
摘要
In order to predict the vibration fatigue life reliably for the traction motor in railway vehicles under complex track load conditions. Vibration acceleration test data at the motor mounting base were obtained in this study through track tests firstly. Due to the presence of characteristics like impact loads and non-stationary random loads, direct application of quasi-static method and frequency-domain random vibration method may result in substantial risks. Time-domain step-by-step integration for vibration simulation is impractical due to computational enormity. In order to obtain the effective fatigue life evaluation method of welded structure in motor under tested track loads, new track loads clustering method was proposed in this study. This method can effectively compress measured data, reduce computational complexity, and consider influence of loads and non-stationary random loads on the fatigue in the motor structure, providing theoretical support for the design and improvement of the railway structure.Ten weld lines were selected for fatigue assessment in the text, with the minimum lifespan reaching 12 million kilometers, all meeting the fatigue resistance design requirements. • A load clustering method for fatigue life prediction is proposed. • The method considers the effects of impact loads and non-stationary loads. • This method can effectively compress the measurement data. • This method can be applied to rail vehicles, aerospace, automotive, and other industries.
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