高速磁悬浮列车摆杆结构强度及振动疲劳寿命评估中的系统动力学

IF 3.4 Q1 ENGINEERING, MECHANICAL
Feng Guo, Feifei Hu, Shengchuan Wu, Feng He, Jianxin Liu, Xingwen Wu
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引用次数: 1

摘要

高速磁悬浮列车承受着剧烈的动载荷,存在着故障隐患。为了改进恶劣路线和超高速等级下的结构强度和疲劳寿命评估方法,有必要考虑车辆动力学因素。摆杆作为车身与悬浮架之间最关键的承载部件,以摆杆为例,说明了车辆动力学将经典结构强度、疲劳寿命与使用条件相结合的意义。建立了600 km/h电磁悬浮磁悬浮列车alpha改进方案的多物理场耦合动力学模型,研究了列车的复杂动载荷和疲劳谱。利用该模型对变形摆杆的结构强度和疲劳寿命进行了研究。结果表明,超高速等级对摆杆的结构强度和疲劳寿命影响不大。确定了车体与支撑体之间未补偿的相对位移引起的非轴向弯矩是决定因素。变形摆杆结构强度的最小安全系数为1.33,最小疲劳寿命为34年。两者都符合设计要求,但都不够保守。因此,建议进一步验证和优化,以改进摆杆的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

System dynamics in structural strength and vibration fatigue life assessment of the swing bar for high-speed maglev train

System dynamics in structural strength and vibration fatigue life assessment of the swing bar for high-speed maglev train

High-speed maglev trains are subjected to severe dynamic loads, thus posing a failure hazard. It is necessary to account for the vehicle dynamics to improve the structural strength and fatigue life assessment approach under harsh routes and super high-speed grades. As the most critical load-carrying part between the vehicle body and levitation frames, the swing bar was taken as an example to demonstrate the significance of vehicle dynamics to integrate classical structural strength and fatigue life with the service conditions. A multiphysics-coupled dynamic model of an alpha improvement scheme for an electromagnetic suspension maglev train capable of 600 km/h was established to investigate the complex dynamic loads and fatigue spectra. Using this model, the structural strength and fatigue life of the wrought swing bars were investigated. Results show only a slight effect on the structural strength and fatigue life of swing bars by the super high-speed grades. The nonaxial bending moments caused by the uncompensated relative displacement between the vehicle body and bolsters are identified as the decisive factors. The minimum safety factor of the structural strength for wrought swing bars is 1.33, while the minimum fatigue life is 34 years. Both match the design requirements but are not conservative enough. Therefore, further verification and optimization are recommended to improve the design of swing bars.

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