随机振动下受电弓疲劳寿命预测方法

By establishing a three-dimensional model of the pantograph and performing finite element analysis, combined with pantograph-catenary coupling contact force and random excitation, the fatigue life of the pantograph can be accurately predicted, solving the problem of difficulty in predicting the fatigue life of the pantograph in the existing technology and ensuring the safe operation of trains.

CN115859511BActive Publication Date: 2026-07-17HEBEI UNIV OF SCI & TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HEBEI UNIV OF SCI & TECH
Filing Date
2022-11-30
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot accurately predict the fatigue life of pantographs under random vibrations, resulting in the inability to detect damage accumulation in a timely manner and affecting the safe operation of trains.

Method used

By establishing a three-dimensional solid model of the pantograph, finite element analysis and modal vibration analysis are performed. Combined with the pantograph-catenary coupling contact force, random excitation is applied to calculate the random response and stress field of the pantograph. Fatigue life is then predicted using the SN curve.

Benefits of technology

It enables accurate prediction of pantograph fatigue life, identifies weak components, and provides precise life assessment to ensure the safe operation of trains.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种随机振动下受电弓疲劳寿命预测方法,包括建立受电弓的三维实体模型、有限元模型网格划分、受电弓静力分析、受电弓模态振动分析、受电弓随机振动分析、随机振动下受电弓疲劳寿命预测步骤。本发明在受电弓弓头上和车顶上施加随机激励,与静力分析综合考虑,更为准确地预测了受电弓在行驶中的整体疲劳寿命,并对受电弓薄弱部件进行了二次疲劳寿命预测,预测的受电弓疲劳寿命更加精准,疲劳寿命里程可以直观地为受电弓的运行检修提供依据,为保证列车弓网安全运行提供了保证。
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