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刚性接触网悬挂结构刚度识别方法 被引量:2

Stiffness identification method of overhead conductor rail suspension structures
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摘要 接触网-受电弓系统是列车运行驱动力的来源。相比于柔性接触网,刚性接触网因其净空低、坚固耐用、抗风性好等优点一直是当前研究的热点。针对刚性接触网悬挂结构的传统建模方法是将其等效成弹簧结构,并根据能量守恒对其刚度进行等效。基于此,提出一种基于遗传算法的利用刚性接触网的实验模态信息识别建模参数的新方法,建立刚性接触网仿真模型新的验证和修改方法,设计若干常见工况对本方法的可行性进行验证。研究结果表明:本方法因其对结构刚度的敏感性,不仅可识别刚性接触网悬挂结构刚度,而且当悬挂结构损伤时,能够识别到悬挂结构弹簧的损伤位置和实际有效刚度值。经验证在常见工况下,该方法识别到刚度值的平均相对误差低于5%。 The pantograph-catenary system is the source of driving force for trains.Compared with flexible catenary systems,overhead conductor rail systems have been the focus of current research because of its low clearance,durability and good wind resistance.The traditional modeling method of OCR suspension structures is to assimilate them to spring structures.Their effective stiffness is obtained according to the energy conservation principle.This paper presented a new method based on genetic algorithm to identify the modeling parameters by using the experimental modal information of OCRs.This method could not only identify the stiffness of OCR suspension structures,but also set up a new validation and modification method of OCR models.In addition,when the suspension structure damaged,the present method,due to its sensitivity to the structural stiffness,was able to identify the damage position of the support spring and the actual effective stiffness value.This paper designed some conventional structural cases to study the feasibility of this method.It has been verified that the average relative error of the stiffness value identified by this method is less than 5%under conventional working conditions.
作者 张玲芳 黄国君 杨国伟 程桂军 纪占玲 ZHANG Lingfang;HUANG Guojun;YANG Guowei;CHENG Guijun;JI Zhanling(Institute of Mechanics,Chinese Academy of Sciences,Beijing 100190,China;School of Engineering Science,Chinese Academy of Sciences University,Beijing 100190,China)
出处 《铁道科学与工程学报》 CAS CSCD 北大核心 2021年第11期3032-3039,共8页 Journal of Railway Science and Engineering
基金 中科院先导专项项目(XDB22020100)。
关键词 刚性接触网 刚度识别 模型验证 模型修正 损伤诊断 overhead conductor rail stiffness identification model validation model modification damage diagnosis
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