移动荷载作用下基于主成分分析的斜拉桥拉索损伤识别分析  

Damage identification of stay cables under moving loads based on principal component analysis

作　　者：徐翔宇 刘习军[1] 张素侠[1] XU Xiangyu;LIU Xijun;ZHANG Suxia(School of Mechanical Engineering,Tianjin University,300072 Tianjin,China)

机构地区：[1]天津大学机械工程学院,天津300072

出　　处：《应用力学学报》2024年第1期90-99,共10页Chinese Journal of Applied Mechanics

基　　金：天津市交通运输科技发展计划资助项目(No.2019-15)。

摘　　要：提出了一种基于主成分分析的斜拉桥拉索损伤识别方法来实现斜拉索损伤识别。该方法首先采集移动荷载激励桥面时拉索结构的加速度响应,然后采用主成分分析法对时域信号进行降维处理,提取降维后信号的统计学数据,结合D-S证据理论构造多阶统计矩融合指标进行识别。以天津永和桥为例,利用有限元进行数值模拟,分别针对斜拉索损伤程度、荷载质量、荷载移动速度对损伤识别精度的影响进行了探究。分析结果表明,所提方法具有良好的识别效果,有较好的噪声鲁棒性。This paper introduces a cable damage identification method for cable-stayed bridges based on principal component analysis(PCA)to facilitate efficient cable damage detection.The proposed approach involves collecting the acceleration response of the cable structure when subjected to a moving load.Subsequently,the PCA method is employed to reduce the dimensionality of the time-domain signal.Statistical data are then extracted from the reduced dimension signal,and a multi-order statistical moment fusion index is constructed using the Dempster-Shafer(D-S)evidence theory for identification purposes.Using the Yonghe Bridge in Tianjin as a case study,the paper explores the impact of cable damage degree,load mass,and load moving speed on damage identification accuracy through finite element numerical simulations.The analysis results demonstrate the efficacy of the proposed method,highlighting its robust recognition capabilities and resilience to noise.The developed approach proves to be a promising tool for accurate and timely identification of cable damage in cable-stayed bridges,contributing to enhanced structural safety and maintenance practices.

关 键 词：斜拉索 主成分分析 移动荷载 损伤识别 

分 类 号：U447[建筑科学—桥梁与隧道工程] TU317[交通运输工程—道路与铁道工程]