Damage Detection of Spatial Track-Bridge System with Interlayer Connection Using High-Speed Train Response and Sensitivity Analysis

被引:0
|
作者
Wang, Yujie [1 ]
Zhan, Jiawang [1 ]
Li, Jiantao [2 ]
Xia, He [1 ]
Zhang, Fei [1 ]
Wang, Chuang [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Civil Engn, Beijing 100044, Peoples R China
[2] Zhejiang Univ Technol, Coll Civil Engn, Hangzhou 310023, Peoples R China
基金
中国国家自然科学基金;
关键词
Damage detection; high-speed railway (HSR); spatial track-bridge system; train response; sensitivity analysis; vehicle-bridge interaction; DYNAMIC-RESPONSE; IDENTIFICATION; INPUT; FREQUENCIES; PARAMETERS; VEHICLE;
D O I
10.1142/S0219455424500147
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Bridge damage detection has attracted much attention recently. Most studies on damage detection of the high-speed railway (HSR) bridge neglect the effect of the interlayer connection between the railway track and bridge. This paper proposes a damage detection method for the HSR bridge using response-based sensitivity analysis of high-speed trains. The HSR bridge is modeled as a spatial track-bridge system, in which the fasteners, sleepers and track slabs are modeled as one viscoelastic layer. The responses of multiple vehicles are merged to overcome the critical issue that the length of response data recorded by a high-speed vehicle moving over the bridge is too short to perform the sensitivity analysis. Numerical studies demonstrate that the proposed method is capable to detect damages of the track-bridge system with different train speed, car-body mass, irregularity grade and the interlayer connection properties. By using the signal merging method and the averaged response from multiple train trips, the proposed method is robust to high speed and measurement noise. The damage on the bridge beam and the interlayer connection can be well-identified. It is also found that increasing the car-body mass, damping ratio of the track-bridge system, damping coefficient of interlayer connection could improve the efficiency of damage detection.
引用
收藏
页数:31
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