Bridge condition monitoring under moving loads using two sensor measurements

被引:38
作者
Nie, Zhenhua [1 ,2 ]
Lin, Jun [1 ]
Li, Jun [3 ]
Hao, Hong [3 ]
Ma, Hongwei [2 ,4 ]
机构
[1] Jinan Univ, Sch Mech & Construct Engn, Guangzhou, Peoples R China
[2] Minist Educ China, Key Lab Disaster Forecast & Control Engn, Guangzhou, Peoples R China
[3] Curtin Univ, Ctr Infrastruct Monitoring & Protect, Sch Civil & Mech Engn, Bentley, WA, Australia
[4] Dongguan Univ Technol, Dongguan 523808, Guangdong, Peoples R China
来源
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL | 2020年 / 19卷 / 03期
基金
中国国家自然科学基金;
关键词
Structural damage detection; bridge; moving loads; limited sensors; cross-correlation; DAMAGE DETECTION; SHEAR CONNECTORS; IDENTIFICATION; BEAM; EXCITATION; MASS;
D O I
10.1177/1475921719868930
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A novel damage detection approach using only two sensors to detect the damage in beam bridges subjected to a moving vehicle is proposed in this article. In this approach, a moving mass is considered representing a vehicle moving across the bridge, and structural vibration responses at two locations are measured from a pair of sensors. A moving window is defined with a certain length determined by the sampling frequency and the fundamental frequency of the measured responses. The windowed pair time series extracted from these two measured responses are used to calculate the cross-correlation, which is used to define the local damage index. A simply supported beam bridge subjected to a moving mass is simulated to demonstrate the effectiveness and accuracy of the proposed approach. Numerical results indicate that the proposed approach can accurately identify the single and multiple damages using both displacement and acceleration responses, even when the responses are smeared with a significant noise. This indicates a good robustness to the noise effect. Experimental verifications on a laboratory beam bridge model demonstrate that the proposed approach can successfully identify the damage location using different selections of sensor pairs. Both the numerical and experimental results demonstrate that the new damage index is a good candidate for structural damage detection with very limited measurement information.
引用
收藏
页码:917 / 937
页数:21
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