Bridge condition monitoring under moving loads using two sensor measurements

被引:40
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
相关论文
共 50 条
[41]   Monitoring the Condition of Narrow Bridges Using Data from Rotation-Based and Strain-Based Bridge Weigh-in-Motion Systems [J].
Huseynov, F. ;
Hester, D. ;
OBrien, E. J. ;
McGeown, C. ;
Kim, C-W ;
Chang, K. ;
Pakrashi, V .
JOURNAL OF BRIDGE ENGINEERING, 2022, 27 (07)
[42]   Dynamic response analysis of multi-span bridge-track structure system under moving loads [J].
Liu, Shaohui ;
Jiang, Lizhong ;
Zhou, Wangbao ;
Xilin, Chai ;
Zhang, Yuntai .
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES, 2023, 51 (10) :5669-5687
[43]   A statistical index based damage identification method of a bridge using dynamic displacement under moving vehicle [J].
Rana, Shohel ;
Adhikary, Shuvrodeb ;
Tasnim, Jerin .
STRUCTURES, 2022, 43 :79-92
[44]   Identification of Damage in a Truss Bridge Using a Moving Instrumented Vehicle from Limited Measurements [J].
Niu, Lin .
FRONTIERS OF GREEN BUILDING, MATERIALS AND CIVIL ENGINEERING III, PTS 1-3, 2013, 368-370 :1370-1373
[45]   Dynamic Monitoring of a Bridge from GNSS-RTK Sensor Using an Improved Hybrid Denoising Method [J].
Xiong, Chunbao ;
Shang, Zhi ;
Wang, Meng ;
Lian, Sida .
SENSORS, 2025, 25 (12)
[46]   Dynamic analysis of unsaturated porous media under moving loads by the time domain FEM using moving coordinates [J].
Pei, Yanfei ;
Su, Qian ;
Su, Rui ;
Liu, Kaiwen ;
Connolly, David P. ;
Wang, Tengfei .
COMPUTERS AND GEOTECHNICS, 2024, 171
[47]   Vibration suppression of bridges under moving loads using the structure-immittance approach [J].
Zhang, Sara Ying ;
Sheng, Xi ;
Jiang, Jason Zheng ;
Zhou, Haijun ;
Ren, Wei-Xin ;
Zhang, Zi-Hang .
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2021, 211
[48]   Development of a Cable Assessment Method Based on Phase Space Trajectory for Cable-Stayed Bridge Under Moving Loads [J].
Moghaddam, Mahtab Mohseni ;
Dehghani, Ehsan ;
Bitaraf, Maryam .
STRUCTURAL ENGINEERING INTERNATIONAL, 2024,
[49]   Railway Bridge Condition Monitoring Using Numerically Calculated Responses from Batches of Trains [J].
Ren, Yifei ;
OBrien, Eugene J. ;
Cantero, Daniel ;
Keenahan, Jennifer .
APPLIED SCIENCES-BASEL, 2022, 12 (10)
[50]   Bridge damage location and quantification under the moving vehicle loads based on deep learning multi-objective regression [J].
Ying, Liuqi ;
Zhang, Chengyang ;
Ying, Guogang .
ENGINEERING STRUCTURES, 2024, 320