Volume 25, Issue 1 e2044
RESEARCH ARTICLE

Investigation on a curvature‐based damage detection method using displacement under moving vehicle

Zhen Sun

Corresponding Author

State Key Laboratory of Safety and Health for In‐service Long Span Bridges, Jiangsu Transportation Institute, Nanjing, 211112 China

Correspondence

Zhen Sun, Jiangsu Transportation Institute, Nanjing 211112, China.

Email: sunzhen08@gmail.com

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Tomonori Nagayama

Department of Civil Engineering, The University of Tokyo, Tokyo, 113‐8656 Japan

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Mayuko Nishio

Department of Civil Engineering, Yokohama National University, Yokohama, 240‐8501 Japan

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Yozo Fujino

Institute of Advanced Sciences, Yokohama National University, Yokohama, 240‐8501 Japan

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First published: 24 May 2017
Citations: 11

Summary

Detection of potential damages is of much significance for aging bridges, which has attracted extensive attention in recent years. In this paper, a damage detection method is proposed utilizing dynamic displacement of a bridge under a moving vehicle. First, the theoretical basis of this method is elaborated. The idea is to use the static component of displacement measurements under a moving vehicle, and to use the calculated curvature change to identify damage in bridges. In order to obtain the static component, a technique is proposed for curvature calculation. Second, the proposed method is verified with two examples. In the first example, a finite element model of a single span bridge under a moving vehicle is used to show reliability of the method. Both vehicle–bridge interaction and road surface roughness are considered in the analysis. Parametric study on damage intensity, data acquisition location, vehicle passing path, and damping ratio provides guidance for application in real bridges. In the second example, a field test on a prestressed concrete viaduct is conducted to calibrate its finite element model. Artificial damage, that is, concrete crack and tendon rupture, was created, and the proposed method is used to identify the damage. Analysis results show capability of the method. Finally, conclusions are drawn, and suggestions are given for application of the proposed method on damage detection of real bridges.

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