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Open AccessArticle

A Kalman Filter-Based Method for Diagnosing the Structural Condition of Medium- and Small-Span Beam Bridges during Brief Traffic Interruptions

by Qingfei Gao 1, Xiang Wang 2,3 and Yang Liu 1,*
1
School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
2
China Railway Bridge Science Research Institute, Ltd., Wuhan 430034, China
3
State Key Laboratory for Health and Safety of Bridge Structures, Wuhan 430034, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(15), 4130; https://doi.org/10.3390/s20154130
Received: 9 June 2020 / Revised: 17 July 2020 / Accepted: 21 July 2020 / Published: 24 July 2020
Load tests are a popular way to diagnose the structural condition of bridges, however, such tests usually interrupt traffic for many hours. To address this issue, a Kalman filter-based method is proposed to diagnose the structural condition of medium- and small-span beam bridges by using the acceleration responses obtained from the bridge during a brief traffic interruption. First, a condition diagnosis feature based on the Kalman filter innovation (i.e., the optimal difference between the filter predictions and measured responses) is presented. Second, a condition diagnosis index, which is the energy ratio between the innovation and the measured acceleration, is generated by calculating the null space of the Hankel matrix consisting of condition diagnosis features. Then, on the basis of the novel detection, a method is used to diagnose the structural condition of a bridge during a brief traffic interruption. Finally, the validity and dependability of the proposed method is demonstrated through experimental tests with a model bridge and field tests on an actual bridge. Using the proposed method, the long-time interruption of traffic flow and the reliance on finite element model are effective avoided during the process of condition diagnosis of bridges. View Full-Text
Keywords: condition diagnosis; beam bridges; Kalman filter; novelty detection condition diagnosis; beam bridges; Kalman filter; novelty detection
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MDPI and ACS Style

Gao, Q.; Wang, X.; Liu, Y. A Kalman Filter-Based Method for Diagnosing the Structural Condition of Medium- and Small-Span Beam Bridges during Brief Traffic Interruptions. Sensors 2020, 20, 4130.

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