Quasi-Static Influence Line Identification and Damage Identification of Equal-Span Bridges Based on Measured Vehicle-Induced Deflection

Kang Yang; Youliang Ding; Hanwei Zhao; Fangfang Geng; Zhen Sun

doi:10.7250/bjrbe.2022-17.560

Quasi-Static Influence Line Identification and Damage Identification of Equal-Span Bridges Based on Measured Vehicle-Induced Deflection

Authors

Kang Yang School of Civil Engineering, Key Laboratory of C&PC Structures of the Ministry of Education, Southeast Univ., Nanjing 210096, China https://orcid.org/0000-0002-4208-2580
Youliang Ding School of Civil Engineering, Key Laboratory of C&PC Structures of the Ministry of Education, Southeast Univ., Nanjing 210096, China https://orcid.org/0000-0002-0774-426X
Hanwei Zhao School of Civil Engineering, Key Laboratory of C&PC Structures of the Ministry of Education, Southeast Univ., Nanjing 210096, China https://orcid.org/0000-0002-7622-7784
Fangfang Geng School of Architecture Engineering, Nanjing Institute of Technology, Nanjing 211167, China https://orcid.org/0000-0003-3118-3789
Zhen Sun Faculty of Engineering (FEUP), University of Porto, R. Dr. Roberto Frias, 4200-465 Porto, Portugal https://orcid.org/0000-0002-2053-4902

DOI:

https://doi.org/10.7250/bjrbe.2022-17.560

Keywords:

damage identification, deflection, dynamic displacement IL, equal-span bridges, influence line, vehicle loads

Abstract

The bridge influence line (IL) reflects the response of a certain section due to varying load positions. As a result, IL has a wide application prospect in damage identification and condition assessment. Up to date, studies regarding IL have been focused on the structure condition evaluation. A feasible and practical method for damage identification is still not yet available. The present paper proposes a comprehensive damage identification methodology based on IL under a moving vehicle is composed of data pre-processing, IL extraction, and damage detection. Firstly, a thorough review of existing IL identification methods based on signal processing is provided. Then three quasi-static IL identification methods based on measured data are discussed. Consequently, the study proposes a two-stage damage identification approach for simply supported bridges with equal span length. Also, the effectiveness of this approach is verified through field tests on a real girder bridge. At last, conclusions are drawn, and potential issues for the application of the proposed method in practice are discussed.

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