Experimental Study of Influence Line–Based Damage Localization for Long-Span Cable Suspension Bridges
Publication: Journal of Bridge Engineering
Volume 28, Issue 3
Abstract
Influence line (IL)–based damage indices for long-span bridges are investigated in this study. Their effectiveness is experimentally validated for the first time through the scaled physical model of the Tsing Ma Bridge (TMB). First, the IL mechanism for damage detection and its corresponding damage indices are briefly introduced. Subsequently, the scaled TMB model instrumented with different types of sensors, including displacement sensors, strain gauges, and accelerometers, is introduced. The IL characteristics of different bridge components are compared. Two different damage cases with single- and double-damage locations at the bottom chord were tested. In the single-damage case, different ILs extracted from the nearby components were used for damage identification. These ILs can successfully locate damage visually. The strain IL (SIL) is more sensitive to local damage than deflection IL, but its detection performance degrades rapidly with the increasing distance between sensor and force locations. In the double-damage case, the SIL extracted from a single sensor cannot identify both damage cases because of the limited detectable range of each SIL; therefore, using multiple sensor information becomes necessary. For comparison, the modal parameters were also employed for damage detection. These experimental results validated the merits of the IL–based methods proposed for long-span bridges, indicating that IL–based damage indices are good indicators of local damage detection in long-span bridges. This finding contributes to the development of real-time techniques for damage localization in long-span bridges equipped with a structural health monitoring system.
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Acknowledgments
The authors are grateful for the financial support provided by the National Key R&D Program of China (2019YFB1600700), the National Natural Science Foundation of China (NSFC-52278319), the GDSTC Key Technologies R&D Program (2019B111106001), the Research Grants Council of Hong Kong (T22-502/18-R, PolyU 15214620), and The Hong Kong Polytechnic University (BBWJ, ZE2L, ZVX6). The first author also gratefully acknowledges the support from the Postdoc Matching Fund Scheme provided by The Hong Kong Polytechnic University (W21P), and he apologized for omitting to thank his dear friends, Ms. ZHU Zimo and Dr. WANG Xiaoyou, in his thesis acknowledgment. The first author would like to take this opportunity to thank them and hope their friendship last forever. All authors thank Professor You-Lin Xu for providing the opportunity to conduct the experiments on the TMB testbed. The findings and opinions expressed in this paper are from the authors alone and do not necessarily represent the views of the sponsors.
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Journal of Bridge Engineering
Volume 28 • Issue 3 • March 2023
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jun 6, 2022
Accepted: Oct 3, 2022
Published online: Dec 19, 2022
Published in print: Mar 1, 2023
Discussion open until: May 19, 2023
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