Multi-Cross-Reference Method for Highway-Bridge Damage Identification Based on Long-Gauge Fiber Bragg-Grating Sensors
Publication: Journal of Bridge Engineering
Volume 25, Issue 6
Abstract
Highway bridges are vital infrastructure engineering whose safety severely influences the safety and stability of society. Damage identification, as the core part of structural health monitoring, plays an essential role in highway-bridge maintenance to help detect potential damage. There have been many studies conducted, with various damage identification methods proposed. However, there are still several problems with the durability of sensors and the reliability of methods, such as the issue of false alarm. Under this background, this paper proposed a multi-cross-reference method for highway-bridge damage identification method utilizing long-gauge fiber Bragg-grating (FBG) sensors. Through several numerical simulations and on-site testing, its feasibility under various conditions was verified. The results demonstrated that through this method the location of damage can be accurately identified with error of less than 5% in identified damage extent.
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Acknowledgments
The authors would like to acknowledge financial support from the National Natural Science Foundation of China (Nos. 51525801, 51708106) and the Fundamental Research Funds for the Central Universities (No. 2242017k30002).
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Published In
Journal of Bridge Engineering
Volume 25 • Issue 6 • June 2020
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Feb 1, 2019
Accepted: Oct 29, 2019
Published online: Mar 20, 2020
Published in print: Jun 1, 2020
Discussion open until: Aug 20, 2020
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