Bridge Damage Identification Using Rotation Measurement
Publication: Journal of Bridge Engineering
Volume 28, Issue 5
Abstract
This paper proposes a novel bridge damage identification methodology using simulated rotation measurements. To illustrate the concept, a numerical 1D beam model subject to a one-axle moving vehicle model is presented. Different bridge segmentation strategies, damage scenarios, and measurement points are considered to demonstrate the detection, localization, and severity quantification capability of the proposed approach. To extend the application to a bridge subject to a fleet of unweighed multiaxle vehicles, the proposed method is combined with an iterative Bridge Weigh-in-Motion algorithm to obtain vehicle weights, bridge damage presence, and location. The results indicate that even if the vehicle weights and damage location are unknown, the proposed method can successfully detect and localize damage. The severity of the damage can also be predicted with reasonable accuracy. Finally, the proposed damage identification system is applied to measurements simulated with a fully calibrated (using in situ measurements) 3D finite-element model of a simply supported multi-T-girder bridge. Results confirm that the proposed system can accurately and automatically detect, localize, and quantify the severity of the defect for a range of cases.
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Acknowledgments
The author(s) disclose receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by the Scientific Research Fund of Hunan Provincial Education Department No. 19C0788 and China Scholarship Council.
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Information & Authors
Information
Published In
Journal of Bridge Engineering
Volume 28 • Issue 5 • May 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Jun 5, 2022
Accepted: Dec 23, 2022
Published online: Feb 16, 2023
Published in print: May 1, 2023
Discussion open until: Jul 16, 2023
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