Laboratory investigation of a bridge scour monitoring method using decentralized modal analysis

Khan, Muhammad Arslan; McCrum, Daniel P; Prendergast, Luke J; OBrien, Eugene J; Fitzgerald, Paul C; Kim, Chul-Woo

Abstract

Scour is a significant issue for bridges worldwide that influences the global stiffness of bridge structures and hence alters the dynamic behaviour of these systems. For the first time, this article presents a new approach to detect bridge scour at shallow pad foundations, using a decentralized modal analysis approach through re-deployable accelerometers to extract modal information. A numerical model of a bridge with four simply supported spans on piers is created to test the approach. Scour is modelled as a reduction in foundation stiffness under a given pier. A passing half-car vehicle model is simulated to excite the bridge in phases of measurement to obtain segments of the mode shape using output-only modal analysis. Two points of the bridge are used to obtain modal amplitudes in each phase, which are combined to estimate the global mode shape. A damage indicator is postulated based on fitting curves to the mode shapes, using maximum likelihood, which can locate scour damage. The root mean square difference between the healthy and scoured mode shape curves exhibits an almost linear increase with increasing foundation stiffness loss under scour. Experimental tests have been carried out on a scaled model bridge to validate the approach presented in this article.

Citation

Khan, M. A., McCrum, D. P., Prendergast, L. J., OBrien, E. J., Fitzgerald, P. C., & Kim, C. (2021). Laboratory investigation of a bridge scour monitoring method using decentralized modal analysis. Structural Health Monitoring, 20(6), 3327-3341. https://doi.org/10.1177/1475921720985122

• Journal Article Type: Article
• Acceptance Date: Dec 11, 2020
• Online Publication Date: Jan 14, 2021
• Publication Date: Nov 1, 2021
• Deposit Date: Jan 15, 2021
• Publicly Available Date: Jan 15, 2021
• Journal: Structural Health Monitoring
• Print ISSN: 1475-9217
• Electronic ISSN: 1741-3168
• Publisher: SAGE Publications
• Peer Reviewed: Peer Reviewed
• Volume: 20
• Issue: 6
• Pages: 3327-3341
• DOI: https://doi.org/10.1177/1475921720985122
• Keywords: Mechanical Engineering; Biophysics
• Public URL: https://nottingham-repository.worktribe.com/output/5227749
• Publisher URL: https://journals.sagepub.com/doi/10.1177/1475921720985122