Identifying damage in a bridge by analysing rotation response to a moving load

Title: Identifying damage in a bridge by analysing rotation response to a moving load
Authors: Hester, DavidBrownjohn, J. M. W.Huseynov, FarhadO'Brien, Eugene J.González, ArturoCasero, Miguel
Permanent link: http://hdl.handle.net/10197/11493
Date: 4-Nov-2019
Online since: 2020-08-25T10:35:57Z
Abstract: This article proposes a bridge damage detection method using direct rotation measurements. Initially, numerical analyses are carried out on a one-dimensional (1D) simply supported beam model loaded with a single moving point load to investigate the sensitivity of rotation as a main parameter for damage identification. As a result of this study, the difference in rotation measurements due to a single moving point load obtained for healthy and damaged states is proposed as a damage indicator. A relatively simple laboratory experiment is conducted on a 3-m long simply supported beam structure to validate the results obtained from the numerical analysis. The case of multi-axle vehicles is investigated through numerical analyses of a 1D bridge model and a theoretical basis for damage detection is presented. Finally, a sophisticated 3D dynamic finite element model of a 20-m long simply supported bridge structure is developed by an independent team of researchers and used to test the robustness of the proposed damage detection methodology in a series of blind tests. Rotations from an extensive range of damage scenarios were provided to the main team who applied their methods without prior knowledge of the extent or location of the damage. Results from the blind test simulations demonstrate that the proposed methodology provides a reasonable indication of the bridge condition for all test scenarios.
Funding Details: European Commission Horizon 2020
Type of material: Journal Article
Publisher: Taylor & Francis
Journal: Structure and Infrastructure Engineering
Volume: 16
Issue: 7
Start page: 1050
End page: 1065
Keywords: BridgesDamage detectionRotationInclinometersInfluence lineStructural health monitoringBHM
DOI: 10.1080/15732479.2019.1680710
Language: en
Status of Item: Peer reviewed
Appears in Collections:Critical Infrastructure Group Research Collection
Earth Institute Research Collection
Civil Engineering Research Collection
TRUSS-ITN Research Collection

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