Damage detection using curvatures obtained from vehicle measurements

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Title: Damage detection using curvatures obtained from vehicle measurements
Authors: O'Brien, Eugene J.
Martinez, Daniel
Malekjafarian, Abdollah
Sevillano, Enrique
Permanent link: http://hdl.handle.net/10197/8754
Date: Jul-2017
Abstract: This paper describes a new procedure for bridge damage identification through drive-by monitoring. Instantaneous curvature (IC) is presented as a means to determine a local loss of stiffness in a bridge through measurements collected from a passing instrumented vehicle. Moving reference curvature (MRC) is compared with IC as a damage detection tool. It is assumed that absolute displacements on the bridge can be measured by the vehicle. The bridge is represented by a finite element (FE) model. A Half-car model is used to represent the passing vehicle. Damage is represented as a local loss of stiffness in different parts of the bridge. 1% random noise and no noise environments are considered to evaluate the effectiveness of the method. A generic road surface profile is also assumed. Numerical simulations show that the local damage can be detected using IC if the deflection responses can be measured with sufficient accuracy. Damage quantification can be obtained from MRC.
Funding Details: European Commission Horizon 2020
Type of material: Journal Article
Publisher: Springer
Copyright (published version): 2017 Springer
Keywords: Bridge;Drive-by;Damage detection;Structural health monitoring;SHM;Instantaneous curvature;Moving reference curvature
DOI: 10.1007/s13349-017-0233-8
Language: en
Status of Item: Peer reviewed
Appears in Collections:Civil Engineering Research Collection
TRUSS-ITN Research Collection

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