Drive-by Bridge Damage Detection Using Curvatures in Uncertain Environments

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Title: Drive-by Bridge Damage Detection Using Curvatures in Uncertain Environments
Authors: Martinez, Daniel
O'Brien, Eugene J.
Sevillano, Enrique
Permanent link: http://hdl.handle.net/10197/7968
Date: 30-Aug-2016
Abstract: Considerable effort has been dedicated in recent years to the development of bridge damage detection techniques. Recently, drive-by monitoring has become popular as it allows the bridge to be monitored without installing sensors on it. In this work, the Traffic Speed Deflectometer (TSD), which incorporates a set of laser Doppler sensors on a straight beam to obtain the relative velocity between the vehicle and the pavement surface, is modelled to obtain deflections on the bridge as the vehicle drives. From these deflections it is possible to obtain the curvature of the bridge, from which inferences on damage can be made. However, most of the time, the measurements taken by drive-by sensors are subject to a set of uncertainties or noise that can lead the damage detection procedure to either give false positives or to miss damage. For that reason, an analysis is needed in order to determine if these methods can work properly in uncertain or noisy environments. Moreover, as the road surface roughness affects the dynamic interaction between the vehicle and the bridge, this may also have an effect on the damage predictions. Hence, the goal of this paper is to study the sensitivity of curvature measurements to both the presence of environmental noise and the effect of the road surface roughness.
Funding Details: European Commission Horizon 2020
Type of material: Conference Publication
Publisher: Civil Engineering Research Association of Ireland
Keywords: Noise;Profile;Half-car model;Drive-by monitoring;Curvature;Structural health monitoring;SHM;Traffic speed deflectometer;TSD
Language: en
Status of Item: Not peer reviewed
Conference Details: Civil Engineering Research in Ireland Conference (CERI2016), Galway, Ireland, 29-30 August 2016
Appears in Collections:Civil Engineering Research Collection
TRUSS-ITN Research Collection

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