A New Damage Indicator for Drive-by Monitoring using Instantaneous Curvature

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Title: A New Damage Indicator for Drive-by Monitoring using Instantaneous Curvature
Authors: O'Brien, Eugene J.Martinez, DanielMalekjafarian, AbdollahPape, Torill
Permanent link: http://hdl.handle.net/10197/8561
Date: 6-Apr-2017
Online since: 2017-06-08T14:57:37Z
Abstract: Drive-by monitoring has enhanced the possibilities for bridge damage detection, with the potential to deliver a bridge rating in the time it takes an instrumented vehicle to pass overhead. This paper outlines the importance of Instantaneous Curvature (IC) as an indicator of local damage. For the IC calculation, bridge deflections are measured from the vehicle before and after the occurrence of damage, so that a comparison between the two situations can be made. Differences in curvature are clearly visible in numerical simulations, especially at the damage location. A Finite Element model of a simply supported bridge subject to a crossing vehicle is modelled dynamically. In this paper, the Curvature Ratio (CR) is proposed as the damage indicator, defined as the ratio of IC in the current bridge to IC in the corresponding healthy bridge. Road profile and random noise in the simulated measurements are considered to represent realistic conditions. Simulations in MATLAB demonstrate that CR is an effective indicator in most of the analysis cases.
Funding Details: European Commission Horizon 2020
Funding Details: Marie Sklodowska-Curie grant
Type of material: Conference Publication
Publisher: Austroads
Keywords: Drive-byMonitoringStructural health monitoringSHMBridgeDamage detectionInstantaneous curvatureCurvature ratio
Other versions: http://www.abc2017.com.au/
Language: en
Status of Item: Not peer reviewed
Conference Details: Austroads Bridge Conference 2017 (ABC 2017), Pullman Melbourne Albert Park, Melbourne, Australia, 3-6 April 2017
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Civil Engineering Research Collection
TRUSS-ITN Research Collection

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