Bridge damage detection using ambient traffic and moving force identification

Files in This Item:
File Description SizeFormat 
J87_OBrien,_Carey,_Keenahan_D3_(rep_version).pdf1.03 MBAdobe PDFDownload
Title: Bridge damage detection using ambient traffic and moving force identification
Authors: O'Brien, Eugene J.
Carey, Ciaran
Keenahan, Jennifer
Permanent link:
Date: Dec-2015
Abstract: This paper investigates a novel method for damage detection using a moving force identification algorithm. The method aims to detect the changes in the predicted forces applied by vehicles crossing a bridge, which are shown to be sensitive to damage. A two-dimensional vehicle–bridge interaction model is used in theoretical simulations to assess the effectiveness of the method in detecting changes in stiffness. Fleets of similar vehicles are simulated, and the force pattern of greatest frequency is used as the damage indicator. Results indicate that the method is more sensitive to damage than direct measurements of displacement and can detect a loss in stiffness due to a crack with a depth of as little as 6% of the beam depth.
Funding Details: Irish Research Council
Science Foundation Ireland
Type of material: Journal Article
Publisher: Wiley
Copyright (published version): 2015 John Wiley & Sons, Ltd.
Keywords: Moving force identificationVehicle bridge interactionBridge damageBridge dynamicsBridge displacementStructural health monitoring
DOI: 10.1002/stc.1749
Language: en
Status of Item: Peer reviewed
Appears in Collections:Civil Engineering Research Collection

Show full item record

Citations 20

Last Week
Last month
checked on Aug 9, 2018

Google ScholarTM



This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.