Application of empirical mode decomposition to drive-by bridge damage detection

Files in This Item:
Access to this item has been restricted by the copyright holder until:2019-01-01
File Description SizeFormat 
Manuscript_EMD_.pdf2.1 MBAdobe PDFDownload    Request a copy
Title: Application of empirical mode decomposition to drive-by bridge damage detection
Authors: O'Brien, Eugene J.
Malekjafarian, Abdollah
González, Arturo
Permanent link:
Date: Jan-2017
Abstract: A new method is proposed in this paper for bridge damage detection using the response measured in a passing vehicle. It is shown theoretically that such a response includes three main components; vehicle frequency, bridge natural frequency and a vehicle speed pseudo-frequency component. The Empirical Mode Decomposition (EMD) method is used to decompose the signal into its main components. A damage detection method is proposed using the Intrinsic Mode Functions (IMFs) corresponding to the vehicle speed component of the response measured on the passing vehicle. Numerical case studies using Finite Element modelling of Vehicle Bridge Interaction are used to show the performance of the proposed method. It is demonstrated that it can successfully localise the damage location in the absence of road profile. A difference in the acceleration signals of healthy and corresponding damaged structures is used to identify the damage location in the presence of a road profile. The performance of the method for changes in the transverse position of the vehicle on the bridge is also studied.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Elsevier
Copyright (published version): 2017 Elsevier
Keywords: BridgeDamage detectionIndirect method
DOI: 10.1016/j.euromechsol.2016.09.009
Language: en
Status of Item: Peer reviewed
Appears in Collections:Civil Engineering Research Collection

Show full item record

Citations 50

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.