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

Author(s)
O'Brien, Eugene J.  
Malekjafarian, Abdollah  
González, Arturo  
Uri
http://hdl.handle.net/10197/8780
Date Issued
2017-01
Embargo end date
2019-01-01
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.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Transport Infrastructure Ireland (TII)
Type of Material
Journal Article
Publisher
Elsevier
Journal
European Journal of Mechanics, A/Solids
Volume
61
Start Page
151
End Page
163
Copyright (Published Version)
2017 Elsevier
Subjects

Bridge

Damage detection

Indirect method

DOI
10.1016/j.euromechsol.2016.09.009
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Manuscript_EMD_.pdf

Size

2.05 MB

Format

Adobe PDF

Checksum (MD5)

77aa9e82ca379d6d749af8d38138e053

Owning collection
Civil Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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