Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33503
Title: Damage identification of a target substructure with moving load excitation
Authors: Li, J
Law, SS
Keywords: Damage identification
Moving loads
Response reconstruction
Substructure
Transmissibility
Wavelet
Issue Date: 2012
Publisher: Academic Press
Source: Mechanical systems and signal processing, 2012, v. 30, p. 78-90 How to cite?
Journal: Mechanical systems and signal processing 
Abstract: This paper presents a substructural damage identification approach under moving vehicular loads based on a dynamic response reconstruction technique. The relationship between two sets of time response vectors from the substructure subject to moving loads is formulated with the transmissibility matrix based on impulse response function in the wavelet domain. Only the finite element model of the intact target substructure and the measured dynamic acceleration responses from the target substructure in the damaged state are required. The time-histories of moving loads and interface forces on the substructure are not required in the proposed algorithm. The dynamic response sensitivity-based method is adopted for the substructural damage identification with the local damage modeled as a reduction in the elemental stiffness factor. The adaptive Tikhonov regularization technique is employed to have an improved identification result when noise effect is included in the measurements. Numerical studies on a three-dimensional box-section girder bridge deck subject to a single moving force or a two-axle three-dimensional moving vehicle are conducted to investigate the performance of the proposed substructural damage identification approach. The simulated local damage can be identified with 5% noise in the measured data.
URI: http://hdl.handle.net/10397/33503
ISSN: 0888-3270
EISSN: 1096-1216
DOI: 10.1016/j.ymssp.2012.02.002
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

32
Last Week
0
Last month
0
Citations as of Nov 15, 2017

WEB OF SCIENCETM
Citations

27
Last Week
0
Last month
1
Citations as of Nov 16, 2017

Page view(s)

36
Last Week
1
Last month
Checked on Nov 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.