Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8720
Title: Substructural damage detection with incomplete information of the structure
Authors: Li, J
Law, SS
Keywords: damage identification
response reconstruction
substructure
unit impulse response function
wavelet
Issue Date: 2012
Publisher: American Society of Mechanical Engineers
Source: Journal of applied mechanics, 2012, v. 79, no. 4, 41003 How to cite?
Journal: Journal of applied mechanics 
Abstract: This paper proposes a substructural damage identification approach without the information of responses and forces at the interface degrees-of-freedom. It is based on the response reconstruction technique using the unit impulse response function in the wavelet domain. The finite element model of the target substructure and acceleration measurement data from the damaged substructure are required in the identification. A dynamic response sensitivity-based method is used for the substructural finite element model updating, and local damage is identified as a change in the elemental stiffness factors. The adaptive Tikhonov regularization technique is adopted to improve the identification results with the measurement noise effect. Numerical studies on a three-dimensional box-section girder are conducted to validate the proposed method of substructural damage identification. The simulated damage can be identified effectively even with 10 noise in the measurements and a 5 coefficient of variation in the elastic modulus of material of the structure.
URI: http://hdl.handle.net/10397/8720
ISSN: 0021-8936
EISSN: 1528-9036
DOI: 10.1115/1.4005552
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

20
Last Week
0
Last month
0
Citations as of Jul 9, 2018

WEB OF SCIENCETM
Citations

15
Last Week
0
Last month
2
Citations as of Jul 9, 2018

Page view(s)

43
Last Week
0
Last month
Citations as of Jul 8, 2018

Google ScholarTM

Check

Altmetric


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