Please use this identifier to cite or link to this item: https://doi.org/10.1061/(ASCE)0733-9445(1995)121:8(1155)
Title: Damage detection of buildings: numerical and experimental studies
Authors: Koh, Chan Ghee 
See, Lin Ming 
Balendra, Thambirajah 
Issue Date: Aug-1995
Source: Koh, Chan Ghee,See, Lin Ming,Balendra, Thambirajah (1995-08). Damage detection of buildings: numerical and experimental studies. Journal of structural engineering New York, N.Y. 121 (8) : 1155-1160. ScholarBank@NUS Repository. https://doi.org/10.1061/(ASCE)0733-9445(1995)121:8(1155)
Abstract: Identification of damage of structures has recently received considerable attention in the light of maintenance and retrofitting of existing structures under service loads and after natural disasters. In this respect, most of the previous system-identification studies considered structural models typically with not more than three degrees of freedom. Although many of these identification methods should work in principle, local damage detection of real structures remains an arduous task for reasons such as insensitivity of modal frequencies to local structural changes, oversimplification of the model, numerical difficulty in convergence, and inherent measurement noise. This paper presents an 'improved condensation' method for identification of local damage of multistory frame buildings in terms of change in story stiffness. Static condensation is employed to reduce the system size. Identification is executed recursively on a remedial model, finally yielding integrity indices for all storys. By numerical simulation studies of a 12-story building with various noise levels, this method is shown to be feasible and computationally efficient. The efficacy of the method is further substantiated experimentally by damage detection of a 6-story laboratory model subjected to hammer tests.
Source Title: Journal of structural engineering New York, N.Y.
URI: http://scholarbank.nus.edu.sg/handle/10635/65375
ISSN: 07339445
DOI: 10.1061/(ASCE)0733-9445(1995)121:8(1155)
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

52
checked on Dec 12, 2017

Page view(s)

52
checked on Dec 8, 2017

Google ScholarTM

Check

Altmetric


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