Please use this identifier to cite or link to this item:
Title: Damage detection of mono-coupled multistory buildings : numerical and experimental investigations
Authors: Xu, YL 
Zhu, H
Chen, J
Keywords: Damage detection
Mono-coupled multistory building
Natural frequency
Issue Date: 2004
Publisher: Techno Press
Source: Structural engineering and mechanics, 2004, v. 18, no. 6, p. 709-729 How to cite?
Journal: Structural engineering and mechanics 
Abstract: This paper presents numerical and experimental investigations on damage detection of mono-coupled multistory buildings using natural frequency as only diagnostic parameter. Frequency equation of a mono-coupled multistory building is first derived using the transfer matrix method. Closed-form sensitivity equation is established to relate the relative change in the stiffness of each story to the relative changes in the natural frequencies of the building. Damage detection is then performed using the sensitivity equation with its special features and minimizing the norm of an objective function with an inequality constraint. Numerical and experimental investigations are finally conducted on a mono-coupled 3-story building model as an application of the proposed algorithm, in which the influence of modeling error on the degree of accuracy of damage detection is discussed. A mono-coupled 10-story building is further used to examine the capability of the proposed algorithm against measurement noise and incomplete measured natural frequencies. The results obtained demonstrate that changes in story stiffness can be satisfactorily detected, located, and quantified if all sensitive natural frequencies to damaged stories are available. The proposed damage detection algorithm is not sensitive to measurement noise and modeling error.
ISSN: 1225-4568
EISSN: 1598-6217
Appears in Collections:Journal/Magazine Article

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


Last Week
Last month
Citations as of Feb 25, 2017


Last Week
Last month
Citations as of Aug 14, 2017

Page view(s)

Last Week
Last month
Checked on Aug 20, 2017

Google ScholarTM


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