Please use this identifier to cite or link to this item: https://doi.org/10.1177/147592103031112
Title: Damage identification of structural members: Numerical and experimental studies
Authors: Koh, C.G. 
Qiao, G.Q.
Quek, S.T. 
Keywords: Damage assessment
Kalman filter
Structural health monitoring
System identification
Issue Date: 2003
Source: Koh, C.G.,Qiao, G.Q.,Quek, S.T. (2003). Damage identification of structural members: Numerical and experimental studies. Structural Health Monitoring 2 (1) : 41-55. ScholarBank@NUS Repository. https://doi.org/10.1177/147592103031112
Abstract: The main objective of the study is to formulate a numerical strategy suitable for structure member assessment in a quantifiable and objective way. Involving both numerical and experimental studies, the emphasis is on nondestructive damage detection of structural members with predominantly flexural deformations such as beams and columns. A time-domain system identification method, namely the extended Kalman Filter method, is adopted with some modifications. To reduce the identification system nonlinearity and hence improve the convergence performance, the method of stiffness-damping uncoupling is introduced. Flexural members with semirigid connections are modeled by the finite element method. Local damage is assumed to manifest itself as reduction in flexural rigidity. Numerical simulation study is carried out to illustrate the performance of the damage identification strategy, accounting for the effects of measurement noise. Dimensionless indicators are used to reveal the damage location and severity effectively. The problem of numerical leakage is reduced, by comparing average identification results before and after damage. Lastly, an experimental study for a reinforced concrete beam with controlled change in local stiffness further substantiates the feasibility of the proposed strategy. Copyright © 2003 Sage Publications.
Source Title: Structural Health Monitoring
URI: http://scholarbank.nus.edu.sg/handle/10635/65376
ISSN: 14759217
DOI: 10.1177/147592103031112
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