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Advances in Civil EngineeringVolume 2012 2012, Article ID 582472, 16 pages

Research Article

Department of Civil Engineering and Engineering Mechanics, University of Arizona, P.O. Box 210072, Tucson, AZ 85721, USA

Department of Civil Engineering, Bengal Engineering and Science University, Howrah, 711103 WB, India

Received 2 March 2011; Revised 24 May 2011; Accepted 8 June 2011

Academic Editor: Alessandro Marzani

Copyright © 2012 Ajoy Kumar Das et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Some recent advances of a recently developed structural health assessment procedure proposed by the research team at the University of Arizona, commonly known as generalized iterative least-squares extended Kalman filter with unknown input GILS-EKF-UI are presented. The procedure is a finite elements-based time-domain system-identification technique. It can assess structural health at the element level using only limited number of noise-contaminated responses. With the help of examples, it is demonstrated that the structure can be excited by multiple loadings simultaneously. The method can identify defects in various stages of degradation in single or multiple members and also relatively less severe defect. The defective elements need not be in the substructure, but the defect detection capability increases if the defect spot is close to the substructure. Two alternatives are suggested to locate defect spot more accurately within a defective element. The paper advances several areas of GILS-EKF-UI to assess health of large structural systems.

Autor: Ajoy Kumar Das, Achintya Haldar, and Subrata Chakraborty



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