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Structural Performance Assessment with Minimum Uncertainty-Filled Information

Volume 4, Number 2, April 2008 - Paper 3 - pp. 121 - 140


1Talavera Design and Construction, Tucson, AZ 85719, U.S.A.
2The Hashemite University, Zarqa, Jordan
3University of Arizona, Tucson, AZ 85721, U.S.A

(Received on August 02, 2007)


A novel structural performance/health assessment method, denoted as GILS-EKF-UI, is under development by the research team at the University of Arizona. The procedure is essentially inverse solution of a system identification-based algorithm in the presence of uncertainty. The unique feature of the algorithm is that it can identify members' properties and in the process access the performance/health of a structural system using only noise-contaminated dynamic response information measured at few locations completely ignoring the excitation information. The experimental and analytical verification of the method is emphasized in this paper. To verify the GILS-EKF-UI method using minimum response information, a substructure is considered. A two-dimensional defect-free steel frame is identified using limited analytical (noise-free and noise-contaminated) and experimental responses. Several defects were then introduced in the frame. Two defects in particular; by removing a member and by reducing the cross sectional area of a member over a finite length, are presented in the paper. In all cases, the GILS-EKF-UI method predicted the health of the frame by correctly identifying the defect and its location, conclusively establishing the viability of the novel concept.



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