Int J Performability Eng ›› 2008, Vol. 4 ›› Issue (2): 121-140.doi: 10.23940/ijpe.08.2.p121.mag
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R. MARTINEZ-FLORES1, H. KATKHUDA2, and A. HALDAR3
Abstract:
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.Received on August 02, 2007References:19
R. MARTINEZ-FLORES, H. KATKHUDA, and A. HALDAR. Structural Performance Assessment with Minimum Uncertainty-Filled Information [J]. Int J Performability Eng, 2008, 4(2): 121-140.
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URL: https://www.ijpe-online.com/EN/10.23940/ijpe.08.2.p121.mag
https://www.ijpe-online.com/EN/Y2008/V4/I2/121