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Experimental Verification of a Number of Structural System Identification Algorithms

R.G.Ghanem, H.Gavin, M.Shinozuka

NCEER-91-0024 | 9/18/1991 | 390 pages

About the Report:

TOC: The table of contents is provided.

Keywords: Structural Systems, Experimental Verification, Extended Kalman Filters, Building Models, System Identification Techniques, Recursive Instrumental Variable Method, Structural Identification Algorithms, Maximum Likelihood Estimates, and Recursive Least Squares Method.

Abstract: This investigation examines the application of four system identification techniques to problems of earthquake engineering. A number of techniques for structural system identification have been developed which successfully identify properties of linearized and time-invariant equivalent structural systems. In this report, a number of structural identification algorithms are reviewed and applied to the identification of structural systems subjected to earthquake excitations. The algorithms are applied to experimental data obtained in controlled laboratory conditions. The data pertains to the acceleration records from two building models subjected to various loading conditions. The performance of the various identification algorithms is critically assessed and guidelines are obtained regarding their suitability to various engineering applications