TECHNICAL PAPERS
Feb 1, 1999

On-Line Parametric Identification of MDOF Nonlinear Hysteretic Systems

Publication: Journal of Engineering Mechanics
Volume 125, Issue 2

Abstract

A method based on adaptive estimation approaches is presented for the on-line identification of hysteretic systems under arbitrary dynamic environments. The availability of such an identification approach is crucial for the on-line control and monitoring of time-varying structural systems. Previous work by the writers is extended to handle the general case when no information is available on the system parameters, even the mass distribution. A robust, least-squares-based adaptive identification algorithm, incorporating a Bouc-Wen hysteresis element model with additional polynomial-type nonlinear terms, is used to investigate the effects of persistence of excitation and of under- and overparameterization: challenging problems in realistic applications. In spite of the challenges encountered in the identification of the hereditary nature of the restoring force of such nonlinear systems, it is shown through the use of simulation studies of single-degree-of-freedom and certain multi-degree-of-freedom systems that the proposed approach can yield reliable estimates of the hysteretic restoring force and the hysteretic element model parameters.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 125Issue 2February 1999
Pages: 133 - 142

History

Received: Feb 18, 1998
Published online: Feb 1, 1999
Published in print: Feb 1999

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Asst. Prof., Dept. of Civ. Engrg. and Engrg. Mech., Columbia Univ., New York, NY 10027-6699.
Prof., Dept. of Civ. Engrg., Univ. of Southern California, Los Angeles, CA.
Prof., College of Engrg., California State Univ. Long Beach, CA 90840.
Prof., Div. of Engrg. and Appl. Sci., California Inst. of Technol., Pasadena, CA 91125.

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