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Proceedings Paper

Nonlinear system identification of base-excited structures using an intelligent parameter varying (IPV) modeling approach
Author(s): Soheil Saadat; Gregory D. Buckner; Tadatoshi Furukawa; Mohammad N. Noori
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Paper Abstract

Health monitoring and damage detection strategies for base-excited structures typically rely on accurate models of the system dynamics. Restoring forces in these structures can exhibit highly non-linear characteristics, thus accurate non-linear system identification is critical. Parametric system identification approaches are commonly used, but require a priori knowledge of restoring force characteristics. Non-parametric approaches do not require this a priori information, but they typically lack direct associations between the model and the system dynamics, providing limited utility for health monitoring and damage detection. In this paper a novel system identification approach, the Intelligent Parameter Varying (IPV) method, is used to identify constitutive non-linearities in structures subject to seismic excitations. IPV overcomes the limitations of traditional parametric and non-parametric approaches, while preserving the unique benefits of each. It uses embedded radial basis function networks to estimate the constitutive characteristics of inelastic and hysteretic restoring forces in a multi-degree-of-freedom structure. Simulation results are compared to those of a traditional parametric approach, the prediction error method. These results demonstrate the effectiveness of IPV in identifying highly nonlinear restoring forces, without a priori information, while preserving a direct association with the structural dynamics.

Paper Details

Date Published: 1 August 2003
PDF: 10 pages
Proc. SPIE 5049, Smart Structures and Materials 2003: Modeling, Signal Processing, and Control, (1 August 2003); doi: 10.1117/12.484066
Show Author Affiliations
Soheil Saadat, North Carolina State Univ. (United States)
Gregory D. Buckner, North Carolina State Univ. (United States)
Tadatoshi Furukawa, Osaka Univ. (Japan)
Mohammad N. Noori, North Carolina State Univ. (United States)

Published in SPIE Proceedings Vol. 5049:
Smart Structures and Materials 2003: Modeling, Signal Processing, and Control
Ralph C. Smith, Editor(s)

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