Stochastic Vector Identification and Uncertain Modal Parameter Estimation for a Smart Composite Beam

Abstract:

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This study aims at identifying the modal characteristics and their uncertainties for a smart composite beam. The problem is addressed via Vector AutoRegressive with eXogenous excitation (VARX) models. The advantages of VARX modeling include simplicity of implementation, high accuracy, parsimony of representation, and capability of handling modal uncertainties. Two different approaches to assess the modal parameter uncertainties are investigated. The first is based upon linearizing the function that relates the VARX model parameters with the modal parameters, whereas the second is based upon computer simulations using the Monte Carlo and the bootstrap schemes. The results indicate that VARX modeling captures the system dynamics and provides accurate modal parameters with tight confidence intervals.

Info:

Periodical:

Edited by:

Pietro VINCENZINI and Fabio CASCIATI

Pages:

453-458

DOI:

10.4028/www.scientific.net/AST.56.453

Citation:

J. D. Hios and S. D. Fassois, "Stochastic Vector Identification and Uncertain Modal Parameter Estimation for a Smart Composite Beam", Advances in Science and Technology, Vol. 56, pp. 453-458, 2008

Online since:

September 2008

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$35.00

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