Modal identification of weakly nonlinear multidimensional dynamical systems using a stochastic linearization method with random coefficients

Abstract

It is known that an efficient approach for modal identification of a weakly nonlinear multidimensional second-order dynamical system consists in using a model based on equivalent stochastic linearization with constant coefficients. Such a model leads to a good identification of the total power of the stationary response but can give an incorrect… (More)

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Cite this paper

@inproceedings{Soize2016ModalIO, title={Modal identification of weakly nonlinear multidimensional dynamical systems using a stochastic linearization method with random coefficients}, author={Christian Soize and O. Le Fur}, year={2016} }