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Response of Systems Under Non-Gaussian Random Excitations

Cai, G Q ; Suzuki, Y

Nonlinear dynamics, 2006-07, Vol.45 (1-2), p.95-108 [Periódico revisado por pares]

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Título:
Response of Systems Under Non-Gaussian Random Excitations
Autor: Cai, G Q ; Suzuki, Y
Assuntos: Excitation ; Gaussian process ; Linear systems ; Linearization ; Nonlinear filters ; Nonlinear systems ; Nonlinearity ; Stochastic processes
É parte de: Nonlinear dynamics, 2006-07, Vol.45 (1-2), p.95-108
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
Descrição: The approach of nonlinear filter is applied to model non-Gaussian stochastic processes defined in an infinite space, a semi-infinite space or a bounded space with one-peak or multiple peaks in their spectral densities. Exact statistical moments of any order are obtained for responses of linear systems jected to such non-Gaussian excitations. For nonlinear systems, an improved linearization procedure is proposed by using the exact statistical moments obtained for the responses of the equivalent linear systems, thus, avoiding the Gaussian assumption used in the conventional linearization. Numerical examples show that the proposed procedure has much higher accuracy than the conventional linearization in cases of strong system nonlinearity and/or high excitation non-Gaussianity.
Editor: Dordrecht: Springer Nature B.V
Idioma: Inglês

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