This study deals with the sensitivity analysis of the response of linear discretized structures with uncertain stiffness parameters subjected to stationary multi-correlated Gaussian random excitation. The proposed procedure relies on the use of the so-called rational series expansion (RSE), recently proposed by the authors as an alternative explicit form of the Neumann series expansion of the inverse of an invertible matrix with a modification of rank r. The RSE allows to derive approximate explicit expressions of the sensitivities of the probabilistic characteristics of the stationary stochastic response in the frequency domain by direct differentiation. The accuracy of the proposed procedure and computational issues related to sensitivity analy-sis are scrutinized through numerical results.

Frequency domain stochastic response of structural systems with uncertain parameters: closed-form sensitivity / Muscolino, G; Santoro, R; Sofi, Alba. - (2013), pp. 55-60. (Intervento presentato al convegno SEMC 2013: THE FIFTH INTERNATIONAL CONFERENCE ON STRUCTURAL ENGINEERING, MECHANICS AND COMPUTATION tenutosi a Cape town nel 2-4 Settembre 2013).

Frequency domain stochastic response of structural systems with uncertain parameters: closed-form sensitivity

SOFI, Alba
2013-01-01

Abstract

This study deals with the sensitivity analysis of the response of linear discretized structures with uncertain stiffness parameters subjected to stationary multi-correlated Gaussian random excitation. The proposed procedure relies on the use of the so-called rational series expansion (RSE), recently proposed by the authors as an alternative explicit form of the Neumann series expansion of the inverse of an invertible matrix with a modification of rank r. The RSE allows to derive approximate explicit expressions of the sensitivities of the probabilistic characteristics of the stationary stochastic response in the frequency domain by direct differentiation. The accuracy of the proposed procedure and computational issues related to sensitivity analy-sis are scrutinized through numerical results.
2013
978-113800061-2
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/16533
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact