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S. Benfratello*, S. Caddemi* and G. Muscolino+

*Department of Structural Engineering and Geotechnics, University of Palermo, Palermo, Italy
+Department of Constructions and Advanced Technologies, University of Messina, Messina, Italy

doi:10.4203/ccp.55.15.2

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S. Benfratello, S. Caddemi, G. Muscolino, "Non Gaussian Stochastic Sensitivity Analysis Method for the Optimization of Secondary Structure", in B.H.V. Topping, (Editor), "Advances in Computational Structural Mechanics", Civil-Comp Press, Edinburgh, UK, pp 355-362, 1998. doi:10.4203/ccp.55.15.2

Abstract

The derivatives of the response of a structural system with respect to the system parameters are termed sensitivities. They play an important role in assessing the effect of uncertainties in the mathematical model of the system, in predicting changes in the response due to changes in the design parameters.

In this paper a time domain approach for evaluating the sensitivity of the primary response with respect to mass, stiffness and damping of a secondary system for both deterministic and non-Gaussian stochastic input is presented. In particular, the stochastic input has been assumed as a delta-correlated process and, by extensively using the Kronecker algebra, the higher order cumulant sensitivities have been obtained by solving sets of algebraic or differential equations for stationary and non-stationary input, respectively.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 55 ADVANCES IN COMPUTATIONAL STRUCTURAL MECHANICS Edited by: B.H.V. Topping Paper XV.2 Non Gaussian Stochastic Sensitivity Analysis Method for the Optimization of Secondary Structure S. Benfratello, S. Caddemi and G. Muscolino+ *Department of Structural Engineering and Geotechnics, University of Palermo, Palermo, Italy +Department of Constructions and Advanced Technologies, University of Messina, Messina, Italy doi:10.4203/ccp.55.15.2 purchase the full-text of this paper Full Bibliographic Reference for this paper S. Benfratello, S. Caddemi, G. Muscolino, "Non Gaussian Stochastic Sensitivity Analysis Method for the Optimization of Secondary Structure", in B.H.V. Topping, (Editor), "Advances in Computational Structural Mechanics", Civil-Comp Press, Edinburgh, UK, pp 355-362, 1998. doi:10.4203/ccp.55.15.2 Abstract The derivatives of the response of a structural system with respect to the system parameters are termed sensitivities. They play an important role in assessing the effect of uncertainties in the mathematical model of the system, in predicting changes in the response due to changes in the design parameters. In this paper a time domain approach for evaluating the sensitivity of the primary response with respect to mass, stiffness and damping of a secondary system for both deterministic and non-Gaussian stochastic input is presented. In particular, the stochastic input has been assumed as a delta-correlated process and, by extensively using the Kronecker algebra, the higher order cumulant sensitivities have been obtained by solving sets of algebraic or differential equations for stationary and non-stationary input, respectively. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £95 +P&P)
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