A response surface approach for the finite element analysis of uncertain structures undergoing large displacements is presented. This method is based on the use of ad hoc response surface functions built up by ratios of polynomials. As opposite to commonly used linear or quadratic polynomials, such functions are insensitive to the sampling point positions. Once the response surface form is defined, response statistics can be approximated by analytical relationships or statistical simulation taking full advantage of sensitivity analysis. Numerical investigations demonstrated that a remarkable accuracy is achieved in the evaluation of both statistical moments and probability density functions of the response.

A response surface approach for the static analysis of stochastic structures with geometrical nonlinearities / Impollonia, N; Sofi, Alba. - In: COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING. - ISSN 0045-7825. - 192:37-38(2003), pp. 4109-4129. [10.1016/S0045-7825(03)00379-7]

A response surface approach for the static analysis of stochastic structures with geometrical nonlinearities

SOFI, Alba
2003-01-01

Abstract

A response surface approach for the finite element analysis of uncertain structures undergoing large displacements is presented. This method is based on the use of ad hoc response surface functions built up by ratios of polynomials. As opposite to commonly used linear or quadratic polynomials, such functions are insensitive to the sampling point positions. Once the response surface form is defined, response statistics can be approximated by analytical relationships or statistical simulation taking full advantage of sensitivity analysis. Numerical investigations demonstrated that a remarkable accuracy is achieved in the evaluation of both statistical moments and probability density functions of the response.
2003
finite element, reliability, uncertain structures, geometrical nonlinearities
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/2242
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