A method for evaluating the static response of uncertain finite element (FE) discretised structures is presented. The method is comparable with the perturbation procedures from a computational point of view, but it overcomes the drawbacks related to these procedures. In fact the present method gives
Modal approaches for the stochastic finite element analysis of structures with material and geometric uncertainties
β Scribed by Benoit Van den Nieuwenhof; Jean-Pierre Coyette
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 557 KB
- Volume
- 192
- Category
- Article
- ISSN
- 0045-7825
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β¦ Synopsis
This paper presents two efficient modal approaches as an alternative to direct formulations for the time-harmonic dynamic analysis of structures with random material and shape parameters. In both approaches, the structural eigenproblem is solved and complemented by a sensitivity analysis to the random parameters. The modal perturbation stochastic finite element method (SFEM) then condenses the response sensitivities to assess the response variability. The mixed perturbation/Monte-Carlo SFEM assesses the response statistics by sampling the structural eigenmodes according to the perturbation estimation of their probability distribution functions (PDFs). Geometric uncertainties are handled through an appropriate shape parameterisation and a shape design sensitivity analysis. Two numerical applications examine both approaches in terms of accuracy, variability level and computational requirements. The applications involve a plate bending problem with random Young modulus or edge length and a plate with a random flatness default. Particular observations related to the influence of the parameter PDFs in simulation-based methods are also provided.
π SIMILAR VOLUMES
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