Robust updating of computational models with uncertainties for dynamical systems
Résumé
This paper deals with the robust updating of stochastic computational models of composite sandwich panels in the context of structural dynamics in the low- and medium-frequency range, for which experimental results are available. The uncertain computational model is constructed using the nonparametric probabilistic approach which takes into account model and data uncertainties. The formulation of the robust updating problem includes the effects of uncertainties and consists in minimizing a cost function with respect to an admissible set of updating parameters. Several cost functions are constructed, validated and compared using the experimental results. The results of the robust updating problem shows that the methods proposed are efficient for updating the computational model in both low- and medium-frequency range.
Mots clés
uncertainty quantification
robust updating
composite sandwich materials
low frequency: medium frequency
structural dynamics
random vibration
nonlinear stochastic dynamics
coupled dynamical systems
random unceratinties
nonparametric probabilistic method
model uncertainties
modeling errors
random matrix
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conference-2009-COMPDYN2007-Rethymo-capiez-soize-preprint.pdf (340.24 Ko)
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