Comparative analysis of stochastic and non-stochastic methods for the evaluation of uncertainties in simulated and experimental data
Résumé
Model validation of real structures remains a major issue, not only because of their complexity but also due to their un- certain behavior. Thus, in order to build accurate models and take uncertainties into account, many numerical stochastic and non-stochastic methods have been developed. This work aims to provide engineers with useful information on mod- eling data uncertainties in structural mechanics. It starts with a state-of-the-art review of some widely used techniques, followed by a presentation of the Lack-Of-Knowledge (LOK) theory. The study of a case representative of a booster pump of thermal units shows the ability of the LOK theory to assess the propagation of numerous small and large uncertainties in simulated and experimental data.
Origine : Fichiers produits par l'(les) auteur(s)
Loading...