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Communication Dans Un Congrès Année : 2014

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.
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Dates et versions

hal-01023549 , version 1 (14-07-2014)

Identifiants

  • HAL Id : hal-01023549 , version 1

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Sami Daouk, François Louf, Laurent Champaney, Olivier Dorival. Comparative analysis of stochastic and non-stochastic methods for the evaluation of uncertainties in simulated and experimental data. XIXth Symposium Vibrations, SHocks and NOise, VISHNO 2014, 2014, Aix-en-Provence, France. ⟨hal-01023549⟩
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