Quantifying uncertainties in a Venturi multiphase configuration

Maria Giovanna Rodio 1 Pietro Marco Congedo 1
1 BACCHUS - Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems
Inria Bordeaux - Sud-Ouest, UB - Université de Bordeaux, CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : Modeling the complex physical structures of cavitating flows makes numerical simulation far to be predictive, and still a challenging issue. Understanding the role of physical and parametric uncertainties in cavitating flows is of primary importance in order to obtain reliable numerical solutions. In this paper, the impact of various sources of uncertainty on the prediction of cavitating flows is analyzed by coupling a non-intrusive stochastic method with a cavitating CFD solver. The proposed analysis is applied to a Venturi tube, where experimental data concerning vapor formation are available in literature. Numerical solutions with their associated error bars are compared to the experimental curves displaying a large sensitivity to the uncertainties of inlet boundary conditions. Furthermore, this is confirmed by computing the hierarchy of most predominant uncertainties by means of an ANOVA analysis. Finally, a simple algorithm is proposed in order to provide an optimized set of parameters for the cavitation model, thus permitting to obtain a deterministic solution equal to the most probable one when considering physical inlet uncertainties.
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[Research Report] RR-8180, INRIA. 2012
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Contributeur : Pietro Marco Congedo <>
Soumis le : vendredi 14 décembre 2012 - 00:26:41
Dernière modification le : jeudi 11 janvier 2018 - 06:22:35
Document(s) archivé(s) le : vendredi 15 mars 2013 - 03:45:07

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Maria Giovanna Rodio, Pietro Marco Congedo. Quantifying uncertainties in a Venturi multiphase configuration. [Research Report] RR-8180, INRIA. 2012. 〈hal-00765009〉

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