Uncertainty quantification of turbulence and cavitation models in cavitating flows simulations
CONGEDO, Pietro Marco
Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM]
Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM]
GONCALVES DA SILVA, Eric
Institut Pprime [UPR 3346] [PPrime [Poitiers]]
Laboratoire des Écoulements Géophysiques et Industriels [Grenoble] [LEGI]
Institut Pprime [UPR 3346] [PPrime [Poitiers]]
Laboratoire des Écoulements Géophysiques et Industriels [Grenoble] [LEGI]
RODIO, Maria Giovanna
Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM]
Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM]
CONGEDO, Pietro Marco
Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM]
Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM]
GONCALVES DA SILVA, Eric
Institut Pprime [UPR 3346] [PPrime [Poitiers]]
Laboratoire des Écoulements Géophysiques et Industriels [Grenoble] [LEGI]
Institut Pprime [UPR 3346] [PPrime [Poitiers]]
Laboratoire des Écoulements Géophysiques et Industriels [Grenoble] [LEGI]
RODIO, Maria Giovanna
Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM]
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Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM]
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en
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Este ítem está publicado en
2015-01
Resumen en inglés
Prediction in numerical simulation of turbulent cavitating flows is strongly influenced by the presence of several empirical coefficients.The aim of the present paper is to explore the interaction between the cavitation ...Leer más >
Prediction in numerical simulation of turbulent cavitating flows is strongly influenced by the presence of several empirical coefficients.The aim of the present paper is to explore the interaction between the cavitation model and turbulence in terms of uncertainty propagation through an unsteady numerical solver, for assessing the robustness and the accuracy of the physical models at different times. Furthermore, the influence of experimental data in the setting of some turbulence and cavitation model coefficients is investigated by means of a Bayesian approach. Finally, the interest is to provide some innovative insights for improving the understanding of these models for cavitating flows.< Leer menos
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