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Uncertainty quantification of turbulence and cavitation models in cavitating flows simulations

Abstract : 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.
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https://hal.inria.fr/hal-01100687
Contributor : Pietro Marco Congedo <>
Submitted on : Thursday, January 15, 2015 - 10:31:59 AM
Last modification on : Thursday, November 19, 2020 - 3:54:10 PM
Long-term archiving on: : Friday, September 11, 2015 - 6:49:07 AM

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  • HAL Id : hal-01100687, version 2

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Pietro Marco Congedo, Eric Goncalves da Silva, Maria Giovanna Rodio. Uncertainty quantification of turbulence and cavitation models in cavitating flows simulations. [Research Report] RR-8663, INRIA Bordeaux; INRIA. 2015. ⟨hal-01100687v2⟩

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