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About the uncertainty quantification of turbulence and cavitation models in cavitating flows simulations

  • LMPM-ENSMA UMR 6617 CNRS
  • INRIA Institut National de Recherche en Informatique et en Automatique

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)190-204
Number of pages15
JournalEuropean Journal of Mechanics, B/Fluids
Volume53
DOIs
Publication statusPublished - 15 Jun 2015

Keywords

  • Bayesian-based methods
  • Cavitation
  • Turbulence
  • Uncertainty quantification

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