Modeling and simulation of compressible turbulence in two-phase : application to the cavitating unsteady flow

The computation of cavitating flows is a challenging issue due to the characteristics of these flows : phase transition, large density gradient, Mach number variation, interaction between phases and turbulent flow, unsteadiness. In the present study, we performed a derivation of the one-fluid compressible homogenous model coupled with a RANS approach for the turbulent flow. From these equations and the nature of the cavitating flows, several models based on the eddy viscosity assumption have been tested : weakly non-linear models (SST and realisability corrections), compressible turbulence models, hybrid RANS/LES turbulence models (SAS, DES) and the Reboud correction. All the models are implemented in a compressible code, which solves the equations using an implicit dual-time stepping method coupling with a pre-conditionning technique for the incompressible area. 2D and 3D computations are performed on two Venturi geometries characterized by an unsteady cavitation sheet with a liquid/vapor re-entrant jet. All the models are able to capture the re-entrant jet. Nevertheless, the dynamic behaviour differs from one model to another and the lack of experimental data prevents to discriminate the models between them. From the results, the computations with the SAS model and the Reboud correction improve the prediction of the flow.

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Source https://theses.hal.science/tel-00814309
Author Decaix, Jean
Maintainer CCSD
Last Updated May 11, 2026, 06:04 (UTC)
Created May 11, 2026, 06:04 (UTC)
Identifier NNT: 2012GRENI061
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire des Écoulements Géophysiques et Industriels [Grenoble] (LEGI) ; Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Centre National de la Recherche Scientifique (CNRS)
creator Decaix, Jean
date 2012-10-11T00:00:00
harvest_object_id 0484dbf9-c41e-42b3-a521-83696697368e
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE