Skip to Main content Skip to Navigation
Theses

Numerical schemes for the hybrid modeling of gas-particle turbulent flows

Abstract : Hybrid Moments/PDF methods have shown to be well suitable for the description of polydispersed turbulent two-phase flows in non-equilibrium which are encountered in some industrial situations involving chemical reactions, combustion or sprays. They allow to obtain a fine enough physical description of the polydispersity, non-linear source terms and convection phenomena. However, their approximations are noised with the statistical error, which in several situations may be a source of a bias. An alternative hybrid Moments-Moments/PDF approach examined in this work consists in coupling the Moments and the PDF descriptions, within the description of the dispersed phase itself. This hybrid method could reduce the statistical error and remove the bias. However, such a coupling is not straightforward in practice and requires the development of accurate and stable numerical schemes. The approaches introduced in this work rely on the combined use of the upwinding and relaxation-type techniques. They allow to obtain stable unsteady approximations for a system of partial differential equations containing non-smooth external data which are provided by the PDF part of the model. A comparison of the results obtained using the present method with those of the "classical" hybrid approach is presented in terms of the numerical errors for a case of a co-current gas-particle wall jet.
Document type :
Theses
Complete list of metadatas

Cited literature [235 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-00820978
Contributor : Kateryna Dorogan <>
Submitted on : Tuesday, May 7, 2013 - 10:11:40 AM
Last modification on : Thursday, January 23, 2020 - 6:22:16 PM
Long-term archiving on: : Thursday, August 8, 2013 - 4:05:03 AM

Identifiers

  • HAL Id : tel-00820978, version 1

Collections

Citation

Kateryna Dorogan. Numerical schemes for the hybrid modeling of gas-particle turbulent flows. Modeling and Simulation. Aix-Marseille Université; EDF R&D, 2012. English. ⟨tel-00820978⟩

Share

Metrics

Record views

251

Files downloads

479