Statistical and probabilistic modeling of a cloud of particles coupled with a turbulent fluid
This paper exposes a novel exploratory formalism, the end goal of which is the numerical simulation of the dynamics of a cloud of particles weakly or strongly coupled with a turbulent fluid. Given the large panel of expertise of the list of authors, the content of this paper scans a wide range of co...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2019-01-01
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Series: | ESAIM: Proceedings and Surveys |
Online Access: | https://www.esaim-proc.org/articles/proc/pdf/2019/01/proc196517.pdf |
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author | Goudenège Ludovic Larat Adam Llobell Julie Massot Marc Mercier David Thomine Olivier Vié Aymeric |
author_facet | Goudenège Ludovic Larat Adam Llobell Julie Massot Marc Mercier David Thomine Olivier Vié Aymeric |
author_sort | Goudenège Ludovic |
collection | DOAJ |
description | This paper exposes a novel exploratory formalism, the end goal of which is the numerical simulation of the dynamics of a cloud of particles weakly or strongly coupled with a turbulent fluid. Given the large panel of expertise of the list of authors, the content of this paper scans a wide range of connex notions, from the physics of turbulence to the rigorous definition of stochastic processes. Our approach is to develop reduced-order models for the dynamics of both carrying and carried phases which remain consistant within this formalism, and to set up a numerical process to validate these models. The novelties of this paper lie in the gathering of a large panel of mathematical and physical definitions and results within a common framework and an agreed vocabulary (sections 1 and 2), and in some preliminary results and achievements within this context, section 3. While the first three sections have been simplified to the context of a gas field providing that the disperse phase only retrieves energy through drag, the fourth section opens this study to the more complex situation when the disperse phase interacts with the continuous phase as well, in an energy conservative manner. This will allow us to expose the perspectives of the project and to conclude. |
first_indexed | 2024-04-11T03:27:58Z |
format | Article |
id | doaj.art-72072ab7be2e4e258c3077082ffa1948 |
institution | Directory Open Access Journal |
issn | 2267-3059 |
language | English |
last_indexed | 2024-04-11T03:27:58Z |
publishDate | 2019-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | ESAIM: Proceedings and Surveys |
spelling | doaj.art-72072ab7be2e4e258c3077082ffa19482023-01-02T06:58:16ZengEDP SciencesESAIM: Proceedings and Surveys2267-30592019-01-016540142410.1051/proc/201965401proc196517Statistical and probabilistic modeling of a cloud of particles coupled with a turbulent fluidGoudenège LudovicLarat AdamLlobell JulieMassot MarcMercier DavidThomine OlivierVié AymericThis paper exposes a novel exploratory formalism, the end goal of which is the numerical simulation of the dynamics of a cloud of particles weakly or strongly coupled with a turbulent fluid. Given the large panel of expertise of the list of authors, the content of this paper scans a wide range of connex notions, from the physics of turbulence to the rigorous definition of stochastic processes. Our approach is to develop reduced-order models for the dynamics of both carrying and carried phases which remain consistant within this formalism, and to set up a numerical process to validate these models. The novelties of this paper lie in the gathering of a large panel of mathematical and physical definitions and results within a common framework and an agreed vocabulary (sections 1 and 2), and in some preliminary results and achievements within this context, section 3. While the first three sections have been simplified to the context of a gas field providing that the disperse phase only retrieves energy through drag, the fourth section opens this study to the more complex situation when the disperse phase interacts with the continuous phase as well, in an energy conservative manner. This will allow us to expose the perspectives of the project and to conclude.https://www.esaim-proc.org/articles/proc/pdf/2019/01/proc196517.pdf |
spellingShingle | Goudenège Ludovic Larat Adam Llobell Julie Massot Marc Mercier David Thomine Olivier Vié Aymeric Statistical and probabilistic modeling of a cloud of particles coupled with a turbulent fluid ESAIM: Proceedings and Surveys |
title | Statistical and probabilistic modeling of a cloud of particles coupled with a turbulent fluid |
title_full | Statistical and probabilistic modeling of a cloud of particles coupled with a turbulent fluid |
title_fullStr | Statistical and probabilistic modeling of a cloud of particles coupled with a turbulent fluid |
title_full_unstemmed | Statistical and probabilistic modeling of a cloud of particles coupled with a turbulent fluid |
title_short | Statistical and probabilistic modeling of a cloud of particles coupled with a turbulent fluid |
title_sort | statistical and probabilistic modeling of a cloud of particles coupled with a turbulent fluid |
url | https://www.esaim-proc.org/articles/proc/pdf/2019/01/proc196517.pdf |
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