Statistical and probabilistic modeling of a cloud of particles coupled with a turbulent fluid

Abstract : This paper exposes a novel exploratory formalism, which end goal 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.
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Submitted on : Monday, October 1, 2018 - 1:54:43 PM
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Ludovic Goudenège, Adam Larat, Julie Llobell, Marc Massot, David Mercier, et al.. Statistical and probabilistic modeling of a cloud of particles coupled with a turbulent fluid. ESAIM: Proceedings and Surveys, EDP Sciences, 2018, 65, pp.401-424. ⟨10.1051/proc/201965401 ⟩. ⟨hal-01884814⟩



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