Reproducing segregation and particle dynamics in Large Eddy Simulation of particle-laden flows - Département de mathématiques appliquées Accéder directement au contenu
Article Dans Une Revue International Conference on Liquid Atomization and Spray Systems (ICLASS) Année : 2021

Reproducing segregation and particle dynamics in Large Eddy Simulation of particle-laden flows

Résumé

Lagrangian simulations are today widely used for simulating aeronautical chambers. The way droplets are spatially distributed strongly affects the combustion, and accurate modeling and simulation strategies are required. The objective of the present contribution is to investigate how to correctly reproduce preferential concentration in Large Eddy Simulation (LES) of particleladen flows. Looking for a way to recover the DNS statistics, we highlight that stochastic models can fail in retrieving the tracer limit for non-inertial particles. We suggest a new strategy in the spirit of kinematic modeling of turbulence, which makes use of a random field with enforced divergence-free condition and spatial and temporal correlations. We show that the model can retrieve some Lagrangian statistics and in particular, particle segregation. We also suggest another approach for the LES particle model, based on retrieving not DNS statistics but filtered DNS statistics. We show that in this case, stochastic models can be relevant and appropriate.
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Dates et versions

hal-03429603 , version 1 (15-11-2021)

Identifiants

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Roxane Letournel, Frédérique Laurent, Marc Massot, Aymeric Vié. Reproducing segregation and particle dynamics in Large Eddy Simulation of particle-laden flows. International Conference on Liquid Atomization and Spray Systems (ICLASS), 2021, 1 (1), ⟨10.2218/iclass.2021.5949⟩. ⟨hal-03429603⟩
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