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DNS AND LES WITH STOCHASTIC MODELLING OF SUBGRID ACCELERATION APPLIED TO SOLID PARTICLES IN A HIGH REYNOLDS NUMBER CHANNEL FLOW

Remi Zamansky
Laboratoire de Méecanique des Fluides et d'Acoustique (LMFA) CNRS UMR 5509, Ecole Centrale de Lyon, Université Claude Bernard Lyon 1 69134 Ecully Cedex, France; Center for Turbulence Research Stanford University USA

Ivana Vinkovic
Laboratoire de Mécanique des Fluides et d'Acoustique, Université de Lyon, Université Claude Bernard Lyon 1, Ecole Centrale de Lyon, INSA de Lyon, CNRS UMR 5509, 36 Avenue Guy de Collongue, F-69134 Ecully, France

Mikhael Gorokhovski
CORIA UMR 6614 CNRS University of Rouen, Site Universitaire du Madrillet BP12, 76801 Saint Etienne du Rouvray; and LMFA UMR 5509 CNRS Ecole Centrale de Lyon, 36 avenue Guy de Collongue, 69131 Ecully Cedex, France

Аннотация

Inertial particle acceleration statistics are analyzed using DNS in the case of a highly turbulent channel flow. Along with effects recognized in homogeneous isotropic turbulence, an additional effect is observed due to high and low speed vortical structures aligned with the channel wall. In response to those structures, the inertial particles experience strong longitudinal acceleration variations. DNS is also used in order to assess LES-SSAM (Subgrid Stochastic Acceleration Model), in which an approximation to the instantaneous non-filtered velocity field is given by simulation of both, filtered and residual, accelerations. Advantages of this approach in predicting particle dynamics in the channel flow at a high Reynolds number are shown.