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  4. Particle subgrid scale modeling in hybrid RANS/LES of turbulent channel flow at low to moderate Reynolds number
 
research article

Particle subgrid scale modeling in hybrid RANS/LES of turbulent channel flow at low to moderate Reynolds number

Sayed, Mohamed Aly  
•
Dehbi, Abdel
•
Niceno, Bojan
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November 27, 2021
Jounral of Powder Technology

Particle dispersion in a periodic channel is studied using the elliptic relaxation hybrid RANS/LES (ER-HRL) model. This approach employs a four-equation linear eddy viscosity (LEV) model while in Reynolds Averaged Navier-Stokes (RANS) mode near the wall, and switches to the LES Smagorinsky dynamic model in the outer flow region. We perform a systematic analysis of the dispersion of six sets of particles having Stokes numbers St = 0.2, 1, 5, 15, 25, 125 at shear Reynolds numbers of Reτ=150, 590. To account for the effect of the unresolved scales on particle dispersion, a novel subgrid-scale model (SGS) is proposed based on the wall-normal RMS of the velocity transport equation. The ER-HRL model is validated against DNS and LES databases, with a globally good agreement. For higher Reynolds number i.e. Reτ = 590, the model, with a much coarser grid, outperforms the LES subgrid stochastic acceleration (LES-SSAM) approach.

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Type
research article
DOI
10.1016/j.powtec.2021.11.057
Author(s)
Sayed, Mohamed Aly  
Dehbi, Abdel
Niceno, Bojan
Mikityuk, Konstantin  
Corporate authors
Paul Scherrer Institut
Date Issued

2021-11-27

Published in
Jounral of Powder Technology
Volume

397

Article Number

117013

Subjects

Turbophoresis

•

Particle-laden flow

•

Hybrid RANS/LES

•

Lagrangian particle tracking

•

Particle subgrid scale modeling

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Wall modeled large eddy simulation

URL

Visualization animation

https://www.linkedin.com/feed/update/urn:li:activity:6871754348049788928/

Project data

https://www.researchgate.net/project/Particle-Sub-Grid-Scale-Modeling-in-Wall-bounded-Turbulent-Flows-Using-Hybrid-RANS-LES
Editorial or Peer reviewed

REVIEWED

Written at

OTHER

FunderGrant Number

Swiss foundations

200021-175532

Available on Infoscience
April 27, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/187464
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