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Journal ArticleDOI

Hybrid LES-RANS: A one-equation SGS Model combined with a κ - ω model for predicting recirculating flows

TLDR
In this paper, a hybrid LES-RANS modeling approach is proposed, where RANS is used in the near wall regions (y ≤ 60), and the turbulence is modelled with a κ-ω model.
Abstract
A hybrid LES-RANS modelling approach is proposed. RANS is used in the near wall regions (y ≤ 60), and the turbulence is modelled with a κ-ω model. LES is used in the remaining part of the flow, and the SGS turbulence is modelled with a one-equation κ sgs model. The same continuity and momentum equations are solved throughout the domain, the only difference being that the turbulent viscosity is taken from the κ-ω model in the RANS region, and from the one-equation κ sgs model in the LES region. The new modelling approach is applied to two incompressible flow test cases. They are fully developed flow in a plane channel and the flow over a 2D-hill in a channel

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Citations
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Journal ArticleDOI

Wall-layer models for large-eddy simulations

TL;DR: In this article, the authors present three broad classes of approaches: bypassing this region altogether using wall functions, solving a separate set of equations in the nearwall region, weakly coupled to the outer flow, or simulating the near-wall region in a global, Reynolds-averaged, sense.
Journal ArticleDOI

Hybrid LES/RANS methods for the simulation of turbulent flows

TL;DR: A coherent review of the various approaches proposed in the recent literature on hybrid LES/RANS approaches is presented to provide information on how to distinguish different methods and their ingredients and to further the understanding of inherent limitations and difficulties.
Journal ArticleDOI

Wall-layer models for large-eddy simulations

TL;DR: In this article, the authors present three broad classes of approaches: bypassing this region altogether using wall functions, solving a separate set of equations in the nearwall region, weakly coupled to the outer flow, or simulating the near-wall region in a global, Reynolds-averaged, sense.
Journal ArticleDOI

Large eddy simulation with modeled wall-stress: recent progress and future directions

TL;DR: In this article, the authors provide a brief introduction to the near-wall problem of LES and how it can be solved through modeling of the near wall turbulence, and the distinctions and key differences between different approaches are emphasized, both in terms of fidelity (LES, wall-modeled LES, and DES) and in the terms of different wall modelled LES approaches (hybrid LES/RANS and wall-stress-models).
Journal ArticleDOI

Large Eddy Simulations: How to evaluate resolution

TL;DR: In this paper, an analysis of fully developed channel flow at Reynolds number of Re = u τ δ / ν = 4000 based on the friction velocity, u τ, and half the channel height, δ.
References
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Journal ArticleDOI

A dynamic subgrid‐scale eddy viscosity model

TL;DR: In this article, a new eddy viscosity model is presented which alleviates many of the drawbacks of the existing subgrid-scale stress models, such as the inability to represent correctly with a single universal constant different turbulent fields in rotating or sheared flows, near solid walls, or in transitional regimes.
Journal ArticleDOI

Numerical Study of the Turbulent Flow Past an Airfoil with Trailing Edge Separation

TL;DR: In this paper, a methode numerique par volume fini pour the resolution des equations de Navier-Stokes bidimensionnelles, incompressible, and stationnaires, en coordonnees generales curvilignes, is presented.
Journal ArticleDOI

Subgrid Scale Model for Finite Difference Simulations of Turbulent Flows in Plane Channels and Annuli

TL;DR: In this paper, the finite difference procedure and the subgrid scale (SGS) motion model are used to simulate high Reynolds number turbulent flows of incompressible fluids in plane channels and annuli, and the boundary conditions are formulated in a manner consistent with the SGS theory.
Journal ArticleDOI

A Lagrangian dynamic subgrid-scale model of turbulence

TL;DR: In this paper, the Smagorinsky eddy-viscosity model is combined with a spatially averaged dynamic model for complex-geometry inhomogeneous flows, and a new dynamic model formulation is introduced that combines advantages of the statistical and local approaches.
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