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Journal ArticleDOI

A dynamic subgrid‐scale eddy viscosity model

Massimo Germano, +3 more
- 01 Jul 1991 - 
- Vol. 3, Iss: 7, pp 1760-1765
TLDR
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.
Abstract
One major drawback of the eddy viscosity subgrid‐scale stress models used in large‐eddy simulations is their inability to represent correctly with a single universal constant different turbulent fields in rotating or sheared flows, near solid walls, or in transitional regimes. In the present work a new eddy viscosity model is presented which alleviates many of these drawbacks. The model coefficient is computed dynamically as the calculation progresses rather than input a priori. The model is based on an algebraic identity between the subgrid‐scale stresses at two different filtered levels and the resolved turbulent stresses. The subgrid‐scale stresses obtained using the proposed model vanish in laminar flow and at a solid boundary, and have the correct asymptotic behavior in the near‐wall region of a turbulent boundary layer. The results of large‐eddy simulations of transitional and turbulent channel flow that use the proposed model are in good agreement with the direct simulation data.

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Citations
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Journal ArticleDOI

Neural networks based subgrid scale modeling in large eddy simulations

TL;DR: In this article, a multilayer feed-forward neural network (NN) is used as subgrid scale (SGS) model in a large eddy simulation (LES) to identify and reproduce the highly nonlinear behavior of the turbulent flows, and therefore the possibility of using NN techniques in numerical simulations of turbulent flows.
Book ChapterDOI

Can Large Eddy Simulation Techniques Improve Mesoscale Rich Ocean Models

TL;DR: Large-eddy simulations as discussed by the authors differ from other fluid flow computations in that the largest eddies are explicitly resolved and the smaller ones are modeled (as engineers call it) or parameterized (as oceanographers call it).
Journal ArticleDOI

Two-way coupled turbulence simulations of gas-particle flows using point-particle tracking

TL;DR: In this article, the authors address computational models for dilute gas-particle multiphase flow in which the three dimensional, time-dependent fluid motion is calculated in an Eulerian frame, and a large number of particles are tracked in a Lagrangian frame.
Journal ArticleDOI

Large-Eddy Simulation of the Flow Around a Bluff Body

TL;DR: In this article, large-eddy simulations are made of the flow around a surface-mounted cube, showing that it is possible to obtain accurate results in a coarse grid simulation by using a dynamic one-equation subgrid-scale model.
Journal ArticleDOI

Large-eddy simulation on unstructured deforming meshes: towards reciprocating IC engines

TL;DR: In this paper, a variable explicit/implicit numerical method for calculating advection on unstructured meshes has been developed for large-eddy simulation (LES) in reciprocating internal combustion engines.
References
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Journal ArticleDOI

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Journal ArticleDOI

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Journal ArticleDOI

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TL;DR: In this paper, the authors defined the distance from wall pipe radius pipe diameter mean local velocity parallel to wall velocity fluctuations parallel and normal to flow mass density coefficient of viscosity shear stress velocity correlation coefficient mixing length universal constant in I = Ky modified universal constant eddy viscosities size of roughness friction factor = 8rw/p V 2