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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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On the magnitude and variability of subgrid-scale eddy-diffusion coefficients in the atmospheric surface layer

TL;DR: In this paper, a field study [Horizontal Arrays Turbulence Study (HATS)] specifically designed to measure turbulence quantities of interest in LES, such as the parameter cs, is conducted.
Journal ArticleDOI

LES of a turbulent jet impinging on a heated wall using high-order numerical schemes

TL;DR: In this paper, a large-eddy simulation of a turbulent impinging jet flow with a nozzle-to-plate distance of two jet diameters and a Reynolds number of Re = 10, 000 is presented in comparison with experimental data and results from a Direct Numerical Simulation (DNS).
Journal ArticleDOI

Stability transitions and turbulence in horizontal convection

TL;DR: In this article, the authors use three-dimensional direct numerical simulation (DNS) and large-eddy simulation (LES) over a wide range of Rayleigh numbers,, for Prandtl number and a small aspect ratio, and show that a sequence of several stability transitions at defines a change from laminar to turbulent flow.
Journal ArticleDOI

Smoothed particle hydrodynamics method from a large eddy simulation perspective

TL;DR: In this paper, the LES filtering procedure is recast in a Lagrangian framework by defining a filter that moves with the positions of the fluid particles at the filtered velocity.
Journal ArticleDOI

Sub-grid scale model classification and blending through deep learning

TL;DR: In this article, the use of machine learning for spatiotemporally dynamic turbulence model classification and hybridization for the large eddy simulations (LES) of turbulence is described.
References
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Journal ArticleDOI

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Journal ArticleDOI

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TL;DR: In this article, a direct numerical simulation of a turbulent channel flow is performed, where the unsteady Navier-Stokes equations are solved numerically at a Reynolds number of 3300, based on the mean centerline velocity and channel half-width, with about 4 million grid points.
Journal ArticleDOI

Renormalization group analysis of turbulence I. Basic theory

TL;DR: In this article, a dynamic renormalization group (RNG) method for hydrodynamic turbulence was developed, which uses dynamic scaling and invariance together with iterated perturbation methods, allowing us to evaluate transport coefficients and transport equations for the large scale (slow) modes.
Journal ArticleDOI

A numerical study of three-dimensional turbulent channel flow at large Reynolds numbers

TL;DR: In this article, the three-dimensional, primitive equations of motion have been integrated numerically in time for the case of turbulent, plane Poiseuille flow at very large Reynolds numbers.
Journal ArticleDOI

On Turbulent Flow Near a Wall

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