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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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Reference EntryDOI

Multiscale and Stabilized Methods

TL;DR: A general treatment of the variational multiscale method in the context of an abstract Dirichlet problem is then presented which is applicable to advective-diffusive processes and other processes of physical interest as mentioned in this paper.
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Reynolds Number Effects in Wall-Bounded Turbulent Flows

TL;DR: In this article, the state of the art of Reynolds number effects in wall-bounded shear-flow turbulence is reviewed, with particular emphasis on the canonical zero-pressure-gradient boundary layer and two-dimensional channel flow problems.
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High-order accurate, low numerical diffusion methods for aerodynamics

TL;DR: High-order accurate finite-difference, finite-volume, and finite-element methods as mentioned in this paper have been widely used to effectively resolve complex flow features of aerodynamics flows with meshes that are reasonable for today's computers.
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Prediction of extinction and reignition in nonpremixed turbulent flames using a flamelet/progress variable model. 2. Application in LES of Sandia flames D and E

TL;DR: In this article, an extension of the flamelet/progress variable (FPV) model for the prediction of extinction and reignition is applied in large-eddy simulation (LES) of flames D and E of the Sandia piloted turbulent jet flame series.
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Quantification of model uncertainty in RANS simulations: A review

TL;DR: The fundamentals of uncertainty propagation and Bayesian inference are introduced in the context of RANS model uncertainty quantification and the literature on uncertainties in scale-resolving simulations is briefly reviewed with particular emphasis on large eddy simulations.
References
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Journal ArticleDOI

General circulation experiments with the primitive equations

TL;DR: In this article, an extended period numerical integration of a baroclinic primitive equation model has been made for the simulation and the study of the dynamics of the atmosphere's general circulation, and the solution corresponding to external gravitational propagation is filtered by requiring the vertically integrated divergence to vanish identically.
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Turbulence statistics in fully developed channel flow at low reynolds number

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.
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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.
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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.
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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