Journal ArticleDOI
A dynamic subgrid‐scale eddy viscosity model
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.read more
Citations
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Journal ArticleDOI
Sub-grid modelling for two-dimensional turbulence using neural networks
TL;DR: In this article, a data-driven turbulence closure framework is introduced and deployed for the sub-grid modelling of Kraichnan turbulence, where snapshots from high-fidelity numerical data are used to inform artificial neural networks for predicting the turbulence source term through localized grid-resolved information.
Journal ArticleDOI
Large-eddy simulation of conductive flows at low magnetic Reynolds number
Bernard Knaepen,Parviz Moin +1 more
TL;DR: Using the method of large-eddy simulation, the authors studied decaying homogeneous turbulence of a conductive flow under the influence of an applied external magnetic field at low magnetic Reynolds number.
Journal ArticleDOI
Anisotropy of magnetohydrodynamic turbulence at low magnetic Reynolds number
TL;DR: In this paper, the authors investigated the effect of low magnetic Reynolds number on the anisotropy of magnetohydrodynamic flows in the presence of a sufficiently strong magnetic field.
Journal ArticleDOI
Large-eddy simulation of plant canopy flows using plant-scale representation
TL;DR: In this paper, a new numerical representation of plant canopies is presented that resolves approximately the local structure of plants and takes into account their spatial arrangement, using large-eddy simulation (LES) with a Lagrangian dynamic Smagorinsky model.
Journal ArticleDOI
Variational multiscale large-eddy simulations of the flow past a circular cylinder: Reynolds number effects
TL;DR: In this article, a variational multiscale large-eddy simulations (VMS-LES) of the flow around a circular cylinder are carried out at different Reynolds numbers in the subcritical regime, viz. Re-=−3900, 10,000 and 20,000, based on the cylinder diameter.
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Renormalization group analysis of turbulence I. Basic theory
Victor Yakhot,Steven A. Orszag +1 more
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