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Journal ArticleDOI

A proposed modification of the Germano subgrid‐scale closure method

D. K. Lilly
- 01 Mar 1992 - 
- Vol. 4, Iss: 3, pp 633-635
TLDR
In this paper, the subgrid-scale closure method developed by Germano et al. is modified by use of a least squares technique to minimize the difference between the closure assumption and the resolved stresses.
Abstract
The subgrid‐scale closure method developed by Germano et al. is modified by use of a least squares technique to minimize the difference between the closure assumption and the resolved stresses. This modification removes a source of singularity and is believed to improve the method’s applicability.

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Citations
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Journal ArticleDOI

Turbulent flow and heat transfer from a slot jet impinging on a moving plate

TL;DR: In this article, the flow field due to an impinging jet over a moving surface at a moderately high Reynolds number, emanating from a rectangular slot nozzle has been computed using the large eddy simulation technique.
Journal ArticleDOI

Stably stratified turbulent channel flows. I. Stratification regimes and turbulence suppression mechanism

TL;DR: In this article, the authors used large eddy simulation to study inhomogeneous stratified wall-bounded shear flows, which can be separated into three regimes: buoyancy affected, buoyancy controlled, and buoyancy dominated flows.
Journal ArticleDOI

DPM: A deep learning PDE augmentation method with application to large-eddy simulation

TL;DR: In this article, a framework is introduced that leverages known physics to reduce overfitting in machine learning for scientific applications, where the partial differential equation (PDE) that expresses the physics is augmented with a neural network that uses available data to learn a description of the corresponding unknown or unrepresented physics.
Journal ArticleDOI

Large eddy simulations in 2030 and beyond

TL;DR: This paper will try to predict what algorithmic and modelling advancements are needed to make LES even more robust and inexpensive, and which areas show the most promise.
Journal ArticleDOI

An efficient semi-implicit compressible solver for large-eddy simulations

TL;DR: A pressure-based semi-implicit algorithm for compressible flows is described, which is second-order in space and time for linear acoustics and for low-Mach advection without iterating the time-step.
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

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

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

A dynamic subgrid‐scale model for compressible turbulence and scalar transport

TL;DR: Germano et al. as discussed by the authors generalized the dynamic subgrid-scale (SGS) model for the large eddy simulation (LES) of compressible flows and transport of a scalar.

On the application of the eddy viscosity concept in the Inertial sub-range of turbulence

K. Lilly
TL;DR: In this paper, it was shown that an eddy diffusion hypothesis for use in numerical solutions of turbulent flow problems is consistent with the existence of an inertial subrange at the smallest resolvable scale of the numerical model.