Large eddy simulation of aerosound using homogeneous turbulence as example

1992 ◽  
Vol 92 (4) ◽  
pp. 2474-2474
Author(s):  
Seungbae Lee ◽  
William C. Meecham
Keyword(s):  
Large Eddy Simulation ◽  
Homogeneous Turbulence ◽  
Eddy Simulation ◽  
Large Eddy

Large eddy simulation of aircraft wake vortices within homogeneous turbulence - Crow instability

AIAA Journal ◽  
2000 ◽  
Vol 38 ◽  
pp. 292-300 ◽  
Author(s):  
Jongil Han ◽  
Yuh-Lang Lin ◽  
David G. Schowalter ◽  
S. P. Arya ◽  
Fred H. Proctor
Keyword(s):  
Large Eddy Simulation ◽  
Homogeneous Turbulence ◽  
Wake Vortices ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Aircraft Wake ◽  
Crow Instability

Within Homogeneous Turbulence: Crow Instability Large Eddy Simulation of Aircraft Wake Vortices

AIAA Journal ◽  
10.2514/2.956 ◽  
2000 ◽  
Vol 38 (2) ◽  
pp. 292-300 ◽  
Author(s):  
Jongil Han ◽  
Yuh-Lang Lin ◽  
David G. Schowalter ◽  
S. Pal Arya ◽  
Fred H. Proctor
Keyword(s):  
Large Eddy Simulation ◽  
Homogeneous Turbulence ◽  
Wake Vortices ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Aircraft Wake ◽  
Crow Instability

scholarly journals Large-eddy simulation of homogeneous turbulence and diffusion in stably stratified shear flow

1994 ◽  
Vol 280 ◽  
pp. 1-40 ◽  
Author(s):  
H.-J. Kaltenbach ◽  
T. Gerz ◽  
U. Schumann
Keyword(s):  
Shear Flow ◽  
Large Eddy Simulation ◽  
Froude Number ◽  
Practical Importance ◽  
Homogeneous Turbulence ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Stratified Shear Flow ◽  
The Cross ◽  
Stably Stratified Shear Flow

By means of large-eddy simulation, homogeneous turbulence is simulated for neutrally and stably stratified shear flow at gradient-Richardson numbers between zero and one. We investigate the turbulent transport of three passive species which have uniform gradients in either the vertical, downstream or cross-stream direction. The results are compared with previous measurements in the laboratory and in the stable atmospheric boundary layer, as well as with results from direct numerical simulations. The computed and measured flow properties agree with each other generally within the scatter of the measurements. At strong stratification, the Froude number becomes the relevant flow-controlling parameter. Stable stratification suppresses vertical overturning and mixing when the inverse Froude number based on a turn-over timescale exceeds a critical value of about 3. The turbulent diffusivity tensor is strongly anisotropic and asymmetric. However, only the vertical and the cross-stream diagonal components are of practical importance in shear flows. The vertical diffusion coefficient is much smaller than the cross-stream one at strong stratification. This anisotropy is stronger than predicted by second-order closure models. Turbulence fluxes in downstream and cross-stream directions follow classical mixing-length models.

Stochastic coherent adaptive large eddy simulation of forced isotropic turbulence

2010 ◽  
Vol 646 ◽  
pp. 453-470 ◽  
Author(s):  
G. DE STEFANO ◽  
O. V. VASILYEV
Keyword(s):  
Numerical Simulation ◽  
Kinetic Energy ◽  
Large Eddy Simulation ◽  
Homogeneous Turbulence ◽  
Subgrid Scale ◽  
Mean Flow ◽  
Adaptive Wavelet ◽  
Eddy Simulation ◽  
Moderate Reynolds Number ◽  
Large Eddy

The stochastic coherent adaptive large eddy simulation (SCALES) methodology is a novel approach to the numerical simulation of turbulence, where a dynamic grid adaptation strategy based on wavelet threshold filtering is utilized to solve for the most ‘energetic’ eddies. The effect of the less energetic unresolved motions is simulated by a model. Previous studies have demonstrated excellent predictive properties of the SCALES approach for decaying homogeneous turbulence. In this paper the applicability of the method is further explored for statistically steady turbulent flows by considering linearly forced homogeneous turbulence at moderate Reynolds number. A local dynamic subgrid-scale eddy viscosity model based on the definition of the kinetic energy associated with the unresolved motions is used as closure model. The governing equations for the wavelet filtered velocity field, along with the additional evolution equation for the subgrid-scale kinetic energy, are numerically solved by means of a dynamically adaptive wavelet collocation method. It is demonstrated that adaptive simulations closely match results from a reference pseudo-spectral fully de-aliased direct numerical simulation, by using only about 1% of the corresponding computational nodes. In contrast to classical non-adaptive large eddy simulation, the agreement with direct solution holds for the mean flow statistics as well as in terms of energy and enstrophy spectra up to the dissipative wavenumbers range.

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