By M. Lesieur (auth.), Olivier Métais, Joel H. Ferziger (eds.)
Numerical large-eddy simulation options are booming at this time and may have a decisive impression on business modeling and stream regulate. The e-book represents the overall framework in actual and spectral area. It additionally supplies the new subgrid-scale types. subject matters handled contain compressible turbulence learn, turbulent combustion, acoustic predictions, vortex dynamics in non-trivial geometries, flows in nuclear reactors and difficulties in atmospheric and geophysical sciences. The ebook addresses numerical analysts, physicists, and engineers.
Read or Download New Tools in Turbulence Modelling: Les Houches School, May 21–31, 1996 PDF
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Extra resources for New Tools in Turbulence Modelling: Les Houches School, May 21–31, 1996
Sample text
Fluids A 5 (1993) 1484. [33] Antonia R. , J. Fluid Mech. 236 (1992) 579. , Stanford University, Rep. MD-39 (1980). , Stanford University, Rep. TF-58 (1994). , J. Fluid Mech. 256 (1993) 1. LECTURE 2 Large Eddy Simulation: An Introduction and Perspective J. H. Ferziger Department of Mechanical Engineering Stanford University Stanford CA 1. INTRODUCTION A decade ago, it was possible to write comprehensive reviews of what had been accomplished using direct and large eddy simulation of turbulence [1, 2].
Afterwards, a different point of view has been considered, where the filtering is a sharp low-pass filter in Fourier space. Kraichnan's spectral eddy viscosity has been presented, and has been generalized to a spectral eddy diffusivity. It has been demonstrated, using the nonlocal interaction theory applied to a stochastic model of isotropic turbulence, how a k4 backscatter arises in three dimensions, with a k3 equivalent in two dimensions. The existence of such a spectral backscatter in large-eddy simulations has been confirmed.
7. NUMERICAL METHODS A wide variety of numerical methods have been employed in LES. , [39]), we shall not describe them in detail here. Instead, a few items peculiar to LES will be discussed. The most important requirements arise from the need for accurate treatment of flows that contain a wide range of length scales. Time accuracy requires a small time step. The time-advance method must be stable for the chosen time step, a condition that can be met by explicit methods so most simulations use them.
