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Large-Eddy Simulations of Turbulence is an ideal introduction and reference to LES, direct numerical simulation and Reynolds-averaged Navier-Stokes simulation. The text features a detailed discussion of vorticity, pressure, and the velocity gradient tensor, and an in-depth discussion of spectral subgrid-scale modeling. These spectral models give insight into the requirements and limitations in subgrid-scale modeling and backscattering. The text also features a discussion of large-eddy simulation of compressible flows previously only available scattered throughout the literature and of interest…mehr

Produktbeschreibung
Large-Eddy Simulations of Turbulence is an ideal introduction and reference to LES, direct numerical simulation and Reynolds-averaged Navier-Stokes simulation. The text features a detailed discussion of vorticity, pressure, and the velocity gradient tensor, and an in-depth discussion of spectral subgrid-scale modeling. These spectral models give insight into the requirements and limitations in subgrid-scale modeling and backscattering. The text also features a discussion of large-eddy simulation of compressible flows previously only available scattered throughout the literature and of interest to those dealing with supersonic flows, combustion, astrophysics, and related topics.
Autorenporträt
Marcel Lesieur, Olivier Métais, and Pierre Comte, form the nucleus of the Grenoble Equipe Modèlisation et Simulation de la Turbulence (the Grenoble team for modeling and simulating turbulence) and made significant contributions to the development of subgrid modeling of turbulent flows required for large-eddy simulation, and in the implementation of large eddy simulation methodology for research and applications. These authors were responsible for early research on spectral subgrid-scale closure, and the use of the closure approach in developing the physical space structure function model. More recently the authors have made significant contributions to the development of modeling for compressible turbulent flows.