رکورد قبلیرکورد بعدی

" Large Eddy Simulation for Incompressible Flows "


Document Type : BL
Record Number : 578615
Doc. No : b407834
Main Entry : Sagaut, Pierre.
Title & Author : Large Eddy Simulation for Incompressible Flows : An Introduction /\ by Pierre Sagaut.
Edition Statement : Second Edition.
Publication Statement : Berlin, Heidelberg :: Springer Berlin Heidelberg :: Imprint: Springer,, 2002.
Series Statement : Scientific Computation,
ISBN : 9783662046951
: : 9783662046975
Contents : 1. Introduction -- 2. Formal Introduction to Scale Separation: Band-Pass Filtering -- 3. Application to Navier-Stokes Equations -- 4. Functional Modeling (Isotropic Case) -- 5. Functional Modeling: Extension to Anisotropic Cases -- 6. Structural Modeling -- 7. Numerical Solution: Interpretation and Problems -- 8. Analysis and Validation of Large-Eddy Simulation Data -- 9. Boundary Conditions -- 10. Coupling Large-Eddy Simulation with Multiresolution/Multidomain Techniques -- 11. Hybrid RANS/LES Approaches -- 12. Implementation -- 13. Examples of Applications -- A. Statistical and Spectral Analysis of Turbulence -- B. EDQNM Modeling.
Abstract : The book is the only one of its kind devoted entirely to the subject of Large Eddy Simulation. It presents a comprehensive account and a unified view of this young but very rich discipline. LES is the only efficient technique for approaching high Reynolds numbers when simulating industrial, natural or experimental configurations. The author concentrates on incompressible fluids. The topics are well chosen and both the mathematical ideas and the applicatons are presented with care. The book addresses researchers as well as graduate students and engineers. This second edition is a greatly enriched version motivated both by the increasing theoretical interest on LES and the increasing numbers of applications. Two entirely new chapters are devoted to the coupling of LES with multiresolution multidomain techniques and to the new hybrid approaches that relate the LES procedures to the classical statistical methods based on the Reynolds Averaged Navier Stokes equations.
Subject : Physics.
Subject : Computer science-- Mathematics.
Subject : Mathematical physics.
Subject : Engineering.
Added Entry : SpringerLink (Online service)
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