Large Eddy Simulation for Incompressible Flows: An Introduction
β Scribed by Dr. Pierre Sagaut (auth.)
- Publisher
- Springer Berlin Heidelberg
- Year
- 2001
- Tongue
- English
- Leaves
- 325
- Series
- Scientific Computation
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Front Matter....Pages I-XV
Introduction....Pages 1-8
Formal Introduction to Scale Separation: Band-Pass Filtering....Pages 9-30
Application to NavierβStokes Equations....Pages 31-61
Functional Modeling (Isotropic Case)....Pages 63-139
Functional Modeling: Extension to Anisotropic Cases....Pages 141-159
Structural Modeling....Pages 161-203
Numerical Solution: Interpretation and Problems....Pages 205-220
Analysis and Validation of Large-Eddy Simulation Data....Pages 221-230
Boundary Conditions....Pages 231-245
Implementation....Pages 247-255
Examples of Applications....Pages 257-279
Back Matter....Pages 281-319
β¦ Subjects
Mathematical Methods in Physics;Numerical and Computational Physics;Fluid- and Aerodynamics;Computational Mathematics and Numerical Analysis;Computational Intelligence;Astronomy, Observations and Techniques
π SIMILAR VOLUMES
<p><P>The first and most exhaustive work of its kind devoted entirely to the subject, Large Eddy Simulation 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
First concise textbook on Large-Eddy Simulation, a very important method in scientific computing and engineering From the foreword to the third edition written by Charles Meneveau: "... this meticulously assembled and significantly enlarged description of the many aspects of LES will be a most welc
The only one of its kind devoted entirely to the subject, Large Eddy Simulation 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 co