Statistical Theory and Modeling for Turbulent Flows

by Paul A. Durbin, Pettersson Reif B

Providing a comprehensive grounding in the subject of turbulence, "Statistical Theory and Modeling for Turbulent Flows" develops both the physical insight and the mathematical framework needed to understand turbulent flow. Its scope enables the reader to become a knowledgeable user of turbulence models; it develops analytical tools for developers of predictive tools. Thoroughly revised and updated, this second edition includes a new fourth section covering DNS (direct numerical simulation), LES (large eddy simulation), DES (detached eddy simulation) and numerical aspects of eddy resolving simulation.In addition to its role as a guide for students, "Statistical Theory and Modeling for Turbulent Flows" also is a valuable reference for practicing engineers and scientists in computational and experimental fluid dynamics, who would like to broaden their understanding of fundamental issues in turbulence and how they relate to turbulence model implementation.

374 pages, Kindle Edition

First published December 10, 2007