Statistical Mechanics of Turbulent Flows

Inhaltsverzeichnis

1. Introduction.- 2. Stochastic variables.- 3. Stochastic processes.- 4. The equations of fluid and thermodynamics.- 5. Stochastic models for large-scale turbulence.- 6. Stochastic models for small-scale turbulence.- 7. The unification of turbulence models.- 8. References.- 9. Author index.- 10. Subject index.

Pressestimmen

From the reviews:

"This book is a descriptive monograph with a focus on stochastic probability density function (pdf) procedures and their implementation for turbulent flow. ... The book includes a usefully extensive reference list, author and subject index. ... The book ... does provide a valuable survey of stochastic turbulent flow procedures supplementary to and in comparison with more conventional closure procedures. Considering the book's relatively modest price it would be a useful addition for personal as well as institutional acquisition." (AC Buckingham, Applied Mechanics Reviews, Vol. 57 (5), 2004)

"This is a nicely written textbook, aiming to present the methods of stochastic modelling of turbulent fluid flow. ... The author nicely and convincingly expands on the advantages of stochastic modelling ... . It deserves attention by the specialists and the beginners as well and has useful applications. It is clearly presented, with careful argumentation and interesting scientific contents. The book's use is nicely supported by an extended list of all symbols and abbreviations and, of course, with references. The reviewer can well recommend it." (Dr. S.Grossmann, European Journal of Mechanics B/Fluids, Issue 23, 2004)

"This is a handbook for a computational approach to reacting flows ... . This book offers a timely survey of techniques in modern computational fluid mechanics for turbulent flows with reacting scalars. It should be of interest to engineers, while the discussion of ... pdfs, stochastic and statistical equations should also be attractive to applied mathematicians and physicists. ... it is written clearly and concisely and should be useful to a large community, interested either in the underlying stochastic formalism or in CFD applications." (C Cambon, Journal of Physics A: Mathematical and General, Vol. 37 (40), 2004)