Statistical Theory and Modeling for Turbulent Flows (eBook)

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.

* Provides an excellent foundation to the fundamental
theoretical concepts in turbulence.

* Features new and heavily revised material, including an
entire new section on eddy resolving simulation.

* Includes new material on modeling laminar to turbulent
transition.

* Written for students and practitioners in aeronautical and
mechanical engineering, applied mathematics and the physical
sciences.

* Accompanied by a website housing solutions to the problems
within the book.