Statistical Theory and Modeling for Turbulent Flows

Modern advances in computer speed offer the potential for elaborate numerical analysis of turbulent fluid flow. Closure models for turbulence transport equations are finding a growing number of applications and are being used in increasingly complex flows. Furthermore, computerized fluid flow analysis has become an integral part of the design cycle in more and more industries. As the use of turbulence models for CFD increases, more sophisticated models will be needed to simulate the range of phenomena that arise. The increasing complexity of closure models will then require a solid background in single point closure modelling for those working in the field, not only for an understanding of their origin, but also in determining whether a particular model is suited to predict given flow phenomena. A text such as this, which describes the theory and practice of turbulence modeling, therefore provides a timely contribution. It translates the authors' familiarity with the literature, their years of research on modeling, and their expereince in applying models to computational fluid dynamics analysis into a comprehensive work, which includes: * An introduction to mathematical and physical concepts * Single point analysis and modeling within the framework of incompressible fluid flow * Spectral theory of homogeneous turbulence and rapid distortion theory * Uses of experimental and numerical simulation data to illustrate concepts * Examples of Reynolds averaged computations to explain how models are tested * Laboratory and numerical visualizations, along with schematics, that illustrate eddy structure in turbulent flows * An exposition of the motivations for particular classes of models * Isolation of the substance of the closure modeling from the pragmatic devices that are often used to 'tune' models * A number of exercises at the end of each chapterDurbin, P. A. is the author of 'Statistical Theory and Modeling for Turbulent Flows', published 2001 under ISBN 9780471497448 and ISBN 0471497444.