Statistical Theory And Modeling For Turbulent Flows

(Paperback - Mar 2001)
by

Paul D. Durbin

 (Author)
,

P. A. Durbin

 (Author)
,

B. A. Pettersson Reif

 (Author)
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Publisher: John Wiley & Sons



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Book: 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 forparticular 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 chapter

Most natural and industrial flows are turbulent. The atmosphere and oceans, automobile and aircraft engines, all provide examples of this ubiquitous phenomenon. In recent years, turbulence has become a very lively area of scientific research and application, and this work offers a grounding in the subject of turbulence, developing both the physical insight and the mathematical framework needed to express the theory. Providing a solid foundation in the key topics in turbulence, this valuable reference resource enables the reader to become a knowledgeable developer of predictive tools.
This central and broad ranging topic would be of interest to graduate students in a broad range of subjects, including aeronautical and mechanical engineering, applied mathematics and the physical sciences. The accompanying solutions manual to the text also makes this a valuable teaching tool for lecturers and for practising engineers and scientists in computational and experimental and experimental fluid dynamics.
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Details of Book: Statistical Theory And Modeling For Turbulent Flows Book: Statistical Theory And Modeling For Turbulent Flows
Author: Paul D. Durbin, P. A. Durbin, B. A. Pettersson Reif
ISBN:

0471497444


ISBN-13:

9780471497448

,

978-0471497448


Binding: Paperback
Publishing Date: Mar 2001
Publisher: John Wiley & Sons
Number of Pages: 302
Language: English
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    Book: Statistical Theory And Modeling For Turbulent Flows by Paul D. Durbin, P. A. Durbin, B. A. Pettersson Reif
    ISBN Number: 0471497444, 9780471497448, 978-0471497448