Statistical Theory and Modeling for Turbulent Flows [Paperback]

P. A. Durbin (Author), B. A. Pettersson Reif (Author)

Book Description

ISBN-10: 0471497444 | ISBN-13: 978-0471497448 | Publication Date: February 13, 2001 | Edition: 1

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.

Editorial Reviews

Review

"this is a timely and well-written book" (AIAA Journal, September 2001)

"excellent introduction" (Fluid Mechanics, Vol.447, 2001)

"an excellent introduction" (Flow Measurement Instrumentation)

"well pitched for a bright young and academically disposed readership" (The Aeronautical Journal, November 2001)

“…this valuable reference resource enables the reader to become a knowledgeable developer of predictive tools.” (Zentralblatt Math Vol. 1030 No.5 2004) 

 

From the Back Cover

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 chapter

Product Details

• Paperback: 302 pages
• Publisher: Wiley; 1 edition (February 13, 2001)
• Language: English
• ISBN-10: 0471497444
• ISBN-13: 978-0471497448
• Product Dimensions: 9.4 x 6.6 x 1 inches
• Shipping Weight: 1.3 pounds
• Average Customer Review: 2.3 out of 5 stars  See all reviews (3 customer reviews)
• Amazon Best Sellers Rank: #1,746,275 in Books (See Top 100 in Books)

More About the Author

Discover books, learn about writers, read author blogs, and more.

Customer Reviews

Most Helpful Customer Reviews

3 of 3 people found the following review helpful:

3.0 out of 5 stars Student's perspective, September 5, 2007

By 

E. Jones - See all my reviews
(REAL NAME)   

Amazon Verified Purchase

This review is from: Statistical Theory and Modeling for Turbulent Flows (Paperback)

I bought this book as required reading for a class. It's pretty clear and easy to understand, although I have the advantage that my professor is one of the authors. Concepts are explained well, with examples.

The major problem with this book is that for some reason, all the horizontal lines are missing from the equations. So there are no fraction bars, and it's really hard to tell where an average is meant, as opposed to a random variable. I wouldn't recommend this book to someone without a background in basic statistics, because the math would be nearly impossible to follow.

1 of 1 people found the following review helpful:

1.0 out of 5 stars printing errors abound, September 17, 2011

By 

C. F. Deer - See all my reviews

Amazon Verified Purchase

This review is from: Statistical Theory and Modeling for Turbulent Flows (Paperback)

What a pity that such a high quality book could be ruined by terrible printing errors! I bought the reprinted April 2003 paperback edition. Nearly all equations are very difficult to read because of missing horizontal lines EVERYWHERE. Shame on the publisher (John Wiley & Sons). Did they fix this in later editions? I thought $30 was a good deal, but not so. Beware!

2 of 4 people found the following review helpful:

3.0 out of 5 stars many print errors, September 24, 2007

By 

Zhouying "Zhou Ying" (Ames, IA USA) - See all my reviews
(REAL NAME)   

This review is from: Statistical Theory and Modeling for Turbulent Flows (Paperback)

There are a lot of print errors in this book. Nearly all the equations are not right. I asked some other persons who also bought this book. This problem is very common. May you find a solution about this problem?
3x.