Statistical Theory and Modeling for Turbulent Flows Review

Average Reviews:

(More customer reviews)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.

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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.