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Statistical Theory and Modeling for Turbulent Flows

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Statistical Theory and Modeling for Turbulent Flows



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Statistical Theory and Modeling for Turbulent Flows by P. A. Durbin
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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.

Table of Contents

Preface. Motivation. Epitome. Acknowledgments. FUNDAMENTALS OF TURBULENCE. Introduction. Mathematical and Statistical Background. Reynolds Averaged Navier--Stokes Equations. Parallel and Self--Similar Shear Flows. Vorticity and Vortical Structures. SINGLE POINT CLOSURE MODELING. Models with Scalar Variables. Models with Tensor Variables. Advanced Topics. THEORY OF HOMOGENEOUS TURBULENCE. Mathematical Representations. Navier--Stokes Equations in Spectral Space. Rapid Distortion Theory. References. Index.
Release date NZ
January 23rd, 2001
Country of Publication
United Kingdom
John Wiley & Sons Ltd
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