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Turbulent Flow: Analysis, Measurement and Prediction, by Peter S. Bernard, James M. Wallace
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Provides unique coverage of the prediction and experimentation necessary for making predictions.
- Covers computational fluid dynamics and its relationship to direct numerical simulation used throughout the industry.
- Covers vortex methods developed to calculate and evaluate turbulent flows.
- Includes chapters on the state-of-the-art applications of research such as control of turbulence.
- Sales Rank: #1080464 in Books
- Color: Multicolor
- Published on: 2002-07-15
- Original language: English
- Number of items: 1
- Dimensions: 9.45" h x 1.18" w x 6.34" l, 1.86 pounds
- Binding: Hardcover
- 497 pages
Review
"It is strongly recommended by this reviewer" (Applied Mechanics Reviews, 11/1/2003)
"Of the recent books on turbulence, this is probably the best for classroom use or private study..." (Journal of Fluid Mechanics, Vol.478, 2003)
From the Back Cover
Comprehensive, unique coverage of turbulent flow including modern prediction and measurement
Turbulent Flow presents the essential physical and analytical background that enables readers to make informed decisions when choosing the best method for the study and prediction of turbulent flows. Critical focus is given to experimental and numerical methods as well as what these methods have revealed about turbulent motion.
Coverage includes an introduction to turbulence theory, the fundamental equations of turbulent flow and their meaning, the techniques used in physical experiments and computer simulations, a review of the progress made in understanding the properties of turbulence, turbulence closures and their applications, and large eddy simulation methods.
Cutting-edge material includes:
* State-of-the-art turbulence closure and simulation techniques
* Up-to-date presentations of major theoretical and experimental advances
* Vortex analysis of turbulence structure, transport, and modeling
Turbulent Flow is an essential book for students and an invaluable reference for mechanical and aerospace engineers, physicists and mathematicians in related disciplines, and engineers and scientists in such fields as chemical, biological, and ocean engineering.
About the Author
Peter S. Bernard, PhD, is Professor of Mechanical Engineering at the University of Maryland. He is a fellow of the American Physical Society and serves as Chief Technology Officer of VorCat, Inc., a start-up company developing computer software for turbulent flow prediction based on his research in gridfree vortex methods.
James M. Wallace, PhD, is Professor of Mechanical Engineering at the University of Maryland. He is a fellow of the American Physical Society and an inductee in the Academy of Distinguished Engineering Alumni of the Georgia Institute of Technology.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Excellent presentation for the topic
By Bassam
Excellent book. Excellent written. Really teaches fundamentals of Turbulence. Exactly what i was looking for. What i really like it is that it goes all over the mathematical details and derivations. However, at the end it summarizes the outcome, the physics and the "take home concepts". So if you decide to skip details you don't feel like you lost something.
It starts by the basics, common terms then takes you step by step in the details. All results and data are very well and clearly explained. It is really a pleasure to read. I recommend this to anyone who wants to know what Turbulence is all about. I have been looking for something similar for around 8 years and I finally found it.Just for the sake of sharing good things with people i will advice you to get it and you will really like it.
Usually a Turbulent flow course is offered to graduate students to help them get acquainted with the topic. I really encourage professors as well as student to use this as a text book. Very well presented.
2 of 3 people found the following review helpful.
A higly recommended text for getting a handle on turbulence
By M. Osawe
I wish this text was published several years ago when I was a graduate student. This book helps to demystify a lot of the turbulence vocabulary that you would find in the literature - streaks, bursts, coherent structures, etc. This is a must-have for any serious code developer that is interested in implementing state-of-the-art feature extraction, with its coverage of eigen-based quadrant analysis. It is unique in its coverage of analysis, measurement, and available predictive models.
Highly recommended if you are keen on getting a handle on "high-resolution" turbulence modeling, i.e., LES/DNS studies and investigations.
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