Turbulent Flow: Analysis, Measurement, And Prediction

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.

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.

Preface.

Acknowledgments.

1. Preliminaries.

2. Overview of Turbulent Flow Physics and Equations.

3. Experimental and Numerical Methods.

4. Properties of Bounded Turbulent Flows.

5. Properties of Turbulent Free Shear Flows.

6. Turbulent Transport.

7. Theory of Idealized Turbulent Flows.

8. Turbulence Modeling.

9. Applications of Turbulence Modeling.

10. Large Eddy Simulations.

11. Analysis of Turbulent Scalar Fields.

12. Turbulence Theory.

Author Index.

Subject Index.