Fluid Dynamics with a Computational Perspective

  • ID: 2128825
  • Book
  • 362 Pages
  • Cambridge University Press
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Modern fluid dynamics is a combination of traditional methods of theory and analysis and newer methods of computation and numerical simulation. Fluid Dynamics with a Computational Perspective synthesizes traditional theory and modern computation. It is neither a book on methods of computation, nor a book on analysis; it is about fluid dynamics. The book is ideal for a course on fluid dynamics. Early chapters review the laws of fluid mechanics and survey computational methodology, following chapters study flows in which the Reynolds number increases from creeping flow to turbulence, followed by a thorough discussion of compressible flow and interfaces. Whereas all significant equations and their solutions are presented, their derivations are informal. References for detailed derivations are provided. A chapter on intermediate Reynolds number flows provides illustrative case studies by pure computation. Elsewhere, computations and theory are interwoven.
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1. Introduction to viscous flow;
2. Elements of computational analysis;
3. Creeping flow;
4. Intermediate Reynolds numbers;
5. High Reynolds number and boundary layer;
6. Turbulent flow;
7. Compressible flow;
8. Interfaces.
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Paul A. Durbin Stanford University, California.

Paul Durbin is the Martin C. Jischke professor of Aerospace Engineering at Iowa State University. He was previously a professor in Mechanical Engineering at Stanford University. His research interests are in turbulence and transition, including computation, theory and analytical modeling. He is a member of AIAA, ASME, and a Fellow of APS. He is an associate editor of the ASME Journal of Fluids Engineering. He has extensive experience in teaching fluid dynamics and has written Statistical Theory and Modeling for Turbulent Flow (with John Wiley) and numerous articles.
Gorazd Medic Stanford University, California.

Gorazd Medic is a Research Associate at the Center for Integrated Turbulence Simulations of the Mechanical Engineering  Department at Stanford University. His research interests are in turbulence, numerical methods, and high performance computing. He is a member of AIAA, ASME, APS, and SIAM. He has extensive experience in computational fluid dynamics for a variety of applications ranging from aircraft engines to biomechanical systems.
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