Fluid Dynamics with a Computational Perspective

In recent decades, numerical algorithms and computer power have advanced to the point where computer simulations of the equations fluid flow have become routine. How does that affect the way we teach fluid dynamics? This book seizes on that question. One of its objectives is to integrate computer solutions into fluid dynamics education; another is to review important concepts of fluid dynamics that a computationalist needs in order to understand computed flows. This book provides a development of fluid flow theory in concert with a perspective on how computations are formulated and effected.

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 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.