12/08/2011

Numerical Simulation in Fluid Dynamics: A Practical Introduction (Monographs on Mathematical Modeling and Computation) Review

Numerical Simulation in Fluid Dynamics: A Practical Introduction (Monographs on Mathematical Modeling and Computation)
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I found this book to be a a very good reference for the development of my first simple finite difference code for the solutions of the incompressible Navier-Stokes equations.
It is not extremely detailed in terms of all the methods exsisting in computational fluid dynamics, but it gives you those information that for a beginner might be hard to find. Good practical examples and a detail explanation on the development of a N-S solver also for FREE SURFACE problems.
Practical things as writing a makefile or how to set your code environment are explained aside of the mathematical analysis of the numerical methods involved.
I highly reccommend this book to those who study the subject but never put into practice that knowledge.
The practical examples are written in C.

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In this translation of the German edition, the authors provide insight into the numerical simulation of fluid flow. Using a simple numerical method as an expository example, the individual steps of scientific computing are presented: the derivation of the mathematical model; the discretization of the model equations; the development of algorithms; parallelization; and visualization of the computed data. In addition to the treatment of the basic equations for modeling laminar, transient flow of viscous, incompressible fluids - the Navier-Stokes equations - the authors look at the simulation of free surface flows; energy and chemical transport; and turbulence. Readers are enabled to write their own flow simulation program from scratch. The variety of applications is shown in several simulation results, including 92 black-and-white and 18 color illustrations. After reading this book, readers should be able to understand more enhanced algorithms of computational fluid dynamics and apply their new knowledge to other scientific fields.

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