Essential Computational Fluid Dynamics Review

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(More customer reviews)By observing history of CFD textbooks, one notices that it almost becomes a trend CFD books getting thicker and thicker. Many authors want their books as detailed and broader as possible. The intention is obviously good. But for many CFD beginners, the information from those comprehensive text books is just overwhelming. Some students even got discouragement by complex expression or nomenclature such as tensor quantities or certain mathematical spaces, etc. Therefore there is a need to have a book easy to read and understand from basic CFD concept to detailed numerical procedures representing up-to-date subject advancement, in the meantime to cover most important theories and applications. Dr. Zikanov's book finds itself in this niche position. From teaching experience in or out of classroom, I observed most students like this book and benefit lots out of that.
So I strongly recommend this textbook for those trying to understand and implement CFD in a relatively short period of time. That includes fluids majored undergraduate student in their senior level and 1st/2nd year graduate students, or non-fluids majored graduate students.


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This book serves as a complete and self-contained introduction to the principles of Computational Fluid Dynamic (CFD) analysis.It is deliberately short (at approximately 300 pages) and can be used as a text for the first part of the course of applied CFD followed by a software tutorial.The main objectives of this non-traditional format are: 1) To introduce and explain, using simple examples where possible, the principles and methods of CFD analysis and to demystify the `black box' of a CFD software tool, and 2) To provide a basic understanding of how CFD problems are set and which factors affect the success and failure of the analysis.Included in the text are the mathematical and physical foundations of CFD, formulation of CFD problems, basic principles of numerical approximation (grids, consistency, convergence, stability, and order of approximation, etc), methods of discretization with focus on finite difference and finite volume techniques, methods of solution of transient and steady state problems, commonly used numerical methods for heat transfer and fluid flows, plus a brief introduction into turbulence modeling. A solutions manual will be provided for instructor's use.

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

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(More customer reviews)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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Lattice Boltzmann Modeling: An Introduction for Geoscientists and Engineers Review

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(More customer reviews)I most value this book for its brief and lucid introductions to the physics (e.g. multiphase flows) that can be incorporated into lattice Boltzmann methods.
As far as the lattice Boltzmann method is concerned, I soon found myself relying on papers in literature rather than this book (although it has to be said that this book thoroughly references publications in literature).
My main criticisms arise from following points:
* as a quick start guide, this book falls short in not discussing issues like initialisation and the general streaming-collision framework. I found the latter particularly confusing, since their code snippets suggest that they solve a slightly different equation than the one analytically described in the book. Moreover, the extension from 2D to 3D (which is left to the reader) is not as trivial as the book suggests (e.g. for the boundary conditions).
* the book gives an introduction to phenomenological models for e.g. multiphase flows. If you are an engineer or geoscientist, you might want to use models that are quantitatively more correct.
* The book doesn't go beyond lattice-Boltzmann toy models. If you want to do something "real" with lattice-Boltzmann, you will need to address more advanced issues (like how to deal with curved boundaries, or with higher-order lattices). While one cannot expect from the scope of this book to address those issues directly, it is a pity that the book doesn't prepare in any way for those issues. So probably, you'll have to throw away your code and start all over again if you ever want to model something more.
* Due to ongoing research, this book starts to become outdated. In part because the book introduces lattice-Boltzmann models from lattice-gas cellular automata (as they evolved historically), instead of being directly based on the Boltzmann transport equation (as is more common nowadays).
Overall, I quickly abandoned this book while writing my lattice-Boltzmann code. Nevertheless, you can probably have a lot of fun with the models proposed in the book, as long as you don't want to do anything too useful with it.


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Here is a basic introduction to Lattice Boltzmann models that emphasizes intuition and simplistic conceptualization of processes, while avoiding the complex mathematics that underlies LB models. The model is viewed from a particle perspective where collisions, streaming, and particle-particle/particle-surface interactions constitute the entire conceptual framework. Beginners and those whose interest is in model application over detailed mathematics will find this a powerful 'quick start' guide. Example simulations, exercises, and computer codes are included.

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