Computational Methods for Fluid Dynamics

by Joel H. Ferziger, Milovan Peric

Publisher: Springer Verlag
ISBN: 3540420746

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Book Description

The book offers an overview of the techniques used to solve problems in fluid mechanics on computers and describes in detail those most often used in practice. Included are advanced techniques in computational fluid dynamics, like direct and large-eddy simulation of turbulence, multigrid methods, parallel computing, moving grids, structured, block-structured and unstructured boundary-fitted grids, free surface flows. The book shows common roots and basic principles for many apparently different methods. The book also contains a great deal of practical advice for code developers and users, it is designed to be equally useful to beginners and experts. All computer codes can be accessed from the publisher's server ftp.springer.de on the internet.

Physics Today, on the first edition

"...Joel Ferziger and Milovan Peric have provided an excellent reference and self-study text for practicing physicists and engineers involved in the analysis of fluid flows. It is also suitable as a graduate-level text in CFD."

Ingram

This book provides an overview of the advanced techniques used to solve problems in fluid mechanics on computers and describes in detail those most often used in practice. The book shows common roots and basic principles for many apparently different methods. Furthermore, the issues of numerical accuracy, estimation, and reduction of numerical errors are dealt with in detail, with many examples. 95 illus.

Book Info

Offers an overview of the techniques used to solve problems in fluid mechanics on computers and describes in detail those most often used in practice. Presents common roots and basic principles for many different methods. Softcover.

Customer Reviews

I found this book an excellent support in teaching and invaluable as an occasional reference in my practical work in industry. It is particularly gratifying to see that free surface flows are covered well. Best book I have seen so far in the field.

This is the best book on CFD I' ve read. It is more useful to those who want to develop their own codes rather than CFD users: It mostly describes in deep detail (although in a concise manner) a single method used by the authors and developed by themselves and their colleagues. It is not intended to be a list of the vast number of CFD techniques developed so far.

Their method is state-of-the-art and they provide plenty of results to support it's quality. It is mostly directed towards incompressible flows. They provide a chapter that extends their method to compressible flows but they do not describe any special convection schemes for flows with shock waves. It can be applied to both structured and arbitrarily unstructured grids, although their approach to the discretization of the convection and diffusion terms is particularly useful in the case of arbitrarily unstrucured grids. State of the art subjects such as multigrid and error-driven grid refinement are also covered and integrated into their method.

I agree with a previous reviewer that they provide a very good coverage of solution methods for linear equation systems which arise in CFD. Most other books on CFD (all the ones that I have read) have a poor coverage of the subject and describe only old and inneficient methods. However even this book does not sufficiently describe conjugate-gradient type methods or Krylov subspace methods in general, but references are provided.

In conclusion, this book is not for beginners but for code developers who have some basic knowlwdge of CFD and a relatively good mathematical background.

I agree with the reviewer that said this book is complimentary to an intro text such as Patankar. This is not a cook book for a first time coder. But it is a really great reference for the Finite Volume dilettante.

I really appreciate that all numerical results presented are thoroughly documented. That counts.

Really, really nice chapter on iterative solvers....

Good overall description on many other topics such as multi-grid methods, turbulence, grid geometry and PV coupling.

This book really helped me speed up my homegrown quite a bit.

They also have all kinds of stuff available by ftp....

This is a very good book for learning the details of implementing the Finite Volume method in Computational Fluid Dynamics. I view it as very complimentary to S. V. Patankar's book, which is more general in nature. Both books are geared toward people who want to write computer programs to solve fluid transport problems (heat transfer, Navier-Stokes, etc.) Both tend to focus on numerical issues (as opposed to the physics of transport phenomena). But while Pantankar's book provides a very easy, approachable introduction that is thin on the details, Ferziger & Peric have written a book rich in details. For instance, they devote an entire chapter to solving linear systems of equations. They compare all of the commonly used methods and contrast their rates of convergence for various test cases. This level of detail is great if you already understand the big picture. I think it may be somewhat difficult for someone new to CFD to really understand the finite volume method from this book alone. I would recommend Patankar's book for a good intro and this book for the implementation details.

I recommend this book for the casual scientist who is interested in CFD. It covers the major issues, including finite volume discretizations, unsteady flows, inviscid and viscous flows, methods for solving systems of linear and nonlinear equations, moving grids, etc. But I do not recommend this book if you intend to use it as a reference for implementing a CFD code. It does not provide background on the mathematical nature of the governing equations. Also, it does not provide sufficient description of boundary conditions (subsonic/supersonic inflow/outflow, etc.) as they relate to the propagation of information. It also does not cover in sufficient detail the concepts of upwinding. Without this missing information, an implementation could *easily* produce invalid results. As a casual reference, though, it often presents gold nuggets of information that briefly answer the question you were asking. Look to Hirsch for a more comprehensive implementation reference.