Tuesday, October 18, 2011

Computational Fluid Dynamics by T. J. Chung

Computational Fluid Dynamics by T. J. Chung

"The book not only serves as a valuable reference for the practitioner, but also a self sufficient resource for the beginner...The book is well structured and proceeds from one level to the next without ambiguity...Chung is to be commended for his elucidating and thorough approach to all aspects of computional fluid dynamics."

"The treatment is thorough, and a number of detailed example applications are provided...This book is well written and well indexed. Readers should have no trouble finding the topic of interest and following the clearly written text. It is an excellent tool for those who need an introduction to CFD, as well as for those who perform CFD calculations routinely, including researchers, students and those in industry."

"This comprehensive book ranges from elementary concepts for the beginner to state-of-the-art CFD for the practitioner."

"...this book constitutes an extremely valuable contribution to the technical CFD literature....I highly recommend it for the library of any institution of individual conducting fundamental or applied research in CFD."


Computational Fluid Dynamics by T. J. Chung Overview

          The second edition of Computational Fluid Dynamics represents a significant improvement from the first edition. However, the original idea of including all computational fluid dynamics methods (FDM, FEM, FVM); all mesh generation schemes; and physical applications to turbulence, combustion, acoustics, radiative heat transfer, multiphase flow, electromagnetic flow, and general relativity is still maintained. This unique approach sets this book apart from its competitors and allows the instructor to adopt this book as a text and choose only those subject areas of his or her interest. The second edition includes a new section on preconditioning for EBE-GMRES and a complete revision of the section on flowfield-dependent variation methods, which demonstrates more detailed computational processes and includes additional example problems. For those instructors desiring a textbook that contains homework assignments, a variety of problems for FDM, FEM, and FVM are included in an appendix. To facilitate students and practitioners intending to develop a large-scale computer code, an example of FORTRAN code capable of solving compressible, incompressible, viscous, inviscid, 1D, 2D, and 3D for all speed regimes using the flowfield-dependent variation method is made available.

Computational Fluid Dynamics by T. J. Chung Review

I like this book a great deal, but do note that I'm reviewing it as a treatment of numerical approaches to partial differential equations in computational fluid dynamics and not as a text for CFD as a whole.

My background is applied mathematics via finance and economics. I'm interested in solving parabolic and elliptic PDEs by finite differences, and eventually by finite elements and spectral techniques, as a means of pricing various financial derivatives.

Chung's book is a remarkably thorough treatment of the available techniques in these areas with substantial pointers to the primary literature. Explanations tend to be rather terse but nonetheless complete. More explanation, and possibly a few more examples, might be helpful, but that's a question of authorial style. Indeed, at some points I'm happy for a spare treatment that highlights the logical structure of the problem at hand in a subject laden with multiple layers of literature and detail.

To calibrate, I find Chung's book more accessible than Roache (CFD), Richtmyer and Morton, Thomas, and Elman et al; about the same level as LeVeque (Finite Difference Methods) and Ames (Numerical Methods); and harder than Smith, Morton and Mayers, Trefethen (Spectral Methods), Pozrikidis (Finite and Spectral Element Methods), and the treatment of PDEs in Press et al. It's also easier to use than more specialized works like Strikwerda, Karniadakis and Sherwin, and any of Hackbusch's books. (Full citations are in Listmania; see my Amazon profile.)

If you're willing to work with pencil in-hand, as with almost all science books, and to hit the stacks occasionally for back-up material, Chung's book is a great entry point to numerical PDEs.

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