Computational Fluid Dynamics: Principles and Applications

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Computational Fluid Dynamics: Principles and Applications

Author: Jiri Blazek | Size: 11.4 MB | Format: PDF | Quality: Scanner | Publisher: Elsevier Science | Year: May 25, 2001 | pages: 440 | ISBN: 0080430090, ISBN-13: 978-0080430096

Computational Fluid Dynamics (CFD) is an important design tool in engineering and also a substantial research tool in various physical sciences. The objective of this book is to provide a solid foundation for understanding the numerical methods employed in today's CFD and to raise awareness of modern CFD codes through hands-on experience. The book should be a useful reference work for engineers and scientists starting to work in the field of CFD or those who apply CFD codes. The accompanying CD-ROM contains the sources of 1-D and 2-D Euler solvers as well as grid generators.

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Computational Fluid Dynamics: Principles and Applications, Third Edition

Author: Jiri Blazek | Size: 13 MB | Format: PDF | Quality: Original preprint | Publisher: Butterworth-Heinemann | Year: 2015 | pages: 466 | ISBN: 9780080999951

Computational Fluid Dynamics: Principles and Applications, Third Edition presents students, engineers, and scientists with all they need to gain a solid understanding of the numerical methods and principles underlying modern computation techniques in fluid dynamics. By providing complete coverage of the essential knowledge required in order to write codes or understand commercial codes, the book gives the reader an overview of fundamentals and solution strategies in the early chapters before moving on to cover the details of different solution techniques.

This updated edition includes new worked programming examples, expanded coverage and recent literature regarding incompressible flows, the Discontinuous Galerkin Method, the Lattice Boltzmann Method, higher-order spatial schemes, implicit Runge-Kutta methods and parallelization.

An accompanying companion website contains the sources of 1-D and 2-D Euler and Navier-Stokes flow solvers (structured and unstructured) and grid generators, along with tools for Von Neumann stability analysis of 1-D model equations and examples of various parallelization techniques.
Will provide you with the knowledge required to develop and understand modern flow simulation codesFeatures new worked programming examples and expanded coverage of incompressible flows, implicit Runge-Kutta methods and code parallelization, among other topicsIncludes accompanying companion website that contains the sources of 1-D and 2-D flow solvers as well as grid generators and examples of parallelization techniques.

Table of contents :
Content:
Front Matter, Pages i-ii
Copyright, Page iv
Acknowledgments, Page ix
List of Symbols, Pages xi-xv
Abbreviations, Pages xvii-xviii
Chapter 1 - Introduction, Pages 1-5
Chapter 2 - Governing Equations, Pages 7-27
Chapter 3 - Principles of Solution of the Governing Equations, Pages 29-72
Chapter 4 - Structured Finite-Volume Schemes, Pages 73-120
Chapter 5 - Unstructured Finite-Volume Schemes, Pages 121-166
Chapter 6 - Temporal Discretization, Pages 167-211
Chapter 7 - Turbulence Modeling, Pages 213-252
Chapter 8 - Boundary Conditions, Pages 253-281
Chapter 9 - Acceleration Techniques, Pages 283-335
Chapter 10 - Consistency, Accuracy, and Stability, Pages 337-356
Chapter 11 - Principles of Grid Generation, Pages 357-393
Chapter 12 - Software Applications, Pages 395-407
Appendix, Pages 409-442
Index, Pages 443-447

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