TY  - BOOK
AU  - Shyy,W.
TI  - Computational techniques for complex transport phenomena
SN  - 9780511665462 (ebook)
AV  - TA357.5.D37 S49 1997
U1  - 620.1/04 21
PY  - 1997///
CY  - Cambridge
PB  - Cambridge University Press
KW  - Computational fluid dynamics
KW  - Multiphase flow
KW  - Mathematical models
KW  - Turbulence
KW  - Transport theory
N1  - Title from publisher's bibliographic system (viewed on 05 Oct 2015); 1; Introduction --; 2; Numerical Scheme for Treating Convection and Pressure --; 3; Computational Acceleration with Parallel Computing and Multigrid Method --; 4; Multiblock Methods --; 5; Two-Equation Turbulence Models with Nonequilibrium, Rotation, and Compressibility Effects --; 6; Volume-Averaged Macroscopic Transport Equations --; 7; Practical Applications
N2  - Complex fluid flows are encountered widely in nature, in living beings and in engineering practice. These flows often involve both geometric and dynamic complexity and present problems that are difficult to analyse because of their wide range of length and time scales, as well as their geometric configuration. This book describes some newly developed computational techniques and modelling strategies for analysing and predicting complex transport phenomena. It summarizes advances in the context of a pressure-based algorithm. Among methods discussed are discretization schemes for treating convection and pressure, parallel computing, multigrid methods, and composite, multiblock techniques. With respect to physical modelling, the book addresses issues of turbulence closure and multiscale, multiphase transport from an engineering viewpoint. Both fundamental and practical issues are considered, along with the relative merits of competing approaches. The final chapter is devoted to practical applications that illustrate the advantages of various numerical and physical tools. Numerous examples are given throughout the text. Mechanical, aerospace, chemical and materials engineers can use the techniques presented in this book to tackle important, practical problems more effectively
UR  - https://doi.org/10.1017/CBO9780511665462
ER  -