Del 11 i serien Cambridge Monographs on Applied and Computational Mathematics

Generalized Riemann Problems in Computational Fluid Dynamics

Häftad, Engelska, 2011

AvMatania Ben-Artzi,Joseph Falcovitz

969 kr

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Numerical simulation of compressible, inviscid time-dependent flow is a major branch of computational fluid dynamics. Its primary goal is to obtain accurate representation of the time evolution of complex flow patterns, involving interactions of shocks, interfaces, and rarefaction waves. The Generalized Riemann Problem (GRP) algorithm, developed by the authors for this purpose, provides a unifying 'shell' which comprises some of the most commonly used numerical schemes of this process. This monograph gives a systematic presentation of the GRP methodology, starting from the underlying mathematical principles, through basic scheme analysis and scheme extensions (such as reacting flow or two-dimensional flows involving moving or stationary boundaries). An array of instructive examples illustrates the range of applications, extending from (simple) scalar equations to computational fluid dynamics. Background material from mathematical analysis and fluid dynamics is provided, making the book accessible to both researchers and graduate students of applied mathematics, science and engineering.

Produktinformation

Utgivningsdatum2011-07-28
Mått152 x 229 x 21 mm
Vikt540 g
FormatHäftad
SpråkEngelska
SerieCambridge Monographs on Applied and Computational Mathematics
Antal sidor366
FörlagCambridge University Press
ISBN9780521173278

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Preface; List of figures; 1. Introduction; Part I. Basic Theory: 2. Scalar conservation laws; Appendix A: entropy conditions for scalar conservation laws; 3. The GRP method for scalar conservation laws; Appendix B: convergence of the Godunov scheme; 4. Systems of conservation laws; Appendix C: Riemann solver for a y-law gas; 5. The generalized Riemann problem (GRP) for compressible fluid dynamics; Appendix D: the MUSCL scheme; 6. Analytical and numerical treatment of fluid dynamical problems; Part II. Numerical Implementation: 7. From the GRP algorithm to scientific computing; 8. Geometric extensions; 9. A physical extension: reacting flow; 10. Wave interaction in a duct - a comparative study; Bibliography; Glossary; Index.

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