Book contents
- Frontmatter
- Contents
- List of Figures
- Preface
- 1 Introduction
- I BASIC THEORY
- 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
- A Entropy Conditions for Scalar Conservation Laws
- B Convergence of the Godunov Scheme
- C Riemann Solver for a γ-Law Gas
- D The MUSCL Scheme
- Bibliography
- Glossary
- Index
8 - Geometric Extensions
Published online by Cambridge University Press: 20 August 2009
- Frontmatter
- Contents
- List of Figures
- Preface
- 1 Introduction
- I BASIC THEORY
- 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
- A Entropy Conditions for Scalar Conservation Laws
- B Convergence of the Godunov Scheme
- C Riemann Solver for a γ-Law Gas
- D The MUSCL Scheme
- Bibliography
- Glossary
- Index
Summary
This chapter addresses one of the most central issues of computational fluid dynamics, namely, the simulation of flows under complex geometric settings. The diversity of these issues is briefly outlined in Section 8.1, which points out the role played by the present extensions: the (1-D) “singularity tracking” and the (2-D) “moving boundary tracking” (MBT) schemes. Section 8.2 deals with the first extension, and Section 8.3 is devoted to an outline of the second one. In the former we present the scheme methodology and refer to GRP papers for examples. In the latter, the basic principles of the method are presented, and we refer to [39] for more algorithmic details. Finally, an illustrative example of the MBT method shows how an oval disk is “kicked-off” by a shock wave.
Grids That Move in Time
In Part I of this monograph we dealt with finite-difference approximations to the quasi-1-D hydrodynamic conservation laws, where the underlying grid was fixed and equally spaced in the majority of cases. In our two-dimensional numerical extension (Section 7.3) we restricted the treatment to a Cartesian (rectangular) grid. Naturally, finite-difference approximations assume their simplest form on such grids, and the motivation for seeking geometric extensions comes primarily from physical applications.
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- Generalized Riemann Problems in Computational Fluid Dynamics , pp. 251 - 268Publisher: Cambridge University PressPrint publication year: 2003