Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- Acknowledgments
- 1 Introduction and Background
- 2 Mathematical Models of Fluid Flow
- 3 Numerical Methods for the Solution of Partial Differential Equations
- 4 Fundamental Stability Theory
- 5 Shock Capturing Schemes I: Scalar Conservation Laws
- 6 Shock Capturing Schemes II: Systems of Equations and Gas Dynamics
- 7 Discretization Schemes for Flows in Complex Multi-dimensional Domains
- 8 The Calculation of Viscous flow
- 9 Overview of Time Integration Methods
- 10 Steady State Problems
- 11 Time-Accurate Methods for Unsteady Flow
- 12 Energy Stability for Nonlinear Problems
- 13 High order Methods for Structured Meshes
- 14 High Order Methods for Unstructured Meshes
- 15 Aerodynamic Shape Optimization
- Appendix A Vector and Function Spaces
- Appendix B Approximation Theory
- Appendix C Polynomial Interpolation, Differentiation, and Integration
- Appendix D Potential Flow Methods
- Appendix E Fundamental Stability Theory II
- Appendix F Turbulence Models
- References
- Index
- Plates
10 - Steady State Problems
Published online by Cambridge University Press: 12 August 2022
- Frontmatter
- Dedication
- Contents
- Preface
- Acknowledgments
- 1 Introduction and Background
- 2 Mathematical Models of Fluid Flow
- 3 Numerical Methods for the Solution of Partial Differential Equations
- 4 Fundamental Stability Theory
- 5 Shock Capturing Schemes I: Scalar Conservation Laws
- 6 Shock Capturing Schemes II: Systems of Equations and Gas Dynamics
- 7 Discretization Schemes for Flows in Complex Multi-dimensional Domains
- 8 The Calculation of Viscous flow
- 9 Overview of Time Integration Methods
- 10 Steady State Problems
- 11 Time-Accurate Methods for Unsteady Flow
- 12 Energy Stability for Nonlinear Problems
- 13 High order Methods for Structured Meshes
- 14 High Order Methods for Unstructured Meshes
- 15 Aerodynamic Shape Optimization
- Appendix A Vector and Function Spaces
- Appendix B Approximation Theory
- Appendix C Polynomial Interpolation, Differentiation, and Integration
- Appendix D Potential Flow Methods
- Appendix E Fundamental Stability Theory II
- Appendix F Turbulence Models
- References
- Index
- Plates
Summary
The design of time-integration methods for steady state problems is discussed in this chapter, including a variety of methods for accelerating convergence to a steady state. A variety of convergence acceleration techniquesare discussed, includingways in which the time integration process itself may be optimized for steady state calculations. In this case, the accuracy of the time integration scheme is no longer a consideration. This enables the use of modified RK schemes of reduced computational complexity. Moreover, the schemes may be tailored to increase the allowable time step, thereby promoting more rapid convergence to a steady state. Moreover, they can be tailored to drive multigrid acceleration.
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- Information
- Computational Aerodynamics , pp. 330 - 366Publisher: Cambridge University PressPrint publication year: 2022