Book contents
- Frontmatter
- Contents
- Preface
- Contributing Authors
- 1 A Few Tools For Turbulence Models In Navier-Stokes Equations
- 2 On Some Finite Element Methods for the Numerical Simulation of Incompressible Viscous Flow
- 3 CFD - An Industrial Perspective
- 4 Stabilized Finite Element Methods
- 5 Optimal Control and Optimization of Viscous, Incompressible Flows
- 6 A Fully-Coupled Finite Element Algorithm, Using Direct and Iterative Solvers, for the Incompressible Navier-Stokes Equations
- 7 Numerical Solution of the Incompressible Navier-Stokes Equations in Primitive Variables on Unstaggered Grids
- 8 Spectral Element and Lattice Gas Methods for Incompressible Fluid Dynamics
- 9 Design of Incompressible Flow Solvers: Practical Aspects
- 10 The Covolume Approach to Computing Incompressible Flows
- 11 Vortex Methods: An Introduction and Survey of Selected Research Topics
- 12 New Emerging Methods in Numerical Analysis: Applications to Fluid Mechanics
- 13 The Finite Element Method for Three Dimensional Incompressible Flow
- 14 A Posteriori Error Estimators and Adaptive Mesh-Refinement Techniques for the Navier-Stokes Equations
- Index
11 - Vortex Methods: An Introduction and Survey of Selected Research Topics
Published online by Cambridge University Press: 12 January 2010
- Frontmatter
- Contents
- Preface
- Contributing Authors
- 1 A Few Tools For Turbulence Models In Navier-Stokes Equations
- 2 On Some Finite Element Methods for the Numerical Simulation of Incompressible Viscous Flow
- 3 CFD - An Industrial Perspective
- 4 Stabilized Finite Element Methods
- 5 Optimal Control and Optimization of Viscous, Incompressible Flows
- 6 A Fully-Coupled Finite Element Algorithm, Using Direct and Iterative Solvers, for the Incompressible Navier-Stokes Equations
- 7 Numerical Solution of the Incompressible Navier-Stokes Equations in Primitive Variables on Unstaggered Grids
- 8 Spectral Element and Lattice Gas Methods for Incompressible Fluid Dynamics
- 9 Design of Incompressible Flow Solvers: Practical Aspects
- 10 The Covolume Approach to Computing Incompressible Flows
- 11 Vortex Methods: An Introduction and Survey of Selected Research Topics
- 12 New Emerging Methods in Numerical Analysis: Applications to Fluid Mechanics
- 13 The Finite Element Method for Three Dimensional Incompressible Flow
- 14 A Posteriori Error Estimators and Adaptive Mesh-Refinement Techniques for the Navier-Stokes Equations
- Index
Summary
Introduction
Vortex methods are a type of numerical method for approximating the solution of the incompressible Euler or Navier-Stokes equations. In general, vortex methods are characterized by the following three features.
1. The underlying discretization is of the vorticity field, rather than the velocity field. Usually this discretization is Lagrangian in nature and frequently it consists of a collection of particles which carry concentrations of vorticity.
2. An approximate velocity field is recovered from the discretized vorticity field via a formula analogous to the Biot-Savart law in electromagnetism.
3. The vorticity field is then evolved in time according to this velocity field.
In the past two decades a number of different numerical methods for computing the motion of an incompressible fluid have been proposed that have the above features. In this article we consider a class of such methods which are based on the work of Chorin [1973, 1978, 1980, and 1982]. Members of this class are related by the manner in which a vorticity field in an inviscid, incompressible flow is discretized and subsequently evolved. It is common practice to use the term vortex method or the vortex method to refer to a member of this class when it is used to model the incompressible Euler equations. One can modify the vortex method and use it to model the incompressible Navier-Stokes equations by adding a random walk. This is known as the random vortex method. One can also replace the random walk by some non-random technique for solving the diffusion equation. Such methods are generally referred to as deterministic vortex methods.
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- Chapter
- Information
- Incompressible Computational Fluid DynamicsTrends and Advances, pp. 335 - 408Publisher: Cambridge University PressPrint publication year: 1993
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