Oberwolfach Seminar: Computational Fluid Dynamics

Date

November 22nd - November 28th, 2009

Organizers

Michael Dumbser, Trento

Christiane Helzel, Bochum

Michael Junk, Konstanz

Claus-Dieter Munz, Stuttgart

Programme

The seminar gives an introduction to Computational Fluid Mechanics and deals mainly with numerical techniques for solving the compressible Navier-Stokes equations. We will try to give an overview of the commonly used methods and the candidates for the next generation of CFD codes.

Each morning, three lectures will introduce fundamental concepts of numerical fluid mechanics. We start with the commonly used approaches and continue with actual concepts in research. The specific topics are

1. Finite volume schemes and their basic building blocks
2. High order accuracy in space and time
3. Cartesian grid methods and AMR (Automatic Mesh Refinement)
4. Basic building blocks of discontinuous Galerkin schemes
5. Lattice Boltzmann methods for incompressible flow
6. The Low Mach number problem

We address the advantages and disadvantages of the different approaches to solve numerically the practical problems of aerodynamics, aeroacoustics, and fluid mechanics.

The afternoons will be devoted to more informal sessions concerning the algorithms, how to implement, and the application of the techniques as presented in the morning.

The seminar will be devised for an interdisciplinary audience from mathematics, engineering and natural sciences. Some background in the numerical solution of differential equations, about conservation equations and the equations of fluid motion are required. Manuscripts on the different topics will be made available.

Prerequisites

Will be announced later.

Literature

Will be announced later.

Deadline for applications

October 15th, 2009

The seminars take place at the Mathematisches Forschungsinstitut Oberwolfach. The number of participants is restricted to 24. The Institute covers accommodation and food. Travel expenses cannot be reimbursed. Applications including

• full name and address, including e-mail address
• present position, university
• name of supervisor of Ph.D. thesis
• a short summary of previous work and interest

should be sent as hard copy or by e-mail (.ps or .pdf file) to:

    Prof. Dr. Gert-Martin Greuel
    Universität Kaiserslautern
    Fachbereich Mathematik
    Erwin Schrödingerstr.
    67663 Kaiserslautern, Germany