FMNN40F

Temporary

Numerical Simulations of Flow Problems

7.5

Course given jointly for second and third cycle

NUMN28, FMNN40

7154 (Centre of Mathematical Sciences / Numerical Analysis)

NUMN28, FMNN40

2022-12-22

Maria Sandsten

English

Every spring semester

The overall goal of the course is that the graduate student should acquire basic knowledge in modern numerical methods for non-linear conservation laws, with a focus on fluid models.

Important examples of such models are the Euler equations of gas dynamicsand the shallow water equations, both of which are simplifications of the Navier-Stokes equations. These
models are used in the design of aircraft and wind turbines, as well as in climate system research.

The course discusses so called finite volume methods for discretizing the models -- their derivation, convergence and stability properties, --- and touches upon higher order extensions.

The discretization often leads to large nonlinear systems of equations. The course presents iterative methods for solving these -- such as Multigrid and Newton-Krylov. Their convergence properties are discussed, with a particular focus on systems arising from the
above discretizations.

Models of computational fluid dynamics

Hyperbolic conservation laws and their basic properties (weak solutions, weak entropy solutions, shocks)

Discontinuous Galerkin discretizations

Simulations of gas dynamics

Krylov subspace methods with preconditioning

Jacobian-free Newton-Krylov methods

Multigrid methods for flow problems

be able to give an account of mathematical and numerical difficulties arising with nonlinear conservation laws and shock solutions,

be able to explain stability and convergence of discontinuous Galerkin methods,

be able to describe the structure of Jacobian-free Newton-Krylov methods,

be able to describe multi-grid methods and their use for flow problems.

be able to derive a discontinuous Galerkin method for a general conservation law,

be able to implement a discontinuous Galerkin method for a one dimensional nonlinear conservation law,

be able to interpret numerical stability and accuracy problems arising in simulations,

be able to implement a Jacobian-free Newton-Krylov method with preconditioner,

be able to implement a multigrid method and apply it to flow problems,

be able to integrate knowledge from the various parts of the course to address problems within the framework of the course,

be able to plan and execute qualified tasks within the framework of the course, with appropriate methods within given time-frames.

be able to critically evaluate and independently apply methods from the course within a project work,

be able to evaluate their own responsibility for how the subject is
used and discuss the subject's possibilities to contribute to a sustainable social development.

Lectures

Project

Miscellaneous

Apart from lectures and a compulsory (final) project there are assignments. These are not compulsory but provides useful preparations for the project.

Oral exam

Written report

The examination consists of a written report of the project and an appurtenant oral examination based on the report. The oral examination is only given to those students who have passed the written report.

Failed, pass

FMNN10 Numerical Methods for Differential Equations

FMAN35 Calculus in Several Variables and FMAN55 Applied Mathematics.

Birken, P.: Numerical Methods for Unsteady Compressible Flow Problems. CRC Press, 2021. ISBN 9780367457754.
LeVeque, Randall J.: Numerical Methods for Conservation Laws. Springer Science & Business Media, 1992. ISBN 9783764327231.

First title also as Ebook.

FMNN40F

2022-12-22

Maria Sandsten