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The Finite Element Method (SF2561), 7.5hp, Fall 2014
[Work in progress]
News
The Finite Element Method
The Finite Element Method (FEM) is a numerical method for solving general differential equations. FEM was first developed for elasticity and structural analysis, but is today used as a universal computational method in all areas of science and engineering, including fluid mechanics, electromagnetics, biomechanics and financial mathematics. The mathematical framework of FEM is well developed, which allows for detailed estimation of the discretisation error and efficient adaptive algorithms that minimise the computational cost, and many FEM software implementations are available, both commercial and open source. This course will cover the theory of FEM, basic algorithms, and practical aspects including software implementation.
Examples of FEM simulations using the open source software FEniCS.
Practical information
The course consists of:
- 9 lectures
- 2 laboratory sessions
- 6 exercise sessions
Course goals
The goal of this course is to give basic knowledge of the theory and practice of the finite element method and its application to solve the partial differential equations of physics and engineering sciences. The purpose is to give a balanced combination of theoretical and practical skills. The theoretical part is mainly concerned with the derivation of finite element formulations, estimating the discretisation error and to use error estimates to adaptively refine the mesh. The practical part deals with computer implementation of the method: matrix and vector assembly, numerical integration, etc.
Course PM
Project PM
Teacher
Office hours
Mondays 9:00-10:00 (Office 4429, Lindstedtsvägen 5)
Literature
Course book (CDE): Eriksson, Estep, Hansbo, Johnson, "Computational Differential Equations", Studentlitteratur, (ISBN ISBN 91-44-49311-8), 1996. [Bokus] [Studentlitteratur]
Software
Puffin (simple Matlab/Octave FEM software)
FEniCS (advanced Python/C++ FEM software)
Extra material
Further reading
Add-on studies
DN2295 Project Course in Scientific Computing (talk to course leader)
DN2275 Advanced Computation in Fluid Mechanics