Course unit

Finite Elements

Last updated: 26/09/2022

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Course Director(s):

AOUFI Asdin

General Description:

Understanding the mathematical bases of the finite element method:

  • Variational Formulation and Galerkin method
  • Discretised Variational Formulation:  linear system KU=F

Key words:

Partial differential equations Variational Formulation

Number of teaching hours

9

Fields of study

Teaching language

French

Intended learning outcomes

On completion of the unit, the student will be capable of: Classification level Priority
Differentiating between weak and strong problems 1. Knowledge Important
Differentiating between weak and strong problems 2. Understand Important
Analysing a strong problem, showing its singularity then writing the variational formulation and finally discretizing it to achieve a linear system KU=F 3. Apply Essential
Analysing a strong problem, showing its singularity then writing the variational formulation and finally discretizing it to achieve a linear system KU=F 4. Analyse Essential

Learning assessment methods

Percentage ratio of individual assessment Percentage ratio of group assessment
Written exam: 100 % Project submission: %
Individual oral exam: % Group presentation: %
Individual presentation: % Group practical exercise: %
Individual practical exercise: % Group report: %
Individual report: %
Other(s): %

Programme and content

Type of teaching activity Content, sequencing and organisation
Course/Supervised study

1. Introduction : examples of problems solved by the finite elements method

2. Mathematic reminders of divergence, gradient and Laplacian operators

3. Properties of partial differential equations of the elliptic type: existence and singularity depending on the type of limit conditions (Dirichlet, Neumann, Robin)

4. Exercices

Course/Supervised study

1. Variational formulation, minimisation of the energy function and strong problems

2. Galerkin method principle and error calculation (Cea’s Lemma)

3. Discrete formulations : KU=F for determining unknown nodals; expression of form functions and elementary integrals

4. Detailed dimension study : problem of the p-n junction (theoretical and digital study with P1 approximation)

5.Exercices

Course/Supervised study

1. Detailed dimension study

2: Thermal and load problem of a condenser (theoretical and digital study with P1 approximation on triangular mesh)