The goal of this class is to learn about the basics numerical modelling for applications to the living.
The Lectures and oral examination are given in English.
The Lecture, 39 hours total, is divided into 3 main parts namely Solid mechanics/ Fluid Mechanics / Reduced order modelling.
| On completion of the unit, the student will be capable of: | Classification level | Priority |
|---|---|---|
| Know the basics of the numerical modelling of deformable solids and fluids | 2. Understand | Essential |
| Know how to use medical imaging to generate a numerical model | 2. Understand | Important |
| Know how to use, interpret and analyse the results of numerical simulations | 4. Analyse | Essential |
| Use your knowledge to build simulations relevant to a clinical application | 7. Create | Essential |
| Know of to build, compute and analyse a reduced order model | 2. Understand | Essential |
| Know how to confront your numerical results to experimental data for validation | 4. Analyse | Essential |
| Percentage ratio of individual assessment | Percentage ratio of group assessment | ||||
|---|---|---|---|---|---|
| Written exam: | % | Project submission: | 50 | % | |
| Individual oral exam: | 50 | % | Group presentation: | % | |
| Individual presentation: | % | Group practical exercise: | % | ||
| Individual practical exercise: | % | Group report: | % | ||
| Individual report: | % | ||||
| Other(s): % | |||||
| Type of teaching activity | Content, sequencing and organisation |
|---|---|
| Numerical Practical | Generation of a numerical model from medical imaging (3h) |
| Class + Exp. Pract. + Num. Pract. | Indentification of constitutive laws, Mechanical testing, V&V, Uncertainty quantification (9h) |
| Class + Num. Pract. | Implementation of a constitutive law (3h) |
| Numerical Practical | Computational Fluid Dynamics (6h) |
| Class + Num. Pract. | Transport in tissues (3h) |
| Numerical Practical | Fluid-Structure Interactions (3h) |
| Class | Introduction to reduced order modelling : parametrization, sampling, selection and fitting of a surface response, application of reduced order (1h30) |
| Class + Num. Pract. | Design of experiments (3h) |
| Class + Num. Pract. | Numerical approach for reduced order modelling parameterization of the geometry, sensitiviy studies, machine learning (4h30) |