Please note: Due to alternative arrangements for teaching and
assessment in place from 18 March 2020 to mitigate against the restrictions in
place due to COVID-19, information shown for 2019/20 may not always be accurate.
Please note: you are viewing unit and programme information
for a past academic year. Please see the current academic year for up to date information.
Unit name |
Applied Numerical Methods for Aerodynamics |
Unit code |
AENGM0026 |
Credit points |
10 |
Level of study |
M/7
|
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24)
|
Unit director |
Professor. Allen |
Open unit status |
Not open |
Pre-requisites |
Completion of Year 3
|
Co-requisites |
None
|
School/department |
Department of Aerospace Engineering |
Faculty |
Faculty of Engineering |
Description including Unit Aims
This unit focuses on the implementation of various techniques used to extract useful information from computational fluid dynamics simulations.
The aim is to present the application of various levels of state-of-the-art numerical analysis techniques with particular focus on aerospace engineering.
Aims:
The aim of this unit is to equip the student with:
- Knowledge and understanding of the various mathematical formulations used
- in CFD codes, and where each is applicable;
- Knowledge and understanding of the fundamental mathematical techniques
- used in data modelling, surrogate modelling, and data space interpolation;
- Knowledge and understanding of the techniques used in optimisation and
- design;
- Knowledge and understanding of the techniques in coupled fluid-structure
- problems;
- Knowledge and understanding of the mathematical techniques used in
- reduced order modelling, particularly related to aero aeroelastic design.
Intended Learning Outcomes
On successful completion of the course the students will be able to understand, implement and assess numerical techniques for:
- Construction of surrogate and interpolation models of a desired accuracy from a computational fluid dynamics process;
- Aerodynamic shape optimisation;
- Coupling aerodynamic simulation codes with a range of structural models;
- Construction of reduced order models.
Teaching Information
4 on Steady and unsteady computational fluid dynamics;
4 on Surrogate modelling;
4 on Aerodynamic optimisation;
4 on Fluid structure interaction;
4 on Reduced order modelling
Assessment Information
75% examination, 25% coursework
Reading and References
As recommended by unit director