Design Optimisation S6
Module aims
In this module you will explore how design optimisation methods can be used to improve engineering performance. You will learn to formulate optimisation problems across a variety of common types of problems (shape, topology, size), and to apply optimisation methods and conduct sensitivity analyses. By the end of the module you will be able to apply optimisation approaches to design components for structural, fluid and other disciplines.
Students are expected to bring their own laptop into class to work on practical oprimisation problems.
Learning outcomes
On successfully completing this module, you should be able to:
1. Formulate multidisciplinary optimization problems, identifying optmisation parameters, objectives and constraints.
2. Use a working understanding of the various methods available for design optimisation, their relative capabilities, advantages and disadvantages, to select the most appropriate for the solution of an engineering problem.
3. Use the range of computational tools presented in order to solve a design optimisation problem
4. Discuss the state-of-art for fluids and structural design oprimisation
Module syllabus
Fundamentals of design optimisation
- Problem definition
- Variables, Objectives, Constraints & Feasibility
Multidisciplinary Optimization Methods
- Optimisation algorithms
- Response surfaces
- Genetics Algorithms / Ant Colony Optimisation / Simulated Annealing
- Sensitivity analysis - finite difference, complex step, adjoint methods and other AD approaches.
- Topology Optimisation
Applications
- Fluids
- Metamaterials
- Uncertainty Quantification
- Industrial applications
Teaching methods
The module will be delivered primarily through large-class lectures introducing the key concepts and methods, supported by a variety of delivery methods combining the traditional and the technological. The content is presented via a combination of slides, whiteboard and visualizer. Students are expected to bring their own laptop into class to work on practical oprimisation problems. Learning will be reinforced through tutorial question sheets.
Assessments
This module presents opportunities for both formative and summative assessment.
You will be formatively assessed through progress tests and tutorial sessions.
You will have additional opportunities to self-assess your learning via tutorial problem sheets.
You will be summatively assessed by a computer-based, written examination at the end of the module.
You will receive feedback on examinations in the form of an examination feedback report on the performance of the entire cohort.
You will receive feedback on your performance whilst undertaking tutorial exercises, during which you will also receive instruction on the correct solution to tutorial problems.
Further individual feedback will be available to you on request via this module’s online feedback forum, through staff office hours and discussions with tutors.
| Assessment type
|
Assessment description
|
Weighting
|
Pass mark
|
| Examination
|
Computer-based examination
|
100%
|
50%
|
Reading list
Module leaders
Professor Robert Hewson