Course Title: Optimum Structures
Part A: Course Overview
Course Title: Optimum Structures
Credit Points: 12.00
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
AERO2403 |
Bundoora Campus |
Undergraduate |
115H Aerospace, Mechanical & Manufacturing Engineering |
Face-to-Face |
Sem 2 2006 |
Course Coordinator: Dr Javid Bayandor
Course Coordinator Phone: +61 3 9925 6192
Course Coordinator Email: javid.bayandor@rmit.edu.au
Course Coordinator Location: Bundoora East 251.3.10
Course Coordinator Availability: As shown on office door
Pre-requisite Courses and Assumed Knowledge and Capabilities
Pre-requisites are a knowledge of structures, vibrations and finite-element methods. The following (or equivalent) are pre-requisite courses:
- AERO2357 Aerospace Finite Element Methods
- AERO2253 – Aerospace Dynamics and Control
Course Description
The aim of the course is to provide a sound introduction to the principles of optimisation, and to present optimisation as a practical design tool. In this course students will cover:
• Mathematical methods of optimization;
• Numerical methods of optimization;
• Solution of practical problems of design improvement.
Students will present results of their analysis in writing and in oral presentations.
Objectives/Learning Outcomes/Capability Development
At the end of this course you will be able to
• Demonstrate understanding of fundamental principles relating to the Finite Element Method and its utilisation in the Aerospace sector;
• Demonstrate ability to apply the Finite Element Method in structural optimisation of aerospace structures.
The course provides students with a sound understanding of mathematical methods of unconstrained and constrained optimization, with skills in numerical methods of optimization and finally with applying this methods to design improvement.
Overview of Learning Activities
The following activities will be used to enable you to develop the desired learning outcomes:
• Attendance at lectures with lecture notes studied in advance;
• Completion of home work, documented in a portfolio;
• Laboratory exercises, documented in a portfolio;
• Three assignments, handed in and assessed.
Overview of Learning Resources
The following learning resources will be available:
- Lecture notes, available via DLS;
- Appropriate software, such as modeFRONTIER parametric optimisation program; ReSHAPE design improvement program; Hypermesh or Patran pre- and post-processor program.
Overview of Assessment
Assessment will be by assessed assignments, a learning portfolio and a final examination.