Outline

Overview

Objectives/Expected Outcomes: To develop a specialist knowledge in the fields of computational, non-linear and unsteady aerodynamics. The develop familiarity with the techniques for predicting airflow/structure interactions for aerospace vehicles. Syllabus Summary: Advanced two and three dimensional panel method techniques; calculation of oscillatory flow results; prediction of aerodynamic derivatives. Pressure distributions for complete aircraft configuration. Unsteady subsonic flow analysis of aircraft; calculation of structural modes. Structural response to gusts; aeroelasticity; flutter and divergence. Solution of aerospace flow problems using finite element methods. Unsteady supersonic one-dimensional flow. Hypersonic flow; real gas effects. Introduction to the use of CFD for transonic flow.

Unit details and rules

Academic unit	Aerospace, Mechanical and Mechatronic
Credit points	6
Prerequisites ?	AERO9260 or AERO8260 or AERO3260
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	BE in the area of Aerospace Engineering or related Engineering field.
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Gareth Vio, gareth.vio@sydney.edu.au
Lecturer(s)	Gareth Vio, gareth.vio@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Assignment 1	20%	Week 06	N/A
Outcomes assessed:
Assignment	Assignment 2	20%	Week 06	N/A
Outcomes assessed:
Assignment	Major Project	60%	Week 12	N/A
Outcomes assessed:
= group assignment ?

Assessment summary

Assignment 1: Analysis of wing/structure interactions for both flutter, divergence and non-linear response.
Assignment 2: Analysis structural models to predict a flutter boundary using MSC.Nastran.
Major Project: Design / Build / Test a flexible wing model. Analysis of acceleration data from wind tunnel tests.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

The penalty for lateness is 5% per day. The penalty would apply from the next calendar day after the deadline. The penalty is a percentage of the available mark and is applied to the mark gained after the submitted work is marked (e.g., an assignment worth 100 marks is 1 day late. The content is given a mark of 75. With the 5% penalty, the final mark is 70).

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Week 01	Introduction	Lecture and tutorial (4 hr)
Week 02	FSI Scaling effects	Lecture and tutorial (4 hr)
Week 03	Unsteady flows	Lecture and tutorial (4 hr)
Week 04	Unsteady flows continued	Lecture and tutorial (4 hr)
Week 05	Fluid-Structure interactions	Lecture and tutorial (4 hr)
Week 06	Experimental Methods	Lecture and tutorial (4 hr)
Week 07	Complete dynamic solution of air-structure interaction system	Lecture and tutorial (4 hr)
Week 08	Instability Prediction Criterions	Lecture and tutorial (4 hr)
Week 09	Flight Vibration Data Analysis	Lecture and tutorial (4 hr)
Week 10	Non-Linear FSI	Lecture and tutorial (4 hr)
Week 11	1. Analysis using package software; 2. Benchmarking and modelling	Lecture and tutorial (4 hr)
Week 12	Wind Tunnel Testing	Lecture and tutorial (4 hr)
Week 13	Review	Lecture and tutorial (4 hr)

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

Katz & Plotkin – Low Speed Aerodynamics
Fung – An Introduction to Theory of Elasticity. Dover, 1969.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

LO1. understand the limitations of theory and the effect of second-order parameters (Reynolds number, Mach Number) to the primary fluid-flow properties
LO2. construct simple computer algorithms that will allow more complex geometries to be solved and determine the best approach from survey of existing methods
LO3. predict flow properties for general aircraft wing sections to obtain lift, drag and pitching moment
LO4. extrapolate section results to predict unsteady flow effects and three-dimensional wing behaviour
LO5. demonstrate an improved understanding of the use of software packages to solve fluid flow problems
LO6. undertake experiments and analyse data to verify theoretical predictions.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Alignment with Competency standards

Outcomes	Competency standards
	Engineers Australia Curriculum Performance Indicators - 1.1. Developing underpinning capabilities in mathematics, physical, life and information sciences and engineering sciences, as appropriate to the designated field of practice.
	Engineers Australia Curriculum Performance Indicators - 2.2. Application of enabling skills and knowledge to problem solution in these technical domains.
	Engineers Australia Curriculum Performance Indicators - 5.3. Skills in the selection and characterisation of engineering systems, devices, components and materials.
	Engineers Australia Curriculum Performance Indicators - 4.2. Ability to use a systems approach to complex problems, and to design and operational performance.
	Engineers Australia Curriculum Performance Indicators - 4.3. Proficiency in the engineering design of components, systems and/or processes in accordance with specified and agreed performance criteria.
	Engineers Australia Curriculum Performance Indicators - 5.7. Proficiency in appropriate laboratory procedures; the use of test rigs, instrumentation and test equipment.

Engineers Australia Curriculum Performance Indicators -

Competency code	Taught, Practiced or Assessed	Competency standard
1.1		Developing underpinning capabilities in mathematics, physical, life and information sciences and engineering sciences, as appropriate to the designated field of practice.
2.2		Application of enabling skills and knowledge to problem solution in these technical domains.
4.2		Ability to use a systems approach to complex problems, and to design and operational performance.
4.3		Proficiency in the engineering design of components, systems and/or processes in accordance with specified and agreed performance criteria.
5.3		Skills in the selection and characterisation of engineering systems, devices, components and materials.
5.7		Proficiency in appropriate laboratory procedures; the use of test rigs, instrumentation and test equipment.

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

Unit did not run in 2019

Additional information

There may be statistically defensible moderation when combining the marks from each component to ensure consistency of marking between markers, and alignment of final grades with unit outcomes.

Work, health and safety

All students will use Wind Tunnel Facilities under Supervision

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Alignment with Competency standards

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links

AERO5200: Advanced Aerodynamics

Semester 2, 2020 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Alignment with Competency standards

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links