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Unit outline_

AERO4360: Aerospace Structures 2

Semester 1, 2023 [Normal day] - Camperdown/Darlington, Sydney

This unit aims to teach fundamentals of modern numerical and analytical techniques for evaluating stresses, strains, deformations and strengths of representative aerospace structures. In particular the focus is on developing an understanding of: Fundamental concepts and formulations of the finite element methods for basic structural analysis; Elements for typical aerospace structures, such as beams/frames, plates/shells, and their applications and limitations; Finite element techniques for various types of problems pertinent to aerospace structures; and, developing hands-on experience of using selected commercial finite element analysis program. At the end of this unit of study the following will have been covered: Introduction to Finite Element Method for modern structural and stress analysis; One-dimensional rod elements; Generalization of FEM for elasticity; Two- and three-dimensional trusses; FEA for beams and frames in 2D and 3D; Two-dimensional problems using constant strain triangular elements; The two-dimensional isoparametric elements; Plates and shells elements and their applications; FEA for axisymmetric shells and pressure vessels, shells of revolution; FEA for axisymmetric solids subjected to axi-symmetric loading; FEA for structural dynamics, eigenvalue analysis, modal response, transient response; Finite element analysis for stress stiffening and buckling of beams, plates and shells; Three-dimensional problems in stress analysis; Extensions to the element library, higher order elements, special elements; Constraints; FEA modeling strategy; FEA for heat conduction; FEA for non-linear material and geometric analysis.

Unit details and rules

Academic unit Aerospace, Mechanical and Mechatronic
Credit points 6
Prerequisites
? 
AERO3360
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

AERO3465

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Liyong Tong, liyong.tong@sydney.edu.au
Lecturer(s) Liyong Tong, liyong.tong@sydney.edu.au
Type Description Weight Due Length
Supervised exam
? 
hurdle task
Final exam
open-book exam.
40% Formal exam period 1.5 hours
Outcomes assessed: LO2 LO4 LO5 LO6 LO7 LO8
Small continuous assessment group assignment Lab projects
Solutions submitted and marked off during lab hours 2-4 pm week 2-13.
15% Week 02 2 hours
Outcomes assessed: LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO1
Online task Assignment 01
hand-written working analysis question.
2% Week 02
Due date: 05 Mar 2023 at 23:59
n/a
Outcomes assessed: LO2 LO4 LO5 LO6 LO7 LO8
Online task Assignment 02
hand-written working analysis question.
2% Week 03
Due date: 12 Mar 2023 at 23:59
n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Online task Assignment 03
hand-written working analysis question.
2% Week 04
Due date: 19 Mar 2023 at 23:59
n/a
Outcomes assessed: LO1 LO2 LO3 LO5 LO6 LO7 LO8
Small test In-class quiz
open-book quiz
6% Week 06
Due date: 31 Mar 2023 at 09:50
45 minutes
Outcomes assessed: LO2 LO8 LO7 LO6 LO5 LO4
Online task Assignment 04
hand-written working analysis question.
3% Week 06
Due date: 02 Apr 2023 at 23:59
n/a
Outcomes assessed: LO2 LO4 LO6 LO8
Online task Assignment 05
hand-written working analysis question.
2% Week 08
Due date: 23 Apr 2023 at 23:59
n/a
Outcomes assessed: LO3 LO4 LO5 LO6
Online task Assignment 06
hand-written working analysis question.
2% Week 09
Due date: 30 Apr 2023 at 23:59
n/a
Outcomes assessed: LO3 LO4 LO5 LO6
Online task Assignment 07
hand-written working analysis question.
2% Week 10
Due date: 07 May 2023 at 23:59
n/a
Outcomes assessed: LO4 LO5 LO6
Online task Assignment 08
hand-written working analysis question.
2% Week 11
Due date: 14 May 2023 at 23:59
n/a
Outcomes assessed: LO3 LO4 LO5 LO6 LO8
Online task Assignment 09
hand-written working analysis question.
2% Week 12
Due date: 21 May 2023 at 23:59
n/a
Outcomes assessed: LO3 LO4 LO5 LO6 LO8
Assignment group assignment Major modelling project report
Submitted working report.
20% Week 13
Due date: 25 May 2023 at 23:59
n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
hurdle task = hurdle task ?
group assignment = group assignment ?

Assessment summary

  • Assignment: A penalty will be applied for late submission. Standard late penalty applies as outlined in Assessment Procedures 2011.
  • Lab projects and report: There will be 11 example problems in total to be solved using STRAND7, ANSYS and/or NASTRAN. These will be undertaken in groups of two and marked jointly. All students are requested to attend and perform finite element analysis for the selected example problems. All example problems carry equal marks and will only be marked off in the designated lab session.
  • Quiz: Each quiz will be closed-book and held during lecture hour. 
  • Major modelling project: Each report should have problem statement, finite element modelling scheme, results and discussion, and concluding remarks. The report should be concise, informative and no mare than 15 pages including figures, tables, and references.
  • Final exam: This will be a closed-book exam. A student must get 40% in the final exam to pass the unit, regardless of the sum of his/her individual marks.

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:

Standard late penalty applies as outlined in Assessment Procedures 2011.

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.

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.

WK Topic Learning activity Learning outcomes
Week 01 1. One-dimensional rod elements; 2. Course profile, introduction to FEM for modern structural and stress analysis Lecture and tutorial (3 hr) LO4
1. One-dimensional rod elements; 2. Course profile, introduction to FEM for modern structural and stress analysis Independent study (5 hr) LO4
Week 02 1. Two- and three-dimensional trusses; 2. Generalization of FEM for elasticity Lecture and tutorial (5 hr) LO4 LO5 LO6 LO7
1. Two- and three-dimensional trusses; 2. Generalization of FEM for elasticity Independent study (5 hr) LO4 LO5 LO6 LO7
Week 03 FEA for beams and frames in 2D and 3D Lecture and tutorial (5 hr) LO4 LO5 LO6 LO7 LO8
FEA for beams and frames in 2D and 3D Independent study (5 hr) LO4 LO5 LO6 LO7
Week 04 Two-dimensional problems using constant strain triangular elements Lecture and tutorial (5 hr) LO4 LO5 LO6 LO7 LO8
Two-dimensional problems using constant strain triangular elements Independent study (5 hr) LO3 LO4 LO5 LO6 LO7
Week 05 Two-dimensional problems using constant strain triangular elements Lecture and tutorial (5 hr) LO4 LO5 LO6 LO7 LO8
Two-dimensional problems using constant strain triangular elements Independent study (5 hr) LO4 LO5 LO6 LO7
Week 06 The two-dimensional isoparametric elements Lecture and tutorial (5 hr) LO4 LO5 LO6 LO7 LO8
The two-dimensional isoparametric elements Independent study (5 hr) LO2 LO3 LO4 LO5 LO6 LO7
Week 07 Plates elements and applications Lecture and tutorial (5 hr) LO3 LO4 LO5 LO6 LO7 LO8
Plates elements and applications Independent study (6 hr) LO2 LO3 LO4 LO5 LO6 LO7
Week 08 1. FEA for axisymmetric shells and pressure vessels; 2. FEA for axisymmetric shells and pressure vessels Lecture and tutorial (5 hr) LO5 LO6
1. FEA for axisymmetric shells and pressure vessels; 2. FEA for axisymmetric shells and pressure vessels Independent study (6 hr) LO2 LO3 LO4 LO5 LO6 LO7
Week 09 1. Fundamental concepts in structural dynamics, vibration of beams and plates; 2. Finite element methods for structural dynamics, eigenvalue analysis, modal response, transient response Lecture and tutorial (5 hr) LO2 LO3 LO4 LO5 LO6 LO7
1. Fundamental concepts in structural dynamics, vibration of beams and plates; 2. Finite element methods for structural dynamics, eigenvalue analysis, modal response, transient response Independent study (6 hr) LO2 LO3 LO4 LO5 LO6 LO7 LO8
Week 10 FEA for stress stiffening and buckling Lecture and tutorial (5 hr) LO2 LO3 LO4 LO5 LO6 LO7 LO8
FEA for stress stiffening and buckling Independent study (6 hr) LO2 LO3 LO4 LO5 LO6 LO7 LO8
Week 11 1. Three-dimensional problems in stress analysis; 2. Natural coordinates systems and extensions to the element library, higher order elements Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
1. Three-dimensional problems in stress analysis; 2. Natural coordinates systems and extensions to the element library, higher order elements Independent study (6 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Week 12 1. FEA modeling strategy; 2. Constraints Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4
1. FEA modeling strategy; 2. Constraints Independent study (6 hr) LO1 LO2 LO3 LO5 LO6 LO7 LO8
Week 13 1. Summary; 2. FEA for non-linear material and geometric analysis Lecture and tutorial (5 hr) LO1 LO2 LO3 LO4 LO5 LO6
1. Summary; 2. FEA for non-linear material and geometric analysis Independent study (6 hr) LO1 LO2 LO3 LO4 LO8

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.

  • R. D. Cook, D. S. Malkus and M. E. Plesha, Concepts and Applications of Finite Element Analysis (3rd). John Wiley & Sons, 1989.
  • T.R. Chandrupatla and A.D. Belegundu, Introduction to Finite Elements in Engineering (2nd). Prentice Hall, 1997.

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. work on a project with a team member, this includes rationally selecting a project, developing modeling details, interpreting results and writing professional report
  • LO2. interpret, justify and communicate the numerical results in a professional manner
  • LO3. use selected commercial FEA package and gain hands-on experience, including developing modeling strategy and debugging
  • LO4. understand fundamental concepts of finite element methods
  • LO5. understand and derive shape functions, stiffness matrices and equivalent load vectors for selected element
  • LO6. assemble the global stiffness matrix and global equivalent load vector
  • LO7. understand the difference of elements and their application scopes and limitations
  • LO8. use different solvers to solve different types of aerospace structure problems.

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

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

Convert three assignments to 9 weekly quizzes.

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.