CIVL5266: Semester 1, 2026

Units CIVL5266 Semester 1 2026 [Normal day]

Unit outline_

CIVL5266: Steel Structures - Stability

Semester 1, 2026 [Normal day] - Camperdown/Darlington, Sydney

Overview

This unit aims to: provide fundamental understanding at advanced level of the behaviour and design of hot-rolled/fabricated and cold-formed steel members; to provide fundamental understanding of newly developed Direct Design Method (DDM) for analysis and design of structural systems; and to develop an understanding of the behaviour and design of steel connections in open and hollow sections. It is anticipated that at the end of this unit of study students should be familiar with the behaviour of steel structures at advanced level in selected areas, including design for local buckling and design for flexural-torsional buckling of columns and beams; have a sound knowledge of AS 4100 in the areas of section capacity determination of slender cross-sections, and flexural-torsional buckling of beams; have a sound knowledge of AS/NZS 4600 in the areas of section capacity determination of slender cross-sections, and flexural-torsional buckling of columns and beams; have knowledge of the use of FEM software in the design of structural systems; have the skills to assess the behaviour of specific connections; have an appreciation of some practical aspects of economical steel connection design. This unit will examine stability theory, Stability design to AS4100 and AS/NZS4600, Direct Design Method, Steel connection design.

Unit details and rules

Academic unit	Civil Engineering
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	Students should be competent in the content covered in Structural Mechanics, Steel Structures, and Structural Analysis. (CIVL3206, CIVL3235). BE students should have completed at least 3 years of studies before attempting this unit.
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Cao Hung Pham, caohung.pham@sydney.edu.au

Assessment

The census date for this unit availability is 31 March 2026

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Written exam	Final written exam Final written exam	45%	Formal exam period	2 hours	AI prohibited
Outcomes assessed:
Practical skill	Design Project (DDM) Design Project (DDM)	25%	Formal exam period Due date: 09 Jun 2026 at 23:59	-	AI allowed
Outcomes assessed:
Practical skill	Assignment 1-Flexural Torsional Buckling Design assignment	15%	Week 06 Due date: 03 Apr 2026 at 23:59	-	AI allowed
Outcomes assessed:
Practical skill	Assignment 2-Design of Steel Connections Design Project	15%	Week 10 Due date: 08 May 2026 at 23:59	-	AI allowed
Outcomes assessed:

Assessment summary

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.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Week 01	1. Introduction - flexural-torsional buckling; 2. Small and moderately large displacement theory for beams	Lecture (2 hr)
Week 01	1. Introduction - flexural-torsional buckling; 2. Small and moderately large displacement theory for beams	Tutorial (2 hr)
Week 02	1. Bifurcation, Euler columns; 2. Flexural-torsional buckling theory, buckling of columns	Lecture (2 hr)
Week 02	1. Bifurcation, Euler columns; 2. Flexural-torsional buckling theory, buckling of columns	Tutorial (2 hr)
Week 03	1. Flexural-torsional buckling of beams; 2. Design of columns and beams, AS4100 and AS/NZS4600	Lecture (2 hr)
Week 03	1. Flexural-torsional buckling of beams; 2. Design of columns and beams, AS4100 and AS/NZS4600	Tutorial (2 hr)
Week 04	1. Design examples for AS4100 and AS/NZS4600; 2. Revision - Flexural-torsional buckling	Lecture (2 hr)
Week 04	1. Design examples for AS4100 and AS/NZS4600; 2. Revision - Flexural-torsional buckling	Tutorial (2 hr)
Week 05	1. Steel structures in fire; 2. Connections, revision of basic individual connector capacities	Lecture (2 hr)
Week 05	1. Steel structures in fire; 2. Connections, revision of basic individual connector capacities	Tutorial (2 hr)
Week 06	1. Bolt group analysis; 2. Weld group analysis	Lecture (2 hr)
Week 06	1. Bolt group analysis; 2. Weld group analysis	Tutorial (2 hr)
Week 07	1. Web side plate connection; 2.Rigid bolted moment end plate connection	Lecture (2 hr)
Week 07	1. Web side plate connection; 2.Rigid bolted moment end plate connection	Tutorial (2 hr)
Week 08	1. Structural steel tubular and cold-formed connections; 2. Case study: steel gridshell design	Lecture (2 hr)
Week 08	1. Structural steel tubular and cold-formed connections; 2. Case study: steel gridshell design	Tutorial (2 hr)
Week 09	1. Direct design method, material nonlinear effects; 2. Design examples for advanced analysis	Lecture (2 hr)
Week 09	1. Direct design method, material nonlinear effects; 2. Design examples for advanced analysis	Tutorial (2 hr)
Week 10	1. Computer modelling of frames - elastic analysis; 2. Computer modelling of frames - 2nd order elastic analysis	Lecture (2 hr)
Week 10	1. Computer modelling of frames - elastic analysis; 2. Computer modelling of frames - 2nd order elastic analysis	Tutorial (2 hr)
Week 11	1. 2nd order, inelastic analysis - 1 (structural modelling); 2. 2nd order, inelastic analysis - 2 (specification)	Lecture (2 hr)
Week 11	1. 2nd order, inelastic analysis - 1 (structural modelling); 2. 2nd order, inelastic analysis - 2 (specification)	Tutorial (2 hr)
Week 12	1. Design examples for advanced analysis	Lecture (2 hr)
Week 12	1. Design examples for advanced analysis	Tutorial (2 hr)
Week 13	1. Case studies and DDM project; 2. Revision	Lecture (2 hr)
Week 13	1. Case studies and DDM project; 2. Revision	Tutorial (2 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.

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.

Outcomes
Graduate qualities

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

LO1. communicate solutions of complex problems related to the advanced analysis and design of steel structures through well-prepared and well-documented reports
LO2. apply sound knowledge of AS 4100 in the areas of section capacity determination of slender cross-sections, and flexural-torsional buckling of beams
LO3. apply sound knowledge of AS/NZS 4600 in the areas of section capacity determination of slender cross-sections, and flexural-torsional buckling of columns and beams
LO4. understand the behaviour and design of steel connections in open and hollow sections
LO5. demonstrate familiarity with the behaviour of steel structures at advanced level in selected areas, including design for flexural-torsional buckling of columns and beams
LO6. demonstrate knowledge of the use of FEM software in the design of structural systems
LO7. understand the theory for determining structural stability.

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

Responding to student feedback

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

The only change in 2026 is the weight of Assignment 1 (from 10% to 15%), Assignment 2 (from 10% to 15%) and Final exam (from 55% to 45%).

Disclaimer

Important: the University of Sydney regularly reviews units of study and reserves the right to change the units of study available annually. To stay up to date on available study options, including unit of study details and availability, refer to the relevant handbook.

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

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

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