Outline

Overview

This Unit covers: a) Principles of the design of cold-formed steel structural members, where reference is made to the Australian Standard AS/NZS4600, explaining the underlying theory for its provisions; and b) The behaviour of steel columns under transverse impact loads, where reference is made to design procedures established in the research literature. The objectives are to provide students with advanced knowledge of steel structural design and confidence to apply the underlying principles to solve a wide range of structural steel problems. This Unit will provide students with the following knowledge and skills: An understanding of the basic principles of reliability based design on steel structures; An understanding of the relationship between structural analysis and design provisions; An understanding of the background to the design provisions for cold-formed steel structures; Proficiency in applying the provisions of AS/NZS4600 to columns and beams; An understanding of the behaviour of steel columns under transverse impact; Proficiency in performing structural analyses of steel columns subjected to transverse impact loads. Syllabus Summary: Limit states design philosophy and approaches, Loading standards, Methods of analysis, Interrelationship between analysis and design, Flexural members section and member capacity, Compression members section and member capacity, Plastic collapse mechanisms and Impact resistance, of structural steel members.

Unit details and rules

Academic unit	Civil Engineering
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	CIVL5267
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Mike Bambach, mike.bambach@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Engineering judgement Take-home short release assignment	20%	Formal exam period Due date: 11 Jun 2023 at 23:59	Short release (7 days)
Outcomes assessed:
Assignment	EWM assignment EWM assignment	20%	Week 05 Due date: 26 Mar 2023 at 23:59	n/a
Outcomes assessed:
Assignment	DSM assignment DSM assignment	20%	Week 08 Due date: 23 Apr 2023 at 23:59	n/a
Outcomes assessed:
Assignment	Impact assignment Impact assignment	20%	Week 12 Due date: 21 May 2023 at 23:59	n/a
Outcomes assessed:
Online task	Online quiz Canvas quiz completed remotely or on campus	20%	Week 13 Due date: 23 May 2023 at 23:59	1 hour
Outcomes assessed:

Assessment summary

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	Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Distinction	75 - 84	Awarded when you demonstrate the learning outcomes for the unit at a very high standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Credit	65 - 74	Awarded when you demonstrate the learning outcomes for the unit at a good standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Pass	50 - 64	Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
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.

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	Effective width design to AS/NZS4600	Lecture and tutorial (3 hr)
Week 02	Effective width design to AS/NZS4600	Lecture and tutorial (3 hr)
Week 03	Effective width design to AS/NZS4600	Lecture and tutorial (3 hr)
Week 04	Effective width design to AS/NZS4600	Lecture and tutorial (3 hr)
Week 05	DSM design to AS/NZS4600	Lecture and tutorial (3 hr)
Week 06	DSM design to AS/NZS4600	Lecture and tutorial (3 hr)
Week 07	DSM design to AS/NZS4600	Lecture and tutorial (3 hr)
Week 08	Impacts on steel structures	Lecture and tutorial (3 hr)
Week 09	Impacts on steel structures	Lecture and tutorial (3 hr)
Week 10	Impacts on steel structures	Lecture and tutorial (3 hr)
Week 11	Impacts on steel structures	Lecture and tutorial (3 hr)
Week 12	Impacts on steel structures	Lecture and tutorial (3 hr)
Week 13	Online Quiz	Online class (1 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. understand the relationship between structural analysis and design provisions
LO2. understand the background to the design provisions for cold-formed steel structures
LO3. understand the behaviour of steel columns under transverse impact
LO4. demonstrate proficiency in applying the provisions of AS/NZS4600 to columns and beams
LO5. demonstrate proficiency in performing structural analyses of steel columns subjected to transverse impact loads

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.

No changes have been made since this unit was last offered

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

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

CIVL6267: Steel Structures - Adv Analysis and Design

Semester 1, 2023 [Normal evening] - Remote

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

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect