CIVL3205: Semester 1, 2020

University home

Library

Current students

Staff intranet

Find an event

Give

Current students

Units CIVL3205 Semester 1 2020 [Normal day]

Unit outline_

CIVL3205: Concrete Structures 1

Semester 1, 2020 [Normal day] - Camperdown/Darlington, Sydney

Overview

The objectives of this unit are to provide a basic understanding of the behaviour of reinforced concrete members and structures; to provide a basic understanding of standard methods of analysis and design of reinforced concrete structures (including an understanding of capabilities and limitations); and to provide basic design training in a simulated professional engineering environment. At the end of this unit students will gain proficiency in basic methods of reinforced concrete analysis and design. The syllabus covers the behaviour of reinforced concrete members and structures, including: material properties, 'elastic' analysis (stresses/deformations/time-dependence), ultimate strength of beams (flexure), ultimate strength of columns (short and slender), behaviour or reinforced concrete slabs, the reinforced concrete truss analogy (shear and detailing implications), design criteria (for durability, fire- resistance, serviceability and strength), design calculation procedures, reinforcement detailing and structural drawings.

Unit details and rules

Academic unit	Civil Engineering
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	CIVL2110 AND CIVL2201 AND (CIVL2230 OR CIVL1900). Basic concepts of solid mechanics and structural mechanics, including: compatibility of strains; stress-strain relationships; equilibrium; flexure, shear and torsion; statically determinate load effects (reactions, bending moments, shear forces); elastic beam theory (strains, stresses and beam deflections).
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Giulia Ulpiani, giulia.ulpiani@sydney.edu.au
Lecturer(s)	Gianluca Ranzi, gianluca.ranzi@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Assignment 1 Assignment 1	20%	Week 08	n/a
Outcomes assessed:
Assignment	Assignment 2 Assignment 2	40%	Week 10	n/a
Outcomes assessed:
Assignment	Assignment 3 Assignment 3	40%	Week 13	n/a
Outcomes assessed:

Assessment summary

Assignments 1, 2 and 3: Critical thinking of students related to the subject is expected and the application of knowledge gained from the lectures and tutorials will be tested through 3 assignments.

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.

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 to reinforced concrete structures, design requirements, design actions	Lecture and tutorial (5 hr)
Week 02	Introduction to cross-sectional analysis, introduction to the design process	Lecture and tutorial (5 hr)
Week 03	Cross-sectional analysis, practical design considerations	Lecture and tutorial (5 hr)
Week 04	Strength design of beams – moment capacity	Lecture and tutorial (5 hr)
Week 05	Service design of beams, deflection and crack control	Online class (4 hr)
Week 06	Strength design of beams – shear capacity	Online class (4 hr)
Week 07	Influence of costing in structural design of concrete structures, introduction to design responsibilities of engineers in the context of concrete structures	Online class (3 hr)
Week 08	Analysis and design of 1-way and 2-way slabs	Online class (4 hr)
Week 09	Analysis and design of flat slabs, punching shear	Online class (4 hr)
Week 10	Analysis and design of columns	Online class (4 hr)
Week 11	Analysis and design of columns, design considerations for fire	Online class (4 hr)
Week 12	Analysis and design of footings	Online class (4 hr)
Week 13	Overview of site inspections, general review	Online class (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

• AS3600:2018 Concrete Structures. Standards Australia

• Beletich AS, Hymas I, Reid S and Uno P (2015) Reinforced Concrete – The Designers Handbook, Baulkham Hills, NSW : Cement & Concrete Services [Hardcopy from SciTech Library: General 624.18341 68]

• Warner RF, Rangan BV, Hall AS and Faulkes KA (1998) Concrete Structures, South Melbourne : Longman [Hardcopy from SciTech Library: General 620.137 55]

• Foster S, Kilpatrick A, Warner RF (2010) Reinforced concrete basics 2E: analysis and design of reinforced concrete structures [Hardcopy from SciTech Library: General 624.18341 56 A]

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. Develop critical thinking and problem solving skills
LO2. Familiarize with the behaviour of reinforced concrete structures, notably the failure mechanisms for members under individual and combined actions
LO3. Understand theoretical concepts and engineering fundamentals for the calculation procedures used in reinforced concrete analysis and design
LO4. Examine and utilize source documents information (codes, drawings …)
LO5. Understand and apply calculation procedures required for reinforced concrete analysis and design
LO6. Understand and apply engineering principles to solve design problems
LO7. Perform basic reinforced concrete design of beams, slabs, columns and footings with reference to applicable standards

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.

Greater emphasis has been placed in establishing a link between the fundamental understanding of the behaviour of reinforced concrete structures and their design requirements and methodologies

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

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect