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Unit outline_

CIVL6669: Applied Fluid Engineering Computing

Semester 2, 2023 [Normal evening] - Camperdown/Darlington, Sydney

The objective of this unit is to provide students with advanced knowledge of Computational Fluid Dynamics (CFD) techniques and skills in solving thermal fluid flow problems relevant to Civil and Environmental Engineering applications. Students will also gain experience in using a state-of-the-art commercial CFD package and advanced understanding of a range of engineering problems through working on projects.

Unit details and rules

Academic unit Civil Engineering
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
CIVL5669
Assumed knowledge
? 

CIVL3612 or CIVL9612

Available to study abroad and exchange students

No

Teaching staff

Coordinator Chengwang Lei, chengwang.lei@sydney.edu.au
Type Description Weight Due Length
Assignment hurdle task Project 1
Take-home assignment
30% Mid-semester break
Due date: 01 Oct 2023 at 23:00
4 weeks
Outcomes assessed: LO1 LO6 LO5 LO4 LO3 LO2
Assignment hurdle task Assignment
Take-home assignment
20% Week 04
Due date: 27 Aug 2023 at 23:00
2 weeks
Outcomes assessed: LO1 LO3
Presentation Project 2 presentation
A short presentation on Project 2
15% Week 13
Due date: 01 Nov 2023 at 17:00
15 minutes
Outcomes assessed: LO1 LO6 LO5 LO4 LO3 LO2
Assignment hurdle task Project 2
Take-home assignment
35% Week 13
Due date: 05 Nov 2023 at 23:00
4 weeks
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
hurdle task = hurdle task ?

Assessment summary

Assignment: Demonstration of basic CFD approach and procedures through solving a simple partial differential equation and working on a test case.

Project 1: Using CFD tools to solve a self-selected fluid flow problem relevant to Special Topic 1. A simple laminar flow model is acceptable.

Project 2: Using CFD tools to solve a complex fluid flow problem relevant to Special Topics 2 or 3.

Project 2 presentation: A verbal presentation on various aspects of Project 2.

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.

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 Introduction to CFD Lecture and tutorial (2 hr) LO1
Week 02 Basic CFD approaches Lecture and tutorial (2 hr) LO1 LO3
Week 03 Boundaries and boundary conditions Lecture and tutorial (2 hr) LO1 LO3 LO4
Week 04 Special topic 1: Plumes, jets and fountains Lecture and tutorial (2 hr) LO3 LO4 LO5 LO6
Week 05 Numerical accuracy and stability Lecture and tutorial (2 hr) LO1 LO3
Week 06 Verification, validation and best practice guide Lecture and tutorial (2 hr) LO1 LO3 LO4
Week 07 Special topic 2: Mixing and transport in water bodies Lecture and tutorial (2 hr) LO2 LO3 LO4 LO5 LO6
Week 08 Introduction and description of turbulent flows Lecture and tutorial (2 hr) LO1 LO2 LO3
Week 09 Special topic 3: Environmental load on structures Lecture and tutorial (2 hr) LO2 LO3 LO4 LO5 LO6
Week 10 Direct numerical simulation Lecture and tutorial (2 hr) LO1 LO2 LO3 LO5
Week 11 RANS turbulence models Lecture and tutorial (2 hr) LO1 LO2 LO3 LO5
Week 12 Large eddy simulation Lecture and tutorial (2 hr) LO1 LO2 LO3 LO5
Week 13 Review and presentation Lecture and tutorial (2 hr) LO1 LO2 LO3 LO4 LO5 LO6

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.

  • J.H. Ferziger & M. Peric – Computational Methods for Fluid Dynamics. Springer, 2002

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. demonstrate an advanced understanding of CFD procedures through both in-class and self learning
  • LO2. demonstrate an understanding of advanced CFD approaches for dealing with turbulent and complex fluid flows
  • LO3. use a state-of-the-art commercial CFD package to solve engineering problems
  • LO4. formulate and solve engineering problems using CFD tools
  • LO5. present CFD based solutions and analyses through technical reports
  • LO6. demonstrate an advanced understanding of a range of fluid flow problems relevant to civil and environmental engineering applications

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.

The weekly activities have been re-ordered for the benefit of spreading out the corresponding assessments througout the semester. A new assessment type, i.e., presentation, has been introduced to evaluate individual's understanding and oral communication skills.

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.