CIVL6669: Semester 2, 2021

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Units CIVL6669 Semester 2 2021 [Normal evening]

Unit of study_

CIVL6669: Applied Fluid Engineering Computing

Semester 2, 2021 [Normal evening] - Remote

Overview

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

Unit code	CIVL6669
Academic unit	Civil Engineering
Credit points	6
Prohibitions ?	CIVL5669
Prerequisites ?	None
Corequisites ?	None
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	Assignment Take-home assignment	20%	Week 05	2 weeks
Outcomes assessed:
Assignment	Project 1 Take-home assignment	30%	Week 09	4 weeks
Outcomes assessed:
Presentation	Project 2 presentation A short presentation on Project 2	15%	Week 13	15 minutes
Outcomes assessed:
Assignment	Project 2 Take-home assignment	35%	Week 13	4 weeks
Outcomes assessed:
= hurdle task ?

Assessment summary

Assignment: Demonstration of basic CFD approach and procedures through solving a simple 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 sydney.edu.au/students/guide-to-grades.

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.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

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

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

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. 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
Learning outcomes

Responding to student feedback

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.

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

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