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Unit outline_

CIVL5458: Numerical Methods in Civil Engineering

Semester 1, 2022 [Normal day] - Camperdown/Darlington, Sydney

The objective of this unit is to provide students with fundamental knowledge of finite element analysis and how to apply this knowledge to the solution of civil engineering problems at intermediate and advanced levels. At the end of this unit, students should acquire knowledge of methods of formulating finite element equations, basic element types, the use of finite element methods for solving problems in structural, geotechnical and continuum analysis and the use of finite element software packages. The syllabus comprises introduction to finite element theory, analysis of bars, beams and columns, and assemblages of these structural elements; analysis of elastic continua; problems of plane strain, plane stress and axial symmetry; use, testing and validation of finite element software packages; and extensions to apply this knowledge to problems encountered in engineering practice. On completion of this unit, students will have gained the following knowledge and skills: 1. Knowledge of methods of formulating finite element equations. This will provide students with an insight into the principles at the basis of the FE elements available in commercial FE software. 2. Knowledge of basic element types. Students will be able to evaluate the adequacy of different elements in providing accurate and reliable results. 3. Knowledge of the use of finite element methods for solving problems in structural and geotechnical engineering applications. Students will be exposed to some applications to enable them to gain familiarity with FE analyses. 4. Knowledge of the use of finite element programming and modeling. 5. Extended knowledge of the application of FE to solve civil engineering problems.

Unit details and rules

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

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Fernando Alonso-Marroquin, fernando.alonso@sydney.edu.au
Tutor(s) Faham Tahmasebinia, faham.tahmasebinia@sydney.edu.au
Type Description Weight Due Length
Assignment group assignment Computer assignments
Strand7 computer assignments to be distributed throughout the semester.
20% Multiple weeks n/a
Outcomes assessed: LO2 LO6 LO5 LO4 LO3
Tutorial quiz Quiz
Evaluation of theoretical and computational knowledge in finite elements.
30% Multiple weeks n/a
Outcomes assessed: LO3 LO6 LO4
Assignment Homework
four pen-and-paper homework distributed along the semester.
10% Multiple weeks n/a
Outcomes assessed: LO3 LO4 LO6
Presentation group assignment Project brief Presentation
Video presentation made by all students.
10% Week 10 n/a
Outcomes assessed: LO1 LO4 LO5
Assignment Report
Technical report on finite element analysis.
15% Week 12 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6
Presentation Individual contribution
Evaluation of intellectual contribution to the project..
15% Week 13 10-20 minutes
Outcomes assessed: LO1 LO6 LO5 LO4 LO3 LO2
group assignment = group assignment ?

Assessment summary

4 Individual homework assignments.

4 Group computer assignments.

1 Theoretical quiz to assess the knowledge delivered by the theoretical lectures and homework assignments.

1 Strand7 quiz to assess the use of finite element modelling learnt in the computer assignments.

1 Final project to bring together both theoretical finite element modelling and use of commercial software in the modelling of real engineering structures.

 

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 numerical modeling; Finite element concepts. Lecture (1 hr) LO3 LO4 LO6
Bar and beam frames using STRAND7 Lecture and tutorial (1 hr) LO2 LO4 LO5
Week 02 The beam element Lecture (1 hr) LO6
Modelling of bridges using STRAND7 Lecture and tutorial (1 hr) LO5
Week 03 Stress and strain in continua, plane elasticity, Lecture (1 hr) LO4 LO6
Cantilever beam using STRAND7 Lecture and tutorial (1 hr) LO3 LO5
Week 04 Bending of beam and plates Lecture (1 hr) LO1 LO4
Pre-stressed cantilevers using STRAND7 Lecture and tutorial (1 hr) LO3 LO4
Week 05 Elastic solutions Lecture (1 hr) LO4 LO6
Plane elasticity using STRAND7 Lecture and tutorial (1 hr) LO3 LO4 LO5
Week 06 Isoparametric elements Lecture (1 hr) LO3 LO4 LO5
Plate with hole using STRAND7 Lecture and tutorial (1 hr) LO3 LO4 LO5
Week 07 Thermal analysis Lecture (1 hr) LO3 LO5 LO6
Thermal analysis using STRAND7 Lecture and tutorial (1 hr) LO3 LO4 LO5
Week 08 Dynamics of structures Lecture (1 hr) LO3
Dynamics of Structures using STRAND7 Lecture and tutorial (1 hr) LO3 LO4 LO5
Week 09 Project brief presentation Presentation (1 hr) LO1 LO2
Introduction to ABAQUS I Lecture and tutorial (1 hr) LO3 LO5 LO6
Week 10 Final project One-to-one tuition (1 hr) LO1 LO3 LO5
Introduction to ABAQUS II Lecture and tutorial (1 hr) LO3 LO4 LO5
Week 11 Strength of materials Lecture (1 hr) LO3 LO5
Week 12 Final report One-to-one tuition (1 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 13 individual sustentation One-to-one tuition (1 hr) LO1 LO2 LO3 LO4 LO5 LO6
feedback on the final report One-to-one tuition (1 hr) LO1 LO2 LO3 LO4 LO5 LO6

Attendance and class requirements

Lectures will be pre-recorded.

Interacting theoretical sessions on Monday 11 AM – 1PM

Interacting computational sessions on Wednesday 11 AM – 13 PM

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

·      Fernando Alonso-Marroquin, Finite Element Modelling for Civil Engineering (3st), The University of Sydney, Quantumfi Publisher, 2016.

·      T.R Chandrupatla, A.D Belegundu, Introduction to Finite Elements in Engineering (Fourth Edition). New Jersey, USA, Pearson, 2012. 0-13-216274-1.

·      Daryl L. Logan, A First Course in the Finite Element Method (Fifth Edition). Stanford, USA, Cengage Learning, 2012. 0-495-66827-3. Theoretical Manual - Theoretical background to the Strand7, finite element analysis system (Edition 1). Sydney, Australia, Strand7, 2005. 0-957-73452-2.

·      Using Strand7 - Introduction to the Strand7 Finite Element Analysis System (3). Sydney, Strand7, 2010. 0-646-37288-2.

·      Fernando Alonso-Marroquin, Faham Tahmasebinia, Peter Ansourian, Numerical Methods of Civil Engineering, Landmark Projects 2015, The University of Sydney, Quamtumfi Publisher ISBN: 978-0-9944287-5-2, 2015.

·      Fernando Alonso-Marroquin.  Numerical Methods of Civil Engineering, Dynamics of Structures 2016, The University of Sydney, Quamtumfi Publisher ISBN: 978-0-9944287-3-8, 2016. Available online on http://scitation.aip.org/content/aip/proceeding/aipcp/1762

·      Strand7 Webnotes.  http://www.strand7.com/webnotes/  Please browse the webnotes and  request pdf  to the lecturer.

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. interpret Finite Element analysis results via oral presentations and question and answer sessions
  • LO2. write technical reports on Finite Element analysis
  • LO3. solve problems in civil engineering applications using Finite Element methods
  • LO4. evaluate the adequacy of different element types in providing accurate and reliable results
  • LO5. model and solve civil engineering problems by using Finite Element software
  • LO6. formulate equations based on the principles at the basis of the FE elements available in commercial FE software.

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

Alignment with Competency standards

Outcomes Competency standards
LO1
National Standard of Competency for Architects - AACA
1. Design: Project briefing
1.1. Preparation & endorsement of an agreement between client and Architect. This agreement will clearly communicate terms, services to be provided, and fees appropriate for the scale and type of project.
1.2. Establishment, analysis and evaluation of client project requirements and objectives.
1.4. Identification of factors that may impact on client project requirements and objectives.
1.6. Selection and presentation to clients and relevant stakeholders of procurement method for the project.
2. Design: Pre-Design
LO2
National Standard of Competency for Architects - AACA
1. Design: Project briefing
2. Design: Pre-Design
2.1. Identification, analysis and integration of information relevant to siting of project.
2.2. Application of principles controlling planning, development and design for the project site.
2.3. Evaluation of factors influencing and impacting on project cost.
LO3
National Standard of Competency for Architects - AACA
1.2. Establishment, analysis and evaluation of client project requirements and objectives.
1.3. Assessment of project budget and timeframe against project requirements and objectives.
1.4. Identification of factors that may impact on client project requirements and objectives.
1.5. Knowledge of different procurement processes available and evaluation of the impact these have on the project.
1.6. Selection and presentation to clients and relevant stakeholders of procurement method for the project.
1.7. Preparation of project brief for approval by client and relevant stakeholders.
LO4
National Standard of Competency for Architects - AACA
1. Design: Project briefing
1.5. Knowledge of different procurement processes available and evaluation of the impact these have on the project.
2. Design: Pre-Design
LO5
National Standard of Competency for Architects - AACA
1.2. Establishment, analysis and evaluation of client project requirements and objectives.
1.4. Identification of factors that may impact on client project requirements and objectives.
1.5. Knowledge of different procurement processes available and evaluation of the impact these have on the project.
2.3. Evaluation of factors influencing and impacting on project cost.
LO6
National Standard of Competency for Architects - AACA
1.2. Establishment, analysis and evaluation of client project requirements and objectives.
1.5. Knowledge of different procurement processes available and evaluation of the impact these have on the project.
2.1. Identification, analysis and integration of information relevant to siting of project.
2.3. Evaluation of factors influencing and impacting on project cost.

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

No significant changes have been made since this unit was last offered

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