Course Coordinator:Tongfei Tian (ttian@usc.edu.au) School:School of Science, Technology and Engineering
UniSC Sunshine CoastUniSC Moreton Bay |
Blended learning | Most of your course is on campus but you may be able to do some components of this course online. |
Please go to usc.edu.au for up to date information on the
teaching sessions and campuses where this course is usually offered.
Computer aided engineering (CAE) is now a common step in the design of engineering structures. This course builds on the knowledge and skills gained in Mechanics of Materials and Engineering Dynamics. You will gain knowledge of the operation and limitations of CAE systems and develop the skills required to design such structures and systems. The material presented includes a brief discussion on the architecture of CAE systems, numerical methods and finite element methods. Considerable emphasis is placed on the appropriate use of the finite element method in the design process.
Activity | Hours | Beginning Week | Frequency |
Blended learning | |||
Learning materials – Asynchronous weekly learning material | 1hr | Week 1 | 13 times |
Laboratory 1 – On campus | 3hrs | Week 1 | 13 times |
Topics may include:
400 Level (Graduate)
12 units
Course Learning Outcomes On successful completion of this course, you should be able to... | Graduate Qualities Mapping Completing these tasks successfully will contribute to you becoming... | Professional Standard Mapping * Engineers Australia Stage 1 Professional Engineer Competency Standards | |
1 | Develop comprehensive knowledge of the mathematical representation and principles of computational modelling techniques. | Knowledgeable |
1, 1.2.a, 1.2 |
2 | Investigate new developments and/or applications of various computational techniques in engineering problem solving. | Knowledgeable |
1, 1.4.a, 1.4 |
3 | Formulate simple computational analysis models and fluently apply them to problem solving. | Creative and critical thinker |
2, 2.1.a, 2.1 |
4 | Construct computational analysis models to solve engineering problems and assess and justify the reliability of simulated results. | Creative and critical thinker |
2, 2.1.a, 2.1.b, 2.1 |
5 | Apply computational analysis as a tool to synthesise optimal design solutions for real engineering applications. | Empowered |
2, 2.3.a, 2.3 |
6 | Effectively and professionally communicate literature review findings and problem solving outcomes of computational analysis through written reports. | Engaged |
3, 3.2.b, 3.2 |
CODE | COMPETENCY |
Engineers Australia Stage 1 Professional Engineer Competency Standards | |
1 | Elements of competency: Knowledge and Skill Base |
1.2.a | Knowledge and Skill Base - Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline: Develops and fluently applies relevant investigation analysis, interpretation, assessment, characterisation, prediction, evaluation, modelling, decision making, measurement, evaluation, knowledge management and communication tools and techniques pertinent to the engineering discipline. |
1.4.a | Knowledge and Skill Base - Discernment of knowledge development and research directions within the engineering discipline: Identifies and critically appraises current developments, advanced technologies, emerging issues and interdisciplinary linkages in at least one specialist practice domain of the engineering discipline. |
1.2 | Knowledge and Skill Base: Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline. |
1.4 | Knowledge and Skill Base: Discernment of knowledge development and research directions within the engineering discipline. |
2 | Elements of competency: Engineering Application Ability |
2.1.a | Engineering Application Ability - Application of established engineering methods to complex engineering problem solving: Identifies, discerns and characterises salient issues, determines and analyses causes and effects, justifies and applies appropriate simplifying assumptions, predicts performance and behaviour, synthesises solution strategies and develops substantiated conclusions. |
2.1.b | Engineering Application Ability - Application of established engineering methods to complex engineering problem solving: Ensures that all aspects of an engineering activity are soundly based on fundamental principles - by diagnosing, and taking appropriate action with data, calculations, results, proposals, processes, practices, and documented information that may be ill-founded, illogical, erroneous, unreliable or unrealistic. |
2.3.a | Engineering Application Ability - Application of systematic engineering synthesis and design processes: Proficiently applies technical knowledge and open ended problem solving skills as well as appropriate tools and resources to design components, elements, systems, plant, facilities and/or processes to satisfy user requirements. |
2.1 | Engineering Application Ability: Application of established engineering methods to complex engineering problem solving. |
2.3 | Engineering Application Ability: Application of systematic engineering synthesis and design processes. |
3 | Elements of competency: Professional and Personal Attributes |
3.2.b | Professional and Personal Attributes - Effective oral and written communication in professional and lay domains: Prepares high quality engineering documents such as progress and project reports, reports of investigations and feasibility studies, proposals, specifications, design records, drawings, technical descriptions and presentations pertinent to the engineering discipline. |
3.2 | Professional and Personal Attributes: Effective oral and written communication in professional and lay domains. |
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
Enrolled in GC002, GD002, MC002, GC003, GD003, MC003, GC006, GD006, MC006, SC410 or SC411
Not applicable
MEC303 or ENG303
Not applicable
Standard Grading (GRD)
High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL). |
Early feedback will be provided through the completion of weekly activities in the laboratories. Furthermore, feedback on each assessment will be provided which will be used to help with the following assessment.
Delivery mode | Task No. | Assessment Product | Individual or Group | Weighting % | What is the duration / length? | When should I submit? | Where should I submit it? |
All | 1 | Quiz/zes | Individual | 30% | 1 hour for each quiz |
Throughout teaching period (refer to Format) | Online Assignment Submission with plagiarism check |
All | 2 | Written Piece | Individual | 30% | 1500 words |
Week 9 | Online Assignment Submission with plagiarism check |
All | 3 | Report | Individual | 40% | 2000 words |
Week 13 | Online Assignment Submission with plagiarism check |
All - Assessment Task 1:In-tutorial Quizzes | |
Goal: | The goal of this task is to demonstrate your understanding of discretisation and finite elements and use this knowledge to solve structural problems. |
Product: | Quiz/zes |
Format: | Quizzes. Submission weeks: Week 4, week 8, week 12. |
Criteria: |
|
All - Assessment Task 2:FEA Problems with simple systems | |
Goal: | The goal is to apply engineering theory to evaluate simple systems and propose and justify solutions to structural problems. |
Product: | Written Piece |
Format: | You will be given a set of problems representing a system of static structure. You will analyse the system using the finite element method and a CAE tool. This includes the accurate use of discretisation and analysis of stress and strain. The analysis will assist you to formulate possible solutions for improvement to the structure |
Criteria: |
|
All - Assessment Task 3:Mini Project | |
Goal: | The goal is to evaluate the performance of an existing design using computer-aided engineering software to evaluate the validity of the model and solution in relation to the original problem specification |
Product: | Report |
Format: | You will provide a written report detailing: Solid computer model application of stress and thermal stress design specification |
Criteria: |
|
A 12-unit course will have total of 150 learning hours which will include directed study hours (including online if required), self-directed learning and completion of assessable tasks. Student workload is calculated at 12.5 learning hours per one unit.
Period and Topic | Activities |
1 |
Revising mechanics of materials concepts |
2 |
Review of Matrix notation |
3 |
Finite element methods |
4 |
Stiffness and displacement |
5 |
Stiffness and displacement |
6 |
Adapting problems for computer solution |
7 |
Truss analysis using stiffness method |
8 |
Beam analysis using stiffness method |
9 |
Frame and Grid equations |
10 |
Plane stress and plane strain stiffness equations |
11 |
FEM of plane stress and plane strain |
12 |
Thermal stress and FEM |
13 |
Review |
Please note: Course information, including specific information of recommended readings, learning activities, resources, weekly readings, etc. are available on the course Canvas site– Please log in as soon as possible.
Please note that you need to have regular access to the resource(s) listed below. Resources may be required or recommended.
Required? | Author | Year | Title | Edition | Publisher |
Recommended | Daryl L. Logan | 2016 | A First Course in the Finite Element Method, SI Edition | 6th Ed | Cengage Learning |
N/A
Academic integrity is the ethical standard of university participation. It ensures that students graduate as a result of proving they are competent in their discipline. This is integral in maintaining the value of academic qualifications. Each industry has expectations and standards of the skills and knowledge within that discipline and these are reflected in assessment.
Academic integrity means that you do not engage in any activity that is considered to be academic fraud; including plagiarism, collusion or outsourcing any part of any assessment item to any other person. You are expected to be honest and ethical by completing all work yourself and indicating in your work which ideas and information were developed by you and which were taken from others. You cannot provide your assessment work to others. You are also expected to provide evidence of wide and critical reading, usually by using appropriate academic references.
In order to minimise incidents of academic fraud, this course may require that some of its assessment tasks, when submitted to Canvas, are electronically checked through Turnitin. This software allows for text comparisons to be made between your submitted assessment item and all other work to which Turnitin has access.
Your eligibility for supplementary assessment in a course is dependent of the following conditions applying: The final mark is in the percentage range 47% to 49.4% The course is graded using the Standard Grading scale You have not failed an assessment task in the course due to academic misconduct
Late submission of assessment tasks may be penalised at the following maximum rate: - 5% (of the assessment task's identified value) per day for the first two days from the date identified as the due date for the assessment task. - 10% (of the assessment task's identified value) for the third day - 20% (of the assessment task's identified value) for the fourth day and subsequent days up to and including seven days from the date identified as the due date for the assessment task. - A result of zero is awarded for an assessment task submitted after seven days from the date identified as the due date for the assessment task. Weekdays and weekends are included in the calculation of days late. To request an extension you must contact your course coordinator to negotiate an outcome.
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