ENGSCI 746 : Advanced Modelling and Simulation in Computational Mechanics

Engineering

2025 Semester Two (1255) (15 POINTS)

Course Prescription

Solution of real-world continuum mechanics problems using computational tools commonly used in engineering practice. Develops skills in analysing complexity; selecting a model representation of the physical problem; choosing the correct computational tool to solve the model; designing and executing appropriate numerical experiments; validating, interpreting and communicating simulation results. Advanced solver methods, and modelling of advanced materials such as large-deformation elastic/plastic materials.

Course Overview

This course is structured as 18 lectures (including 2 from guest lecturers) and 7 two-hour compulsory tutorials (with an additional three optional drop in tutorials for project work). The two lectures each week are followed by a two hour tutorial that enables hands-on application of the new knowledge, using Ansys structural finite element and computational fluid dynamics software. The skills learnt are applied to an individual project that runs throughout the course focused on solving real-world structural mechanics and fluid dynamics problems. Assessment is 50% by course work (Project), 50% by examination. The course work includes completion of tutorials, two reports at different stages of the project and a final presentation of the project results.

This course is a postgraduate version of ENGSCI344 and shares lectures and other content with ENGSCI344. This course is assessed at a more advanced level by requiring the completion of three ranges of the design project reports. 

Course Requirements

Prerequisite: BIOMENG 321 or ENGSCI 343 Restriction: ENGSCI 344

Capabilities Developed in this Course

Capability 1: People and Place
Capability 2: Sustainability
Capability 3: Knowledge and Practice
Capability 4: Critical Thinking
Capability 6: Communication

Learning Outcomes

By the end of this course, students will be able to:
  1. Design a computational approach to solve a real physical problem including making correct decisions around what questions need answering and what type of simulation is the correct tool to answer those questions, scoping out the size of the problem, and identifying the scale of the simulations and types of inputs needed to find the answers. (Capability 1.1)
  2. Create and import geometry for numerical models, including understanding the options and approaches for geometry creation and importation. (Capability 2.1, 3.1 and 3.2)
  3. Demonstrate verbal, written, and interpersonal communication skills, at a level where you can communicate knowledge clearly and succinctly. Communicate results of numerical models in reports and presentations including knowing the key information to include and how to effectively document and present. (Capability 1.1 and 6.1)
  4. Integrate sustainability and environmental considerations into computational engineering. This will develop skills in: analysing complexity and selecting an appropriate model representation of the physical problem; choosing the correct computational tool with which to solve the model; designing and executing appropriate numerical experiments using the chosen tool; validating, interpreting and communicating the simulation results. Enhance skills in sustainable decision-making and addressing environmental challenges. (Capability 2.1)
  5. Define appropriate physical models that include appropriate physical equations for the problem being studied and identify their advantages / disadvantages. (Capability 3.1, 3.2, 4.1 and 4.2)

Assessments

Assessment Type Percentage Classification
Quizzes and Presentations 20% Individual Coursework
Final Exam 40% Individual Examination
Project Reports 40% Individual Coursework
Assessment Type Learning Outcome Addressed
1 2 3 4 5
Quizzes and Presentations
Final Exam
Project Reports
Students must sit the exam to pass the course. Otherwise, a DNS (did not sit) result will be returned. The exam mode is expected to be Mode C: in-person, on paper.
Late Policy: assignments are penalised at 4% of the total mark for each hour

Workload Expectations

This course is a standard 15 point course and students are expected to spend 10 hours per week for a total of 150 hours.

For this course, you can expect an average weekly workload comprising 2 hours of lectures, a 2 hour tutorial, 3 hours of reading and thinking about the content, and 3 hours of work on assignments, project.

Delivery Mode

Campus Experience

Attendance is required at scheduled activities including tutorials to receive credit for components of the course.

Lectures will be available as recordings.

The activities for the course are scheduled as a standard weekly timetable delivery.

Learning Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.

Health & Safety

Students must ensure they are familiar with their Health and Safety responsibilities, as described in the university's Health and Safety policy

Student Feedback

At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.

Your feedback helps teachers to improve the course and its delivery for future students.

Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.

Based on the 2024 SET Evaluations, tutorials are being updated to more closely address specific skills required for the project, particularly in regard to geometry creation and meshing of complex geometries. Piazza will be used to provide quicker reponses to student questions. Additional resources are being made available to ensure quicker marking and feedback for the intermediate report submissions.

Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework, tests and examinations as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. A student's assessed work may be reviewed against electronic source material using computerised detection mechanisms. Upon reasonable request, students may be required to provide an electronic version of their work for computerised review.

Class Representatives

Class representatives are students tasked with representing student issues to departments, faculties, and the wider university. If you have a complaint about this course, please contact your class rep who will know how to raise it in the right channels. See your departmental noticeboard for contact details for your class reps.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website http://disability.auckland.ac.nz

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Learning Continuity

In the event of an unexpected disruption we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and your assessment is fair, and not compromised. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator, and if disruption occurs you should refer to the University Website for information about how to proceed.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html.

Disclaimer

Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course you may be asked to submit your coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.

Published on 09/12/2024 06:43 a.m.