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MEC4302 Computational Mechanics in Design

Semester 1, 2023 Springfield On-campus
Units : 1
School or Department : School of Engineering
Grading basis : Graded
Course fee schedule : /current-students/administration/fees/fee-schedules

Staffing

Course Coordinator:

Requisites

Pre-requisite: (MEC2304 and MEC2401 and MEC2402) or Students must be enrolled in one of the following Programs: GCEN or METC or MEPR or GCNS or GDNS or MENS

Overview

The structural integrity of a system can be readily determined using computational techniques, enabling more sophisticated designs than previously possible. This course provides students with the tools required to leverage these modern designs.

This course will provide students with an understanding of the operation and limitations of computer aided engineering (CAE) and analysis systems, and provide opportunities to develop the basic skills required to operate such systems. Material presented will include brief discussion on the architecture of CAE systems, numerical methods and finite element methods. The advantage of CAE analysis is demonstrated by several engineering assignments that students must complete on a CAE facility throughout the semester. Considerable emphasis is placed on the appropriate use of the finite element method in the design process.

Course learning outcomes

  1. Debate the concepts and principles used in the formulation and application of the finite element method;
  2. Evaluate engineering problems using the finite element method;
  3. Critique software packages to assist in the solution of a range of common engineering problems;
  4. Evaluate the performance of an existing design using computer aided engineering software, including validation of the solution.

Topics

Description Weighting(%)
1. CAD and Solid Modelling Systems 10.00
2. Fundamentals of the Finite Element Method 50.00
3. Applications of the Finite Element Method 40.00

Text and materials required to be purchased or accessed

Logan, DL 2016, A first course in the finite element method, SI, 6th edn, Cengage Learning, Stamford, CT.
(ISBN 9780495668275.)

Student workload expectations

To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.

Assessment details

Approach Type Description Group
Assessment
Weighting (%) Course learning outcomes
Assignments Written Problem Solving No 10 1,2,3
Assignments Written Report 1 No 20 1,2,3,4
Assignments Written Report 2 No 30 1,2,3,4
Examinations Non-invigilated Time limited online examinatn No 40 1,2,3
Date printed 9 February 2024