MTE4590 · Modelling of materials: From continuum to quantum

Overview

An introduction to the computational/modelling approaches currently available in materials science and engineering is provided. The reasons for using modelling approaches are discussed and the different types of models available are outlined. For each of the length scales important in understanding material behaviour (nano-, micro-, meso- and macro-), the available modelling techniques are outlined and their principles, methods of implementation, advantages, disadvantages and perceived future developments are discussed. Examples of modelling approaches will be selected from all classes of materials. The general methodology used for constructing models is emphasised.

Areas of study: Minor: Computational engineering

Offerings

Assessment

The Handbook lists an examination for this unit.

Continuous assessment: 70% Final assessment: 30% This unit contains hurdle requirements that you must achieve to be able to pass the unit. You are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final assessment component. The consequence of not achieving a hurdle requirement is a fail grade (NH) and a maximum mark of 45 for the unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. understand the role (and potential role) of modelling and simulation in understanding material behaviour;
2. appreciate the different types of modelling approaches that can be used (empirical, semi-empirical, physically-based, etc) and the advantages and disadvantages of each;
3. understand the methodology used to construct and test models in materials science and engineering;
4. understand the general principles, advantages and disadvantages underlying the most common modelling techniques used in materials science and engineering and the time and length scale at which they are applicable;
5. experience formulating a model, simulating results and analysing outcomes for a given problem in materials science and engineering.

Workload

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.

Student experience, not official rules. Nothing here changes what the Handbook says.