Monash University Handbook 2010 Undergraduate - Unit

Synopsis

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.

Objectives

On successful completion of this course students will:

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. for a given problem in materials science and engineering, understand exactly which types of modelling approaches could provide helpful insight to the problem, and experience formulating a model for the problem, simulating results and analysing the outcomes.

Assessment

Minor Assignment: 15%
Test: 15%
Major Assignment: 40%
Examination (2 hours): 30%

Chief examiner(s)

Professor George Simon

Contact hours

3 hours lecture/tutorial classes, 2 hours practice class and 7 hours of private study per week

Prerequisites

MTE3547 or MSC3142

Prohibitions

MTE3590