CIV6888 · Advanced computational methods

Overview

This unit provides you with knowledge and skills in advanced numerical analysis and computational techniques for solving complex problems in infrastructure systems. The unit will begin with an introduction to the finite element method and then progress to more advanced topics in numerical modelling, focusing on geotechnical engineering. In addition to the essential theoretical concepts, the unit will include practical examples to provide hands-on experience in applying the concepts to engineering practice. Finally, the management, visualisation and analysis of large quantities of data will complete the necessary skillset for you to manage 21st-century infrastructure systems.

Offerings

Assessment

The Handbook lists an examination for this unit.

Continuous assessment: 70% Final assessment: 30% Final grades: PGO (pass grade only) or NGO (fail) 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 (NGO).

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

Requisites

Learning outcomes

1. Analyse stresses in soils and solids using computational methods.
2. Understand and apply suitable constitutive models for different material types.
3. Explain the theoretical basis behind the Finite Element Method (FEM) and Smoothed-Particle Hydrodynamics (SPH) method.
4. Apply FEM and SPH methods to practical problems in soil and solid mechanics.
5. Present, explain and interpret the computational analysis results to a technical audience.
6. Explain the suitable techniques for managing and visualising large quantities of data typical of infrastructure systems.

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.