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Found 5 matching student topics

Displaying 1–5 of 5 results

Developing models of failure for porous materials

The field of fracture mechanics effectively models failure of sharp flaws (e.g., cracks). However, when modelling porous materials we'd like to develop more of an understanding of how stresses are concentrated around smooth flaws in the material (i.e., rounded pores).In this project we'll start to build such an understanding, starting from simple U shaped notches.

Study level
Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Mathematical Sciences
Research centre(s)

GPU acceleration for the lattice Boltzmann method

The lattice Boltzmann method has recently gained popularity for modelling complex fluid​ dynamics including in microfluidics and bio-engineering. The method is computationally expensive, especially for 3D calculations.The aim of this project is to develop codes for the Lattice Boltzmann method that utilise the parallelism of graphics processing units (GPUs) to extend our capabilities for modelling flow phenomena.

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Mathematical Sciences
Research centre(s)

Finite element methods for modelling the deformation of polymers

The finite element method (FEM) is by now a well-established and widely accepted approach for modelling the deformation of linearly elastic materials.In this project we will explore which FEM approach and constitutive laws may be applicable for modelling polymers, which have more deformation behaviour than a simple elastic material. Our long-term goal is to be able to accurately model the deformation of polymer bioscaffolds fabricated with the novel melt-electrowriting (MEW) additive manufacturing process. …

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Mathematical Sciences
Research centre(s)

Computational methods for multi-scale structural optimisation

Structural optimisation is a powerful computational methodology for finding high-performing designs for structural components or material architectures. For example, what periodic scaffold would provide the highest possible stiffness for its weight?Solving such a problem computationally requires an understanding of the relevant equations required to model the physical properties of interest, as well as efficient implementation of a range of numerical methods including finite elements, finite differences and optimisation.With recent developments in 3D printing technologies it is now possible to manufacture …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
School
School of Mathematical Sciences
Research centre(s)

Revolutionising high resolution water quality monitoring in the information age

Funded by the Australian Research Council through a Linkage Project titled “Revolutionising high resolution water quality monitoring in the information age”, this PhD project will see the successful applicant develop new statistical and computational methods to guide the optimal placement of sensors to monitor water quality across Queensland rivers Australia. Much of this work will be conducted in interdisciplinary teams, with strong engagement with international collaborators and industry partner organisations.The successful applicant will receive a scholarship of $28,420 per year …

Study level
PhD
Faculty
Science and Engineering Faculty
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

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