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Bayesian deep learning for incomplete information

This project will feature a synergy of deep learning, modular and multi-task learning with Bayesian methods to address the problem of decision making given incomplete information. more...

Supervisor(s): Cripps, Sally (Professor), Chandra, Rohitash (Dr)

Understanding the growth of hydrodynamic instabilities in Inertial Confinement Fusion

The National Ignition Facility (NIF) in the USA has managed to achieve a fusion fuel gain of 1 in landmark experiments. However, the targeted gain is substantially higher than this more...

Supervisor(s): Thornber, Ben (Dr)

Computer vision techniques for forensic engineering and damage assessment in structures

This research will develop high-end technology based on computer vision for structural health monitoring and damage localisation in structures. more...

Supervisor(s): Dias-da-Costa, Daniel (Dr)

Dynamic X-ray analysis of fibre reinforced concrete composites: from pouring to ultimate loads

The entire life cycle of a concrete member will be studied using dynamic X-ray tomography. This project will investigate the influence of mixing and pouring on the load carrying cap more...

Supervisor(s): Marks, Benjy (Dr), Dias-da-Costa, Daniel (Dr)

XFEM methods for fracture propagation

The purpose of this research is to develop a FEM method for simulation of fracture. more...

Supervisor(s): Dias-da-Costa, Daniel (Dr)

Simulation of dynamic fracture propagation

The purpose of this research is to develop a computational method for dynamic fracture propagation associated with impact and blast. more...

Supervisor(s): Dias-da-Costa, Daniel (Dr)

Computational modelling of fibre-reinforced concrete and other composites

The purpose of this research is to develop high-end computational tools for the design of fibre-reinforced concrete and other composites. more...

Supervisor(s): Dias-da-Costa, Daniel (Dr)

Development of constitutive models for self-healing cementitious and soil materials

This research will develop constitutive models to handle the mechanics of self-healing materials. more...

Supervisor(s): Dias-da-Costa, Daniel (Dr)

Compressible Turbulent Mixing

A fundamental understanding of compressible turbulent mixing is critical to advancing technologies in aeronautical, automotive, clean energy and acoustics. This project aims to deve more...

Supervisor(s): Thornber, Ben (Dr)

Efficient Large Eddy Simulations of Helicopter Aerodynamics and Aeroacoustics

This project aims to push forward the state of the art in unsteady turbulent simulations of helicopters and UAVs flying in atmospheric turbulence generated over ships and through ur more...

Supervisor(s): Thornber, Ben (Dr)