Computational Engineering exploits multidisciplinary engineering simulation and design.
Our strength lies in a sophisticated mix of engineering methods, coupled with industrial applications from collaborating companies such as Rolls-Royce, Microsoft, Airbus, and Medtronic.
Our research interests fall into three broad areas:
We develop new computational methods and techniques such as numerical algorithms, methods to increase robustness in treatment of stochastic systems, parametric geometry techniques, and to exploit new emerging technologies such as distributed and Cloud computing.
We apply these advances by modelling a wide variety of engineering systems, including problems in fluids, structures, repetitive structures, control systems, cellular and porous media, contact mechanics, structural dynamics, biomechanics and medical engineering, computationally intensive imaging, solid and functional materials and nanomaterials, photonic and spintronic devices, environmental modelling and atmospheric science, and complex systems.
To support effective design in industry and academia, we use our tools and expertise in design search and optimisation to achieve cost savings, competitive advantages, and reductions in environmental impact. This includes construction of advanced cost-prediction systems, development of autonomous systems, and optimisation of meta-modelled systems, materials and devices.
Our facilities include access to large supercomputing facilities at the University and Nationally, rapid prototyping systems, wind tunnels and water tanks. We provide software to academia and industry, with tailored solutions ranging from consulting services to provision of open source tools.