Multigrid solvers
For queries about this topic, contact Chris-Kriton Skylaris.
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Projects
Can we calculate the pKa of new drugs, based on their structure alone?
Chris-Kriton Skylaris (Investigator), Chris Pittock, Jacek Dziedzic
The pKa of an active compound in a pharmaceutical drug affects how it is absorbed and distributed around the human body. While there are various computational methods to predict pKa using only molecular structure data, these tend to be specialised to only one class of drug - we aim to generate a more generalised prediction method using quantum mechanics.
Complexity in Modelling Electric Marine Propulsive Devices
Suleiman Sharkh, Neil Bressloff, Hans Fangohr (Investigators), Aleksander Dubas
This project involves the simulation of turbulent flow around a marine rim-driven thruster and the complex interaction of flow features involved through computational fluid dynamics. Following this, the optimisation of design parameters using computational fluid dynamics to calculate the objective function is performed and surrogate modelling utilised to estimate optimum design configuration.
Coupled Fluid-Structure Interaction to model Three-Dimensional Dynamic Behaviour of Ships in Waves
Pandeli Temarel, Zhi-Min Chen (Investigators), Puram Lakshmynarayanana
In the present study we focus our attention on fluid-structure interactions (FSI) of flexible marine structures in waves by coupling a fluid solver using Computational Fluid Dynamics (CFD) and a structural solver using Finite Element Analysis (FEA) software.
Development of wide-ranging functionality in ONETEP
Chris-Kriton Skylaris (Investigator), Jacek Dziedzic
ONETEP is at the cutting edge of developments in first principles calculations. However, while the fundamental difficulties of performing accurate first-principles calculations with linear-scaling cost have been solved, only a small core of functionality is currently available in ONETEP which prevents its wide application. In this collaborative project between three Universities, the original developers of ONETEP will lead an ambitious workplan whereby the functionality of the code will be rapidly and significantly enriched.
Massively-Parallel Computational Fluid Dynamics
Simon Cox, Stephen Turnock, Alexander Phillips (Investigators), James Hawkes
Computational Fluid Dynamics (CFD) is a numerical method for modelling fluid flows and heat transfer - and is used in many industries. It can be used to model dynamics around aircraft, ships and land vehicles; and also has uses in engine design, architecture, weather forecasting, medicine, computer-generated imagery (CGI) and much more. To harness the full power of CFD, it is necessary to utilise the full power of modern supercomputers. This project aims to improve the scalabilty of existing CFD codes so that more complex problems can be tackled efficiently.
Multiscale modelling of neutron star oceans
Ian Hawke (Investigator), Alice Harpole
Type I X-ray bursts are explosions which occur on the surface of some
neutron stars. It is believed that the burning begins in a localised spot in the ocean of the
star before spreading across the entire surface. By gaining a better understanding of X-ray
bursts, it is hoped that tighter limits can be determined for other neutron star properties
such as the radius and magnetic field strength.
Prediction of orifice flow flooding rates through generic orifices
Dominic Hudson, Ming-yi Tan (Investigators), Christian Wood, Adam Sobey
This presearch concentrates on the modelling of compartment flooding rates following the occurrence of damage in a ship's side shell. Typical state of the art flooding models use Torricelli’s formula to calculate flooding rates using a constant co-efficient of discharge (Cd). Based on Bernoulli’s theorem, turbulence and viscosity effects are not included using a Cd independent of damage shape or size. Previous work indicates that this assumption over-simplifies the problem to an extent where the flooding rates used for calculation are in error. This project will use CFD validated by experiment to calculate flooding rates for a large number of cases from which a 'krigged' response surface will be generated. Validity of the subsequent response surface will be interrogated.
People
Neil BressloffProfessor, Engineering Sciences (FEE)
Simon CoxProfessor, Engineering Sciences (FEE)
Hans FangohrProfessor, Engineering Sciences (FEE)
Suleiman SharkhProfessor, Engineering Sciences (FEE)
Pandeli TemarelProfessor, Civil Engineering & the Environment (FEE)
Stephen TurnockProfessor, Engineering Sciences (FEE)
Nicolas GreenReader, Electronics and Computer Science (FPAS)
Tobias KellerReader, Ocean & Earth Science (FNES)
Dominic HudsonSenior Lecturer, Engineering Sciences (FEE)
Edward RichardsonSenior Lecturer, Engineering Sciences (FEE)
Zhi-Min ChenLecturer, Chemistry (FNES)
Ian HawkeLecturer, Mathematics (FSHS)
Chris-Kriton SkylarisLecturer, Chemistry (FNES)
Ming-yi TanLecturer, Engineering Sciences (FEE)
Felipe Alves PortelaResearch Fellow, Engineering Sciences (FEE)
Petros BogiatzisResearch Fellow, Ocean & Earth Science (FNES)
Aleksander DubasResearch Fellow, Engineering Sciences (FEE)
Jacek DziedzicResearch Fellow, Chemistry (FNES)
James HawkesPostgraduate Research Student, Engineering Sciences (FEE)
Puram LakshmynarayananaPostgraduate Research Student, Civil Engineering & the Environment (FEE)
David LusherPostgraduate Research Student, Engineering Sciences (FEE)
Juraj MihalikPostgraduate Research Student, Engineering Sciences (FEE)
Lyuboslav PetrovPostgraduate Research Student, Electronics and Computer Science (FPAS)
Chris PittockPostgraduate Research Student, Chemistry (FNES)
Adam SobeyPostgraduate Research Student, Engineering Sciences (FEE)
Koen van MierloPostgraduate Research Student, Engineering Sciences (FEE)
Petrina ButlerAdministrative Staff, Research and Innovation Services
Christian WoodAlumnus, Engineering Sciences (FEE)
Alexander PhillipsNone, None