Skip to main content

Postgraduate research project

Building-resolved large-eddy simulations of wind and dispersion over a city scale urban area

Funding
Competition funded View fees and funding
Type of degree
Doctor of Philosophy
Entry requirements
2:1 honours degree View full entry requirements
Faculty graduate school
Faculty of Engineering and Physical Sciences
Closing date

About the project

We are in a changing world. This includes climate change, and the fast-developing urban environments where most of the population lives. It is crucial that we are able to understand such a complex system, and therefore to build more reliable predictive tools in time, such as for street airflows, temperature hot spots, concentration of pollutants, chemicals and pathogens in urban areas, to mitigate any impact to be resilient.

This project will investigate across-scale physical processes in urban areas, with a focus ranging from the metre to kilometre scales. We will develop a computational fluid dynamics tool, using an open source code and the efficient inflow turbulence generation method developed at Southampton, to significantly speed up the numerical simulations, and therefore bridge gaps in protection in urban environments.

Specifically, the objectives of the project are:

  • to build and test an integrated tool that is much faster than ‘real-time’ for prediction of wind and dispersion over a city scale urban area (about 5km2) in around 1s time resolution and 1m space resolution
  • to validate the developed tool for near-field dispersion using the DAPPLE site (Marylebone Rd – Gloucester Pl, London) data, where the BT Tower meteorological conditions were used as the boundary conditions to drive the numerical simulations

You will join our flourishing aerodynamics and flight mechanics group, which engages in a wide range of experimental and numerical studies of turbulent flows. The project will benefit from close collaboration with other researchers and colleagues.

You will have access to the local and national supercomputers, and work closely with the UK Met Office colleagues through placements and regular meetings.

Back
to top