Developing mesocale fluid models for particle laden flow
Implementing discrete fluid models to obtain simulations of particle-laden flows
Background
Mesocale fluid models such as Lattice Boltzmann methods (link) have surfaced these last 20 years. These models serve as alternatives to Navier-Stokes continuum models for modelling fluid flow, where averaged fluid-particles are used as the computational entity. These fluid models have also been used to model suspended particles in water in a successful manner.
What the thesis involves
Using in-house existing tools, the master student will learn new modelling approaches for simulating fluid flow. Once this has been accomplished, the candidate will be implementing new and more advanced methods and compare results with other fluid solvers. Coupling the student's results with particle solvers might also be a viable route. Ideally the development would be done within a python programming environment, but C/C++ would be an equally viable alternative.
Prior knowledge
Some programming experience is required. However, the thesis can be tuned to the students prior knowledge. However, the candidate should have at least one or more of the following interests:
Computational science, physics, mathematical modelling, statistical physics, geophysics.
What you will learn
1. Discrete modelling of fluid methods
2. Programming python/C/C++
3. Lattice Boltzmann methods
4. Particle laden flow modelling
3. Lattice Boltzmann methods
4. Particle laden flow modelling
For more information please contact Omar Al-Khayat
