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  Mulit-scale Discrete particle and Discontinuous Galerkin FEM for granular flows


   Numerical Analysis and Computational Mechanics

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Dr O Bokhove, Dr AR Thornton  Applications accepted all year round  Funded PhD Project (Students Worldwide)

About the Project

Dry granular flows will be investigated on inclined channels with local constrictions and obstacles, using discrete element models (DEM) and Discontinuous Galerkin Finite Element Models (DGFEM). The effects of polydisperity and non-uniform shape of the particles will be studied for both rotating and non-rotating situations. The main challenges in the modeling of these flows is understanding the effect of rotation, particle segregation and how to deal with the co-existence of rapid and slow regimes.

This project will focus on developing a heterogeneous multiscale model, coupling macroscale continuum with microscale discrete particle models, using integrated DEM and DGFEM. The coupling will be done at selective regions in space and time thus reducing computational expense and allowing simulation of the complex granular flows under study.

In a sister project, experiments of these flow configurations will be carried out and an exchange of laboratory data and numerical models will mutually stimulate both projects. Additionally, this project will be run in close collaboration with an industrial partner, Corus, allowing access to large-scale real industry complex granular flows.

The appointment will be joint between the NACM group, headed by Prof. Van der Vegt and the MSM group, headed by Prof. Luding. The primary project supervision will be undertaken by Dr. Onno Bokhove (NACM) and Dr. Anthony Thornton (MSM and NACM).

Funding Notes

You should have an M.Sc./M.Eng., or equivalent qualifications, in Mathematics, Physics, Engineering or Computer Science. You should have an interest in the behaviour of granular materials; and both discrete particle and discontinuous Galerkin methods for their simulation. This project will involve the development of numerical models; therefore, previous knowledge of C++- and object-oriented programming would be beneficial. You should be able to work both independently and as part of a team and have excellent communication skills in English (both written and spoken).

References

Please include details of two academic referees who can be contacted for references.