My research aims to provide fundamental explanations to sand behaviour phenomena that have been observed in laboratory experiments or in geotechnical engineering construction. Most of my research exploits DEM. This talk will focus on two strands of research. Firstly I will discuss some of the consideration we have given to the flow of water and suspended solids through sand. I will discuss how we have used CFD to identify how the pore-space topology determines sand permeability. I will also consider some of the challenges associated with using DEM-CFD in coupled simulations of dense, fluid saturated particle systems. The second part of the talk will look at bi-modal granular materials, i.e. mixtures comprising a large and a relatively small size fraction. The behaviour of these materials does not always confirm to the expected behaviour characteristics for sand. Some consideration has been given to meaning of packing density in these materials and we have recently looked at this using DEM. The variation in the way stress is transmitted amongst the different size fractions will also be discussed. Finally I will look at how the stress: deformation response varies with both the volumetric content of the finer particles and the size ratio of the two particle fractions.
Guest lecture by Prof. Catherine O’Sullivan (Imperial College London) on the 11th of May 2021
A multitude of engineering applications and physical problems are complex in nature and include a number of separate physical processes that all contribute to the entire application on usually different length and time scales. These applica-tions are as diverse as engineering, astrophysics, material science e.g. additive manufacturing, biology, energy e.g. biomass, environmental science, thermal processing and pharmaceutical industry to name a few. In order to understand the interaction between different physical processes, researchers combine existing models to represent multi-physics/scale applications. In particular, a class of multi-physics problems, that include a discrete phase as a particulate material that is in contact with a fluid phase is of large importance. A major challenge lies in coupling the granular material through heat, mass and momentum exchange to the fluid phase, sometimes a reacting multi-phase flow, so that the overall model is accurate enough and can be executed efficiently on modern computing resources including high performance computing (HPC).
Guest lecture by Prof. Bernhard Peters (University of Luxembourg) on the 8th of December 2020
Researchers at the Otto-von-Guericke University Magdeburg, together with partners from the Ruhr University Bochum, want to reduce the enormous amount of energy and raw materials used in large-scale industrial particle production processes.
06. July 2020