The project's key objectives are to develop accurate 3D models of complex near surface soil formations and antenna design variants and so produce complete soil/system GPR models that can be used to assess and predict the performance of a GPR system.
Extreme climatic events in the 21st century threaten the resilience of geotechnical engineering structures. Low-permeability barriers are at a particularly high risk of inundation under flooding or cracking during droughts, compromising the barriers and permitting contamination of the surrounding ground.
Heat transfer in granular materials is a common occurrence in many industrial applications. One such application is the heating of recycled asphalt product (RAP).
For granular materials with low thermal conductivity heat transfer occurs through interstitial gases as well as through physical contacts. Existing particle based models are ill suited to dense systems so a multi-scale approach has been used to correlate the local packing structure to the gas contribution to conductive heat transfer in dense granular systems.
The principal aim is to characterise the flow properties of dense granular systems. In particular, the influence of different particle-shape representation techniques in the Discrete Element Method (DEM) is assessed. Additionally, experiments in a silo centrifuge device to determine the bulk response of granular assemblies under realistic stress states are being carried out. This work is part of T-MAPPP (Training in Multiscale Analysis of multi-Phase Particulate Processes), an FP7 Marie Curie Initial Training Network (https://www.t-mappp.eu).
