The GECOMPL project aims to enable wider adoption of generalised plasticity models in practical applications. More specifically, the project proposes a detailed study of the formulation of both existing and new elastoplastic constitutive laws in the framework of generalised continua, leading to a better understanding of the different possible constitutive models and providing both the necessary theoretical basis and the appropriate numerical tools needed to use generalised continuum models in describing elastoplastic behaviour.
T-MAPPP is an Initial Training Network funded by FP7 Marie Curie Actions with 10 full partners and 6 associate partners, aiming to train the next generation of researchers who can support and develop the emerging inter- and supra-disciplinary community of Multiscale Analysis (MA) of multi Phase Particulate Processes.
The Vision of VELaSSCo is to provide new approaches for visual analysis of large-scale simulations for the Exabyte era. It does this by building on big data tools and architectures for the engineering and scientific community and by adopting new ways of in-situ processing for data analytics and hardware accelerated interactive visualization.
This project aims to develop a robust methodology to characterise the grindability of particulate products in milling operations which will in turn provide a step-change in mill fingerprinting and optimisation. This involves developing a “grindability test” to measure the comminution characteristics of the particulates which, when coupled with the computational modelling work to characterise the milling function, will evaluate the milling performance measures including energy utilisation, breakage kernels for scale-up modelling such as population balance model of the mill.
This project attempts to deal with the challenges associated with handling and storage of cohesive solids in the mining industry. An adhesive-frictional model has been recently developed for DEM simulation of cohesive particles at the University of Edinburgh. This project will exploit the new method for modelling cohesive particulates for specific problems, such as effect of fines in silo discharge and the effect of time consolidation.
The modelling of cohesive soils is a challenging task of great importance in many earth moving processes. In these cases, the understanding of the interaction soil-machine is vital to try to optimize the process and avoid problems. This project aims to investigate the capabilities of DEM cohesive contact models to capture with a sufficient level of accuracy the mechanical behaviours involved in soil-machine interactions.