The University Of Edinburgh

Country: 
United Kingdom
Acronym: 
UEDIN
Description: 

UEDIN is the leading research university in Scotland, with very active participation in FP6 and FP7 and currently collaborates in 267 projects in FP7. The College of Science & Engineering is one of the largest in the UK, with over 1,700 staff and over 7,800 students. The School of Engineering supports world-class excellence in teaching and research. We have very strong research activities within our five Research Institutes, with much collaboration with industry and government both nationally and internationally.

The UEDIN team members for this project conduct both fundamental research and application-specific consultancy on granular materials, bulk handling and industrial infrastructure. The longstanding focus is to develop new scientific insights using a combination of extensive simulation tools, experimentation and analytical methods, which underpins the development of innovative engineering designs and solutions. We bring world leading expertise in DEM discrete particle scale simulations, DEM-CFD particle-fluid multiphase simulations and FEM continuum modelling, using both in-house codes suitable for massive parallel computing and commercial software (EDEM, PFC2D/PFC3D, FLUENT, ABAQUS).

The project team is currently leading the Marie Curie PARDEM Project (www.pardem.eu) involving 8 companies and 5 universities in research and training on DEM modelling and validation of particulate systems. The project team is currently coordinating the contract negotiation on a new Marie Curie ITN Project (T-MAPPP) on multi-scale analysis of multiphase particulate processes which aims to address the research and training in multi-scale modelling for European enterprise, and involves collaboration with European stakeholders ranging from agriculture/food processing, consumer/personal care, chemicals/pharmaceuticals together with software and equipment manufacture. UNIEDIN will thus bring not just internationally leading expertise in engineering simulations, but also a clear pathway for effective evaluation and impact on European companies with regard to the research outcomes of this proposal.

In VELaSSCo, UEDIN will lead WP1 for steering with target users (user panel) and will contribute to WP3 developing and implementing the data analytics for particle-based simulations and WP5 for the evaluation of usability and effectiveness with users panel.

A brief summary of computational expertise and computational facilities include:

− Discrete element method (DEM) simulations of complex granular solid systems including particlestructure interaction, supported by a variety of commercial and in-house software including EDEM, PFC2D and PFC3D.
− Modelling of granular solid-fluid interaction problems using DEM-CFD coupling computer code.
− Finite element analysis of a diverse range of problems including granular flows in silos, shell structures and pipelines and structural mechanical analysis of soil-structure interaction problems.
− Access to massive-parallel computing clusters including HECToR, the UK national supercomputer with 59,392 Cray XE6 cores and Eddie, the Edinburgh University cluster with 2,000 IBM cores.

People involved: 

Prof. Jin Y. Ooi holds the chair of Particulate Solid Mechanics at the University. His research covers both computational and experimental studies of solids behaviour and investigating industrial problems in bulk handling and processing. He has published over 150 technical papers, supervised over 20 PhD students, cofounded a spin-out company (DEM Solutions Ltd) on particle scale simulation and is the coordinator on the two major FP7 ITN projects: PARDEM and T-MAPPP (to start late 2013).

Dr Stefanos-Aldo Papanicolopulos is a lecturer-grade research fellow in Mechanics of Materials. His research covers the constitutive and modelling of microstructure-dependent material behaviour within a continuum mechanics framework, focusing on large-scale 3D modelling of geomaterials.

Dr Jin Sun is a lecturer in Geotechnical Engineering. He has experience in scientific software development and optimization. He has utilised HPC to accelerate his research on multiphase flow and granular materials, enabling exploration of flow behaviours in different regimes using both discrete and continuum methods.

Dr Carlos Labra, researcher at the University of Edinburgh, is the main developer of DEMpack, a discrete/finite elements simulation software and the Particle Pre/Post Processor tool (P4) for data analytics in DEM modelling.