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TRANSFER: Evaluation and Optimization of Fuel Treatment Effectiveness with an Integrated Experimental/Modeling Approach #2 |
Prof Albert Simeoni
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Over the past ten years, ca. US$ 5.6 billion has been spent on hazardous fuel reduction to treat an average of ca. 2.5 million acres per year across the United States. These expenditures represent one of the primary strategies for the mitigation of catastrophic wildland fire events. At the local scale, the placement and implementation of fuel reduction treatments is complex, involving trade-offs between environmental impacts, threatened and endangered species mitigation, funding, smoke management, parcel ownership, litigation, and weather conditions. Because of the cost and complexity involved, there is a need for implementing treatments in such a way that hazard mitigation, or other management objectives, are optimized.
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Cardington Test Reports (PiT Project) |
Professor Asif Usmani
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As part of a DETR funded PiT (Partners in Technology) project the BRE Centre for Fire Safety Engineering (previously the Structures in Fire Group) conducted extensive computational and analytical studies of the behaviour of steel-framed composite structures in fire conditions. This work was undertaken in collaboration with Corus PLC and Imperial College London. The results were presented in the form of a main report, which identified the main findings, together with numerous supplementary reports which explored various phenomena in detail. The reports produced at Edinburgh are available for download as indicated below.
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IFPRI Grindability Project: modelling, measurement and mill fingerprinting |
Prof. Jin Ooi
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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.
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Transporting, handling and storing behaviour of iron ore fines |
Prof. Jin Ooi
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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.
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VELaSSCo: Visualization for Extremely Large-scale Scientific Computing |
Prof. Jin Ooi
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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.
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A multi-scale approach to characterising fluid contribution to conductive heat transfer in dense granular systems |
Prof. Jin Ooi
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Heat transfer in granular materials is a common occurrence in many industrial applications. One such application is the heating of recycled asphalt product (RAP).
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Measurement and modelling of powder flow in flexible containers |
Prof. Jin Ooi
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The research focuses on understanding cohesive powder flow in flexible bulk solid containers (buggies and bulk bags) with a view to develop a design methodology for ensuring reliable discharge from these containers. The project involves experimental powder flowability characterisation, finite element analysis of the stresses in flexible containers and pilot scale experiments to study the powder flow field and validate the new design methodology for reliable discharge.
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T-MAPPP: Training in Multiscale Analysis of multi-Phase Particulate Processes |
Prof. Jin Ooi
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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.
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Multi-scale analysis of DEM data to enhance the prediction at system scale |
Prof. Jin Ooi
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While the discrete element method (DEM) can provide particle-scale information to inform the design of particulate equipment, many industrial sectors are interested in large-scale modelling and scaling-up processes [1].
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Investigation of particle breakage of dry granular materials using x-ray computed tomography and the DEM |
Prof. Jin Ooi
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When a load is applied to an assembly of particles and particle breakage occurs, the macroscopic behaviour of the assembly is greatly affected by changes in the micro-scale caused by breakage. In this project particle breakage is studied in 3D using x-ray tomography and simulating the process with the DEM.
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