IIE Research Projects

Research Projects at the Institute for Infrastructure and Environment (IIE). You can search keywords within Project Titles.

We also have a number of Infrastructure and Environment PhD opportunities for postgraduate students looking to join the School.

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Project Title Principal Supervisorsort ascending Project Summary
T-MAPPP: Training in Multiscale Analysis of multi-Phase Particulate Processes

Prof. Jin Ooi

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.

A multi-scale approach to characterising fluid contribution to conductive heat transfer in dense granular systems

Prof. Jin Ooi

Heat transfer in granular materials is a common occurrence in many industrial applications. One such application is the heating of recycled asphalt product (RAP).

Measurement and modelling of powder flow in flexible containers

Prof. Jin Ooi

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.

Cardington Test Reports (PiT Project)

Professor Asif Usmani

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.

TRANSFER: Evaluation and Optimization of Fuel Treatment Effectiveness with an Integrated Experimental/Modeling Approach #2

Prof Albert Simeoni

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.

Intelligent Egress: Real time modelling based upon sensor data to steer evacuation in case of fire

Dr Stephen Welch

Intelligent egress is a novel approach to enhancing evacuations from fire emergencies.  It combines sensor-linked simulations and route-planning tools to provide real-time information to occupants on efficient egress.  The specific issues associated with disabilities and mobility impairment are addressed.  Mechanisms to provide “way finding” information to relevant end users are being studied.  Detailed guidance and recommendations on use of such systems will be developed.

FireComp: Modelling the thermo-mechanical behaviour of high pressure vessel in composite materials when exposed to fire conditions

Dr Stephen Welch

Hydrogen is expected to be highly valuable energy carrier for the 21st century as it should participate in answering main societal and economical concerns. To exploit its benefits at large scale, further research and technological developments are required. In particular, the storage of hydrogen must be secured. Even if burst in service of pressure vessels in composite material is very unlikely, when exposed to a fire, they present safety challenges imposing to correctly size their means of protection.

High Performance Computing Support for United Kingdom Consortium on Turbulent Reacting Flows (UKCTRF)

Dr Stephen Welch

The proposed UK Consortium on Turbulent Reacting Flows will perform high-fidelity computational simulations (i.e. Reynolds Averaged Navier-Stokes simulations (RANS), Large Eddy Simulation (LES) and Direct Numerical Simulations (DNS)) by utilising national High Performance Computing (HPC) resources to address the challenges related to energy through the fundamental physical understanding and modelling of turbulent reacting flows. Engineering applications range from the formulation of reliable fire-safety measures to the design of energy-efficient and environmentally-friendly internal combustion engines and gas turbines.

Finite element implementation and detailed comparison of generalised plasticity models

Dr. Stefanos Papanicolopulos

The lack of an internal length scale parameter in classical continua leads to unrealistic numerical modelling of some phenomena related to the microstructure of the material such as size effect and strain localisation.

A multi-scale analysis of the influence of particle shape on the mechanical response of granular materials

Dr. Stefanos Papanicolopulos

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).

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