UK Turbulence Consortium

Lead Research Organisation: Imperial College London
Department Name: Dept of Aeronautics


An expanded high-performance computing (HPC) consortium is proposed to investigate fundamental aspects of the turbulence problem using numerical simulation. Cases include transitional and fully developed turbulent flows in canonical and complex geometries, with relevance to a wide range of engineering, environmental/geophysical and biological applications. The consortium will serve to coordinate, augment and unify the research efforts of its participants, and to communicate its expertise and findings to an international audience. Most of the staff resource to carry out the scientific work is already in place, funded by EPSRC or other sources, and in all cases the projects have qualified and available staff in place to complete them. This application is for: (a) a core allocation of HPC time to enable consortium members to carry out simulations of world-leading quality, (b) dedicated staff at STFC Daresbury Laboratory and the University of Southampton to ensure efficient use of HPC resources and progress on key projects, (c) a PhD studentship to address issues related to the effect of next-generation HPC architectures on the future of turbulence simulation, (d) travel and subsistence for regular management meetings and international visitors, and (e) support for annual progress reviews, including two expanded workshops to which members of the wider UK turbulence community will be invited.


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Cantwell C (2015) Nektar++: An open-source spectral/ h p element framework in Computer Physics Communications

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Lombard J (2016) Implicit Large-Eddy Simulation of a Wingtip Vortex in AIAA Journal

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Mao X (2012) Non-normal dynamics of time-evolving co-rotating vortex pairs in Journal of Fluid Mechanics

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Moxey D (2016) Optimising the performance of the spectral/ h p element method with collective linear algebra operations in Computer Methods in Applied Mechanics and Engineering

Description We developed a hybrid discretisation technique which allowed greater parallel efficiency of an advanced modelling technique for modelling of turbulence flows.

These developments were distributed in an open code, Nektar++.
Exploitation Route We continue to distribute the code and apply the method developed in the PhD project.
Sectors Aerospace, Defence and Marine,Healthcare

Description I have been involved in the Blackett Review on Modelling which is a policy document for decision makers. Some simulations partly supported by this grant were shown in this report. The parallelization developments under this contract are now being used on projects of interest to Rolls Royce where we are looking to replaces experimental studies by high fideltiy computational modelling to help optimise the design process of turbines and compressor blades.
First Year Of Impact 2018
Sector Aerospace, Defence and Marine,Healthcare,Manufacturing, including Industrial Biotechology,Transport
Impact Types Economic,Policy & public services

Description Council of Science and Technology Review on Modelling
Geographic Reach National 
Policy Influence Type Membership of a guideline committee
Description EU Research Training Network: ANADE
Amount £440,515 (GBP)
Funding ID 289428 
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 12/2012 
End 11/2016
Description McLaren Group PhD funding
Amount £174,400 (GBP)
Organisation McLaren Group 
Sector Private
Country United Kingdom
Start 12/2007 
End 11/2011
Description RAEng/McLaren Research Chair
Amount £200,000 (GBP)
Organisation Royal Academy of Engineering 
Sector Charity/Non Profit
Country United Kingdom
Start 10/2012 
End 09/2017
Description McLaren Racing 
Organisation McLaren Racing
Country United Kingdom 
Sector Private 
PI Contribution We have transferred fundamental ideas behind vortex stability and identification to their design practice. More recently we are been applying computational modelling tools developed in an academic setting to example flow problems of direct interest to McLaren.
Collaborator Contribution Data and motivation on how to focus our research direction
Impact .
Start Year 2007
Title Nektar++ version 4.0.1 
Description Nektar++ is a tensor product based finite element package designed to allow one to construct efficient classical low polynomial order h-type solvers (where h is the size of the finite element) as well as higher p-order piecewise polynomial order solvers. 
Type Of Technology Software 
Year Produced 2014 
Open Source License? Yes  
Impact The software is being used by a number of national and international groups and our web site is currently being visited up to 100 times a day according to google analytics