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Projects: Projects for Investigator
Reference Number EP/R029326/1
Title UK Turbulence Consortium
Status Completed
Energy Categories Renewable Energy Sources(Wind Energy) 2%;
Energy Efficiency(Transport) 5%;
Not Energy Related 85%;
Other Power and Storage Technologies(Electric power conversion) 5%;
Fossil Fuels: Oil Gas and Coal(Oil and Gas, Oil and gas combustion) 3%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Physics) 25%;
ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 50%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Dr S Laizet
No email address given
Imperial College London
Award Type Standard
Funding Source EPSRC
Start Date 01 October 2018
End Date 31 December 2022
Duration 51 months
Total Grant Value £693,229
Industrial Sectors Aerospace; Defence and Marine; Energy; Information Technologies
Region London
Programme NC : Infrastructure
Investigators Principal Investigator Dr S Laizet , Aeronautics, Imperial College London (99.994%)
  Other Investigator Professor P. G. Tucker , Engineering, University of Cambridge (0.001%)
Professor ND Sandham , School of Engineering Sciences, University of Southampton (0.001%)
Dr M van Reeuwijk , Civil and Environmental Eng, Imperial College London (0.001%)
Professor SJ Sherwin , Aeronautics, Imperial College London (0.001%)
Dr AJ Revell , Mechanical, Aerospace and Civil Engineering, University of Manchester (0.001%)
Professor DR (David ) Emerson , CSE/Computational Chemistry Group, STFC (Science & Technology Facilities Council) (0.001%)
  Industrial Collaborator Project Contact , Siemens plc (0.000%)
Web Site
Abstract Understanding, predicting and controlling turbulent flows is of central importance and a limiting factor to a vast range of industries: naval, aeronautical, automotive, power generation, process, pharmaceutical, meteorological and environmental. Our view is that the key to advances in turbulence is by sustaining and stimulating interaction among researchers. It is essential that a diverse range of viewpoints, opinions, strategies and methods are brought together in an efficient and constructive manner. The essence of the consortium is to provide the central core of a needed critical mass activity considering the big challenges posed by turbulence.The consortium brings together complementary expertise/experience/knowledge and coordinate activities to look at coherent, rational and strategic ways of understanding, predicting and controlling turbulent flows using High Performance Computing. The consortium is crucial for the UK in order to coordinate, augment and unify the research efforts of its participants and to communicate its expertise and findings to a wider audience. Firstly funded in 1995, the UKTC has been through five highly successful iterations. It has seen significant growth since its inception, from 5 original members to 46 members over 21 UK institutions for the present bid, and is continuously receiving requests from academics to join (20 new members for the present bid). In the last 22 years, the UKTC has (i)demonstrated its ability to convert access to national High-End Computing (HEC) resources into internationally leading research (hundreds published papers since 1995 with thousands non-self citations), (ii) established its international competiveness, (iii) helped its members to leverage and secure multi -million grants from governmental funding bodies and industries, (iv) allowed the discovery of new fluid flow phenomena which have led to new ways of improving beneficial effects and reducing negative effects of turbulent flows and (v) faciltated the design of more sophisticated turbulence models redefining industry standards.The member of the consortium are (in alphabetic order): Pavlos Aleiferis (Imperial College London); Eldad Avital (Queen Mary London); Angela Busse (University of Glasgow); Yongmann Chung (University of Warwick); Dimitris Drikakis (University of Strathclyde); David Emerson (Daresbury Lab); Jian Fang (Daresbury Lab); Gerard Gorman (Imperial College London); Shuishen He (University of Sheffield); Yongyun Hwang (Imperial College London); Richard Jefferson-Loveday (University of Nottingham); Xi Jiang (Queen Mary London); Robert Kerr (University of Warwick); Jae-Wook Kim (University of Southampton); Sylvain Laizet (Imperial College London); Michael A. Leschziner (Imperial College London); Kai Luo (University College London); Xuerui Mao (University of Nottingham); Olaf Marxen (University of Surrey); Joanne Mason (University of Exeter); Aimee S. Morgans (Imperial College London); Charles Moulinec (Daresbury Lab);Gary Page (Loughborough University); George Papadakis (Imperial College London); Matthew Piggott (Imperial College London); Alfredo Pinelli (City University London); Alistair Revell (University of Manchester); Pierre Ricco (University of Sheffield); Aldo Rona (University of Leicester); Neil Sandham (University of Southampton); Mark Savill (University of Cranfield); Peter Schmid (Imperial College London); Mehdi Seddighi (University of Liverpool); Spencer Sherwin (Imperial College London); John S. Shrimpton (University of Southampton); Vassilios Theofilis (University of Liverpool); Emile Touber (Imperial College London); Paul Tucker (University of Cambridge); Maarten van Reeuwijk (Imperial College London); J. Christos Vassilicos (Imperial College London); Peter Vincent (Imperial College London); Andy Wheeler (Univer- sity of Cambridge); Beth Wingate (University of Exeter); Jun Xia (Brunel University London); Yufen Yao (University of Bristol)
Publications (none)
Final Report (none)
Added to Database 22/02/19