Development and evaluation of advanced turbulence models for high Reynolds number separated flows

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


One of the limiting factors in current industrial Computational Fluid Dynamics is the way large-scale structures, that might not be turbulent, are represented by methods based on statistical models (RANS). The most accurate method available today for industrial applications (Large-Eddy simulation, LES) still remains largely unpractical (in terms of cost, but also in terms of physics that need to be modeled). A method combining both approaches (Hybrid RANS/LES) has been developed in Simcenter STAR-CCM+ (a leading CFD software, developed by Siemens PLM) and the aim of the project is to improve this methodology (originally derived and validated on simple, canonical, low Reynolds number cases) for high Reynolds number separated flows. In particular, the focus will be on the optimization of offshore platforms in order to increase their operational efficiency and to reduce the probability of incidents.


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S513635/1 30/09/2018 29/09/2023
2297109 Studentship EP/S513635/1 30/04/2019 30/07/2023 Michael Mays
Description Siemens Software 
Organisation Siemens industry Software
Country United Kingdom 
Sector Private 
PI Contribution Research activities
Collaborator Contribution Free licence for Star-CCM+, expertise and supervision of one PhD student
Impact one publication
Start Year 2019