EPSRC Reference: |
GR/L56237/01 |
Title: |
DNS-BASED SUBGRID-SCALE MODELLING FOR LARGE-EDDY SIMULATION OF COMPRESSIBLE FLOW |
Principal Investigator: |
Luo, Professor KH |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
School of Engineering & Materials Scienc |
Organisation: |
Queen Mary University of London |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 October 1997 |
Ends: |
31 January 2001 |
Value (£): |
133,134
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EPSRC Research Topic Classifications: |
Aerodynamics |
Fluid Dynamics |
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EPSRC Industrial Sector Classifications: |
No relevance to Underpinning Sectors |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
Large eddy simulation (LES) is a potential generic method for predicting complex turbulent flows of industrial relevance. Recent studies show that success of LES does depend on the subgrid-scale (SGS) model used in the simulation, which itself has not been fully assessed and developed, especially for compressible flow. We propose to use our model-free, accurate direct numerical simulation (DNS) databases to assess and further develop SGS terms in both the momentum and energy equations. Fully validated SGS models will be used to construct LES databases of turbulent impinging round jets. Such databases are highly desired by British Aerospace and the turbulence modelling community in general, for testing advanced turbulence models based on Reynolds averaging.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
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