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Large-eddy simulation of mixing in a recirculating shear flow

Matheou, Georgios and Bonanos, Aristides and Pantano, Carlos and Dimotakis, Paul E. (2010) Large-eddy simulation of mixing in a recirculating shear flow. Journal of Fluid Mechanics, 646 . pp. 375-414. ISSN 0022-1120.

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The flow field and mixing in an expansion-ramp geometry is studied using large-eddy simulation (LES) with subgrid scale (SGS) modelling. The expansion-ramp geometry was developed to investigate enhanced mixing and flameholding characteristics while maintaining low total-pressure losses. Passive mixing was considered without taking into account the effects of chemical reactions and heat release, an approximation that is adequate for experiments conducted in parallel. The primary objective of the current work is to validate the LES–SGS closure in the case of passive turbulent mixing in a complex configuration and, if successful, to rely on numerical simulation results for flow details unavailable via experiment. Total (resolved-scale plus subgrid contribution) probability density functions (p.d.f.s) of the mixture fraction are estimated using a presumed beta-distribution model for the subgrid field. Flow and mixing statistics are in good agreement with the experimental measurements, indicating that the mixing on a molecular scale is correctly predicted by the LES– SGS model. Finally, statistics are shown to be resolution-independent by computing the flow for three resolutions, at twice and four times the resolution of the coarsest simulation.

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Additional Information:© 2010 Cambridge University Press. Received 23 April 2009; revised 22 October 2009; accepted 22 October 2009. Published online by Cambridge University Press 08 Mar 2010. This work was supported by AFOSR grants FA9550-04-1-0020 and FA9550-04- 1-0389, by the Caltech DOE Advanced Simulation and Computing (ASC) Alliance centre under subcontract No. B341492 of DOE contract W-7405-ENG-48, and NSF grant EIA-0079871. We would like to acknowledge David Hill and Ralph Deiterding for their contributions to and support of the computational framework, and Dan Meiron, Dale Pullin and Antonino Ferrante, for discussions. We would also like to thank the Center for Advanced Computing Research at Caltech and the Livermore Computing center at the Lawrence Livermore National Laboratory for technical assistance.
Funding AgencyGrant Number
Air Force Office of Scientific Research (AFOSR)FA9550-04-1-0020
Air Force Office of Scientific Research (AFOSR)FA9550-04-1-0389
Department of Energy (DOE)B341492
Department of Energy (DOE)W-7405-ENG-48
Record Number:CaltechAUTHORS:20100513-111738152
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:18292
Deposited By: Tony Diaz
Deposited On:08 Jun 2010 04:05
Last Modified:03 Oct 2019 01:40

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