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Contribution To The Development Of Implicit Large Eddy Simulations Methods For Compressible Turbulent Flows

This work is intended to compare Large Eddy Simulation and Implicit Large Eddy Simulation
(LES and ILES) for a turbulent, non-reacting or reacting high speed H2 jet in co-flowing air,
typical of scramjet engines. Numerical simulations are performed at resolutions ranging from
32&times / 32&times / 128 to 256&times / 256&times / 1024, using a 5th order WENO scheme. Physical LES are carried
out with the Smagorinsky and the Selective Structure Function models associated to molecular
diffusion. Implicit LES are performed with and without molecular diffusion, by solving either
the Navier-Stokes or the Euler equations. In the nonreacting case, the Smagorinsky model is
too dissipative. The Selective Structure Function leads to better results, but does not show any
superiority compared to ILES, whatever the grid resolution. In the reacting case, a molecular
viscous cut-off in the simulation is mandatory to set a physical width for the reaction zone
in the ILES approach, hence to achieve grid-convergence. It is also found that ILES/LES
are less sensitive to the inlet conditions than the RANS approach. The first chapter is an
introduction to the context of this study. In the second chapter, the governing equations for
multispecies reacting flows are presented, with emphasis on the thermodynamic and transport
models. In the third chapter, physical LES equations and explicit sub-grid modeling strategies
iv
are detailed. Some properties of the numerical scheme are also investigated. In chapter four,
the numerical scheme and some aspects of the solver are explained. Finally, non-reacting and
reacting numerical experiments are presented and the results are discussed.

Identiferoai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12614063/index.pdf
Date01 December 2011
CreatorsKaraca, Mehmet
ContributorsAkmandor, Ibrahim Sinan
PublisherMETU
Source SetsMiddle East Technical Univ.
LanguageEnglish
Detected LanguageEnglish
TypePh.D. Thesis
Formattext/pdf
RightsAccess forbidden for 1 year

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