Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/20085
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dc.contributor.authorTucker, PG-
dc.contributor.authorTyacke, JC-
dc.date.accessioned2020-01-22T22:00:43Z-
dc.date.available2016-01-01-
dc.date.available2020-01-22T22:00:43Z-
dc.date.issued2015-02-24-
dc.identifier.citationApplied Mathematics and Computation, 2016, 272 (3), pp. 582 - 592en_US
dc.identifier.issn0096-3003-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/20085-
dc.descriptionThis paper was an invited contribution for The 9th International Symposium on Numerical Analysis of Fluid Flow and Heat Transfer – Numerical Fluids 2014, Rhodes, Greece.en_US
dc.description.abstract© 2015 The Authors. Published by Elsevier Inc. The future use of eddy resolving simulations (ERS) such as Large Eddy Simulation (LES), Direct Numerical Simulation (DNS) and related approaches in aerospace is explored. The turbulence modeling requirements with respect to aeroengines and aircraft is contrasted. For the latter, higher Reynolds numbers are more prevalent and this especially gives rise to the need for the hybridization of ERS methods with Reynolds Averaged Navier-Stokes (RANS) approaches. Zones where future use of pure ERS methods is now possible and those where hybridizations with RANS will be needed is outlined. The major focus is the aeroengine for which the component scales are much smaller. This gives rise to generally more benign Reynolds numbers. The use of eddy resolving methods in a wide range of zones in an aeroengine is discussed and the potential benefits and also cost drawbacks with such approaches noted. The tension when using such computationally intensive calculations in an area where the coupling of components and even the airframe and engine is becoming increasingly important is explored. Also, the numerical methods and meshing requirements are considered and the implications of ERS methods for future numerical algorithms. It is postulated that such simulations are ready now for niche uses in industry. However, to perform the scale of simulations that industry requires, to meet pressing environmental needs, challenges remain. For example, there is the need to develop optimal numerical methods that both map to the accuracy requirements for ERS and also future computer architectures.en_US
dc.description.sponsorshipRolls-Rolls plc; EPSRC grants: EP/L000261/1; EP/I017771/1; EP/I010440/1; EP/I017747/1; EP/H001395/1; EP/G027633/.en_US
dc.format.extent582 - 592-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectLESen_US
dc.subjectDESen_US
dc.subjectturbulenceen_US
dc.subjectaerospaceen_US
dc.subjectnumerical methodsen_US
dc.titleEddy resolving simulations in aerospace - Invited paper (Numerical Fluid 2014)en_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.amc.2015.02.018-
dc.relation.isPartOfApplied Mathematics and Computation-
pubs.publication-statusPublished-
pubs.volume272-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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