2016
DOI: 10.1016/j.compfluid.2016.01.008
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Assessment of RANS and DES methods for realistic automotive models

Abstract: in particular on the use of embedded LES with synthetic turbulence generation. Finally the computational cost of each approach is compared, which shows that whilst hybrid RANS-LES offer a clear benefit over RANS models for automotive relevant flows they do so at a much increased cost.

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Cited by 126 publications
(80 citation statements)
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References 29 publications
(74 reference statements)
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“…Compared to classical LES methods, DES save orders of magnitude of computing power for high Reynolds number flows, due to the moderated costs of a RANS model in the boundary layer region, but still offers some of the advantage of a LES method in separated regions. A variant of the DES model, like Improved Delayed DES, IDDES, seems to be attractive [3].…”
Section: Introductionmentioning
confidence: 99%
“…Compared to classical LES methods, DES save orders of magnitude of computing power for high Reynolds number flows, due to the moderated costs of a RANS model in the boundary layer region, but still offers some of the advantage of a LES method in separated regions. A variant of the DES model, like Improved Delayed DES, IDDES, seems to be attractive [3].…”
Section: Introductionmentioning
confidence: 99%
“…Following the superior results provided by LES technique, several researchers have focused on a variety of nuances of complex turbulent flows being predicted by LES and its variations 24,[29][30][31] . Realizing the high computational costs involved with LES, relatively less expensive, yet accurate modelling techniques have evolved and been researched upon in recent times which involve the use of partially averaged Navier Stokes (PANS) modelling and hybrid-RANS modelling 24,[32][33][34] . Although such techniques present an advantage over LES in terms of computational cost-effectiveness, RANS modelling performs fairly in capturing the C-pillar vortices and wake region recirculations accurately, as seen in the past, alongside satisfactory prediction of drag and lift coefficients, which could be used for understanding a novel concept in hand within the lowest simulation runtime.…”
Section: Methodsmentioning
confidence: 99%
“…is obtained when the floor under the model is made as no-slip condition (Shinde et al, 2013;Ashton et al, 2016), i.e., the boundary layer is allowed to developed upstream of the model, where up to 7.0% difference in mean D C…”
Section: O X Y T T Cmentioning
confidence: 99%