2013
DOI: 10.1007/s13272-012-0050-z
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Hybrid RANS–LES wake studies of an airfoil in stall

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Cited by 10 publications
(4 citation statements)
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“…There are many investigations on flow separation from airfoils and wings [5][6][7][8][9][10][11][12][13], and dedicated experiments are available to verify numerical methods with regard to the prediction of pressure distribution, boundary-layer development, and separation. But, there are only few studies on the development of the separated wake and its spectrum downstream of the trailing edge [14,15]. Experimental investigations on the development of the unsteady wake flowfield are limited to measurements on airfoils at low Reynolds numbers [16].…”
mentioning
confidence: 99%
“…There are many investigations on flow separation from airfoils and wings [5][6][7][8][9][10][11][12][13], and dedicated experiments are available to verify numerical methods with regard to the prediction of pressure distribution, boundary-layer development, and separation. But, there are only few studies on the development of the separated wake and its spectrum downstream of the trailing edge [14,15]. Experimental investigations on the development of the unsteady wake flowfield are limited to measurements on airfoils at low Reynolds numbers [16].…”
mentioning
confidence: 99%
“…The improved version of DES, such as the delayed DES (DDES), has largely solved the grey zone problems inherited in DES. [13][14][15] Another alternative to the classic LES in non-zonal method category is called wall-modelled LES (WMLES) method. 15 It applies a RANS model to cover the very near-wall boundary layer and then switches to the LES formulation for the main part of the boundary layer once the grid spacing becomes sufficient to resolve the local scales.…”
Section: Numerous Hybrid Rans/les Methods Have Beenmentioning
confidence: 99%
“…A number of studies have been dedicated to assessing the efficiency and accuracy of various unsteady Reynolds-averaged Navier-Stokes (URANS) methods in capturing shock buffet [9,10]. In their studies, the numerical schemes [11], turbulence models [11][12][13][14][15], time-step sizes [16], and grids [10,16,17] have all been shown to be crucial in predicting shock oscillation. Recently, Giannelis et al [18,19] also carried out the relevant transonic buffet simulations using the URANS method based on Menter's k-ω SST turbulence model [20] and obtained a good prediction in buffet frequency and shock oscillation amplitude.…”
Section: Introductionmentioning
confidence: 99%