1999
DOI: 10.1002/(sici)1097-0363(19990515)30:1<65::aid-fld839>3.0.co;2-y
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On numerical errors and turbulence modeling in tip vortex flow prediction

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Cited by 87 publications
(19 citation statements)
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References 16 publications
(33 reference statements)
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“…The FRSM fine grid simulation predicts both peak velocity components to within measurement uncertainty! The data also shows a big success for the very simple "ad hoc" [27] correction term, (referred to as SA w/ correction) particularly for predicting the axial velocity deficit. An interesting observation is that the FRSM coarse grid simulation yields better results (with regard to vortex resolution) than the SA models (both versions) on the fine grid, requires less computational resources, less time to convergence, and solves for Reynolds stresses.…”
Section: 41: Gross Quantities and Grid Independencementioning
confidence: 87%
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“…The FRSM fine grid simulation predicts both peak velocity components to within measurement uncertainty! The data also shows a big success for the very simple "ad hoc" [27] correction term, (referred to as SA w/ correction) particularly for predicting the axial velocity deficit. An interesting observation is that the FRSM coarse grid simulation yields better results (with regard to vortex resolution) than the SA models (both versions) on the fine grid, requires less computational resources, less time to convergence, and solves for Reynolds stresses.…”
Section: 41: Gross Quantities and Grid Independencementioning
confidence: 87%
“…Devenport et al [15] and Heyes et al [18] address this issue. Computational investigations are numerous as well [14,[22][23][24][25][26][27][28]. The majority of computational investigations are focused on grid generation and algorithm development.…”
Section: 3: Tip Vorticesmentioning
confidence: 99%
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