2003 User Group Conference. Proceedings
DOI: 10.1109/dodugc.2003.1253383
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Multidisciplinary applications of detached-eddy simulation to separated flows at high Reynolds numbers

Abstract: This work focuses on multidisciplinary applications of Detached-Eddy Simulation (DES),

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Cited by 2 publications
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“…Beyond validation, the PSD analysis can also be used to aid in quantifying the mesh convergence and/or independence. Some researchers have suggested the evaluation of one or more arbitrary points in the flow to see if the turbulence conforms to the Kolmogorov 5/3 turbulence power law, as a measure of mesh independence (52) . However, this measure of turbulence may not be useful for every case, as it may not be necessary to resolve all of the scales of turbulence to achieve convergence of integrated properties.…”
Section: Quantitative Analysis Of Cfd/csd Predictionsmentioning
confidence: 99%
“…Beyond validation, the PSD analysis can also be used to aid in quantifying the mesh convergence and/or independence. Some researchers have suggested the evaluation of one or more arbitrary points in the flow to see if the turbulence conforms to the Kolmogorov 5/3 turbulence power law, as a measure of mesh independence (52) . However, this measure of turbulence may not be useful for every case, as it may not be necessary to resolve all of the scales of turbulence to achieve convergence of integrated properties.…”
Section: Quantitative Analysis Of Cfd/csd Predictionsmentioning
confidence: 99%
“…In particular, Detached-eddy simulation (DES) method uses the RANS approach in attached boundary layers and the LES mode in separated flows. Since its first formulation based on SA model [24], DES has been validated on various geometries and flow conditions including circular or square cylinder [26], delta wing [6], airplane configuration [16], and the turbulent wake [1]. New formulations have been introduced to include other turbulence models such as k-ω SST [28] and LL k-ε [4], and modifications have been made to improve the performance of the model at ambiguous grid spacing and low Reynolds numbers [23].…”
Section: Introductionmentioning
confidence: 99%