2018
DOI: 10.1016/j.compfluid.2017.05.013
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On the use of a high-order discontinuous Galerkin method for DNS and LES of wall-bounded turbulence

Abstract: We assess the performance of a high-order discontinuous Galerkin (DG) approach to simulate wall-bounded turbulent flows for a range of Reynolds numbers. First, a plane channel flow configuration with turbulent heat transfer at Re τ = 640 is considered. Second, a detached flow configuration is investigated. This configuration represents the flow over periodically arranged hills. Four bulk Reynolds numbers Re b are considered: 2 800, 10 595, 19 000, and 37 000. For Re b = 2 800 direct numerical simulation (DNS) … Show more

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Cited by 42 publications
(37 citation statements)
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References 52 publications
(74 reference statements)
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“…A very good compliance is obtained for the mean velocity components. The u -profiles obtained on the finest grid (512 × 256 × 256) are closer to the DG ones [75] than to those of the RT-LES with 256 × 128 × 128 points. Small discrepancies are noted for the vertical velocity profiles at x/ h = 2 and 6 with PIV measurements.…”
Section: Results At Re=19000mentioning
confidence: 54%
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“…A very good compliance is obtained for the mean velocity components. The u -profiles obtained on the finest grid (512 × 256 × 256) are closer to the DG ones [75] than to those of the RT-LES with 256 × 128 × 128 points. Small discrepancies are noted for the vertical velocity profiles at x/ h = 2 and 6 with PIV measurements.…”
Section: Results At Re=19000mentioning
confidence: 54%
“…Small discrepancies are noted for the vertical velocity profiles at x/ h = 2 and 6 with PIV measurements. At these locations, the 256 × 128 × 128 RT-LES is closer to the experimental points, and the 512 × 256 × 256 RT-LES is closer to the DG-LES [75]. The LES with the 512 × 256 × 256 grid is however in better agreement with PIV data than other LES at x/ h = 8, which was identified as a location sensitive to grid refinement.…”
Section: Results At Re=19000mentioning
confidence: 66%
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“…The simulation results presented here have been performed using the compressible DG solver Aghora developed at ONERA described in [1,2]. The DG discretization is based on a modal approach, and over-integration is performed for de-aliasing purposes.…”
Section: Introduction and Numerical Methodsmentioning
confidence: 99%