Abstract :
[en] This study evaluates several stabilization strategies for the discontinuous Galerkin Spec-
tral Element Method in scale-resolved simulations of compressible turbulence, with em-
phasis on accuracy, robustness, and computational efficiency. A novel selective entropy-
stable approach (DG-ES) is introduced, which activates entropy stabilization only in
localized regions to enhance robustness while minimizing dissipation. The performance
of DG-ES is benchmarked against artificial viscosity (DG-AV), as well as fully entropy-
stable methods based on Gauss–Legendre (ESDG-GL) and Gauss–Lobatto (ESDG-GLL)
quadratures, across a range of canonical shock–turbulence interaction test cases. Results
show that DG-AV performs well in scenarios involving highly mobile shocks, effectively
resolving both shocks and small-scale turbulence, but its accuracy deteriorates in sta-
tionary shock configurations. Additionally, DG-AV is highly sensitive to the choice and
calibration of its detector. In contrast, entropy-stable methods improve post-shock turbu-
lence accuracy but tend to introduce spurious oscillations near shocks and incur greater
computational cost. The ESDG-GL method suffers from entropy projection errors in
shocklet-dominated regions, while ESDG-GLL is affected by excess dissipation due to
under-integration. DG-ES achieves a favorable balance, accurately capturing turbulence
with reduced sensitivity to detector calibration and maintaining competitive efficiency.
However, like the ESDG-GL, it requires smaller time steps to ensure stability in the
presence of strong shocks, due to the stiffness introduced by the entropy projection.
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