A comparative study on polynomial dealiasing and split form discontinuous Galerkin schemes for under-resolved turbulence computations
Andrew R. Winters, Rodrigo C. Moura, Gianmarco Mengaldo and, Gregor J. Gassner, Stefanie Walch, Joaquim Peiro, Spencer J. Sherwin

TL;DR
This paper compares polynomial dealiasing techniques and split form discontinuous Galerkin schemes to improve accuracy and stability in high-Reynolds-number turbulence simulations, focusing on the Taylor-Green vortex flow.
Contribution
It introduces a detailed comparison of consistent/over-integration and split form discretizations for DG methods in turbulence computations, highlighting their effects on accuracy and stability.
Findings
Split forms better preserve energy in high-order modes.
Split form approaches show improved dealiasing properties.
Comparison demonstrates differences in robustness and accuracy.
Abstract
This work focuses on the accuracy and stability of high-order nodal discontinuous Galerkin (DG) methods for under-resolved turbulence computations. In particular we consider the inviscid Taylor-Green vortex (TGV) flow to analyse the implicit large eddy simulation (iLES) capabilities of DG methods at very high Reynolds numbers. The governing equations are discretised in two ways in order to suppress aliasing errors introduced into the discrete variational forms due to the under-integration of non-linear terms. The first, more straightforward way relies on consistent/over-integration, where quadrature accuracy is improved by using a larger number of integration points, consistent with the degree of the non-linearities. The second strategy, originally applied in the high-order finite difference community, relies on a split (or skew-symmetric) form of the governing equations. Different…
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