A computational error-assessment of large-eddy simulation (LES) in combination with a discontinuous
Galerkin finite element method is presented for homogeneous, isotropic, decaying turbulence. The
error-landscape database approach is used to quantify the total simulation error that arises from the
use of the Smagorinsky eddy-viscosity model in combination with the Galerkin discretization. We adopt
a modified HLLC flux, allowing an explicit control over the dissipative component of the numerical flux.
The optimal dependence of the Smagorinsky parameter on the spatial resolution is determined for second
and third order accurate Galerkin methods. In particular, the role of the numerical dissipation relative to
the contribution from the Smagorinsky dissipation is investigated. We observed an ‘exchange of dissipation’
principle in the sense that an increased numerical dissipation implied a reduction in the optimal
Smagorinsky parameter. The predictions based on Galerkin discretization with fully stabilized HLLC flux
were found to be less accurate than when a central discretization with (mainly) Smagorinsky dissipation
was used. This was observed for both the second and third order Galerkin discretization, suggesting to
emphasize central discretization of the convective nonlinearity and stabilization that mimics eddy-viscosity
as sub-filter dissipation.
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A computational error-assessment of large-eddy simulation (LES) in combination with a discontinuous
Galerkin finite element method is presented for homogeneous, isotropic, decaying turbulence. The
error-landscape database approach is used to quantify the total simulation error that arises from the
use of the Smagorinsky eddy-viscosity model in combination with the Galerkin discretization. We adopt
a modified HLLC flux, allowing an explicit control over the dissipative component of the numeri...
»