DNS 1-6 Quantification of Resolution

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Quantification of resolution

This section provides details of the solution accuracy obtained by tackling the wing-body junction DNS with MIGALE. After providing details of the mesh resolution in comparison with spatial turbulent scales, a discussion on the closure of the Reynolds stress equations budgets is given.

Mesh resolution

The mesh resolution is quantified by comparing the mesh characteristic length () with the characteristic lengths of the turbulence, i.e., the Taylor microscale () and Kolmogorov length scale (). Here, the mesh characteristic length takes into account the degree of the DG polynomial approximation. In particular, it is defined as the cubic root of the ratio between the mesh element volume and the number of DoFs within the mesh element per equation

In order to analize the mesh resolution, five planes have been extracted within the highly resolved region of the turbulent flow, see Fig. 1. Planes A and B are parallel to the horizontal solid wall () and are placed at and , respectively. Planes C and D are perpendicular to the streamwise direction and are extracted at (location of maximum wing thickness) and (behind the wing trailing edge), respectively, being the wing leading edge streamwise coordinate. Plane E is the test case geometric symmetry plane ().

The comparison with respect to the Taylor microscale is shown in Fig. 2. For all the planes extracted, the ratio is lower than 0.6. Accordingly, the current space resolution is sufficient to capture turbulence scales in the intertial range.

In Fig. 3 is reported the comparison with respect to the Kolmogorov length scale. It is commonly accepted that DNS requirements are achieved when . In all planes considered it is clearly visible a region around the wing in which the ratio is greater than 8, even if lower than 10. This region is characterized by the presence of the horse-shoe vortex. Besides, for plane D and E it can be noticed an additional region of high ratio downstream the wing trailing edge, close to the symmetry plane. This is the region where the turbulent boundary layer developed above the wing solid wall is moving downstream and generating a wake. As outcome, the DNS requirements are not fulfilled for the current simulation. For such reason the present study is referred to as under-resolved DNS (uDNS). For future highly resolved simulations mesh refinement is advised in these regions. We want to point out that the accurate simulation of the wake behind the wing away from the horizontal boundary layer is out of the scope of the current computational campaign and, thus, the low mesh resolution in such region was expected as the computational grid has been coarsened along the vertical (normal to the horizontal solid wall) region due to computational cost constraints.

DNS1-6 Wing-body junction scale planes.png
Figure 1: Wing-body junction. Extracted planes for mesh resolution analisys.


DNS1-6 Wing-body junction Taylor scale plane A.png
DNS1-6 Wing-body junction Taylor scale plane B.png
DNS1-6 Wing-body junction Taylor scale plane C.png
DNS1-6 Wing-body junction Taylor scale plane D.png
DNS1-6 Wing-body junction Taylor scale plane E.png
Figure 2: Wing-body junction. Relation between the mesh size and the Taylor microscale.


DNS1-6 Wing-body junction Kolmogorov scale plane A.png
DNS1-6 Wing-body junction Kolmogorov scale plane B.png
DNS1-6 Wing-body junction Kolmogorov scale plane C.png
DNS1-6 Wing-body junction Kolmogorov scale plane D.png
DNS1-6 Wing-body junction Kolmogorov scale plane E.png
Figure 3: Wing-body junction. Relation between the mesh size and the Kolmogorov length scale.


The average wall resolution in streamwise (), spanwise () and wall-normal () directions at different locations on the horizontal solid wall is reported in Tab. 1.

Table 2: Wall space resolution at different locations. is the wing leading edge - horizontal solid wall intersection point


Solution verification

One way to verify that the DNS are properly resolved is to examine the budget of the Reynolds-stress equations and the turbulent kinetic energy (TKE) equation.

As first step, an assessment of code MIGALE in closing the budgets is performed. Fig. 4 reports the budget of streamwise Reynolds-stress and TKE equations in a channel flow at using a DG polynomial approximation of degree 5 on a mesh of hexahedral elements (10.5 million DoF/eqn.). Domain dimension and reference results are given by DNS of Moser et al. (1999). As the maximum value of the residual is and of the production peak for the Reynolds-stress xx and the TKE budgets, respectively, the results show that MIGALE code can close well the budgets when sufficient spatial and time resolution is considered.

Channel UniBG MIGALE Re xx budget.png Channel UniBG MIGALE TKE budget.png
Figure 4: Channel flow at Reynolds-stress xx and TKE budgets: dissipation , production , turbulent diffusion , pressure diffusion , viscous diffusion and pressure strain . Solid lines from the DG P5 computation and symbols from Moser et al. (1999).


References

  1. Moser, R. D., Kim, J., Mansour, N. N. (1999): Direct numerical simulation of turbulent channel flow up to Re_tau 590. Physics of Fluids, Vol. 11(4), pp.943-945.




Contributed by: Alessandro Colombo (UNIBG), Francesco Carlo Massa (UNIBG), Michael Leschziner (ICL/ERCOFTAC), Jean-Baptiste Chapelier (ONERA) — University of Bergamo (UNIBG), ICL (Imperial College London), ONERA

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Description

Computational Details

Quantification of Resolution

Statistical Data

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Storage Format


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