DNS 1-6 Quantification of Resolution: Difference between revisions
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Considering now the budgets for the | Considering now the budgets for the wing-body junction simulation, the conclusion obtained comparing the mesh characteristic length and the Kolmogorov length scale (see [[lib:DNS_1-6_quantification_#figure3|Fig. 3]]) still holds. | ||
Indeed, on [[lib:DNS_1- | Indeed, on [[lib:DNS_1-6_quantification_#figure5|Fig. 5]] and [[lib:DNS_1-6_quantification_#figure6|Fig. 6]] are reported the TKE budgets for two different locations, i.e., <math>(x/H,z/H)=(-2.15,0)</math> (the chekpoint streamwise location) and <math>(x/H,z/H)=(-2.125,0.75)</math> (side to the wing, in the region of the horse-shoe vortex), respectively. | ||
In both locations the budget closure has not been achieved. | |||
The oscillating behaviour of the profiles of the different terms can be ascribed to a lack of spatial resolution. | |||
This result suggests that for future campaigns it is recommended to increase further the grid density. | This result suggests that for future campaigns it is recommended to increase further the grid density. | ||
Revision as of 16:38, 17 February 2023
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.
Figure 1: Wing-body junction. Extracted planes for mesh resolution analisys. |
Figure 2: Wing-body junction. Relation between the mesh size and the Taylor microscale. |
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.
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.
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). |
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Considering now the budgets for the wing-body junction simulation, the conclusion obtained comparing the mesh characteristic length and the Kolmogorov length scale (see Fig. 3) still holds. Indeed, on Fig. 5 and Fig. 6 are reported the TKE budgets for two different locations, i.e., (the chekpoint streamwise location) and (side to the wing, in the region of the horse-shoe vortex), respectively. In both locations the budget closure has not been achieved. The oscillating behaviour of the profiles of the different terms can be ascribed to a lack of spatial resolution. This result suggests that for future campaigns it is recommended to increase further the grid density.
References
- 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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