English

Performance of wall-modeled LES with boundary-layer-conforming grids for external aerodynamics

Fluid Dynamics 2021-07-06 v1

Abstract

We investigate the error scaling and computational cost of wall-modeled large-eddy simulation (WMLES) for external aerodynamic applications. The NASA Juncture Flow is used as representative of an aircraft with trailing-edge smooth-body separation. Two gridding strategies are examined: i) constant-size grid, in which the near-wall grid size has a constant value and ii) boundary-layer-conforming grid (BL-conforming grid), in which the grid size varies to accommodate the growth of the boundary-layer thickness. Our results are accompanied by a theoretical analysis of the cost and expected error scaling for the mean pressure coefficient (CpC_p) and mean velocity profiles. The prediction of CpC_p is within less than 5%5\% error for all the grids studied, even when the boundary layers are marginally resolved. The high accuracy in the prediction of CpC_p is attributed to the outer-layer nature of the mean pressure in attached flows. The errors in the predicted mean velocity profiles exhibit a large variability depending on the location considered, namely, fuselage, wing-body juncture, or separated trailing-edge. WMLES performs as expected in regions where the flow resembles a zero-pressure-gradient turbulent boundary layer such as the fuselage (<5%<5\% error). However, there is a decline in accuracy of WMLES predictions of mean velocities in the vicinity of wing-body junctions and, more acutely, in separated zones. The impact of the propagation of errors from the underresolved wing leading-edge is also investigated. It is shown that BL-conforming grids enable a higher accuracy in wing-body junctions and separated regions due to the more effective distribution of grid points, which in turn diminishes the streamwise propagation of errors.

Keywords

Cite

@article{arxiv.2107.01506,
  title  = {Performance of wall-modeled LES with boundary-layer-conforming grids for external aerodynamics},
  author = {Adrián Lozano-Durán and Sanjeeb T. Bose and Parviz Moin},
  journal= {arXiv preprint arXiv:2107.01506},
  year   = {2021}
}

Comments

arXiv admin note: text overlap with arXiv:2101.00331