Computational Drag Prediction of the DPW4 Configuration Using the Far-Field Approach

Abstract

This paper presents the computational studies done at ONERA in the context of the 4th AIAA CFD Drag PredictionWorkshop (DPW4). Furthermore, it gives a detailed description of the far-field methods developed in the Applied Aerodynamics Department. Concerning the DPW4 configuration, a grid convergence study and a downwash study are proposed. Then the effects due toMach andReynolds numbers variations are quantified. All the multiblock structured grids used in this work have been provided by The Boeing Company to the drag prediction community. All the Reynolds-averaged Navier–Stokes computations are performed by using the ONERA-elsA solver with the Spalart–Allmaras turbulence model, and the solutions are postprocessed with the ONERA-ffd72 far-field drag-extraction tool. Concerning drag predictions, a very good agreement has been observed between ONERA-elsA results and the near-field drag coefficients (pressure and friction) computed by other DPW4 participants such asBoeing orAirbus.Moreover, the far-field software ffd72 givesONERA the singular capability to determine the values of the different physical drag components (viscous, wave, and lift-induced productions). Concerning the pitching moment, ONERA results are very close to Boeing, Airbus, or DLR, German Aerospace Center predictions.