WM_AIAA_Journal_Accepted_23-09-2020.pdf (12.12 MB)
Large-eddy simulation with modeled wall stress for complex aerodynamics and stall prediction
journal contribution
posted on 2021-02-16, 09:45 authored by M Angelino, P Fernández-Yáñez, Hao XiaHao Xia, Gary PageGary PageThe aerodynamics of aircraft high-lift devices at near-stall conditions is particularly difficult to predict numerically. The computational requirements for accurate wall-resolved large-eddy simulations are currently prohibitive, whereas Reynolds-averaged Navier–Stokes (RANS) models are generally reliable only for low angles of attack with fully attached boundary layers. Methods such as detached-eddy simulation resolve unsteadiness of the outer boundary layer and can predict separation, but they rely upon a thick RANS layer and highly stretched cells that damp the resolved turbulent fluctuations near the wall. An alternative approach, adopted here, is to extend the LES down to the wall, employing a relatively large near-wall normal grid spacing and avoiding grid stretching and high aspect ratios near the wall. A boundary condition then applies the correct wall shear stress as provided by a semiempirical wall model. An adaptive formulation of this wall-modeled large-eddy simulation is presented here and validated using realistic test cases. Validation using a channel flow case at a range of Reynolds numbers demonstrates accurate results with a seamless transition between fully resolved (y+≈2) and wall resolved (y+≈50). Predictions of the MD-30P/30N airfoil using a modest grid with y+≈100 give excellent agreement with experiments and correctly predict CLmax. Finally, the method is demonstrated for the NASA High-Lift Common Research Model providing surface pressure coefficients and velocity profiles. The predictions using a 50-million-cell mesh (for a full aircraft half-model) are in good agreement with considerably finer-grid RANS solutions. The presented method has considerable potential because it can produce accurate solutions to challenging engineering problems involving separation with modest grid and computational requirements while being robust to variations in near-wall grid spacing.
Funding
Proposal for a Tier 2 Centre - HPC Midlands Plus
Engineering and Physical Sciences Research Council
Find out more...Innovate U.K. “ACAPELLA” project (reference number 113086) in collaboration with Rolls–Royce plc.
University of Castilla–La Mancha [2015/4062]
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Published in
AIAA JournalVolume
59Issue
4Pages
1225-1237Publisher
American Institute of Aeronautics and Astronautics (AIAA)Version
- AM (Accepted Manuscript)
Rights holder
© The AuthorsPublisher statement
This paper was accepted for publication in the journal AIAA Journal and the definitive published version is available at https://doi.org/10.2514/1.J059481.Acceptance date
2020-09-23Publication date
2020-12-29Copyright date
2021ISSN
0001-1452eISSN
1533-385XPublisher version
Language
- en