期刊
COMPUTERS & FLUIDS
卷 220, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compfluid.2021.104887
关键词
Large eddy simulation; High lift configuration; High-order methods; Unstructured meshes
资金
- Air Force Office of Scientific Research [FA9550-16-1-0128, FA9550-20-1-0315]
- U.S. Army Research Office [W911NF-15-1-0505]
- University of Kansas
- Oak Ridge Leadership Computing Facility [DE-AC05-00OR22725]
Recent advancements in adaptive high-order numerical methods, high-order mesh generation, and scalable implicit time integration approaches have made large eddy simulation (LES) more affordable. This study demonstrates the progress by conducting implicit LES of a benchmark problem involving NASA CRM high-lift configuration, showing very good agreement with experimental data.
Recent progress in adaptive high-order numerical methods, high-order mesh generation, and scalable implicit time integration approaches has made large eddy simulation (LES) more affordable than ever before. In the present study, we demonstrate the progress by performing implicit LES of a benchmark problem from the 3rd AIAA High-Lift Prediction Workshop: NASA's Common Research Model (CRM) high-lift configuration. The LES tool, hpMusic, is based on the flux reconstruction method capable of handling high-order mixed unstructured meshes. P-refinement studies are used to assess the mesh-dependence of the numerical solutions. Comparisons are also made with available experimental data, and a very good agreement was obtained in lift and drag coefficients between the present computation and wall-corrected experimental data. (C) 2021 Elsevier Ltd. All rights reserved.
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