Institute of Aeronautical Technology, Japan Aerospace Exploration Agency (JAXA)
Institute of Aeronautical Technology, Japan Aerospace Exploration Agency (JAXA)
Institute of Aeronautical Technology, Japan Aerospace Exploration Agency (JAXA)
Institute of Aeronautical Technology, Japan Aerospace Exploration Agency (JAXA)
Institute of Aeronautical Technology, Japan Aerospace Exploration Agency (JAXA)
Institute of Aeronautical Technology, Japan Aerospace Exploration Agency (JAXA)
Institute of Aeronautical Technology, Japan Aerospace Exploration Agency (JAXA)
出版者（英）
American Institute of Aeronautics and Astronautics (AIAA)
雑誌名
Journal of Aircraft
巻
51
号
4
ページ
1244 - 1267
発行年
2014-07
抄録（英）
This paper summarizes studies using the multiblock structured grid solver UPACS and an unstructured grid solver FaSTAR by the Japan Aerospace Exploration Agency for the fifth AIAA Computational Fluid Dynamics Drag Prediction Workshop test cases and follow-on problems. Computations are performed on a series of multiblock structured grids provided by the Workshop committee. For FaSTAR, the grids are treated as unstructured hexahedral grids. Other sets of multiblock structured grids and unstructured grids generated at the Japan Aerospace Exploration Agency are also used for computations. The following is mainly discussed: 1) grid-convergence studies for Spalart-Allmaras and shear-stress transport turbulence models using UPACS and far-field drag analyses using postprocessing software called TEBUNCO, cooperatively developed at the Japan Aerospace Exploration Agency and the University of Naples “Federico II”; 2) investigation of side-of-body flow-separation behavior at high angles of attack using UPACS with the Spalart-Allmaras or shear-stress transport model, and the change with and without a nonlinear quadratic constitutive relation model; and 3) validation of FaSTAR with the automatic hexahedral grid generator HexaGrid.
内容記述
形態: カラー図版あり
内容記述（英）
Physical characteristics: Original contains color illustrations
Japan Aerospace Exploration Agency Studies for the Fifth AIAA Drag Prediction Workshop
