Efficient reduced-order modeling of unsteady aerodynamics robust to flight parameter variations
Haojie Liu, Haiyan Hu, Yonghui Zhao, Rui Huang
Abstract: In this study, a computational fluid dynamics (CFD) based reduced-order modeling (ROM) approach robust to flight parameter variations is presented. The approach, which uses Kriging surrogates and recurrence frameworks together for unsteady aerodynamic loads predictions, does not need to reconstruct the ROM with flight parameters changes. To illustrate the approach, the aeroelastic problem of a NACA 64A010 airfoil undergoing pitching and plunging motions at zero mean angle of attack is studied. The results predicted via the proposed approach agree well with those obtained via the high-fidelity CFD solver over the selected range of Mach numbers.
原文链接: https://www.sciencedirect.com/science/article/abs/pii/S0889974614001339
