The unsteady flow field around a moving airfoil section was obtained by solving the Euler equation. The CUDA programming language was used to provide a parallel computing capacity on GPU. The ARMA(auto-regressive-moving-average) model was used to identify the unsteady aerodynamic forces, and simulation results using the identified aerodynamic model of the system identification agree well with those using the full ordered CFD model. Furthermore, the transonic flutter of the Isogai Wing with an Stype flutter boundary, which is the standard example in aero-elasticity, was calculated. The approach presented can greatly improve the efficiency of computing without loss of accuracy.
黄灿,赵永辉.基于CFD系统辨识的气弹分析及GPU并行算法初探[J].动力学与控制学报,2015,13(2):86~91; Huang Can, Zhao Yonghui. Identification of cfdbased aeroealstic analysis and gpu parallel computing[J]. Journal of Dynamics and Control,2015,13(2):86-91.