Abstract This paper presents an algorithm to compute the aerodynamic forces and moments of an aeroelastic wing undergoing large amplitude heave and pitch limit cycle oscillations. The technique is based on inverting the equations of motion to solve for the lift and moment experienced by the wing. Bayesian inferencing is used to estimate the structural parameters of the system and generate credible intervals on the lift and moment calculations. The inversion technique is applied to study the affect of mass coupling on limit cycle oscillation amplitude. Examining the force, power, and energy of the system, the reasons for amplitude growth with wind speed can be determined. The results demonstrate that the influence of mass coupling on the pitch–heave difference is the driving factor in amplitude variation. The pitch–heave phase difference not only controls how much aerodynamic energy is transferred into the system but also how the aerodynamic energy is distributed between the degrees of freedom.

中文翻译：

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气动弹性逆：估计大振幅极限循环振荡期间的气动载荷

摘要 本文提出了一种计算气动弹性机翼在大幅升沉和俯仰极限循环振荡下的气动力和力矩的算法。该技术基于反转运动方程来求解机翼所经历的升力和力矩。贝叶斯推理用于估计系统的结构参数并生成升力和力矩计算的可信区间。应用反演技术研究质量耦合对极限环振幅的影响。检查系统的力、功率和能量，可以确定振幅随风速增长的原因。结果表明，质量耦合对纵摇差异的影响是幅度变化的驱动因素。