Aeroelastic optimization of commercial aircraft considering high-precision aerodynamic performance

During the design stage of commercial aircraft, aeroelastic tailoring can efficiently improve the wing’s aeroelastic properties. However, the high-precision aerodynamic analysis method used in static aeroelastic analysis is time-consuming and not suitable for tailoring design. This paper proposes an aeroelastic optimization method that considers high-precision aerodynamics. The wing torsion angle and deflection are used to realize a high-precision aeroelastic prediction through the Kriging surrogate model. Additionally, a genetic algorithm is employed to optimize the wing skin and web layup thickness variables while considering stiffness, strength, aerodynamic, and aileron efficiency constraints. The objective is to minimize the structural mass of the wing. The results indicate that the surrogate model error is 0.32%, which realizes the efficient prediction of aerodynamic. Furthermore, the final wing configuration achieves a 20 kg reduction in mass compared to the initial configuration while satisfying the constraints.