Aeroelastic optimization design of composite materials blade based on RBF/ROM and CCA reliability analysis

Abstract

Carbon fiber composites have been widely used in rotor blades due to their excellent mechanical performance, lightweight and designing flexibility. The modern fluid–structure interaction approaches, which could generate high fidelity results, are usually adopted to account for complex rotor flow field and structural geometrical nonlinearity. But the CFD-FEA coupling methods require tremendous computational resources, making these methods unsuitable for optimization problems. In order to balancing the accuracy and computational efficiency, a reduced order model was established to replace CFD solver, via Principal Component Analysis and radial basis function neural networks. The re-modeling of aerodynamic loads shows high accuracy and acceptable computation time, compared with full CFD/FEA coupling. Finally, the design of a typical composite helicopter blade was optimized through the ROM based aeroelastic analysis combined with canonical correlation analysis model, and the obtained results demonstrate the validity and efficiency of the presented methods.