基于Volterra级数的非线性非定常气动力降阶模型

发展了一种基于Volterra级数的非线性非定常气动力降阶模型。着重探讨了基于CFD／CSD耦合计算的Volterra核辨识方法。CFD／CSD耦合计算采用了一种简单的动网格快速生成方法，气动网格与结构网格节点间的物理信息交换采用一种改进的CVT方法。通过与CFD／CSD直接计算的结果对比，表明非定常气动力Volterra级数模型是一种效率高、精度好、能描述非线性、便于使用的降阶模型，特别适用于预测结构做非定常运动下的非定常气动力。

Reduced-order model based on volterra series in nonlinear unsteady aerodynamics

A reduced-order model based on Volterra series in nonlinear unsteady aerodynamics was investigated in detail.The Volterra kernels were identified by means of CFD/CSD couple simulation.A new simple dynamic grid generation method was used to simulate the transformation of the structure and an improved CVT method was applied to data exchange between aerodynamic grid and structure grid in the CFD/CSD program.And then a reduced order model based on Volterra series was constructed for an airfoil undergoing plunge motions.Comparison of the results between the reduced order model and the direct CFD/CSD couple simulation indicates that the reduced-order model based on Volterra series can reproduce the nonlinear unsteady response of the airfoil excellently.The example demonstrates the method is highly efficient,good accurate and easily usable,which could predict the nonlinear unsteady aerodynamics induced by arbitrary movement of the structure.