Abstract:A new strategy for the interpolation of parametric reduced-order models of dynamic aeroelastic systems is introduced. Its aim is to accelerate the numerical exploration of geometrically-nonlinear aeroelastic systems over large design spaces or multiple flight conditions. The parametric reduced-order models are obtained from high-dimensional models by Krylov subspace projection. They are subsequently interpolated to acquire realizations inexpensively anywhere in the parameter space, where having the state-space… Show more
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