Multi-fidelity surrogate models for flutter database generation

In this article, multi-fidelity surrogate (MFS) models of critical flutter dynamic pressures as a function of Mach number, angle of attack and thickness to chord ratio are constructed in lieu of solely using computationally expensive high-fidelity engineering analyses. Once an accurate MFS is constructed, it can be used for evaluating a large number of designs for design space exploration as well as of Monte-Carlo samples for uncertainty quantification. To demonstrate that accurate MFS models can be obtained at lower computational cost than high-fidelity ones the well known AGARD 445.6 dynamic aeroelastic test case model is employed. The highest and lowest fidelity levels considered are Euler and panel solutions, respectively, all combined with a modal structural solver. (C) 2019 Elsevier Ltd. All rights reserved.