Fuel burn Minimization Including Dynamic Aeroelastic Constraint for Free-flying Vehicle Under Geometrically Nonlinear Deformations
AIAA SCITECH 2023 Forum(2023)
Abstract
In recent times aircraft designs are moving towards configurations featuring higher aspect ratios with the objective of improving aerodynamic performances. As a consequence, geometrically nonlinear deformations become increasingly prevalent, posing additional challenges in the evaluation of aeroelastic stability when accounting for a flutter constraint in a design optimization process. To address this we implemented a nonlinear flutter constraint in a multidisciplinary design optimization of aircraft, instead of a linear one that is currently the standard in this kind of study. The framework developed for this work performs gradient-based optimization of fuel burn considering aggregated constraints. In particular, aeroelastic quantities are computed employing a low-order geometrically nonlinear beam model (making stability considerations tractable for an optimization process) for the wing and differentiated via AD in reverse mode. The implementation is demonstrated with a sample optimization problem featuring a BWB aircraft.
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Key words
dynamic aeroelastic constraint,geometrically nonlinear deformations,minimization,free-flying
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