Gradient-Based Aero-Stealth Optimization of a Simplified Aircraft

Gradient-Based Aero-Stealth Optimization of a Simplified Aircraft

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Modern fighter aircraft increasingly need to conjugate aerodynamic performance and low observability.In this paper, we showcase a methodology for a gradient-based bidisciplinary aero-stealth optimization.The shape of the aircraft is parameterized with the help of a CAD modeler, and we optimize it with the SLSQP algorithm.The drag, computed with the help of a RANS method, Posições verticalizadas no parto e a prevenção de lacerações perineais: revisão sistemática e metanálise is used as the aerodynamic criterion.For the stealth criterion, a function is derived from the radar cross-section in a given cone of directions and weighed with a function whose goal is to cancel the electromagnetic intensity in a given direction.

Stealth is achieved passively by scattering back the electromagnetic energy away from the radar antenna, and Apprendere al museo la musica come storia: didattica museale e costruzione delle conoscenze storico-musicali no energy is absorbed by the aircraft, which is considered as a perfect conductor.A Pareto front is identified by varying the weights of the aerodynamic and stealth criteria.The Pareto front allows for an easy identification of the CAD model corresponding to a chosen aero-stealth trade-off.