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http://dx.doi.org/10.7234/composres.2022.35.5.340

Optimal Structural Design of Composite Helicopter Blades using a Genetic Algorithm-based Optimizer PSGA  

Chang, Se Hoon (Department of Aerospace Information Engineering, Konkuk University)
Jung, Sung Nam (School of Mechanical and Aerospace Engineering, Konkuk University)
Publication Information
Composites Research / v.35, no.5, 2022 , pp. 340-346 More about this Journal
Abstract
In this study, an optimal structural design of composite helicopter blades is performed using the genetic algorithm-based optimizer PSGA (Particle Swarm assisted Genetic Algorithm). The blade sections consist of the skin, spar, form, and balancing weight. The sectional geometries are generated using the B-spline curves while an opensource code Gmsh is used to discretize each material domain which is then analyzed by a finite element sectional analysis program Ksec2d. The HART II blade formed based on either C- or D-spar configuration is exploited to verify the cross-sectional design framework. A numerical simulation shows that each spar model reduces the blade mass by 7.39% and 6.65%, respectively, as compared with the baseline HART II blade case, while the shear center locations being remain close (within 5% chord) to the quarter chord line for both cases. The effectiveness of the present optimal structural design framework is demonstrated, which can readily be applied for the structural design of composite helicopter blades.
Keywords
Rotor blade; Structural optimization; Genetic algorithm; Cross-section analysis;
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