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• W4385983232 abstract "AbstractIn this work, optimization strategies employing a standard heuristic free-derivative algorithm combined with a first-order gradient approach are used to maximize the flutter or divergence airspeed, using the fibre material orientations as design variables. The aeroelastic stability analysis calculations are performed by a classical PK method. The finite element method is used to obtain the structural modes and frequencies and the unsteady aerodynamic influence coefficient matrices are obtained with a doublet-lattice model. Numerical studies are performed with a complex 3D model that includes curved surfaces and internal elements such as spars and ribs. The main goal of the article is to use the heuristic part with a small number of parameters, to reduce the design space and provide an efficient initial guess for the gradient search, so that the optimization complexity is substantially reduced. Results for constant and variable stiffness composite wings are presented for laminates with different numbers of plies. It is shown by several examples that the pres.Keywords: Aeroelasticityparticle swarm optimizationmethod of moving asymptotesflutterdivergence Data availability statementThe data that support the findings of this study are available from the corresponding author, C. E. Souza, upon reasonable request.Disclosure statementThe authors report there are no competing interests to declare.Additional informationFundingDaniel M. De Leon would like to give thanks for the financial support of the Research Support Foundation of the State of Rio Grande do Sul, FAPERGS [grant number 19/2551-0001255-1]." @default.
• W4385983232 created "2023-08-19" @default.
• W4385983232 creator A5068592421 @default.
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• W4385983232 date "2023-08-17" @default.
• W4385983232 modified "2023-10-14" @default.
• W4385983232 title "A two-level strategy for aeroelastic optimization of a 3D wing with constant and variable stiffness skins" @default.
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• W4385983232 doi "https://doi.org/10.1080/0305215x.2023.2243455" @default.
• W4385983232 hasPublicationYear "2023" @default.
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