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- W4312471263 abstract "Due to the high specific strength and stiffness, the use of continuous fiber reinforced composites instead of traditional metal materials to achieve structural lightweight has been widely concerned by designers. However, the complexity of structure brings great challenges to the design and optimization of composite layers. Aiming at the problem of multiple constraints in the design of aviation composite laminates, the ply information of the structure is accurately expressed by gradually constructing design variables. Based on the classical genetic algorithm framework and the characteristics of each design variable, the genetic operators in the layer optimization algorithm was defined, and the “repair” strategy was introduced to ensure that each generation of solutions could satisfy the design constraints and distributed in the feasible region. Finally, the elitist reservation strategy is used to improve the local optimization ability of the algorithm, which can reduce the computational cost of the layer design of complex composite structures. By solving the classical benchmark problem and comparing with the existing optimization results, the global and local optimization ability of the proposed layering optimization algorithm is verified, which provides theoretical support for the optimization of composite layer design in engineering practice." @default.
- W4312471263 created "2023-01-04" @default.
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- W4312471263 date "2022-01-01" @default.
- W4312471263 modified "2023-09-25" @default.
- W4312471263 title "Lamination Design Optimization for Continuous Fiber Reinforced Composites of Variable Thicknesses" @default.
- W4312471263 doi "https://doi.org/10.21656/1000-0887.420410" @default.
- W4312471263 hasPublicationYear "2022" @default.
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