[Data] Optimal Design of Composite Material Shells Using ANSYS and PSO

I will explain the optimization method using FEM and discrete PSO, along with an analysis example and a comparison between discrete PSO and GA.

The document "Optimal Design of Composite Material Shells Using ANSYS and PSO" explains optimization methods using FEM and discrete PSO, as well as comparisons between analysis examples and discrete PSO and GA. In the design of composite material structures, there are challenges such as strong anisotropy in strength and stiffness, making numerical analysis like FEM essential. Additionally, design variables include not only the shape and dimensions of the product but also material specifications, requiring simultaneous progress in structural and material design. Moreover, material parameters, which are design variables, are often discrete values, making numerical handling difficult. In the typical design procedure for composite material structures, structural analysis is repeatedly performed using FEM to evaluate the stiffness and buckling strength of the structure while determining the laminate configuration, during which some optimization method is applied. In this analysis case, when determining the laminate configuration of the composite material structure using FEM analysis, a discrete particle swarm optimization algorithm that can handle laminate orientation angles as discrete variables is applied as the optimization method. The results are then compared with those obtained using a genetic algorithm, aiming to evaluate the advantages of the proposed method. For more details, please contact us or download the catalog.

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