Nonlinear Buckling Optimization in Laminated Composite Plate Using Genetic Algorithm

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Masoudi, Arvin | 2024

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 57504 (45)
University: Sharif University of Technology
Department: Aerospace Engineering
Advisor(s): Kouchakzadeh, Mohammad Ali
Abstract:
Designing structures made from composite materials is challenging due to the need to select the thickness, number of layers, and fiber orientations. By carefully choosing the lamination sequence, the desired properties can be optimized. Buckling is one of the most critical phenomena in the stability analysis of a structure, as it can lead to failure before the structure reaches its yield point. This thesis investigates the layer configuration of laminated composite plates using a genetic algorithm to maximize the nonlinear buckling critical load. In this approach, the nonlinear behavior of the structure is analyzed up to the critical point, and a genetic algorithm is used to find the global optimum. This algorithm offers a significant advantage in optimization by overcoming local optima, which is a limitation of gradient-based methods. In this thesis, fiber orientation of the composite materials is considered as the design variable, and the optimal layer configuration is calculated to maximize the nonlinear buckling critical load. the results are validated using theoretical methods and relevant literature in this field
Keywords:
Laminated Composite Materials ; Nonlinear Buckling ; Numerical Solution ; Finite Element Method ; Optimization ; Genetic Algorithm ; Nonlinear Behavior

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