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Abstract

The present paper deals with the method of optimum design of laminated composite structures using the finite element method (FEM) and the genetic algorithm (GA) for single-material as well as hybrid laminates. Eight-noded layered elements have been used for 3-D finite element analysis. Weight and cost optimization of Graphite-epoxy/Kevlar-epoxy hybrid composite plate subjected to Tsai-Hill criteria-based design constraint have been carried out. Fiber orientation and material in each lamina, as well as the number of lamina in the laminate have been used as design variables. A multi-objective approach has been used to achieve the optimum design of a laminate for combined weighted cost and weight minimization. The results obtained from the integrated module show that GA with FEM can lead to a global optimal solution for both single as well as multiple objective functions.

Keywords

hybrid composite laminate optimization genetic algorithm finite element method failure criteria

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Multiobjective Optimization of Laminated Composites using Finite Element Method and Genetic Algorithm

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