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

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.