Optimum stacking sequence design of fiber-metal laminates for using genetic algorithm

Abstract

This research uses genetic algorithms to study the optimal design of FML subject to Various loading conditions. To analyze the FML, the finite element method based on shear deformation theory is used. Tasi-Hill failure criterion and Miser yield criterion are used as the fitness functions of the fiber prepreg and the metal laminate, and the ply orientation angles are design variables. In the genetic algorithm, tournament selection and the uniform crossover method are used. The elitist model is also used for an effective evolution strategy and the creeping random search method is adopted in order to approach the solution with high accuracy. Optimization results are given for various loading conditions and compared with CFRP(Carbon Fiber Reinforced Plastic). The results show that the FML is more excellent than the CFRP in most of the loading conditions. Especially the FML shows good mechanical performances in point loading conditions and it is more stable to unexpected loading.