Two-Objective Stacking Sequence Optimization of a Cylindrical Shell Using Genetic Algorithm

In this paper, the stacking sequence optimization of a laminated cylindrical shell has been studied for obtaining maximum natural frequency and buckling stress, simultaneously. An anisotropic cylindrical shell has a finite length with simply supported conditions at both ends. Three-dimensional elasticity approaches are used for free vibration analysis and the buckling stress function is based on the theory of classic shells. A genetic algorithm is used for optimization and, regarding the two-objective problem, a Pareto optimally curve is used to help determine the best way to simultaneously satisfy all objectives. Finally, numerical results are presented for the optimization of a six-layer cylindrical shell.