Optimization of curved sandwich panel with magneto-rheological core using genetic algorithm

Abstract- In this study, single-objective and multi-objective optimization of curved sandwich panel which have composite sheets and magneto-rheological core is performed to maximize the first modal loss factor and to minimize the mass using genetic algorithm. The studied sandwich panel is curved and has simply support conditions. In order to derive the governing equations of motion, improved high order sandwich panel theory and Hamiltonʹs principle are used for the first time. The face sheet thickness, core thickness, fiber angles and intensity of the magnetic field has been considered as optimization variables. In single-objective optimization, the optimized values of variables were calculated. The results showed that the structures tend to have thick core and thin face sheets which seems physically true. In multi-objective optimization the Pareto front of optimal technique was presented. Then for the first time at this field, the set of optimal points are selected based on TOPSIS method. Keywords - , , , .