Optimization of curved sandwich panel with magneto-rheological coreusing genetic algorithm

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 toderive the governing equations of motion, improved high order sandwich panel theory and Hamilton's principle are used for the first time. The face sheet thickness, core thickness, fiber angles and intensity of the magnetic field has beenconsidered 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 physicallytrue. 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.

کلیدواژه ها:

Optimization ، Curved Sandwich Panel ، Magneto-Rheological ، Genetic algorithm