An Integrated Approach for Optimization of Honeycomb Sandwich Structure under Impact Load

In this paper weight optimization of sandwich structure consisting of a honeycomb core sandwiched between two layers is presented through the use of Sequential Quadratic Programming & Genetic Algorithm by constraining of certain parameters such as buckling stress, cost and geometry. The variables to be optimized are core height, face sheet thickness and cell thickness for an effective design and better performance of the entire structural system. Sequential Quadratic Programming in Matlaband Genetic Algorithm technique with high robustness is performed and comparison between the two results is made for early convergence of the variables to be optimized. In this way, the structure could easily be monitored for any volatility, and avoid probable failure by employing proper remedial action.