Optimum Design of Ceramic-Composite Armors Against Ballistic Impact of Projectiles by Genetic Algorithm

One of the most important issues in passive defence is the design of bullet penetration resistant structures and panels. Two-component ceramic-composite armors are widely used in the bulletproof panels. In the recent decades, optimum design of thickness and material of ceramic and composite has been seriously considered by ballistic experts. Florence analytical model provides a good prediction of ballistic limit velocity of ceramic-composite armors. In this paper, based on the Florence and Bendor model, an effective methodology for optimum design of two-component ceramic-composite armors is presented, by a genetic algorithm solving technique. The design goal is achieving a minimum areal density for a given ballistic limit velocity of armor. The criterion is having the highest level of protection. In this method, material and thickness of ceramic and composite layers are considered as the design parameters. Using the results of the optimal solution, armors are designed to be resistant against two types of bullets with 7.62 and 12.7 mm caliber for different distances from target to firing place.