Design of car frontal protection system using neural networks and genetic algorithm

Abstract

Optimal design of the frontal protection system of a car is considered. The study is focused on design of the fastening components. A simple theoretical estimate on deformation energy is given. The carpedestrian collision situation is analyzed by use of the LS-DYNA explicit solver. Corresponding stiffness analysis is performed by use of the LS-DYNA implicit solver. The approximation of the objective and constraint functions is modeled by use of artificial neural network (NN) and search for an optimal design is performed by use of a genetic algorithm (GA). The obtained numerical results are validated against experimental test results.