Prediction on Stress Concentration Factor of Corrosion Pit Based on GA-BP Neural Network

The highly nonlinear mapping function of artificial neural network enables it to predict the stress concentration factor of corrosion pits. By combing GA（Genetic Algorithm） with BP（Back Propagation） neural network, a GA-BP neural network model was developed to calculate the stress concentration factors of pits with various ratios of depth and diameter on a round bar under axial tension and bending. The results show that GA-BP agrees well with the finite element results（the error is less than 1.5%） and gives a better prediction than BP, indicating that GA-BP model is able to prediction the stress concentration factor.