An artificial neural network approach to fatigue crack growth

This paper proposes a new three-layer artificial neural network (ANN) to predict the fatigue crack length under constant amplitude mode I cyclic loading. It is shown that the proposed model predicts the crack length with an error of less than 0.05%, and more accurately than the current commonly-used models. © (2011) Trans Tech Publications, Switzerland.