Abstract
Keywords - Multiaxial fatigue, Artificial neural network, Random loading, Critical location, Critical plane approach
Abstract - A back-propagation neural network was applied to fatigue life prediction under multiaxial random loading. The proposed artificial neural network (ANN) model was demonstrated for predicting the multiaxial fatigue life of an automotive sub-frame. While the conventional methods calculating multiaxial fatigue life with critical plane model require very long time, this method outputs instantaneously result for a given set of input after the ANN model was trained. The performance of the ANN model was evaluated by comparing outputs of the ANN with results of the conventional calculation method and acceptable in most fatigue design considerations. Particularly, this method gave good results in searching critical locations.