Modeling crack growth of aluminum alloy under variable-amplitude loading using dynamic neural network

In this article, a new dynamic neural network is developed to model the crack growth process of aluminum alloy under variable-amplitude loading condition. The proposed neural model is incorporated with the feedback loops at the output layer. This model can thoroughly address the dynamics as well as the relationship between the crack growth and variable… CONTINUE READING