Gray Residual Difference Identification Prediction Method on Fatigue Crack Growth

The processing of fatigue crack data is critical in the fatigue lifetime evaluation and fatigue prediction, because the data which seem to have no evident correlation, involve all the fatigue information. It is important to establish a mathematical model with these data better. In this paper, the gray theory residual difference identification prediction model is established with the fatigue data which obtained from the corrosion fatigue crack growth. The result shows that the gray residual difference identification prediction model has relative good predication accuracy and flexibility.