Method and system for predicting low-cycle fatigue life of nickel-based superalloy

The invention discloses a nickel-based high-temperature alloy low-cycle fatigue life prediction method and system, and relates to the technical field of low-cycle fatigue life prediction.The method comprises the steps that firstly, feature screening is conducted on input features in an initial data set based on a Pearson's correlation coefficient and a maximum information coefficient, and the initial data set obtained after feature screening is divided into a training set and a test set; constructing a GA-RF regression prediction model by using the training set based on a random forest and a genetic algorithm; using the test set to test the reliability of the model until the prediction precision reaches a preset condition, and obtaining a final GA-RF regression prediction model; and performing low-cycle fatigue life prediction on the target nickel-based high-temperature alloy by using the final GA-RF regression prediction model. The prediction model is short in training time, and the low-cycle fatigue life of