Prediction Methods to Determine Stability of Dam If There is Piping

In the paper, mechanism for generation of piping in dam and key factors that affect the generation of piping are analyzed; eight measured indexes are selected as basis of prediction; such prediction methods as Distance Discriminant Analysis Model and SVM (Support Vector Machine) are established for piping in dam, meanwhile, contrastive analysis for the method has been carried out to neural network method. According to the study of twenty-three actual cases of piping projects in dam, it is showed that Distance Discriminant Method and SVM prediction model are with good performance. SVM that is based on neural network kernel function and Radial Basis Kernel Function has much higher prediction accuracy and SVM method is one effective method to solve issue of piping prediction in dam, which can be used in actual projects.