Prediction of blast-induced ground vibration using support vector machine by tunnel excavation

Beijing East Road No.1 tunnel in Guiyang city has the most complexity in arround, so prediction and control the blasting vibration is the most important task. In order to improve the accuracy of the prediction of the blasting vibration to mitigate the possible hazard in tunnel construction, studied on method of predicting peak particle velocity (PPV) using support vector machine (SVM) and established regression prediction model based on SVM. Comparisons between the predicted PPV using the empirical equation regression and SVM was made, find that the SVM gives much better prediction of PPV than does the empirical equation regression.