Estimation of structural response to mining-induced blast vibration using support vector machines

摘要

This study applies support vector machines (SVM) to develop a highly nonlinear mapping relationship between the Peak Particle Velocity (PPV) induced in structures and the affecting factors from data taken from field measurements and real structures to predict the structural response to mining-induced blast vibration. In addition, this study examines the feasibility of applying SVMs in the analysis of blast-induced structural vibration response by comparing it with back-propagation neural networks. The application results show that SVM provides a promising alternative for solving the vibration related problems.