The Application of Support Vector Machine in Surrounding Rock Classification

Abstract

The surrounding rock stability classification of tunnel is an important basis for the engineering design, construction, risk assessment and to lay down appropriate engineering measures. The present paper gives a brief introduction to the common method of rock classification in today’s and influence factors to the stability of surrounding rock. It lays emphasis on the nature of rock and rock structure impact on the surrounding rock stability. And then to take rock integrity coefficient, surface structure friction coefficient, coefficient of saturated rock firm and rock longitudinal wave velocity coefficient as Index of the surrounding rock stability classification, classify the surrounding rock stability with relevant data in historical documents by using support vector machine. The results prove that the classification of support vector machine in surrounding rock stability is feasible. It should be noted that support vector machine classification depend on the training sample data and optimal choice of sample data need further study.