Study on the Multi-Classification SVM Model of Surrounding Rock Deformation Susceptibility Evaluation Based on RBF Kernel
In the construction of tunnel,subway and other projects,with the gradual increase of excavation depth,the ground stress gradually increases,and the risk of surrounding rock deformation resulting in collapse and rock burst significantly increases,which poses huge challenges to engineering construction and safety.The support vector machine(SVM),which supports a small number of samples and can effectively prevent"overfitting",is used in the multi-classification and evaluation of the susceptibility of tunnel surrounding rock deformation.Using a small number of samples to analyze the general situation of surrounding rock in the engineering area and solve the problem of susceptibility classification,not only reduces the cost of manpower and material resources,but also makes the evaluation more intelligent and simple.In this paper,based on the engineering background of the construction of a tunnel in the SG3 standard space of an airport,the SVM model for the establishment and optimization of RBF core was evaluated by the actual situation of the study area and the results show that the SVM model has high prediction accuracy and is suitable for the susceptibility evaluation of surrounding rock deformation.
surrounding rock deformationsusceptibility evaluation modelsupport vector machineradial basis function
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