Study on Early Warning Method and System for Surrounding Rock Deformation of the Mountain Tunnel
In order to realize the advanced and accurate early warning of large deformation disasters of surrounding rock during tunnel construction,a time series deformation early warning method of surrounding rock considering the spatial effect of tunnel is developed with the least squares support vector machine(LS-SVM)as the calculation core.Through cross-platform data interactive retrieval,the early warning system for surrounding rock deformation of the mountain tunnel is developed,and the expression of early warning results in building information model is realized.Based on the Bailangshan tunnel project,the numerical calculation model is established,and the LS-SVM learning sample is established.The SQL database is used as the data output carrier,and the API interface is expanded in Revit to realize the regular inspection of the output deformation data state.The method and system is applied to the construction process of Bailangshan Tunnel.The preliminary prediction data are in good agreement with the measured results,and the data transmission and building information model run smoothly,which proves the feasibility of the system.The results show that the system can effectively realize the purpose of early warning for large deformation disaster of surrounding rock during tunnel construction,and provide guarantee for the safe and smooth construction of tunnel.
tunnel constructionsurrounding rock deformationearly warning methodwarning system
NETL
NSTL
万方数据
