山岭隧道围岩变形预警方法及系统研究

Study on Early Warning Method and System for Surrounding Rock Deformation of the Mountain Tunnel

为了能够实现对隧道施工过程中围岩大变形灾害的超前准确预警,以最小二乘支持向量机(LS-SVM)为计算核心,发展建立了一种考虑隧道空间效应的围岩时序变形预警方法,并通过跨平台数据交互检索的方式,开发了山岭隧道围岩变形预警系统,实现了预警结果在建筑信息模型中的表达。立足白狼山隧道工程建立数值计算模型,建立LS-SVM学习样本,以SQL数据库作为数据输出载体,在Revit中进行API接口拓展实现对所输出变形数据状态的定时检查。将所述方法与系统应用于白狼山隧道建设过程中,前期预测数据与实测结果一致性良好,数据传输与建筑信息模型运行通畅,证明了该系统的可行性。结果表明,所述系统能够有效实现对隧道施工过程中围岩大变形灾害预警目的,为隧道建设安全顺利进行提供保障。

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.