基于模糊小波神经网络的岩溶隧道风险评估及综合超前地质预报技术  

Risk Evaluation and Comprehensive Geological Prediction Based on Fuzzy Wavelet Neural Network during Tunneling in Karst Area

作　　者：李志林[1] 王星华[1] 谢李钊[1] 

机构地区：[1]中南大学土木工程学院,湖南长沙410075

出　　处：《现代地质》2013年第3期719-726,共8页Geoscience

基　　金：国家"863"计划项目(2007AA11Z134)

摘　　要：针对岩溶隧道突水风险评估的不确定性和复杂性以及传统的数学方法在评估安全风险等级中的局限性,将人工神经网络理论、小波分析及模糊评价法有机结合,建立了基于模糊小波神经网络的岩溶突水安全风险评估模型。根据各种物探方法的优缺点和对岩溶水预报的敏感性,结合综合超前地质预报方法和原则,提出地质分析、风险等级划分、分级综合预报及施工地质灾害临近警报技术相结合的综合地质预报方案。通过在齐岳山岩溶隧道实施,成功预报了隧道掌子面前方的岩溶水,证实了该方案的科学性和可行性。Focused on the uncertainty and complexity of risk assessment of karst tunnels and limitation of current methods,the artificial neural network（ANN）,wavelet analysis and fuzzy mathematics were integrated.A model of risk assessment of karst tunnels based on fuzzy wavelet neural network（FWNN） was established.According to the advantages and disadvantages of various geophysical methods and the sensitivity of forecasting karst water,and with the method and principle of the comprehensive geological prediction,this study proposed the geological prediction program combined with geological analysis,risk classification,grading prediction and geological disasters approaching alarm technology.In the implementation of risk evaluation on Qiyue Mountain karst tunnel,the karst water is successfully forecasted,and the scientificity and feasibility of the program are proved to be validated.

关 键 词：岩溶隧道 风险评估 模糊评价 小波分析 人工神经网络 综合超前地质预报 

分 类 号：P642.2[天文地球—工程地质学]