隧道围岩监测位移信息融合模型及应用  

Information Fusion Model of Displacement Monitoring for Tunnel Surrounding Rock and Its Application

作　　者：薛源[1,2] 胡丹[3] 

机构地区：[1]数学地质四川省重点实验室,成都610059 [2]地质灾害防治与地质环境保护国家重点实验室,成都610059 [3]成都理工大学旅游与城乡规划学院,成都610059

出　　处：《地下空间与工程学报》2013年第1期126-134,140,共10页Chinese Journal of Underground Space and Engineering

基　　金：数学地质四川省重点实验室开放基金资助项目(scsxdz2011014)

摘　　要：针对隧道围岩变形位移监测中普遍存在着不能有效充分地综合利用多条测线位移监测数据对围岩整体稳定状态作出准确判断的典型难题,以基于克隆选择原理的免疫算法为基础构造信息融合算法,再结合奇异值分解方法、免疫克隆BP网络和变形速率比值法,建立了隧道围岩监测位移信息融合模型。实际算例表明该模型对隧道围岩监测位移信息具有较强的提取融合和非线性处理分析能力,对围岩整体稳定状态的实时判定具有很高的准确性,为及时选用合理的支护措施提供了可靠的参考价值。Aim at the prevalent,typical and difficult problem in monitoring displacement of tunnel surrounding rock： we can＇t effectively,adequately and synthetically use the displacement data from multiple monitoring lines to determine overall stability of surrounding rock accurately.This article constructs information fusion algorithm based on immune clone algorithm,and sets up information fusion model of displacement monitoring for tunnel surrounding rock with singular value decomposition,immune clone BP network and deformation rate ratio criterion.The result of instance indicates that this model has powerful ability of extracting,fusing and non-linear dealing and analyzing for the displacement monitoring information of tunnel surrounding rock,and it has high accuracy to judge stability of surrounding rock in real-time.The result of this model test has reliable reference value for choosing and using reasonable supporting measures in time.

关 键 词：隧道围岩 稳定性 位移 免疫克隆算法 信息融合 

分 类 号：U45[建筑科学—桥梁与隧道工程]