通渝隧道围岩变形的神经网络预测  

Prediction of Nerve Network on Surrounding Rock Deformation in Tongyu Highway Tunnel

作　　者：徐林生[1] 王新平[1] 

机构地区：[1]重庆交通学院桥梁及结构工程系,重庆市400074

出　　处：《公路》2004年第3期145-148,共4页Highway

摘　　要：隧道新奥法施工中 ,常以围岩变形量作为评判围岩稳定性和支护结构经济合理性的重要指标。公路隧道围岩变形量是随时间而变化的数据序列 ,因而可以建立一些实时跟踪预测模型和方法。根据通渝隧道围岩拱顶下沉位移变形的特性 ,采用神经网络技术来预测其变形量 ,结果表明该方法简易。The surrounding rock deformation of highway tunnel is an important index to assess its stability and economy effects of support structures in NATM. It is a data column which is related with measuremet time sequence, so some effective models and methods to predicate the surrounding rock deformation can be set up. According to the surrounding rock deformation characteristics of Tongyu Highway Tunnel, the nerve network technology to predict the subsidence displacements is adopted in this paper. The research results show this prediction method is simple and effective.

关 键 词：通渝隧道 围岩变形量 神经网络预测 公路隧道 

分 类 号：U456[建筑科学—桥梁与隧道工程]