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双连拱隧道围岩变形有限元与BP神经网络耦合分析
引用本文:张孟喜,李钢,冯建龙,贺小强.双连拱隧道围岩变形有限元与BP神经网络耦合分析[J].岩土力学,2008,29(5):1243-1248.
作者姓名:张孟喜  李钢  冯建龙  贺小强
作者单位:上海大学,土木工程系,上海,200072
基金项目:留学回国人员科研基金 , 上海市教委资助项目
摘    要:以浙江金(华)-丽(水)-温(州)高速公路永嘉鹿城段的红枫双连拱隧道为工程背景,建立了基于神经网络的连拱隧道围岩变形预测模型.利用施工过程中左洞量测的围岩变形进行反分析,确定出围岩的力学特性参数,再通过数值分析方法对隧道右洞围岩变形和稳定性做出合理的评价和符合实际的预测,从而更有效地对支护参数和施工方法进行反馈设计.通过预测值与实际监测值的比较可以看出,其预测精度满足岩土工程的要求,具有一定的工程意义.

关 键 词:耦合分析  有限元  神经网络  变形预测  连拱隧道  反分析  双连拱隧道  围岩变形  有限元  神经网络  耦合分析  BP  neural  networks  tunnel  rocks  surrounding  analysis  工程意义  岩土工程  预测精度  比较  监测值  预测值  反馈设计  施工方法  支护参数  评价
文章编号:1000-7598-(2008)05-1243-06
收稿时间:2006-08-24
修稿时间:2006年8月24日

Coupling analysis of surrounding rocks in double-arch tunnel by FE and BP neural networks
ZHANG Meng-xi,LI Gang,FENG Jian-long,HE Xiao-qiang.Coupling analysis of surrounding rocks in double-arch tunnel by FE and BP neural networks[J].Rock and Soil Mechanics,2008,29(5):1243-1248.
Authors:ZHANG Meng-xi  LI Gang  FENG Jian-long  HE Xiao-qiang
Institution:Department of Civil Engineering, Shanghai University, Shanghai 200072, China
Abstract:A deformation prediction model of surrounding rocks in double-arch tunnel based on BP neural network was established with a practical project. Mechanical parameters of surrounding rocks were obtained by back analysis method based on measured data in left tunnel. Deformation prediction and stability analysis of surrounding rocks in right tunnel were carried out by finite element analysis. The proposed prediction model made feedback design on supporting parameters and construction method more effective. By Comparison, it is shown that the results of prediction are in good agreement with those measured in situ. It can meet the requirement of geotechnical engineering.
Keywords:coupling analysis  finite element  neural network  deformation prediction  double-arch tunnel  back-analysis  
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