Water leakage classification of expressway operationa tunnel based on BP neural network
In this paper,factors influencing the tunnel leakage are analyzed synthetically,based on present situations of water leakage of operational highway tunnel in Chongqing area.Standard of tunnel leakage grade is determined and index system of tunnel leakage model is established by choosing physical geography,surrounding rock,underground water,lining and drainage facilities as the first grade indexes and choosing 12 factors such as vegetation,annual precipitation,and tunnel depth as the second indeXes.Xiu-shan tunnel and Zheng-yang tunnel are selected as evaluation model of training sample from 66 operational tunnels in Chongqing area.The results are the consistent in comparing the neural network evaluation and manual evaluation.It is shown that this model has good applicability in grade evaluation of tunnel leakage,and classification of tunnel leakage could be done quickly and accurately.
tunnel engineering grade evaluation model BP neural network leakage tunnel operational tunnel
Yulin ZOU Chuan HE Yi ZHOU Chaofan YAO Zheng ZHANG
MOE Key Laboratory of Transportation Tunnel Engineering,Southwest Jiaotong University,Chengdu,610031,China
国际会议
沈阳
英文
831-834
2012-09-26（万方平台首次上网日期，不代表论文的发表时间）