%0 Journal Article
%A WEN Hui-hui
%A YIN Jian-min
%A QIN Zhi-guang
%A XIE Ren-hong
%T Application of BP Neural Network to the Back Analysis of Mechanical Parameters of Tunnel Surrounding Rock
%D 2013
%R 10.3969/j.issn.1001-5485.2013.02.010
%J Journal of Yangtze River Scientific Research Institute
%P 47-51
%V 30
%N 2
%X The aim of this research is to ensure the construction safety and optimize the design of tunnels using information technology. With the construction of Zhuzang tunnel of Gucheng-Zhuxi highway as an engineering background, we predicted the final deformation by regression equation of exponential function deduced from the field displacement measurement data. Subsequently, on the basis of the predicted deformation, we carried out back analysis on the mechanical parameters (deformation modulus <em>E</em>, cohesion <em>C</em>, internal friction angle <em>&phi;</em>) of the tunnel's surrounding rock through BP neural network which has good nonlinear mapping ability. The surrounding rock type and material parameters can be obtained in time to provide parameters for the design and construction of the tunnel. 
%U http://ckyyb.crsri.cn/EN/10.3969/j.issn.1001-5485.2013.02.010