›› 2008, Vol. 29 ›› Issue (5): 1243-1248.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

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   

  1. Department of Civil Engineering, Shanghai University, Shanghai 200072, China
  • Received:2006-08-24 Online:2008-05-10 Published:2013-07-24

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.

Key words: coupling analysis, finite element, neural network, deformation prediction, double-arch tunnel, back-analysis

CLC Number: 

  • U 459
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
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