Prediction of Convergence of Large Crosssection Soft Soil Tunnels Based on Neural Network

HAO Fei, SUN Quansheng, ZHOU Xiaojie

doi:10.3973/j.issn.1672-741X.2012.02.009

Tunnel Construction >

2012 , Vol. 32 >Issue 2: 175 - 179

DOI: https://doi.org/10.3973/j.issn.1672-741X.2012.02.009

wenzhang

Prediction of Convergence of Large Crosssection Soft Soil Tunnels Based on Neural Network

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(Northeast Forestry University, Harbin 150040, China)

Received date: 2011-11-14

Revised date: 2012-02-27

Online published: 2012-05-03

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Abstract

The convergence of soft soil tunnels is very complex. In the paper, the convergence of soft soil tunnels is predicted by means of BP neural network method, with the construction of the tunnel on Baojian Road in Harbin as an example, so as to simulate the convergence of soft soil tunnels and to provide guidance for the safe construction of soft soil tunnels. The practice proves that the results of prediction by BP neural network are accurate and can provide guidance for the construction of soft soil tunnels.

Key words： large crosssection soft soil tunnel; convergence; neural network; prediction method

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HAO Fei, SUN Quansheng, ZHOU Xiaojie . Prediction of Convergence of Large Crosssection Soft Soil Tunnels Based on Neural Network[J]. Tunnel Construction, 2012 , 32(2) : 175 -179 . DOI: 10.3973/j.issn.1672-741X.2012.02.009

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