ISSN 2096-4498
CN 44-1745/U
Tunnel Construction ›› 2012, Vol. 32 ›› Issue (2): 175-179.DOI: 10.3973/j.issn.1672-741X.2012.02.009
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HAO Fei, SUN Quansheng, ZHOU Xiaojie
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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 crosssection soft soil tunnel, convergence, neural network, prediction method
HAO Fei, SUN Quansheng, ZHOU Xiaojie. Prediction of Convergence of Large Crosssection Soft Soil Tunnels Based on Neural Network[J]. Tunnel Construction, 2012, 32(2): 175-179.
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URL: http://www.suidaojs.com/EN/10.3973/j.issn.1672-741X.2012.02.009
http://www.suidaojs.com/EN/Y2012/V32/I2/175
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