Risk Prediction of Water Inrush of Karst Tunnels Based on BP Neural Network

doi:10.3973/j.issn.1672-741X.2016.11.008

Tunnel Construction ›› 2016, Vol. 36 ›› Issue (11): 1337-1342.DOI: 10.3973/j.issn.1672-741X.2016.11.008

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Risk Prediction of Water Inrush of Karst Tunnels Based on BP Neural Network

YANG Zhuo， MA Chao

(State Key Laboratory of Disaster Prevention and Mitigation of Explosion and Impact, PLA University of Science and Technology, Nanjing 210007, Jiangsu, China)

Received:2016-01-12 Revised:2016-05-30 Online:2016-11-20 Published:2016-11-30

Abstract

Abstract:

The hydrogeological conditions of karst tunnel is statistically studied and comprehensively analyzed; and the main factors for the risk evaluation of water inrush of karst tunnel, i.e. geology, ground lithology, groundwater level, topography, strata inclination and surrounding rock fracture, are selected, so as to evaluate the water inrush risk of karst tunnel precisely and further reduce the water inrush risk. Due to the great difference among influencing factors under different hydrogeological conditions, the risk prediction of water inrush of karst tunnels based on BP neural network is adopted. The application results of abovementioned risk prediction method coincide with the actual situation. The abovementioned method is rational and can be used for reference.

Key words: karst tunnel, water inrush, BP neural network, risk prediction, advanced geological prediction

CLC Number:

U 45

YANG Zhuo， MA Chao. Risk Prediction of Water Inrush of Karst Tunnels Based on BP Neural Network[J]. Tunnel Construction, 2016, 36(11): 1337-1342.

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Risk Prediction of Water Inrush of Karst Tunnels Based on BP Neural Network

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