摘要
岩爆是高地应力区岩质隧道开挖施工过程中发生的主要施工地质灾害之一,它的发生对隧道施工企业的安全生产构成很大的威胁,对岩爆发生可能性及其程度的预测是这类隧道设计、施工及安全生产所面临的重大问题。依据隧道岩爆发生的条件,基于国内外隧道及地下工程岩爆实例,应用人工神经网络方法,建立了岩爆危险性预测的评价模型并应用vc＋＋6.0实现了该评价模型,将其运用到武隆隧道的岩爆预测中,取得了良好的效果。
Rock burst is one of the main geological hazards occurred in the construction of Rock Tunnel during the excavation process in regions with high geo-stress.Its occurrence caused great threat to the production safety of the tunnel construction enterprises.Prediction of the possibility and degree of rock bursts is a major problem to be solved for design,construction and safe production of this type of tunnels.This paper,according to the conditions of the tunnel rock burst,based on rock burst in tunnel and underground works at home and abroad,and using artificial neural network method,estab-lished an evaluation model for rock-burst risk forecasting and use VC＋＋6.0 to implement the evaluation model.The application of the prediction has achieved great success in the rock burst in Wulong Tunnel.
出处
《重庆建筑》
2011年第7期33-36,共4页
Chongqing Architecture
关键词
BP神经网络
武隆隧道
岩爆预测
BP neural network
Wulong Tunnel
rock burst prediction
