【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于实践。更多还原

【Abstract】 Rock blast is one of the main geological hazards during tunnel construction at high land stress zone. Rock blast greatly threatens the production safety of the construction enterprise. It is of great importance to predict the extent of rock blast when designing and constructing this kind of tunnel. Based on the condition of rock blast and real examples of tunnel engineering, a neutral network model has been derived for predicting the risk of rock blast. This model has been applied and practiced in tunnel engineering.更多还原