基于物理模型试验的隧道涌水量预测参数优化研究

Research on optimization of tunnel water inflow prediction parameter bases on physical modelling experiment

隧道涌水量的预测对施工安全、进度和人员的保护非常重要,为提高解析法预测隧道涌水量的精度,本文基于模型试验,构建了隧道两侧具有稳定补给水源的模型,探讨隧道排水造成的水位降深与渗透系数及水头的关系,推导水位降深折减公式,并基于工程案例验证水位降深折减公式的合理性。结果表明:水位降深折减公式提高了解析法预测涌水量的精度,可适用于相似条件下的隧道涌水量预测。

Prediction of tunnel water inflow is important for construction safety,progress and personnel protection.In order to improve the accuracy of the analytical method in predicting the water inflow of tunnels.Based on the physical experiments,a stable recharge water source model on both sides of the tunnel was constructed,the relationship between the water level depth reduction caused by tunnel drainage and the permeability coefficient and water head was discussed,the water level depth reduction formula was derived,and the rationality of the water level depth reduction formula was verified based on engineering cases.The results show that the water level depth reduction formula improves the accuracy of the analytical method in predicting the water inflow,and can be applied to the prediction of tunnel water inflow under similar conditions.