论文部分内容阅读
隧道涌水灾害一直以来都是隧道施工过程中常见的重大难题之一,涌水灾害的发生会给隧道施工带来许多不利的影响,导致工期延误、机械损坏,甚至可能引发塌方灾害,造成人员的伤亡。随着隧道施工工艺的提高,如何预防隧道涌水灾害已成为一个迫切需要解决的难题。本文结合钟村隧道的工程地质情况,深入研究隧道涌水量的影响因素,通过建立BP神经网络对隧道涌水量进行预测,并研究隧道涌水的预兆信息,总结出涌水临界点的物理特征,提出了相应的涌水预防措施和处理方案,其研究结果对隧道施工涌水量预测与涌水灾害的防治具有一定的参考意义。
Tunnel water gushing disaster has always been one of the most important problems in tunnel construction. The occurrence of gushing water disaster will bring many adverse effects to tunnel construction, which will lead to the delay of construction period, mechanical damage and even the collapse of landslide, resulting in casualties . With the improvement of tunnel construction technology, how to prevent tunnel water flooding has become an urgent problem to be solved. Based on the engineering geology of Zhongcun tunnel, this paper studies the influencing factors of tunnel water inflow deeply, predicts the water inflow of tunnel through establishing BP neural network, and studies the precursor information of tunnel water inflow, summarizes the physical characteristics of the critical point of water inflow, Corresponding gushing water prevention measures and treatment schemes, the results of which have some reference significance for the prediction of water inflow in tunnel construction and prevention and cure of gushing disaster.