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王健华, 李术才, 李利平, 许振浩. 隧道岩溶管道型突涌水动态演化特征及涌水量综合预测[J]. 岩土工程学报, 2018, 40(10): 1880-1888. DOI: 10.11779/CJGE201810015
引用本文: 王健华, 李术才, 李利平, 许振浩. 隧道岩溶管道型突涌水动态演化特征及涌水量综合预测[J]. 岩土工程学报, 2018, 40(10): 1880-1888. DOI: 10.11779/CJGE201810015
WANG Jian-hua, LI Shu-cai, LI Li-ping, XU Zhen-hao. Dynamic evolution characteristics and prediction of water inflow of karst piping-type water inrush of tunnels[J]. Chinese Journal of Geotechnical Engineering, 2018, 40(10): 1880-1888. DOI: 10.11779/CJGE201810015
Citation: WANG Jian-hua, LI Shu-cai, LI Li-ping, XU Zhen-hao. Dynamic evolution characteristics and prediction of water inflow of karst piping-type water inrush of tunnels[J]. Chinese Journal of Geotechnical Engineering, 2018, 40(10): 1880-1888. DOI: 10.11779/CJGE201810015

隧道岩溶管道型突涌水动态演化特征及涌水量综合预测

Dynamic evolution characteristics and prediction of water inflow of karst piping-type water inrush of tunnels

  • 摘要: 建立了隧道岩溶管道型突涌水模型,进行了突涌水过程中动态演化特征分析,结果表明揭露岩溶管道型突涌水的动态演化无明显的时间效应,但空间特征呈现阶段演化的规律,突涌水区域可分为三种典型流速演化区域:管道内部的近似高速稳定区,隧道与岩溶管道临界面附近的流速升高区以及隧道内部灾害水体的衰减-低速稳定区。基于管道内部区域流速动态衰减规律,提出了基于数值分析法和极限(离散)解析法的涌水量综合预测方法,形成揭露岩溶管道型突涌水的涌水量预测体系,并设计了相应的模型试验,进行了涌水量的实时监测,监测结果验证了涌水量综合预测方法的合理性。

     

    Abstract: A model for karst piping-type water inrush at tunnel site is established, and the dynamic evolution characteristics of water inrush are analyzed. The results show that there is no obvious time effect for the dynamic evolution of karst piping-type water inrush, but the spatial features have the property of phase evolution. The water inrush area can be divided into three typical flow velocity evolution areas: approximate high-velocity stability zone inside the karst pipeline, velocity rising zone near the critical plane and attenuation-low velocity stability zone in the tunnel. Based on the dynamic attenuation law of flow velocity in the inner area of pipeline, the method of limit analysis combined with numerical methods to predict water inflow is put forward, and a prediction system for water inflow is formed. The corresponding model test is designed, and the real-time monitoring of water inflow is carried out. The rationality of the comprehensive prediction method for water inflow is verified.

     

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