地表积水对隧道安全影响及其发展趋势预测研究
Study on Influence of Surface Water on Tunnel Safety and Its Development Tendency Prediction
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摘要: 以北京隧道工程为案例,针对极端降雨天气条件下的隧道安全问题进行研究,探索隧道在不同含水率和地表不同积水深度工况下围岩应力场演化特点及降雨积水对隧道安全性的影响规律,运用FlAC3D有限元模拟软件,建立了极端天气条件下隧道数值计算模型。研究结果表明随着上覆地层含水率的增大,地铁隧道围岩的压力和拉应力依次增大,但增幅不大,不会导致隧道破坏;地面积水深度增大时围岩应力递增较大,当积水深度达到2 m时,最大压应力增加7%,对隧道薄弱环节的安全或渗水会产生一定的影响。针对传统的层次分析法和熵权理论对确定指标权值影响较大的问题,建立了基于博弈论的隧道安全预测方法,预测结果基本可靠。Abstract: This paper will take a tunnel project as an example, focus on the safety issue of underground tunnel under extreme weather conditions and explore the evolution characteristics of surrounding rock stress field and the influence law of rainfall and water accumulation on tunnel safety under the condition of different water contents and different water accumulation depths on the surface of the tunnel. The numerical calculation model of tunnel under extreme weather conditions was established by using FlAC3D finite element simulation software. The results show that the pressure and tensile stress of the surrounding rock of the subway tunnel increase sequentially with the growth of the moisture content of the overlying stratum, but it is not large enough to cause tunnel damage. In addition, the surrounding rock stress increases with the depth of water, when it reaches 2 m, the maximum compressive stress raises by 7%, which may have some impact on the safety or water seepage of the weak link of the tunnel. Aiming at the shortcomings of traditional analytic hierarchy process and entropy weight theory on determining the weight of index, a tunnel safety prediction method based on game theory is established. The prediction result is basically reliable.
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期刊类型引用(3)
1. 刘平，王宇，李强年. 极端降雨天气下地铁隧道施工安全评价. 安全与环境学报. 2023(12): 4222-4229 . 
百度学术
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