基于AHP层次分析法的湿陷性黄土隧道洞口施工风险管理研究

Study on construction risk management of collapsible loess tunnelportal based on AHP

为科学地评估湿陷性黄土隧道洞口开挖时的施工风险因素,本文以定临高速紫云山隧道为例进行了风险研究。考虑到紫云山隧道上覆岩层破碎,广泛分布湿陷性黄土,极大地增加了隧道洞口段施工的评价指标体系的复杂性,采用AHP法对各类因素的权重予以确定。基于建立的风险指标评价体系,采用BP神经网络对隧道风险等级进行评价。进而获得了紫云山隧道施工中存在的风险因素权重,明确了湿陷性黄土隧道洞口段开挖风险管理的关键环节,针对这些关键环节制定出相关的管理方法和技术措施,为后续的项目施工管理指明方向。

In order to scientifically evaluate the construction risk factors of collapsible loess tunnel portal excavation,this paper takes ziyunshan tunnel of Dinglin expressway as an example to conduct a risk study.Considering that the overlying strata of ziyunshan tunnel are broken and collapsible loess is widely distributed,which greatly increases the difficulty of tunnel portal construction and there are great risks in tunnel excavation.According to the existing geological exploration data and design documents,sort out the risk sources existing in the construction process,build a risk evaluation index system,and determine the weights of various factors by using the AHP method.Based on the established risk index evaluation system,BP neural network is used to evaluate the tunnel risk level.Through the research on the risk management existing in the construction of ziyunshan tunnel,the key links of the risk management of the excavation of the portal section of the collapsible loess tunnel are defined,and the relevant management methods and technical measures are formulated for these key links to point out the direction for the follow-up project construction management.