基于网络层次分析法的地铁车站渗漏水风险灰色模糊综合评价

Grey Fuzzy Comprehensive Evaluation of Leakage Risk of Subway Station Based on Network Analytic Hierarchy Process

近年来,随着城市轨道交通快速发展,地铁渗漏水问题频发,为充分探究地铁车站渗漏水原因,改善车站渗漏水情况,建立科学有效的防水系统,在风险辨识的基础上结合网络层次分析法与灰色模糊综合评价法构建地铁车站渗漏水风险评估模型,以郑州某地铁车站项目为例分析了地铁车站渗漏水原因总结了城市地铁车站渗漏水特点,构建了地铁车站渗漏水风险指标体系,对地铁车站渗漏水风险进行了综合评价。结果表明该模型能准确地评价城市地铁防水施工工程项目,为城市地下交通工程项目防水施工风险综合评价提供一种定性与定量结合的新思路、新方法。

In recent years, with the rapid development of urban rail transit, subway leakage problems occur frequently. In order to fully explore the reasons of subway station leakage, improve the station leakage, and establish a scientific and effective waterproof system, a subway station leakage risk assessment model is built on the basis of risk identification combined with network analytic hierarchy process and gray fuzzy comprehensive evaluation method. A subway station project in Zhengzhou was taken as an example to analyze the reasons of water leakage in subway stations and summarize the characteristics of water leakage in urban subway stations. A subway station leakage risk index system was constructed to comprehensively evaluate the water leakage risk in subway stations. The results show that the model can accurately evaluate the waterproof construction project of urban subway, and provide a new idea and method for the comprehensive evaluation of the waterproof construction risk of urban underground traffic projects.