隧道塌方风险评估研究——引入Borda序值法的模糊层次分析法优化模型应用
Study on the Risk Assessment of Tunnel Collapse—Application of Fuzzy Analytic Hierarchy Process(AHP)Optimization Model by Introducing Borda Sequence Value Method
张军 1谢定熙 1张昕 1白永志2
作者信息
- 1. 长沙理工大学土木工程学院,湖南 长沙 410114;长沙理工大学桥梁工程安全控制教育部重点实验室,湖南 长沙 414000
- 2. 兴安盟经纬公路勘察设计有限责任公司,内蒙古 兴安盟 137400
- 折叠
摘要
[目的]随着"一带一路"倡议的推进,各类隧道不断建设,其间,工程事故也时有发生,其中尤以岩溶隧道塌方居多,为了确保隧道施工安全,进行岩溶隧道塌方风险评估尤为重要.[方法]针对模糊层次分析法定量分析不足的缺点,在计算权重值时引入Borda序值法,选取围岩级别、开挖跨度、埋深、地下水、施工技术与管理水平等5个指标,以优化后的模糊层次分析法建立了岩溶隧道塌方风险评估模型.[结果]以优化后的模糊层次分析法对某隧道塌方风险进行评估,判断其最终风险等级为Ⅲ级.[结论]通过引入Borda序值法,能有效降低模糊层次分析法的主观性,使用该模型评估的岩溶区隧道塌方风险等级与案例实际情况基本一致,说明该模型具有较好的实用性.
Abstract
[Purposes]With the implementation and advancement of the Belt and Road Initiative,all kinds of tunnels are continuously constructed,and some engineering accidents also come one after an-other,especially the collapse of karst tunnels.In order to ensure the safety of tunneling.The risk assess-ment of collapse of karst tunnels has become a top priority.[Methods]Aiming at the shortcomings of fuzzy AHP which is insufficient for quantitative analysis,this paper introduces the Borda sequence value method in calculating the weight values,selects five indicators,including the level of surrounding rock,excavation span,depth of burial,groundwater,construction technology and management level,and estab-lishes a karst tunnel collapse risk assessment model with the optimized fuzzy Borda sequence value method.[Findings]The optimized fuzzy AHP was used to assess the risk of collapse of the tunnel,and the final risk level was judged to be Class Ⅲ.[Conclusions]By introducing the Borda sequence value method,the subjectivity of the fuzzy AHP can be effectively reduced,and the risk level of tunnel collapse in karst area assessed by using the model is basically consistent with the actual situation of the case,which indicates that the model has good practicability.
关键词
岩溶隧道/风险评估/模糊层次分析法/Borda序值法Key words
karst tunnel/risk assessment/fuzzy AHP/Borda sequence value method引用本文复制引用
基金项目
教育部重点实验室开放基金项目(14KB07)
出版年
2024
NETL
NSTL
万方数据