首页|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

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

扫码查看
[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.
Study on the Risk Assessment of Tunnel Collapse—Application of Fuzzy Analytic Hierarchy Process(AHP)Optimization Model by Introducing Borda Sequence Value Method
[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.

karst tunnelrisk assessmentfuzzy AHPBorda sequence value method

张军、谢定熙、张昕、白永志

展开 >

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

兴安盟经纬公路勘察设计有限责任公司,内蒙古 兴安盟 137400

岩溶隧道 风险评估 模糊层次分析法 Borda序值法

教育部重点实验室开放基金项目

14KB07

2024

河南科技
河南省科学技术信息研究院

河南科技

影响因子:0.615
ISSN:1003-5168
年,卷(期):2024.51(16)