基于K-means聚类分析的公路隧道施工安全风险研究  

Research on Safety Risks in Highway Tunnel Construction Based on K-means Clustering Analysis

作　　者：李旦 Li Dan(China Railway Construction Port Navigation Bureau Group Co.Ltd.,Zhuhai,Guangdong 519000)

机构地区：[1]中国铁建港航局集团有限公司,广东珠海519000

出　　处：《江西建材》2024年第12期447-450,共4页

摘　　要：文中以公路隧道施工安全风险为研究对象,将K-means聚类算法引入风险评价过程中。通过对公路隧道施工风险的辨识,从地质、设计、环境及施工因素4个方面,建立了涵盖22个指标的公路隧道施工安全风险评价体系。文中以重庆市某公路隧道建设项目安全风险评价为例,将LEC法与K-means聚类算法相结合,划分安全风险等级。根据风险计算结果,本项目的施工安全风险为Ⅱ级,安全风险发生的可能性较高,应引起重视。This article takes the safety risks of highway tunnel construction as the research object,and introduces the K-means clustering algorithm into the risk assessment process.By identifying the risks of highway tunnel construction,a safety risk assessment system for highway tunnel construction covering 22 indicators has been established from four aspects:geology,design,environment,and construction factors.Taking the safety risk assessment of a highway tunnel construction project in Chongqing as an example,the LEC method will be combined with Kmeans clustering algorithm to classify safety risk levels.According to the risk calculation results,the construction safety risk of this project is level II,and the possibility of safety risk occurrence is high,which should be taken seriously.

关 键 词：K-means聚类分析 公路隧道 风险评估 

分 类 号：U455[建筑科学—桥梁与隧道工程]