摘要
现有的地铁隧道施工安全风险识别方法缺乏一定的系统性,在风险识别过程中缺少对多维风险情景的识别,因而具有一定的局限性。引入层次全息建模(hierarchical holographic modeling,HHM)方法和风险过滤、排序及管理(risk filtering,ranking and management,RFRM)框架,结合情景分析理论,构建地铁隧道施工安全风险情景识别的HHM方法,从多视角识别风险情景,应用RFRM框架对风险情景进行4次过滤并排序,筛选关键风险情景。对C市某地铁隧道项目进行案例分析,结果显示:该方法可以系统、完善地识别地铁隧道施工安全风险情景及关键风险因素,进而可为风险管理工作奠定一定的基础。
The existing safety risk identification methods of subway tunnel construction lack certain systematicness,and lack multi-dimensional risk scenario identification in the risk i dentification process,so they have certain limitation.Based on the hierarchical holographic modeling(HHM)method,risk filtering,ranking and management(RFRM)framework and scenario analysis theory,a HHM method for identifying risk scenarios in subway tunnel construction was constructed.The risk scenarios were identified from multiple perspectives,and were filtered and sorted by the RFRM framework four times to screen the key risk scenarios.The case study of a subway tunnel project in C City shows that the method can systematically and perfectly identify the safety risk scenarios and key risk factors of subway tunnel construction,and further lays certain foundation for risk management.
作者
陈赟
陈玉斌
CHEN Yun;CHEN Yu-bin(School of Traffic and Transportation Engineering,Changsha University of Science&Technology,Changsha 410114,China)
出处
《长沙理工大学学报（自然科学版）》
CAS
2021年第1期7-15,共9页
Journal of Changsha University of Science and Technology:Natural Science
基金
2018年湖南省应急管理厅安全生产科技研究及推广项目“交通隧道工程施工安全风险预警及管控体系研究”
湖南交通科技进步与创新项目(201330)。
