中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (10): 130-136.doi: 10.16265/j.cnki.issn1003-3033.2017.10.022

• 安全社会工程 • 上一篇    下一篇

地铁盾构施工安全风险规律分析与对策*

刘文, 赵挺生** 教授, 张亚静, 陈昱锟, 周炜   

  1. 华中科技大学 土木工程与力学学院,湖北 武汉 430074
  • 收稿日期:2017-07-10 修回日期:2017-09-02 出版日期:2017-10-20 发布日期:2020-11-05
  • 通讯作者: **赵挺生(1963—),男,河南辉县人,博士,教授,主要从事建筑工程安全管理方面的研究。E-mail:tszhao@mail.hust.edu.cn。
  • 作者简介:刘 文 (1985—),男,湖北恩施人,博士研究生,主要研究方向为结构工程、建筑可靠性鉴定与加固、建筑施工安全管理。E-mail:379047775@qq.com。
  • 基金资助:
    国家重点研发计划项目(2017YFC0805500)。

Analysis of risk factors and countermeasures for metro shield construction

LIU Wen, ZHAO Tingsheng, ZHANG Yajing, CHEN Yukun, ZHOU Wei   

  1. School of Civil Engineering,Huazhong University of Science and Technology,Wuhan Hubei 430074,China
  • Received:2017-07-10 Revised:2017-09-02 Online:2017-10-20 Published:2020-11-05

摘要: 为预防地铁盾构施工安全事故,利用迭代自组织数据分析算法(ISODATA)对收集到的57起事故和186个未遂事件报告结构化数据进行聚类分析;通过对比分析各聚类集群相对风险可能性的量化结果,探讨地铁盾构施工的安全风险规律及管理对策。结果表明:始发-到达阶段地质条件复杂、洞口土体加固及降水不当是地铁盾构施工领域最危险的风险因素;针对事故风险较大的盾构始发-到达阶段,运用施工安全生产工艺学方法作为安全风险管理对策,可提高地铁盾构施工安全管理绩效。

关键词: 盾构施工, 安全风险, 未遂事件, 施工安全生产工艺学, 迭代自组织数据分析算法(ISODATA)

Abstract: In order to prevent the metro tunnel construction safety accidents, a clustering analysis was made for the cluster was established data on both 57 accidents and 186 near misses using the by ISODATA clustering algorithm. Safety risk rules and management countermeasures were explored for metro shield construction by means of making a comparison between quantification results of the relative risk possibility of the clusters. The results show that the complicated geologic conditions, improper soil reinforcement and drainage at the launching-arrival stage are the most dangerous risk factors in metro shield construction, and that to improve the safety management performance of metro shield construction, the safety production technology of construction should be used at the launching-arrival stage.

Key words: shield construction, safety risk, near miss, safety production technology of construction, iterative self-organizing data analysis algorithm(ISODATA)

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