基于脆弱性分析的隧道施工安全管理问题研究

发布时间：2019-06-11 05:02

【摘要】：隧道施工安全管理不仅要关注常规体系下的技术细节,更要注重安全管理系统本身脆弱性所带来的突变。从脆弱性的角度进行隧道施工安全管理系统自身薄弱环节的辨识和分析。首先基于系统脆弱性的内涵分析了隧道施工安全管理系统的组成要素及内外部扰动源,形成了隧道施工安全管理脆弱性的分析模式。随后,基于ISM方法剖析脆弱性因素间的耦合关系,将其划分为11个层级,从而构建了脆弱性评价的层级体系。最后,以山西吕梁某隧道施工项目为例,分析安全管理资料和两起安全事故,提出了该项目安全管理系统的脆弱性因素及有针对性的改进措施。ISM及案例分析结果表明,ISM方法有效实现了脆弱性因素的层级划分,脆弱性指标直接反映安全管理系统的薄弱点。通过脆弱性分析能够发掘隧道施工安全管理系统的薄弱环节,并为系统的动态持续优化提供决策依据。
[Abstract]:Tunnel construction safety management should not only pay attention to the technical details under the conventional system, but also pay attention to the sudden change caused by the vulnerability of the safety management system itself. From the point of view of vulnerability, the weak links of tunnel construction safety management system are identified and analyzed. Firstly, based on the connotation of system vulnerability, the composition elements and internal and external disturbance sources of tunnel construction safety management system are analyzed, and the analysis mode of tunnel construction safety management vulnerability is formed. Then, based on ISM method, the coupling relationship between vulnerability factors is analyzed and divided into 11 levels, and the hierarchical system of vulnerability assessment is constructed. Finally, taking a tunnel construction project in Lv Liang, Shanxi Province as an example, this paper analyzes the safety management data and two safety accidents, and puts forward the vulnerability factors and targeted improvement measures of the safety management system of the project. ISM and the results of case analysis show that, The ISM method effectively realizes the hierarchical division of vulnerability factors, and the vulnerability index directly reflects the weaknesses of the security management system. Through vulnerability analysis, the weak links of tunnel construction safety management system can be excavated, and the decision-making basis can be provided for the dynamic and continuous optimization of the system.
【作者单位】：中国矿业大学(北京)力学与建筑工程学院;山西煤炭进出口集团有限公司;北方工业大学经济管理学院;
【基金】：北京市自然科学基金项目(9154026)
【分类号】：U455.1

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