广东交通职业技术学院学报2024,Vol.23Issue(4) :31-35,48.

基于映射关系与影响中心度的地铁深基坑施工风险识别

Risk Identification of Subway Deep Excavation Construction Based on Mapping Relationship and Influence Centrality

赵长伟
广东交通职业技术学院学报2024,Vol.23Issue(4) :31-35,48.

基于映射关系与影响中心度的地铁深基坑施工风险识别

Risk Identification of Subway Deep Excavation Construction Based on Mapping Relationship and Influence Centrality

赵长伟1
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作者信息

  • 1. 中铁十八局集团第四工程有限公司,天津 300000
  • 折叠

摘要

针对地铁深基坑施工风险节点之间的具体关系不明确、难以精准量化分析风险因素的问题,提出基于映射关系与影响中心度的地铁深基坑施工风险识别方法.对深基坑施工机理进行分析,结合施工传感信息的融合结果,对风险因素进行时空耦合分解处理;将耦合分解结果作为风险节点,构建出安全风险网络结构图,在安全风险网络结构图中表征不同风险节点的重要程度;结合风险节点的影响中心度,获得风险等级映射关系,识别关键地铁深基坑施工风险.测试结果表明:该方法应用后,项目风险网络密度逐渐降低,从而降低安全事故发生的概率,可以精准识别关键地铁深基坑施工风险.

Abstract

The specific relationship between risk nodes in subway deep excavation construction is not clear,making it difficult to accurately quantify and analyze risk factors.Therefore,a risk identification method for subway deep excavation construction based on mapping relationship and influence centrality is proposed.Firstly,analyze the construction mechanism of deep foundation pits,combine the fusion results of construction sensing information,and decompose the risk factors through spatiotemporal coupling;secondly,using the coupling decomposition results as risk nodes,a security risk network structure diagram is constructed to represent the importance of different risk nodes in the security risk network structure diagram;thirdly,by combining the impact centrality of risk nodes,the risk level mapping relationship is obtained to identify key subway deep foundation pit construction risks.The test results indicate that after the application of this method,the density of the project risk network gradually decreases,thereby reducing the probability of safety accidents,so it can accurately identify key subway deep foundation pit construction risks.

关键词

传感信息融合/时空耦合/深基坑/施工安全/风险识别

Key words

sensor information fusion/spatio-temporal coupling/deep foundation pits/construction safety/risk identification

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出版年

2024
广东交通职业技术学院学报
广东交通职业技术学院

广东交通职业技术学院学报

影响因子:0.315
ISSN:1671-8496
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