Construction Safety Risk Assessment and Early Warning of Nearshore Tunnel Based on BIM Technology

被引:4
|
作者
Wu, Ping [1 ]
Yang, Linxi [1 ,2 ]
Li, Wangxin [1 ,3 ]
Huang, Jiamin [1 ,2 ]
Xu, Yidong [1 ]
机构
[1] NingboTech Univ, Sch Civil Engn & Architecture, Ningbo 315100, Peoples R China
[2] Chongqing Jiaotong Univ, Sch Civil Engn, Chongqing 400074, Peoples R China
[3] Lanzhou Univ Technol, Sch Civil Engn, Lanzhou 730050, Peoples R China
关键词
nearshore tunnel; building information modeling technology; DS theory of evidence law; construction safety risk assessment; risk warning; ARTIFICIAL-INTELLIGENCE; MANAGEMENT; SYSTEM; FRAMEWORK; CHINA; SUPPORT; MODEL;
D O I
10.3390/jmse11101996
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The challenging nature of nearshore tunnel construction environments introduces a multitude of potential hazards, consequently escalating the likelihood of incidents such as water influx. Existing construction safety risk management methodologies often depend on subjective experiences, leading to inconsistent reliability in assessment outcomes. The multifaceted nature of construction safety risk factors, their sources, and structures complicate the validation of these assessments, thus compromising their precision. Moreover, risk assessments generally occur pre-construction, leaving on-site personnel incapable of recommending pragmatic mitigation strategies based on real-time safety issues. To address these concerns, this paper introduces a construction safety risk assessment approach for nearshore tunnels based on multi-data fusion. In addressing the issue of temporal effectiveness when the conflict factor K in traditional Dempster-Shafer (DS) evidence theory nears infinity, the confidence Hellinger distance is incorporated for improvement. This is designed to accurately demonstrate the degree of conflict between two evidence chains. Subsequently, an integrated evaluation of construction safety risks for a specific nearshore tunnel in Ningbo is conducted through the calculation of similarity, support degree, and weight factors. Simultaneously, the Revit secondary development technology is utilized to visualize risk monitoring point warnings. The evaluation concludes that monitoring point K7+860 exhibits a level II risk, whereas other monitoring points maintain a normal status.
引用
收藏
页数:26
相关论文
共 50 条
  • [11] BIM-BASED RISK IDENTIFICATION SYSTEM IN TUNNEL CONSTRUCTION
    Zhang, Limao
    Wu, Xianguo
    Ding, Lieyun
    Skibniewski, Miroslaw J.
    Lu, Yujie
    JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 2016, 22 (04) : 529 - 539
  • [12] Construction safety risk drivers: A BIM approach
    Malekitabar, Hassan
    Ardeshir, Abdollah
    Sebt, Mohammad Hassan
    Stouffs, Rudi
    SAFETY SCIENCE, 2016, 82 : 445 - 455
  • [13] A Risk Assessment Method for Metro Shield Tunnel Construction Based on Interval Number
    Zhang, Yeqin
    Zhang, Jiaming
    Guo, Hailin
    Zhou, Yang
    Ma, Guofu
    Wang, Cong
    GEOTECHNICAL AND GEOLOGICAL ENGINEERING, 2020, 38 (05) : 4793 - 4809
  • [14] Multi-Information Fusion Based on BIM and Intuitionistic Fuzzy D-S Evidence Theory for Safety Risk Assessment of Undersea Tunnel Construction Projects
    Xun, Xiaolin
    Zhang, Jun
    Yuan, Yongbo
    BUILDINGS, 2022, 12 (11)
  • [15] Dynamic risk early warning system for tunnel construction based on two-dimensional cloud model
    Sun, Huaiyuan
    Zhu, Mengqi
    Dai, Yiming
    Liu, Xiangsheng
    Li, Xiaojun
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 255
  • [16] Air Traffic Safety Assurance Based on Flight Plan Risk Assessment and Early Warning
    Liu, Ruiwei
    Hao, Siqi
    Zhang, Yaping
    Lian, Guan
    JOURNAL OF ADVANCED TRANSPORTATION, 2023, 2023
  • [17] Development of web-based system for safety risk early warning in urban metro construction
    Ding, L. Y.
    Zhou, C.
    AUTOMATION IN CONSTRUCTION, 2013, 34 : 45 - 55
  • [18] BIM-based analysis of construction safety tracking using behavior-based safety in Bangladeshi construction industry
    Meem, Tamanna Islam
    Hossain, Md. Mehrab
    Akter, Jhumana
    INTERNATIONAL JOURNAL OF BUILDING PATHOLOGY AND ADAPTATION, 2022,
  • [19] The application of BIM technology in the construction of Hangzhou Zizhi tunnel
    Wang, Jianwang
    Hao, Xiaosu
    Gao, Xiang
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS, ROBOTICS AND AUTOMATION (ICMRA 2015), 2015, 15 : 195 - 204
  • [20] Construction Safety Risk Assessment of Large-Sized Deep Drainage Tunnel Projects
    Hu, Kai
    Wang, Junwu
    Wu, Han
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021