Volume 42 Issue 3
Jun.  2024
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Article Navigation >  Journal of Transport Information and Safety  > 2024  >  42(3): 158-166
CHEN Xiaowei, ZHANG Xi, WANG Zenglu, HE Junhao, LI Zewei. A Method for Safety Resilience Evaluation of Construction of Freeway Tunnels Based on Combination Weighting and Grey Cloud Model[J]. Journal of Transport Information and Safety, 2024, 42(3): 158-166. doi: 10.3963/j.jssn.1674-4861.2024.03.017
Citation: CHEN Xiaowei, ZHANG Xi, WANG Zenglu, HE Junhao, LI Zewei. A Method for Safety Resilience Evaluation of Construction of Freeway Tunnels Based on Combination Weighting and Grey Cloud Model[J]. Journal of Transport Information and Safety, 2024, 42(3): 158-166. doi: 10.3963/j.jssn.1674-4861.2024.03.017
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A Method for Safety Resilience Evaluation of Construction of Freeway Tunnels Based on Combination Weighting and Grey Cloud Model

doi: 10.3963/j.jssn.1674-4861.2024.03.017
  • 1.

    School of Transportation, Southeast University, Nanjing 210096, China

  • 2.

    Ningbo High Level Highway Construction Management Center, Ningbo 315000, Zhejiang, China

  • 3.

    Faculty of Maritime and Transportation, Ningbo University, Ningbo 315832, Zhejiang, China

  • Received Date: 2023-03-29
    Available Online: 2024-10-21
    Abstract
  • To avoid the development from safety risk to accident, and to take preventive control before an accident occurs, a safety resilience evaluation method for the construction of freeway tunnel is proposed. Considering that the tunnel construction system itself has the ability to resist, withstand, and adapt to risks, indicators for risk control, hazard tolerance and identification of hidden dangers is put forward under the perspective of safety resilience, and a safety resilience evaluation index system for highway tunnel construction in the three dimensions of personnel, equipment, and management is developed. A gray cloud model with combination weighting is developed to evaluate the safety resilience level of the construction of freeway tunnels, which is applied to a tunnel in a freeway of Ningbo. The results show that the level of safety resilience of the tunnel construction is rated as high and has a good safety state; however, the level of safety resilience of the ability of identifying hidden dangers is low, indicating that the tunnel lacks the ability to intelligently detect various dangerous states during the construction process, and fails to quickly identify the occurrence and evolution of hidden dangers. The safety risk assessment using the Hazard assessment method confirms the results of the combination weighting and grey cloud model, validating the model's effectiveness and reliability. The safety resilience evaluation method proposed in this paper for the construction of freeway tunnels can not only obtain the comprehensive evaluation result of the safety resilience level, but also can sort the influence degree of factors according to the gray clustering coefficient of each factor and then trace back the weak point of safety resilience. Hence, it is easy to find out accurately the constrained factors affecting the construction safety state of freeway tunnels.

     

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