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Target spectrum-based risk analysis model for utility tunnel O&M in multiple scenarios and its application

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  • Hai, Nan
  • Gong, Daqing
  • Dai, Zixuan

Abstract

Current utility tunnel operation and maintenance (O&M) risk management suffers from low quality and inefficiency and still lacks a robust analysis method to address various risks. Therefore, this study proposes a theoretical model to build an adaptive system of algorithms and models based on global data linkage and a decision-making system for the target spectrum of intelligent O&M of utility tunnels. In addition, a risk prevention and control platform for utility tunnel O&M is formed, and remote centralized data collection, monitoring, emergency decision-making and other functions are realized to improve the safety of utility tunnel O&M. Finally, the model is validated using data from three typical scenarios, and the Beijing International Horticultural Exhibition utility tunnel is chosen as an example. The findings demonstrate that the model offers effective and adaptable decision support for utility tunnel O&M risk management.

Suggested Citation

  • Hai, Nan & Gong, Daqing & Dai, Zixuan, 2024. "Target spectrum-based risk analysis model for utility tunnel O&M in multiple scenarios and its application," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    • Handle: RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023006919
    DOI: 10.1016/j.ress.2023.109777
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    References listed on IDEAS

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    1. Li, Yuntao & Wang, Yumeng & Lai, Yuying & Shuai, Jian & Zhang, Laibin, 2023. "Monte Carlo-based quantitative risk assessment of parking areas for vehicles carrying hazardous chemicals," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    2. Xue, Gang & Liu, Shifeng & Ren, Long & Gong, Daqing, 2023. "A data aggregation-based spatiotemporal model for rail transit risk path forecasting," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    3. Antão, P. & Sun, S. & Teixeira, A.P. & Guedes Soares, C., 2023. "Quantitative assessment of ship collision risk influencing factors from worldwide accident and fleet data," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    4. Fu, Lipeng & Wang, Xueqing & Zhao, Heng & Li, Mengnan, 2022. "Interactions among safety risks in metro deep foundation pit projects: An association rule mining-based modeling framework," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    5. Li, Guoqi & Pu, Gang & Yang, Jiaxin & Jiang, Xinguo, 2024. "A multidimensional quantitative risk assessment framework for dense areas of stay points for urban HazMat vehicles," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    6. Yanjun Li & Liyue Wu & Yuanqing Sun & Mengchen Lian & Gengxin Sun, 2022. "Risk Decision-Making of Multiobjective Chaos Search in Construction Projects considering Loss Level and Probability Level," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, March.
    7. He, Rui & Zhu, Jingyu & Chen, Guoming & Tian, Zhigang, 2022. "A real-time probabilistic risk assessment method for the petrochemical industry based on data monitoring," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    8. Xue, Gang & Liu, Shifeng & Ren, Long & Gong, Daqing, 2024. "Risk assessment of utility tunnels through risk interaction-based deep learning," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    9. Wang, Chenyushu & Cai, Baoping & Shao, Xiaoyan & Zhao, Liqian & Sui, Zhongfei & Liu, Keyang & Khan, Javed Akbar & Gao, Lei, 2023. "Dynamic risk assessment methodology of operation process for deepwater oil and gas equipment," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    10. Hong, Bingyuan & Shao, Bowen & Guo, Jian & Fu, Jianzhong & Li, Cuicui & Zhu, Baikang, 2023. "Dynamic Bayesian network risk probability evolution for third-party damage of natural gas pipelines," Applied Energy, Elsevier, vol. 333(C).
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    Cited by:

    1. Sun, Bin & Li, Yan & Zhang, Yangyang & Guo, Tong, 2024. "Multi-source heterogeneous data fusion prediction technique for the utility tunnel fire detection," Reliability Engineering and System Safety, Elsevier, vol. 248(C).

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