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Using Bayesian network for safety risk analysis of diaphragm wall deflection based on field data

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  • Zhou, Ying
  • Li, Chenshuang
  • Zhou, Cheng
  • Luo, Hanbin

Abstract

This study proposes a risk analysis model based on the Bayesian network for diaphragm wall deflection to ensure safety during excavation. Compared with the traditional methods, such as fault tree analysis, the proposed approach can more accurately illustrate the dynamic and updated features of hydrogeological design and construction variables as construction progresses on the basis of metro construction field data, which can address the risks in uncertain environments and achieve dynamic control during the entire construction process. The procedures include risk identification, sample collection, model building and validation, risk analysis and reasoning, and real-time control measures. The proposed model was applied in the metro station construction project, in Wuhan Metro Line 7. Results showed that the proposed risk analysis method can achieve real-time risk analysis, which includes pre-accident, during-construction, and post-accident control, to ensure construction safety at the station.

Suggested Citation

  • Zhou, Ying & Li, Chenshuang & Zhou, Cheng & Luo, Hanbin, 2018. "Using Bayesian network for safety risk analysis of diaphragm wall deflection based on field data," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 152-167.
    • Handle: RePEc:eee:reensy:v:180:y:2018:i:c:p:152-167
    DOI: 10.1016/j.ress.2018.07.014
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    3. Alibeikloo, Mehrnaz & Khabbaz, Hadi & Fatahi, Behzad, 2022. "Random Field Reliability Analysis for Time-Dependent Behaviour of Soft Soils Considering Spatial Variability of Elastic Visco-Plastic Parameters," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    4. Niamat Ullah Ibne Hossain & Farjana Nur & Raed Jaradat & Seyedmohsen Hosseini & Mohammad Marufuzzaman & Stephen M. Puryear & Randy K. Buchanan, 2019. "Metrics for Assessing Overall Performance of Inland Waterway Ports: A Bayesian Network Based Approach," Complexity, Hindawi, vol. 2019, pages 1-17, May.
    5. Zhang, Hengqi & Geng, Hua & Zeng, Huarong & Jiang, Li, 2023. "Dynamic risk evaluation and control of electrical personal accidents," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    6. Park, Jaehun & Lee, Byung Kwon, 2020. "Liner-dedicated manageability estimation for port operational reliability," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    7. Alibeikloo, Mehrnaz & Khabbaz, Hadi & Fatahi, Behzad & Le, Thu Minh, 2021. "Reliability Assessment for Time-Dependent Behaviour of Soft Soils Considering Cross Correlation between Visco-Plastic Model Parameters," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    8. Lin, Song-Shun & Shen, Shui-Long & Zhou, Annan & Xu, Ye-Shuang, 2021. "Novel model for risk identification during karst excavation," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    9. Zhou, Daoqing & He, Jingjing & Du, Yi-Mu & Sun, C.P. & Guan, Xuefei, 2021. "Probabilistic information fusion with point, moment and interval data in reliability assessment," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    10. Shirgir, Sina & Shamsaddinlou, Amir & Zare, Reza Najafi & Zehtabiyan, Sorour & Bonab, Masoud Hajialilue, 2023. "An efficient double-loop reliability-based optimization with metaheuristic algorithms to design soil nail walls under uncertain condition," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    11. Zhou, Ying & Li, Chenshuang & Ding, Lieyun & Sekula, Przemyslaw & Love, Peter E.D. & Zhou, Cheng, 2019. "Combining association rules mining with complex networks to monitor coupled risks," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 194-208.
    12. Shen, Shui-Long & Lin, Song-Shun & Zhou, Annan, 2023. "A cloud model-based approach for risk analysis of excavation system," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    13. Guo, Jian & Ma, Kaijiang, 2024. "Risk analysis for hazardous chemical vehicle-bridge transportation system: A dynamic Bayesian network model incorporating vehicle dynamics," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    14. Mateusz Frydrych & Grzegorz Kacprzak & Paweł Nowak, 2021. "Modern Methods of Diaphragm Walls Design," Sustainability, MDPI, vol. 13(24), pages 1-13, December.
    15. Wang, Fan & Li, Heng & Dong, Chao & Ding, Lieyun, 2019. "Knowledge representation using non-parametric Bayesian networks for tunneling risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 191(C).

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