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A bow-tie extended D-S evidence-HEART modelling for risk analysis of cargo tank cracks on oil/chemical tanker

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  • Sezer, Sukru Ilke
  • Camliyurt, Gokhan
  • Aydin, Muhmmet
  • Akyuz, Emre
  • Gardoni, Paolo

Abstract

Oil/chemical tanker ships are designed to transport liquefied chemicals in a series of discrete cargo tanks. Even a minor crack in the cargo tanks can have catastrophic consequences financially, and for the marine environment and human life. For oil/chemical tanker shipping operations, risk analysis is of great importance to improve safety and minimise risk at the operational level during the transportation of chemical cargo. This paper focuses on the risk of cargo tank cracking on oil/chemical tanker ships. The robust bow-tie risk analysis method is adopted under the Dempster–Shafer (D-S) evidence theory – Human Error Assessment and Reduction Technique (HEART) approach. In Bow-tie, which analyses the possible causes and consequences of failures, the top event is determined as the risk of cargo tank cracking on an oil/chemical tanker. The probabilities of basic events are calculated with D-S evidence-based HEART, where expert opinions are combined. Besides the theoretical contribution, the outputs of the paper provide practical contributions to oil/chemical tanker owners and operators, safety researchers, safety inspectors, and superintendents by providing the information needed to minimise the risk associated with cargo tank cracks in oil/chemical tankers.

Suggested Citation

  • Sezer, Sukru Ilke & Camliyurt, Gokhan & Aydin, Muhmmet & Akyuz, Emre & Gardoni, Paolo, 2023. "A bow-tie extended D-S evidence-HEART modelling for risk analysis of cargo tank cracks on oil/chemical tanker," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    • Handle: RePEc:eee:reensy:v:237:y:2023:i:c:s0951832023002600
    DOI: 10.1016/j.ress.2023.109346
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    References listed on IDEAS

    as
    1. Refaul Ferdous & Faisal Khan & Rehan Sadiq & Paul Amyotte & Brian Veitch, 2011. "Fault and Event Tree Analyses for Process Systems Risk Analysis: Uncertainty Handling Formulations," Risk Analysis, John Wiley & Sons, vol. 31(1), pages 86-107, January.
    2. Zhang, Xiaoge & Mahadevan, Sankaran, 2021. "Bayesian network modeling of accident investigation reports for aviation safety assessment," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    3. Taleb-Berrouane, Mohammed & Khan, Faisal & Hawboldt, Kelly, 2021. "Corrosion risk assessment using adaptive bow-tie (ABT) analysis," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    4. K. X. Li & J. Wonham, 2001. "Maritime legislation: new areas for safety of life at sea," Maritime Policy & Management, Taylor & Francis Journals, vol. 28(3), pages 225-234, July.
    5. Wang, Huanxin & Liu, Zhengjiang & Wang, Xinjian & Graham, Tony & Wang, Jin, 2021. "An analysis of factors affecting the severity of marine accidents," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    6. Trucco, P. & Cagno, E. & Ruggeri, F. & Grande, O., 2008. "A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 845-856.
    7. Ma, Xiaoxue & Deng, Wanyi & Qiao, Weiliang & Lan, He, 2022. "A methodology to quantify the risk propagation of hazardous events for ship grounding accidents based on directed CN," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    8. Sezer, Sukru Ilke & Akyuz, Emre & Arslan, Ozcan, 2022. "An extended HEART Dempster–Shafer evidence theory approach to assess human reliability for the gas freeing process on chemical tankers," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    9. Guo, Yunlong & Jin, Yongxing & Hu, Shenping & Yang, Zaili & Xi, Yongtao & Han, Bing, 2023. "Risk evolution analysis of ship pilotage operation by an integrated model of FRAM and DBN," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    10. Dinis, D. & Teixeira, A.P. & Guedes Soares, C., 2020. "Probabilistic approach for characterising the static risk of ships using Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    11. Xia-Zhong Zheng & Fei Wang & Jian-Lan Zhou, 2017. "A Hybrid Approach for Evaluating Faulty Behavior Risk of High-Risk Operations Using ANP and Evidence Theory," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-16, August.
    12. Zhou, Jian-Lan & Lei, Yi & Chen, Yang, 2019. "A hybrid HEART method to estimate human error probabilities in locomotive driving process," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 80-89.
    13. Xie, Shuyi & Dong, Shaohua & Chen, Yinuo & Peng, Yujie & Li, Xincai, 2021. "A novel risk evaluation method for fire and explosion accidents in oil depots using bow-tie analysis and risk matrix analysis method based on cloud model theory," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    14. Fan, Shiqi & Blanco-Davis, Eduardo & Yang, Zaili & Zhang, Jinfen & Yan, Xinping, 2020. "Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    15. Decang Li & Juhui Zhang & Ruxun Xu & Jianjun Meng & Jianming Wang & Xiaoqiang Chen & Xin Jia & Junhui Ma & Luca Pancioni, 2022. "A Multisource Data Fusion Modeling Prediction Method for Operation Environment of High-Speed Train," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-9, March.
    16. Kim, Do-Hoon, 2020. "Human factors influencing the ship operator's perceived risk in the last moment of collision encounter," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    17. Cho, Jaehyun & Lee, Sang Hun & Kim, Jaewhan & Park, Seong Kyu, 2022. "Framework to model severe accident management guidelines into Level 2 probabilistic safety assessment of a nuclear power plant," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    18. 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).
    19. Chen, Weiyi & Zhang, Limao, 2021. "Resilience assessment of regional areas against earthquakes using multi-source information fusion," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    20. Seites-Rundlett, William & Bashar, Mohammad Z. & Torres-Machi, Cristina & Corotis, Ross B., 2022. "Combined evidence model to enhance pavement condition prediction from highly uncertain sensor data," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    21. Wu, Bing & Yip, Tsz Leung & Yan, Xinping & Guedes Soares, C., 2022. "Review of techniques and challenges of human and organizational factors analysis in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    22. Dimaio, F. & Scapinello, O. & Zio, E. & Ciarapica, C. & Cincotta, S. & Crivellari, A. & Decarli, L. & Larosa, L., 2021. "Accounting for Safety Barriers Degradation in the Risk Assessment of Oil and Gas Systems by Multistate Bayesian Networks," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    23. Abreu, Danilo T.M.P. & Maturana, Marcos C. & Droguett, Enrique Lopez & Martins, Marcelo R., 2022. "Human reliability analysis of conventional maritime pilotage operations supported by a prospective model," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    24. Tao, Longlong & Chen, Liwei & Ge, Daochuan & Yao, Yuantao & Ruan, Fang & Wu, Jie & Yu, Jie, 2022. "An integrated probabilistic risk assessment methodology for maritime transportation of spent nuclear fuel based on event tree and hydrodynamic model," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
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