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Monte Carlo-based quantitative risk assessment of parking areas for vehicles carrying hazardous chemicals

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  • Li, Yuntao
  • Wang, Yumeng
  • Lai, Yuying
  • Shuai, Jian
  • Zhang, Laibin

Abstract

During the road transportation of hazardous chemicals, vehicles are often parked in constrained areas. Two main parking strategies have been employed: random and centralized parking. Random parking is difficult to control and may lead to serious casualties, whereas centralized parking increases the likelihood of domino scenarios. Both strategies may have severe consequences. To quantitatively study the risks associated with these parking strategies, a method is proposed here that applies the Monte Carlo simulation (MCS) to quantitative risk assessment (QRA). Numerical simulations yielded the risk distributions for the two parking methods, and analysis was performed. The results show that the average risk for centralized parking is lower than that for random parking; however, high-risk scenarios remain unacceptable. Thus, a novel parking strategy, called zone parking, is proposed. It separates vehicles carrying toxic substances from those carrying flammable and explosive chemicals. The estimated risk for this strategy is significantly lower than for the other two parking strategies. Risk reduction using this zone-parking strategy was validated for detailed case studies.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:reensy:v:231:y:2023:i:c:s0951832022006251
    DOI: 10.1016/j.ress.2022.109010
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    References listed on IDEAS

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    1. Tugnoli, Alessandro & Scarponi, Giordano Emrys & Antonioni, Giacomo & Cozzani, Valerio, 2022. "Quantitative assessment of domino effect and escalation scenarios caused by fragment projection," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    2. Hou, Tianfeng & Nuyens, Dirk & Roels, Staf & Janssen, Hans, 2019. "Quasi-Monte Carlo based uncertainty analysis: Sampling efficiency and error estimation in engineering applications," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    3. Wang, WuChang & Zhang, Yi & Li, YuXing & Hu, Qihui & Liu, Chengsong & Liu, Cuiwei, 2022. "Vulnerability analysis method based on risk assessment for gas transmission capabilities of natural gas pipeline networks," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    4. Krupenev, Dmitry & Boyarkin, Denis & Iakubovskii, Dmitrii, 2020. "Improvement in the computational efficiency of a technique for assessing the reliability of electric power systems based on the Monte Carlo method," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    5. 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).
    6. Yang, Ruochen & Khan, Faisal & Neto, Eugenio Turco & Rusli, Riza & Ji, Jie, 2020. "Could pool fire alone cause a domino effect?," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    7. Ovidi, Federica & Zhang, Laobing & Landucci, Gabriele & Reniers, Genserik, 2021. "Agent-based model and simulation of mitigated domino scenarios in chemical tank farms," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    8. Necci, Amos & Cozzani, Valerio & Spadoni, Gigliola & Khan, Faisal, 2015. "Assessment of domino effect: State of the art and research Needs," Reliability Engineering and System Safety, Elsevier, vol. 143(C), pages 3-18.
    9. Noguchi, H. & Hienuki, S. & Fuse, M., 2020. "Network theory-based accident scenario analysis for hazardous material transport: A case study of liquefied petroleum gas transport in japan," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
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