Monte Carlo-based quantitative risk assessment of parking areas for vehicles carrying hazardous chemicals. (March 2023)
- Record Type:
- Journal Article
- Title:
- Monte Carlo-based quantitative risk assessment of parking areas for vehicles carrying hazardous chemicals. (March 2023)
- Main Title:
- Monte Carlo-based quantitative risk assessment of parking areas for vehicles carrying hazardous chemicals
- Authors:
- Li, Yuntao
Wang, Yumeng
Lai, Yuying
Shuai, Jian
Zhang, Laibin - Abstract:
- Highlight: A novel quantitative risk assessment method of parking areas for vehicles carrying hazardous chemicals. The proposed method combines a Monte Carlo simulation (MCS) and quantitative risk assessment (QRA). The risk analysis results show that the average risk for centralized parking is lower than that for random parking. A novel parking strategy, called zone parking, is proposed for risk migination. 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 twoHighlight: A novel quantitative risk assessment method of parking areas for vehicles carrying hazardous chemicals. The proposed method combines a Monte Carlo simulation (MCS) and quantitative risk assessment (QRA). The risk analysis results show that the average risk for centralized parking is lower than that for random parking. A novel parking strategy, called zone parking, is proposed for risk migination. 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. GraphicAbstract: Image, graphical abstract … (more)
- Is Part Of:
- Reliability engineering & system safety. Volume 231(2023)
- Journal:
- Reliability engineering & system safety
- Issue:
- Volume 231(2023)
- Issue Display:
- Volume 231, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 231
- Issue:
- 2023
- Issue Sort Value:
- 2023-0231-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-03
- Subjects:
- Road transportation of hazardous chemicals -- Risk analysis -- Domino effects -- Monte Carlo simulation -- Quantitative risk assessment
Reliability (Engineering) -- Periodicals
System safety -- Periodicals
Industrial safety -- Periodicals
Fiabilité -- Périodiques
Sécurité des systèmes -- Périodiques
Sécurité du travail -- Périodiques
620.00452 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09518320 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ress.2022.109010 ↗
- Languages:
- English
- ISSNs:
- 0951-8320
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7356.422700
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