Uncertainties and their treatment in the quantitative risk assessment of domino effects: Classification and review

Xu, Yanyan; Reniers, Genserik; Yang, Ming; Yuan, Shuaiqi; Chen, Chao

doi:10.1016/j.psep.2023.02.082

Cited by 26 publications

(9 citation statements)

References 121 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Usually, four major consequences or escalation vectors resulting from the domino effect (escalation vectors are defined as physical effects of primary accidents) include overpressure, radiation, projectile, and distribution of toxic substances [13,14]. These effects are presented in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Studying Probability of Domino Effect in Chemical Storage Tanks Using Hazard Index

Eskandari,

Sohrabi,

Jabbari

2024

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The accidents caused by the domino effect in industries are highly harmful. This study aims to analyze the occurrence probability of the domino effect with respect to possible explosion and fire scenarios in chemical tanks. Using the results obtained by previous studies, reviewing past accidents, and according to the equipment damage models, threshold values were used for extraction process equipment and inherent safety distances as a criterion to prevent domino accidents. According to primary scenarios and experimental equations, the escalation vector was determined for different tanks. According to the assumption that fire radius is equivalent to inherent safety distance, the fireball radius for tank 1 was calculated 535.7 m. According to the results, the DCP index of tank 3 can be considered the most critical unit. This research studies the probability of the domino effect and means to prevent them according to criteria and hazard index parameters.

show abstract

Section: Introductionmentioning

confidence: 99%

Studying Probability of Domino Effect in Chemical Storage Tanks Using Hazard Index

Eskandari,

Sohrabi,

Jabbari

2024

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…Since their introduction in the 1980s (Pearl, 1986), BNs have become very popular as evidenced by the large number of fields where they are used (e.g., Bielza and Larrañaga, 2014;Chen et al, 2021;Hosseini and Ivanov, 2020;Kyrimi et al, 2021;Rosário et al, 2022;Xu et al, , 2023. This success is maintained despite the decades and the emergence of equally popular techniques such as the Artificial Neural Network (ANN), Support Vector Machine (SVM) or Deep Learning (DL).…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, compared to these techniques, BNs have certain advantages that make them unique (Correa et al, 2009;Hosseini and Ivanov, 2020;Kazem et al, 2015;Malekmohamadi et al, 2011;Müller et al, 2020;Weber et al, 2012). For example, with BNs, incomplete data or data of various kinds from WS, especially during their composition, can be integrated into the same model (Kaya et al, 2023;Larrañaga and Moral, 2011;Weber et al, 2012;Rohmer, 2020;Xu et al, 2023). In addition, the structure of this model allows to clearly distinguish the links between its elements (Larrañaga and Moral, 2011).…”

Section: Introductionmentioning

confidence: 99%

A review on the applications of Bayesian network in web service

Guinhouya

2024

Int J Syst Assur Eng Manag

View full text Add to dashboard Cite

Web services (WS) are the preferred approach in realizing the service-oriented computing paradigm. However, this comes with challenges such as complexity and uncertainty that hinder their practical application. Bayesian networks (BNs) are one of the techniques used to address these challenges. The objective of this mapping study was to determine what is known about the use of Bayesian networks in web services research. To do this, we identified and selected rigorously 69 articles (out of the 532 identified) published on the subject in 2001-2021. We then classified and analyzed these articles by Web service themes (Service Composition, Service Management, Service Engineering), Objectives (Prediction, Description, Prescription), Types of BN (Basic, Combined, Extended), and Evaluation methods (Proof of concept, Experiment, No evaluation). In doing so, we hope to provide a clear understanding of the subject. We also identify and suggest avenues for future research.Thus, the review results can help researchers and practitioners interested by the application of BNs in WS research.

show abstract

“…To avoid such catastrophic events, safety distances, and protective measures have been put in place to minimize risks. Various safety measures like process safety valves, gas detectors, flame arrestors, emergency isolation valves, dikes, firewalls, water spray, trenches, and fireproofing are employed to prevent or reduce the risk of fire or explosion [27]. For preventing or mitigating the risk of fire or explosion, various facilities, such as process safety valves, gas detectors, flame arrestors, emergency isolation valves, dikes, firewalls, water spray, trenches, and fireproofing are used [28].…”

Section: Introductionmentioning

confidence: 99%

Expansion of Next-Generation Sustainable Clean Hydrogen Energy in South Korea: Domino Explosion Risk Analysis and Preventive Measures Due to Hydrogen Leakage from Hydrogen Re-Fueling Stations Using Monte Carlo Simulation

Lee,

Kang

2024

Sustainability

View full text Add to dashboard Cite

Hydrogen, an advanced energy source, is growing quickly in its infrastructure and technological development. Urban areas are constructing convergence-type hydrogen refilling stations utilizing existing gas stations to ensure economic viability. However, it is essential to conduct a risk analysis as hydrogen has a broad range for combustion and possesses significant explosive capabilities, potentially leading to a domino explosion in the most severe circumstances. This study employed quantitative risk assessment to evaluate the range of damage effects of single and domino explosions. The PHAST program was utilized to generate quantitative data on the impacts of fires and explosions in the event of a single explosion, with notable effects from explosions. Monte Carlo simulations were utilized to forecast a domino explosion, aiming to predict uncertain events by reflecting the outcome of a single explosion. Monte Carlo simulations indicate a 69% chance of a domino explosion happening at a hydrogen refueling station if multi-layer safety devices fail, resulting in damage estimated to be three times greater than a single explosion.

show abstract

Uncertainties and their treatment in the quantitative risk assessment of domino effects: Classification and review

Cited by 26 publications

References 121 publications

Studying Probability of Domino Effect in Chemical Storage Tanks Using Hazard Index

Studying Probability of Domino Effect in Chemical Storage Tanks Using Hazard Index

A review on the applications of Bayesian network in web service

Expansion of Next-Generation Sustainable Clean Hydrogen Energy in South Korea: Domino Explosion Risk Analysis and Preventive Measures Due to Hydrogen Leakage from Hydrogen Re-Fueling Stations Using Monte Carlo Simulation

Contact Info

Product

Resources

About