A new method for assessing domino effect in chemical process industry

Abdolhamidzadeh, Bahman; Abbasi, Tasneem; Rashtchian, Davood; Abbasi, S. A.

doi:10.1016/j.jhazmat.2010.06.049

Cited by 172 publications

(66 citation statements)

References 25 publications

(43 reference statements)

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“…A new model for assessing domino effect in process plants was presented recently by Abdolhamidzadeh et al [4] . Monte Carlo simulation was applied to overcome the limitations of analytical methods in handling uncertainty and complexity associated with domino effect modeling.…”

Section: Monte Carlo Simulation Of Assessment Of Domino Accidentsmentioning

confidence: 99%

“…As stated by Abdolhamidzadeh et al [4] , the algorithm is able to calculate failure probabilities of equipment even in situations which would be too complex for analytical methods. It is not constrained by how big or complex the system.…”

Section: Monte Carlo Simulation Of Assessment Of Domino Accidentsmentioning

confidence: 99%

“…Domino accidents have brought about catastrophic accidents that took place in the chemical and process industries. A large proportion of domino accidents, i.e., 89% domino accidents are caused by flammable substances and petroleum products, which are main materials in the chemical industry [4] .…”

Section: Introductionmentioning

confidence: 99%

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Domino Effect Analysis, Assessment and Prevention in Process Industries

Yang

Cheng

2015

Journal of Systems Science and Information

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Domino effect is a fairly common phenomenon in process industry accidents, which makes many process industry accidents serious and the consequent losses enhanced. Domino effect of the major accidents in chemical cluster is emphasized. Many researchers have studied domino effect in chemical clusters from different perspectives. In the review, we summarize the research from three aspects: The statistical analysis of domino accidents in chemical process industry, the evaluation of domino accidents and the prevention of domino accidents in chemical clusters by game theory. From the analysis, we can find the characteristic of domino accidents such as the time and the location, the origin and causes of domino accidents. The methods of assessing domino effects such as quantitative risk assessment (QRA), Bayesian networks (BN) and Monte Carlo simulation (MCS) are analyzed. The prevention of domino accidents in chemical clusters using game theory is seldom, and there is still much space for improvement in enterprises' efforts to prevent risk of domino accidents.

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Section: Monte Carlo Simulation Of Assessment Of Domino Accidentsmentioning

confidence: 99%

Section: Monte Carlo Simulation Of Assessment Of Domino Accidentsmentioning

confidence: 99%

See 1 more Smart Citation

Domino Effect Analysis, Assessment and Prevention in Process Industries

Yang

Cheng

2015

Journal of Systems Science and Information

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show abstract

“…Some approaches go toward the assessment of domino effect by the use of simplified risk indexes Zhang and Chen, 2011). A detailed original approach to quantitative assessment of domino frequencies was recently proposed by Abdolhamidzadeh et al (2010). These authors present a new methodology based on Monte Carlo simulation with which the expected frequencies of domino effects can be assessed.…”

Section: Other Approaches To the Quantitative Assessment Of Domino Efmentioning

confidence: 99%

“…This technique of simulation is particularly suitable when the underlying probabilities of a process are known, but their interaction is difficult to determine. The work of Abdolhamidzadeh et al (2010) allowed the development of a Monte Carlo algorithm for the assessment of domino effects named FREEDOM (FREquency Estimation of DOMino accidents). The model was applied to the simulation of a multiunit system which may experience domino effects.…”

Section: Other Approaches To the Quantitative Assessment Of Domino Efmentioning

confidence: 99%