Analysis of domino effect in the process industry using the event tree method

2017 ◽  
Vol 97 ◽  
pp. 10-19 ◽  
Author(s):  
Nassim Alileche ◽  
Damien Olivier ◽  
Lionel Estel ◽  
Valerio Cozzani
Keyword(s):  
Process Industry ◽  
Event Tree ◽  
Domino Effect ◽  
Tree Method

Risk Assessment of Enterprise Merger and Acquisition Based on Event Tree Method and Fuzzy Set Theory

2013 ◽  
Vol 13 (21) ◽  
pp. 4819-4825 ◽  
Author(s):  
Guang-Rong Li ◽  
Chun-He Li ◽  
Xiu-Hong Niu ◽  
Li-Ping Yang
Keyword(s):  
Risk Assessment ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Merger And Acquisition ◽  
Event Tree ◽  
Tree Method

Estimation on probability of radiological hazards for nuclear facilities decommissioning based on fuzzy and event tree method

2011 ◽  
Vol 38 (11) ◽  
pp. 2606-2611 ◽  
Author(s):  
Kwan-Seong Jeong ◽  
Kune-Woo Lee ◽  
Seong-Young Jeong ◽  
Hyeon-Kyo Lim
Keyword(s):  
Event Tree ◽  
Nuclear Facilities ◽  
Radiological Hazards ◽  
Tree Method

Method for Hazard Analysis of Chemical Process Equipment Taking Domino Effect into Account

2013 ◽  
Vol 321-324 ◽  
pp. 2456-2459
Author(s):  
Ming Liang Chen ◽  
Zhi Qiang Geng ◽  
Qun Xiong Zhu
Keyword(s):  
Chemical Process ◽  
Hazard Analysis ◽  
Process Industry ◽  
Process Equipment ◽  
Process Conditions ◽  
Domino Effect ◽  
Effect Analysis ◽  
Chemical Process Industry ◽  
Chemical Process Equipment

The hazard of chemical process equipment consists of two parts: the inherent hazard of process equipment and the hazard from domino effect among equipments. The inherent hazard of equipment depends on the properties of the substance present in the equipment and the specific process conditions. The domino effect is responsibility for many most destructive accidents in the chemical process industry. However, domino effect is either not considered at all or is done with much less rigour than is warranted. A method was proposed to evaluate the hazard of chemical process equipment. The inherent hazard and the hazard from domino effect were considered in the method. The procedure for the domino effect analysis among equipments was presented to evaluate the hazard from the domino effect. The method was implemented in a case study. The results show that it can be used to select the process equipment which should be intensive monitored.

Method for Estimating the Domino Effect in Quantitative Assessment

2013 ◽  
Vol 319 ◽  
pp. 536-540
Author(s):  
Ming Liang Chen ◽  
Zhi Qiang Geng ◽  
Qun Xiong Zhu
Keyword(s):  
Chemical Process ◽  
Quantitative Assessment ◽  
Process Industry ◽  
Risk Assessments ◽  
Domino Effect ◽  
Chemical Process Industry ◽  
Industrial Sites ◽  
The Impact

Accidents caused by the domino effect are the most destructive accidents in the chemical process industry. These chains of accidents may lead to catastrophic consequences and may affect not only the industrial sites, but also people, environment and economy. However, quantitative risk assessments do not usually take the domino effect into account in a detailed, systematic way, mostly because of its complexity and the difficulties involved in its incorporation. A method for quantitative assessment of domino effects is presented. The consequence and probability of a certain accident can be estimated. The domino sequences from the initial accident to the last accident can be obtained. The method has been implemented in a case study. The results show that it can indeed be used to estimate the impact of the domino effect in quantitative assessment.

Domino effect in process-industry accidents – An inventory of past events and identification of some patterns

2011 ◽  
Vol 24 (5) ◽  
pp. 575-593 ◽  
Author(s):  
Bahman Abdolhamidzadeh ◽  
Tasneem Abbasi ◽  
D. Rashtchian ◽  
S.A. Abbasi
Keyword(s):  
Process Industry ◽  
Domino Effect

A Model for the Domino Effect Analysis in Quantitative Risk Assessment

2013 ◽  
Vol 328 ◽  
pp. 314-317
Author(s):  
Ming Liang Chen ◽  
Zhi Qiang Geng ◽  
Qun Xiong Zhu
Keyword(s):  
Risk Assessment ◽  
Quantitative Methods ◽  
Process Industry ◽  
Quantitative Risk Assessment ◽  
Domino Effect ◽  
Effect Analysis ◽  
Chemical Process Industry ◽  
Industrial Sites ◽  
Event Trees

The domino effect is responsibility for many most destructive accidents in the chemical process industry. The catastrophic consequences are not only affecting the industrial sites, but also people and environment. However, quantitative methods which take in to account the domino effect are still missing. A model for quantitative assessment of the domino effect is presented. The probabilities of occurrence are obtained by the event trees. The frequencies of different accidents can be obtained by applying the proposed method. The results of the case study show that the domino effect should be taken into account in quantitative risk assessment (QRA).

A new method for assessing domino effect in chemical process industry

2010 ◽  
Vol 182 (1-3) ◽  
pp. 416-426 ◽  
Author(s):  
Bahman Abdolhamidzadeh ◽  
Tasneem Abbasi ◽  
D. Rashtchian ◽  
S.A. Abbasi
Keyword(s):  
Chemical Process ◽  
Process Industry ◽  
New Method ◽  
Domino Effect ◽  
Chemical Process Industry

scholarly journals A Tutorial on Fire Domino Effect Modeling Using Bayesian Networks

Modelling ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 240-258
Author(s):  
Nima Khakzad
Keyword(s):  
Risk Assessment ◽  
Bayesian Networks ◽  
Bayesian Network ◽  
Synergistic Effects ◽  
Dynamic Bayesian Network ◽  
Event Tree ◽  
Domino Effect ◽  
Reasoning Under Uncertainty ◽  
Event Tree Analysis ◽  
Probabilistic Network

High complexity and growing interdependencies of chemical and process facilities have made them increasingly vulnerable to domino effects. Domino effects, particularly fire dominoes, are spatial-temporal phenomena where not only the location of involved units, but also their temporal entailment in the accident chain matter. Spatial-temporal dependencies and uncertainties prevailing during domino effects, arising mainly from possible synergistic effects and randomness of potential events, restrict the use of conventional risk assessment techniques such as fault tree and event tree. Bayesian networks—a type of probabilistic network for reasoning under uncertainty—have proven to be a reliable and robust technique for the modeling and risk assessment of domino effects. In the present study, applications of Bayesian networks to modeling and safety assessment of domino effects in petroleum tank terminals has been demonstrated via some examples. The tutorial starts by illustrating the inefficacy of event tree analysis in domino effect modeling and then discusses the capabilities of Bayesian network and its derivatives such as dynamic Bayesian network and influence diagram. It is also discussed how noisy OR can be used to significantly reduce the complexity and number of conditional probabilities required for model establishment.

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