Dynamic domino effect risk assessment using Petri-nets
Tài liệu tham khảo
Abdolhamidzadeh, 2010, A new method for assessing the domino effect in the chemical process industry, J. Hazard. Mater.
Abdolhamidzadeh, 2011, Domino effect in process-industry accidents - an inventory of past events and the identification of some patterns, J. Loss Prev. Process Ind., 10.1016/j.jlp.2010.06.013
Angeli, 2007, A Petri net approach to the study of persistence in chemical reaction networks, Math. Biosci., 10.1016/j.mbs.2007.07.003
Antonioni, 2009, Application of domino effect quantitative risk assessment to an extended industrial area, J. Loss Prev. Process Ind., 10.1016/j.jlp.2009.02.012
Assael MJ, 2010
Bagster, 1991, Estimation of domino incident frequencies - an approach, Process Saf. Environ. Protect., 69
Cozzani, 2004, The quantitative assessment of domino effects caused by overpressure: Part I. Probit models, J. Hazard. Mater., 107, 67, 10.1016/j.jhazmat.2003.09.013
Cozzani, 2005, The assessment of risk caused by the domino effect in quantitative area risk analysis, J. Hazard. Mater., 10.1016/j.jhazmat.2005.07.003
Cozzani, 2006, Escalation thresholds in the assessment of accidental domino events, J. Hazard. Mater., 10.1016/j.jhazmat.2005.08.012
Darbra, 2010, Domino effect in chemical accidents: main features and accident sequences, J. Hazard. Mater., 183, 565, 10.1016/j.jhazmat.2010.07.061
David, 2005
Delvosalle, 2006, ARAMIS project: a comprehensive methodology for the identification of reference accident scenarios in process industries, J. Hazard. Mater., 10.1016/j.jhazmat.2005.07.005
Deyab, 2018, Failure analysis of the offshore process component considering causation dependence, Process. Saf. Environ. Prot., 10.1016/j.psep.2017.10.010
GRIF-Workshop, 2016
Grunt, 2015, SPN as a tool for risk modelling of fires in process industries, J. Loss Prev. Process Ind., 34, 72, 10.1016/j.jlp.2015.01.024
Kadri, 2013, The assessment of risk caused by fire and explosion in chemical process industry: a Domino effect-based study, J. Risk Anal. Crisis Response, 3, 66, 10.2991/jrarc.2013.3.2.1
Khakzad, 2015, Application of dynamic Bayesian network to risk analysis of domino effects in chemical infrastructures, Reliab. Eng. Syst. Saf., 138, 263, 10.1016/j.ress.2015.02.007
Khakzad, 2013, Domino effect analysis using bayesian networks, Risk Anal., 33, 292, 10.1111/j.1539-6924.2012.01854.x
Khakzad, 2014, Risk management of domino effects considering dynamic consequence analysis, Risk Anal., 34, 1128, 10.1111/risa.12158
Khan, 1998, DOMIFFECT (DOMIno eFFECT): user-friendly software for domino effect analysis, Environ. Model. Softw., 10.1016/S1364-8152(98)00018-8
Khan, 1998, Models for domino effect analysis in chemical process industries, Process. Saf. Prog., 17, 107, 10.1002/prs.680170207
Khan, 2001, An assessment of the likelihood of occurrence, and the damage potential of domino effect (chain of accidents) in a typical cluster of industries, J. Loss Prev. Process Ind., 14, 283, 10.1016/S0950-4230(00)00048-6
Kourniotis, 2000, Statistical analysis of domino chemical accidents, J. Hazard. Mater., 71, 239, 10.1016/S0304-3894(99)00081-3
Landucci, 2009, The assessment of the damage probability of storage tanks in domino events triggered by fire, Accid. Anal. Prev., 41, 1206, 10.1016/j.aap.2008.05.006
Li, 2017, A bibliometric analysis of peer-reviewed publications on domino effects in the process industry, J. Loss Prev. Process Ind.
Mannan, 2012
Mingguang, 2008, An improved probit method for assessment of domino effect to chemical process equipment caused by overpressure, J. Hazard. Mater., 158, 280, 10.1016/j.jhazmat.2008.01.076
Murata, 1989, Petri nets: properties, analysis and applications, Proc. IEEE, 77, 541, 10.1109/5.24143
Paltrinieri, 2012
Reniers, 2010, An external domino effects investment approach to improving cross-plant safety within chemical clusters, J. Hazard. Mater., 177, 167, 10.1016/j.jhazmat.2009.12.013
Reniers, 2007, DomPrevPlanning©: user-friendly software for planning domino effects prevention, Saf. Sci., 10.1016/j.ssci.2006.10.004
Reniers, 2005, The use of current risk analysis tools evaluated toward preventing external domino accidents, J. Loss Prev. Process Ind., 10.1016/j.jlp.2005.03.001
Talebberrouane, 2016, Availability analysis of safety-critical systems using advanced fault tree and stochastic Petri net formalisms, J. Loss Prev. Process Ind., 44, 193, 10.1016/j.jlp.2016.09.007
Taleb-Berrouane, 2018, Model for microbiologically influenced corrosion potential assessment for the oil and gas industry, Corros. Eng. Sci. Technol., 53, 378, 10.1080/1478422X.2018.1483221
Vílchez, 1995, Historical analysis of accidents in chemical plants and the transportation of hazardous materials, J. Loss Prev. Process Ind., 10.1016/0950-4230(95)00006-M
Wu, 2010, Hybrid Petri net modelling and schedulability analysis of high fusion point oil transportation under tank grouping strategy for crude oil operations in the refinery, IEEE Trans. Syst. Man Cybern. C, 10.1109/TSMCC.2009.2032661
Zhou, 1990, Modelling and performance analysis of a resource-sharing manufacturing system using stochastic Petri nets, Proceedings 5th IEEE International Symposium on Intelligent Control 1990, 10.1109/ISIC.1990.128577