Risk assessment of mitigated domino scenarios in process facilities
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Khakzad, 2015, Using graph theory to analyze the vulnerability of process plants in the context of cascading effects, Reliab Eng Syst Saf, 143, 63, 10.1016/j.ress.2015.04.015
Necci, 2015, Assessment of domino effect: State of the art and research Needs, Reliab Eng Syst Saf, 143, 3, 10.1016/j.ress.2015.05.017
Darbra, 2010, Domino effect in chemical accidents: main features and accident sequences, J Hazard Mater, 183, 565, 10.1016/j.jhazmat.2010.07.061
Casal, 2013, Analysis of past accidents and relevant case-histories, Domino Eff Process Ind Model Prev Manag, 12
Hemmatian, 2014, The significance of domino effect in chemical accidents, J Loss Prev Process Ind, 29, 30, 10.1016/j.jlp.2014.01.003
Cozzani V, Reniers G. Historical Background and State of the Art on Domino Effect Assessment. In: Reniers GLL., Valerio, Cozzani, editors. Domino Eff. Process Ind. Model. Prev. Manag., Amsterdam, The Netherlands: Elsevier, p. 1–10; 2013.
Cozzani, 2007, Prevention of domino effect: from active and passive strategies to inherently safer design, J Hazard Mater, 139, 209, 10.1016/j.jhazmat.2006.06.041
Reniers, 2007, DomPrevPlanning©: user-friendly software for planning domino effects prevention, Saf Sci, 45, 1060, 10.1016/j.ssci.2006.10.004
Khakzad, 2015, Cost-effective allocation of safety measures in chemical plants w.r.t. land-use planning, Saf Sci
Janssens, 2015, A decision model to allocate protective safety barriers and mitigate domino effects, Reliab Eng Syst Saf, 143, 44, 10.1016/j.ress.2015.05.022
NFPA-National Fire Protection Association. NFPA 15- standard for water spray fixed systems for fire protection. Quincy (MA): NFPA; 2009.
NORSOK-standards. Standard S-001- Technical Safety. 4th ed. Lysaker,NO: NORSOK; 2008.
SCI-SteelConstruction Institute. Availability and properties of passive and active fire protection systems, OTI92607. London, UK: Health and Safety Executive, HM Stationery Office, London, UK; 1992.
European Commission. European Parliament and Council Directive 2012/18/EU of 4 July 2012 on control of major-accident hazards involving dangerous substances, amending and subsequently repealing council directive 96/82/EC. Off J Eur Communities; 2012; L197. p. 1–37
Bagster, 1991, Estimation of domino incident frequencies - an approach. process Saf Environ Prot, Trans Inst Chem Eng Part B, 69, 195
Latha, 1992, Strategies for the quantification of thermally initiated cascade effects, J Loss Prev Process Ind, 5, 18, 10.1016/0950-4230(92)80061-C
Gledhill, 1998
1982
Contini, S., Boy, S., Atkinson, M., Labath, N., Banca, M., NordvikJ.P.. Domino effect evaluation of major industrial installations: a computer aided methodological approach. Proceedings Eur. Semin. Domino Eff., Leuven, B: 1996.
Egidi, 1995, The ARIPAR project: analysis of the major accident risks connected with industrial and transportation activities in the Ravenna area, Reliab Eng Syst Saf, 49, 75, 10.1016/0951-8320(95)00026-X
Reniers, 2005, The use of current risk analysis tools evaluated towards preventing external domino accidents, J Loss Prev Process Ind, 18, 119, 10.1016/j.jlp.2005.03.001
Khakzad, 2015, Risk-based design of process plants with regard to domino effects and land use planning, J Hazard Mater, 299, 289, 10.1016/j.jhazmat.2015.06.020
Abdolhamidzadeh, 2010, A new method for assessing domino effect in chemical process industry, J Hazard Mater, 182, 416, 10.1016/j.jhazmat.2010.06.049
Khakzad N, Reniers GLL, Abbassi R, Khan FVulnerability analysis of process plants subject to domino effects. Reliab Eng Syst Saf. n.d.
Khakzad, 2013, Domino effect analysis using bayesian networks, Risk Anal, 33, 292, 10.1111/j.1539-6924.2012.01854.x
Khakzad, 2015, Application of dynamic Bayesia n network to risk analysis of domino effects in chemical infrastructures, Reliab Eng Syst Saf, 138, 263, 10.1016/j.ress.2015.02.007
Landucci, 2015, Quantitative assessment of safety barrier performance in the prevention of domino scenarios triggered by fire, Reliab Eng Syst Saf, 143, 30, 10.1016/j.ress.2015.03.023
Landucci, 2016, Domino effect frequency assessment: the role of safety barriers, J Loss Prev Process Ind, 10.1016/j.jlp.2016.03.006
Cozzani, 2005, The assessment of risk caused by domino effect in quantitative area risk analysis, J Hazard Mater, 127, 14, 10.1016/j.jhazmat.2005.07.003
Antonioni, 2009, Application of domino effect quantitative risk assessment to an extended industrial area, J Loss Prev Process Ind, 22, 614, 10.1016/j.jlp.2009.02.012
Cozzani, 2014, Quantitative assessment of domino and NaTech scenarios in complex industrial areas, J Loss Prev Process Ind, 28, 10, 10.1016/j.jlp.2013.07.009
Reniers, 2013, 13 - Managing Domino Effects in a Chemical Industrial Area, 272
Hendershot, 1997, Inherently safer chemical process design, J Loss Prev Process Ind, 10, 151, 10.1016/S0950-4230(96)00055-1
Kletz, 1978, What you don’t have, can’t leak, Chem Ind, 1, 287
Amyotte, 2007, Incorporation of inherent safety principles in process safety management, Process Saf Prog, 26, 333, 10.1002/prs.10217
Cozzani, 2009, The development of an inherent safety approach to the prevention of domino accidents, Accid Anal Prev, 41, 1216, 10.1016/j.aap.2008.06.002
Tugnoli, 2008, Safety assessment in plant layout design using indexing approach: implementing inherent safety perspective. Part 1 - guideword applicability and method description, J Hazard Mater, 160, 100, 10.1016/j.jhazmat.2008.02.089
Tugnoli, 2008, Safety assessment in plant layout design using indexing approach: implementing inherent safety perspective. Part 2-domino hazard index and case study, J Hazard Mater, 160, 110, 10.1016/j.jhazmat.2008.02.091
Birk, 2006, On the thermal rupture of 1.9 m3 propane pressure vessels with defects in their thermal protection system, J Loss Prev Process Ind, 19, 582, 10.1016/j.jlp.2006.02.006
Di Padova, 2011, Identification of fireproofing zones in Oil & Gas facilities by a risk-based procedure, J Hazard Mater, 191, 83, 10.1016/j.jhazmat.2011.04.043
Droste, 1988, Full scale fire tests with unprotected and thermal insulated LPG storage tanks, J Hazard Mater, 20, 41, 10.1016/0304-3894(88)87005-5
Landucci, 2009, Experimental and analytical investigation of thermal coating effectiveness for 3m3 LPG tanks engulfed by fire, J Hazard Mater, 161, 1182, 10.1016/j.jhazmat.2008.04.097
Tugnoli, 2012, Mitigation of fire damage and escalation by fireproofing: a risk-based strategy, Reliab Eng Syst Saf, 105, 25, 10.1016/j.ress.2011.11.002
Birk, 1995, Scale effects with fire exposure of pressure-liquified gas tanks, Loss Prev Process Ind, 8, 275, 10.1016/0950-4230(95)00028-Y
Moodie, 1988, Experiments and modelling: - An overview with particular reference to fire engulfment, J Hazard Mater, 20, 149, 10.1016/0304-3894(88)87011-0
Roberts, 2000
Lees, 1996
Van Den Bosh CJH. Green Book, Methods for the Determination of Possible Damage, CPR 16E. The Hague (NL): Committee for the Prevention of Disasters; 1989.
Tugnoli, 2013, Managing domino effects from a design-based viewpoint. domino Eff. process Ind. model, Prev Manag, 246
Groethe, 2007, Large-scale hydrogen deflagrations and detonations, Int J Hydrog Energy, 32, 2125, 10.1016/j.ijhydene.2007.04.016
2000, SCI-Steel Construction Institute
Roberts, 2004, Directed deluge system designs and determination of the effectiveness of the currently recommended minimum deluge rate for the protection of LPG tanks, J Loss Prev Process Ind, 17, 103, 10.1016/j.jlp.2003.10.005
Roberts, 2004, Effectiveness of an enhanced deluge system to protect LPG tanks and sensitivity to blocked nozzles and delayed deluge initiation, J Loss Prev Process Ind, 17, 151, 10.1016/j.jlp.2003.10.009
Finucane M, Pinkney D. Reliability of fire protection and detection systems, SRD R431. Edinburgh (UK): United KingdomAtomic Energy Authority, University of Edinburgh; 1988.
Frank K, Gravestock N, Spearpoint M, Fleischmann C. A review of sprinkler system effectiveness studies. Fire Sci Rev; 2013.
Shirvill, 2004, Efficacy of water spray protection against propane and butane jet fires impinging on LPG storage tanks, J Loss Prev Process Ind, 17, 111, 10.1016/j.jlp.2003.10.004
Necci, 2014, Accident scenarios triggered by lightning strike on atmospheric storage tanks, Reliab Eng Syst Saf, 127, 30, 10.1016/j.ress.2014.02.005
Van Den Bosh CJH, RAPM Weterings. Methods for the calculation of physical effects (Yellow Book). third. The Hague (NL): Committee for the Prevention of Disasters; 2005.
Hølset, 1998, Properties of simulated gas explosions of interest to the structural design process, Process Saf Prog, 17, 278, 10.1002/prs.680170409
Alileche, 2015, Thresholds for domino effects and safety distances in the process industry: a review of approaches and regulations, Reliab Eng Syst Saf, 143, 74, 10.1016/j.ress.2015.04.007
Cozzani V, Tugnoli A, Bonvicini S, Salzano E. Threshold-Based Approach. Domino Eff. Process Ind. Model. Prev. Manag., Amsterdam, The Netherlands: Elsevier Science B.V.; 2013, p. 189–207
Cozzani, 2006, Quantitative assessment of domino scenarios by a GIS-based software tool, J Loss Prev Process Ind, 19, 463, 10.1016/j.jlp.2005.11.007
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, 2004, The quantitative assessment of domino effect caused by overpressure: Part II. case studies, J Hazard Mater, 107, 81, 10.1016/j.jhazmat.2003.09.014
Salzano, 2006, A fuzzy set analysis to estimate loss intensity following blast wave interaction with process equipment, J Loss Prev Process Ind, 19, 343, 10.1016/j.jlp.2005.08.002
Uijt de Haag PAM, Ale BJM. Guidelines for quantitative risk assessment (Purple Book). The Hague (NL): Committee for the Prevention of Disasters; 1999.
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
Spadoni, 2000, Through ARIPAR-GIS the quantified area risk analysis supports land-use planning activities, J Hazard Mater, 71, 423, 10.1016/S0304-3894(99)00091-6
Spadoni, 2003, The new version of ARIPAR and the benefits given in assessing and managing major risks in industrialised areas. process Saf Environ Prot, Trans Inst Chem Eng Part B, 81, 19, 10.1205/095758203762851958
Carter, 2000, 'Worst case' methodology for the initial assessment of societal risk from proposed major accident installations, J Hazard Mater, 71, 117, 10.1016/S0304-3894(99)00075-8
Derudi, 2014, Heavy gas dispersion in presence of large obstacles: selection of modeling tools, Ind Eng Chem Res, 53, 9303, 10.1021/ie4034895
Pontiggia, 2011, CFD model simulation of LPG dispersion in urban areas, Atmos Environ, 45, 3913, 10.1016/j.atmosenv.2011.04.071
Masum Jujuly, 2015, LNG pool fire simulation for domino effect analysis, Reliab Eng Syst Saf, 143, 19, 10.1016/j.ress.2015.02.010
Landucci, 2013, Heat radiation effects, 70
D’Aulisa, 2014, CFD modeling of LPG vessels under fire exposure conditions, AIChE J, 60, 4292, 10.1002/aic.14599
Landucci, 2016, Modeling heat transfer and pressure build-up in LPG vessels exposed to fires, Int J Therm Sci, 104, 228, 10.1016/j.ijthermalsci.2016.01.002
Reid, 1979, Possible mechanism for pressurized-liquid tank explosions or BLEVE's, Science, 203, 1263, 10.1126/science.203.4386.1263
Liu, 2000, A review of water mist fire suppression systems - fundamental studies, J Fire Prot Eng, 10, 32
MawhinneyJ.R., DlugogorskiB.Z., KimA.A closer look at the fire extinguishing properties of water mist. Fire Saf. Sci. - Proceedings 4th International Symp., London, UK: International Association for Fire Safety Science; 1994, p. 47–60.
Centre EPS. Atmospheric dispersion. Rugby (UK): Institution of Chemical Engineers; 1999.