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dc.contributor.authorGonzález Dan, José Roberto
dc.contributor.authorGuix Pujolar, Alan
dc.contributor.authorMartí Gregorio, Vicenç
dc.contributor.authorArnaldos Viger, Josep
dc.contributor.authorDarbra Roman, Rosa Maria
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2017-07-25T10:29:35Z
dc.date.available2017-07-25T10:29:35Z
dc.date.issued2016-07
dc.identifier.citationGonzález Dan, J. R., Guix, A., Martí, V., Arnaldos, J., Darbra, R.M. Monte carlo simulation as a tool to show the influence of the human factor into the quantitative risk assessment. "Process safety and environmental protection", Juliol 2016, vol. 102, p. 441-449.
dc.identifier.issn0957-5820
dc.identifier.urihttp://hdl.handle.net/2117/106797
dc.description.abstractThe frequency of occurrence of an accident is a key aspect in the risk assessment field. Vari- ables such as the human factor (HF), which is a major cause of undesired events in process industries, are usually not considered explicitly, mainly due to the uncertainty generated due to the lack of knowledge and the complexity associated to it. In this work, failure frequencies are modified through Monte Carlo (MC) simulation includ- ing the uncertainty generated by HF. MC is one of the most commonly approach used for uncertainty assessment based on probability distribution functions that represent all the variables included in the model. This technique has been also proved to be very useful in the risk assessment field. The model takes into account the uncertainty and variability generated by several HF variables. In order to test the model, it has been applied to two real case studies, obtaining new frequency values for the different scenarios. Together with the consequences assessment, new isorisk curves were plotted. Since the uncertainty generated by the HF has now been taken in to account through MC simulation, these new values are more realistic and accurate. As a result, an improvement of the final risk assessment is achieved.
dc.format.extent9 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria química
dc.subject.lcshRisk assessment
dc.subject.lcshMonte Carlo method
dc.subject.lcshSafety
dc.subject.lcshChemical industry
dc.subject.lcshAccidents
dc.subject.otherUncertainty
dc.subject.otherHuman factor
dc.subject.otherRisk assessment
dc.subject.otherMonte Carlo simulation
dc.subject.otherSafety
dc.subject.otherChemical industry
dc.subject.otherAccidents
dc.titleMonte carlo simulation as a tool to show the influence of the human factor into the quantitative risk assessment
dc.typeArticle
dc.subject.lemacAvaluació del risc
dc.subject.lemacSeguretat
dc.subject.lemacIndústria química
dc.contributor.groupUniversitat Politècnica de Catalunya. CERTEC - Centre d'Estudis del Risc Tecnològic
dc.contributor.groupUniversitat Politècnica de Catalunya. SETRI - Grup de Tècniques de Separació i Tractament de Residus Industrials
dc.identifier.doi10.1016/j.psep.2016.04.024
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0957582016300416
dc.rights.accessOpen Access
local.identifier.drac18534909
dc.description.versionPostprint (author's final draft)
local.citation.authorGonzález Dan, J. R.; Guix, A.; Martí, V.; Arnaldos, J.; Darbra, R.M.
local.citation.publicationNameProcess safety and environmental protection
local.citation.volume102
local.citation.startingPage441
local.citation.endingPage449


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