A Screening Methodology for the Identification of Critical Units in Major-Hazard Facilities Under Seismic Loading

The complexity of process industry and the consequences that Na-Tech events could produce in terms of damage to equipment, release of dangerous substances (flammable, toxic, or explosive), and environmental consequences have prompted the scientific community to focus on the development of efficient...

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Autores principales:	Daniele Corritore, Fabrizio Paolacci, Stefano Caprinozzi
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	process plants na-tech events seismic risk analysis selection method critical units Engineering (General). Civil engineering (General) TA1-2040 City planning HT165.5-169.9
Acceso en línea:	https://doaj.org/article/27e8e7e53f7d4aa8b823edda66ec47db
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spelling	oai:doaj.org-article:27e8e7e53f7d4aa8b823edda66ec47db2021-11-17T06:39:53ZA Screening Methodology for the Identification of Critical Units in Major-Hazard Facilities Under Seismic Loading2297-336210.3389/fbuil.2021.780719https://doaj.org/article/27e8e7e53f7d4aa8b823edda66ec47db2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fbuil.2021.780719/fullhttps://doaj.org/toc/2297-3362The complexity of process industry and the consequences that Na-Tech events could produce in terms of damage to equipment, release of dangerous substances (flammable, toxic, or explosive), and environmental consequences have prompted the scientific community to focus on the development of efficient methodologies for Quantitative Seismic Risk Analysis (QsRA) of process plants. Several analytical and numerical methods have been proposed and validated through representative case studies. Nevertheless, the complexity of this matter makes their applicability difficult, especially when a rapid identification of the critical components of a plant is required, which may induce hazardous material release and thus severe consequences for the environment and the community. Accordingly, in this paper, a screening methodology is proposed for rapid identification of the most critical components of a major-hazard plant under seismic loading. It is based on a closed-form assessment of the probability of damage for all components, derived by using analytical representations of the seismic hazard curve and the fragility functions of the equipment involved. For this purpose, fragility curves currently available in the literature or derived by using low-fidelity models could be used for simplicity, whereas the parameters of the seismic hazard curve are estimated based on the regional seismicity. The representative damage states (DS) for each equipment typology are selected based on specific damage states/loss of containment (DS/LOC) matrices, which are used to individuate the most probable LOC events. The risk is then assessed based on the potential consequences of a LOC event, using a classical consequence analysis, typically adopted in risk analysis of hazardous plants. For this purpose, specific probability classes will be used. Finally, by associating the Probability Class Index (PI) with Consequence Index (CI), a Global Risk Index (GRI) is derived, which provides the severity of the scenario. This allows us to build a ranking of the most hazardous components of a process plant by using a proper risk matrix. The applicability of the method is shown through a representative case study.Daniele CorritoreFabrizio PaolacciStefano CaprinozziFrontiers Media S.A.articleprocess plantsna-tech eventsseismic risk analysisselection methodcritical unitsEngineering (General). Civil engineering (General)TA1-2040City planningHT165.5-169.9ENFrontiers in Built Environment, Vol 7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	process plants na-tech events seismic risk analysis selection method critical units Engineering (General). Civil engineering (General) TA1-2040 City planning HT165.5-169.9
spellingShingle	process plants na-tech events seismic risk analysis selection method critical units Engineering (General). Civil engineering (General) TA1-2040 City planning HT165.5-169.9 Daniele Corritore Fabrizio Paolacci Stefano Caprinozzi A Screening Methodology for the Identification of Critical Units in Major-Hazard Facilities Under Seismic Loading
description	The complexity of process industry and the consequences that Na-Tech events could produce in terms of damage to equipment, release of dangerous substances (flammable, toxic, or explosive), and environmental consequences have prompted the scientific community to focus on the development of efficient methodologies for Quantitative Seismic Risk Analysis (QsRA) of process plants. Several analytical and numerical methods have been proposed and validated through representative case studies. Nevertheless, the complexity of this matter makes their applicability difficult, especially when a rapid identification of the critical components of a plant is required, which may induce hazardous material release and thus severe consequences for the environment and the community. Accordingly, in this paper, a screening methodology is proposed for rapid identification of the most critical components of a major-hazard plant under seismic loading. It is based on a closed-form assessment of the probability of damage for all components, derived by using analytical representations of the seismic hazard curve and the fragility functions of the equipment involved. For this purpose, fragility curves currently available in the literature or derived by using low-fidelity models could be used for simplicity, whereas the parameters of the seismic hazard curve are estimated based on the regional seismicity. The representative damage states (DS) for each equipment typology are selected based on specific damage states/loss of containment (DS/LOC) matrices, which are used to individuate the most probable LOC events. The risk is then assessed based on the potential consequences of a LOC event, using a classical consequence analysis, typically adopted in risk analysis of hazardous plants. For this purpose, specific probability classes will be used. Finally, by associating the Probability Class Index (PI) with Consequence Index (CI), a Global Risk Index (GRI) is derived, which provides the severity of the scenario. This allows us to build a ranking of the most hazardous components of a process plant by using a proper risk matrix. The applicability of the method is shown through a representative case study.
format	article
author	Daniele Corritore Fabrizio Paolacci Stefano Caprinozzi
author_facet	Daniele Corritore Fabrizio Paolacci Stefano Caprinozzi
author_sort	Daniele Corritore
title	A Screening Methodology for the Identification of Critical Units in Major-Hazard Facilities Under Seismic Loading
title_short	A Screening Methodology for the Identification of Critical Units in Major-Hazard Facilities Under Seismic Loading
title_full	A Screening Methodology for the Identification of Critical Units in Major-Hazard Facilities Under Seismic Loading
title_fullStr	A Screening Methodology for the Identification of Critical Units in Major-Hazard Facilities Under Seismic Loading
title_full_unstemmed	A Screening Methodology for the Identification of Critical Units in Major-Hazard Facilities Under Seismic Loading
title_sort	screening methodology for the identification of critical units in major-hazard facilities under seismic loading
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/27e8e7e53f7d4aa8b823edda66ec47db
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A Screening Methodology for the Identification of Critical Units in Major-Hazard Facilities Under Seismic Loading

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