AUTHOR=Corritore Daniele , Paolacci Fabrizio , Caprinozzi Stefano 

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

JOURNAL=Frontiers in Built Environment

VOLUME=Volume 7 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/built-environment/articles/10.3389/fbuil.2021.780719

DOI=10.3389/fbuil.2021.780719

ISSN=2297-3362

ABSTRACT=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 of such plants. Several analytical and numerical methods have been proposed and validated through representative case studies. Nevertheless, the complexity of this matter makes difficult their applicability, especially when a rapid identification of the critical components of a plant is required, which may induce hazardous material release and thus severe consequence for the environment and the community. Accordingly, in this paper a screening methodology is proposed for a rapid choice 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 P(d) for all components, based on an analytical representation of the site seismic hazard and fragility curves of the equipment involved. For this purpose, fragility curves currently available in the literature could be used for simplicity, whereas the parameters of the seismic hazard curve are estimated based on the regional seismicity. The representative damage states for each unit typology are selected based on specific Damage/Loss of Containment (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) to a consequence index (CI) a Global Risk Index (GRI) is derived, which provides the severity of the scenario.  This allows to build a ranking of the most hazardous components of a process plant that will be analyzed in a subsequent analysis level. The applicability of the method is shown using a representative case study.