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- W4312915307 abstract "Abstract Seismic events could expose industrial facilities to huge economic losses due to production capacity loss. The loss of production capacity and economic losses are not only influenced by direct damages that occur to a facility due to earthquakes, but also they are highly related to recovery process. Recovery process is a function of plant preparedness, recovery plan, and its applicability. In order to have a clear view of economic losses in a process plant in case of seismic events, plant resilience can be useful. Consequently, this paper presents a comprehensive framework for the quantification of seismic resilience of a process plant, at plant level. After the introduction of resilience definition and process plant resilience metrics, a probabilistic methodology for calculation of seismic resilience of plant is presented; furthermore, scenario-based analysis for calculation of risk and resilience metrics is introduced and explained. Finally, case study of a black carbon plant is used to show the applicability of scenario-based analysis for calculation of risk and resilience performance metric. Resilience index, expected annual losses and operational capacity curve are used as performance metrics for process plant. The proposed methodology is the first steps toward a risk and resilience targeted design/assessment of process plants under seismic loading." @default.
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- W4312915307 date "2022-07-17" @default.
- W4312915307 modified "2023-10-16" @default.
- W4312915307 title "Quantitative Probabilistic Seismic Resilience Assessment of Industrial Facilities" @default.
- W4312915307 doi "https://doi.org/10.1115/pvp2022-84660" @default.
- W4312915307 hasPublicationYear "2022" @default.
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