An integrated methodology for spatio-temporal incorporation of underlying failure mechanisms into fire probabilistic risk assessment of nuclear power plants

Tatsuya Sakurahara, Zahra Mohaghegh, Seyed Reihani, Ernie Kee, Mark Brandyberry and Shawn Rodgers

Reliability Engineering and System Safety, 2018, vol. 169, issue C, 242-257

Abstract: In this research, an Integrated probabilistic risk assessment (I-PRA) methodological framework for Fire PRA is developed to provide a unified multi-level probabilistic integration, beginning with spatio-temporal simulation-based models of underlying failure mechanisms (i.e., physical phenomena and human actions), connecting to component-level failures, and then linking to system-level risk scenarios in classical PRA. The simulation-based module, called the fire simulation module (FSM), includes state-of-the-art models of fire initiation, fire progression, post-fire failure damage propagation, fire brigade response, and scenario-based damage. Fire progression is simulated using a CFD code, fire dynamics simulator (FDS), which solves Navier–Stokes equations governing the turbulent flow field. Uncertainty quantification is conducted to address parameter uncertainties. The I-PRA paves the way for reducing excessive conservatisms derived from the modeling of (i) fire progression and damage and (ii) the interactions between fire progression and manual suppression. Global importance measure analysis is used to rank the risk-contributing factors. A case study demonstrates the implementation of I-PRA for a regulatory-documented fire scenario.

Keywords: Fire probabilistic risk assessment (PRA); Simulation-based PRA; Integrated probabilistic risk assessment (I-PRA); Uncertainty analysis; Fire dynamics simulator (FDS); Fire brigade; Fire human reliability analysis (HRA); Common cause failure; Global importance measure (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:169:y:2018:i:c:p:242-257

DOI: 10.1016/j.ress.2017.09.001

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