Markovian reliability analysis under uncertainty with an application on the shutdown system of the Clinch River Breeder Reactor [electronic resource]

A methodology for the assessment of the uncertainties about the reliability of nuclear reactor systems described by Markov models is developed, and the uncertainties about the probability of loss of coolable core geometry (LCG) of the Clinch River Breeder Reactor (CRBR) due to shutdown system failur...

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Bibliographic Details
Online Access: Online Access
Main Authors: Papazoglou, I A (Author), Gyftopoulos, E P (Author)
Corporate Author: Brookhaven National Laboratory (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Upton, N.Y. : Oak Ridge, Tenn. : Brookhaven National Laboratory ; distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 1978.
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Summary:A methodology for the assessment of the uncertainties about the reliability of nuclear reactor systems described by Markov models is developed, and the uncertainties about the probability of loss of coolable core geometry (LCG) of the Clinch River Breeder Reactor (CRBR) due to shutdown system failures, are assessed. Uncertainties are expressed by assuming the failure rates, the repair rates and all other input variables of reliability analysis as random variables, distributed according to known probability density functions (pdf). The pdf of the reliability is then calculated by the moment matching technique. Two methods have been employed for the determination of the moments of the reliability: the Monte Carlo simulation; and the Taylor-series expansion. These methods are adopted to Markovian problems and compared for accuracy and efficiency.
Item Description:Published through SciTech Connect.
09/01/1978.
"nureg/cr-0405"
" bnl-nureg-50864"
Papazoglou, I A; Gyftopoulos, E P.
Physical Description:Pages: 258 : digital, PDF file.