A dynamic probabilistic safety margin characterization approach in support of Integrated Deterministic and Probabilistic Safety Analysis

Francesco Di Maio, Ajit Rai and Enrico Zio

Reliability Engineering and System Safety, 2016, vol. 145, issue C, 9-18

Abstract: The challenge of Risk-Informed Safety Margin Characterization (RISMC) is to develop a methodology for estimating system safety margins in the presence of stochastic and epistemic uncertainties affecting the system dynamic behavior. This is useful to support decision-making for licensing purposes. In the present work, safety margin uncertainties are handled by Order Statistics (OS) (with both Bracketing and Coverage approaches) to jointly estimate percentiles of the distributions of the safety parameter and of the time required for it to reach these percentiles values during its dynamic evolution.

Keywords: Risk-Informed Safety Margins; Dynamic probabilistic safety margins; Order Statistics; Grace time (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (15)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:145:y:2016:i:c:p:9-18

DOI: 10.1016/j.ress.2015.08.016

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