Bootstrap and Order Statistics for Quantifying Thermal-Hydraulic Code Uncertainties in the Estimation of Safety Margins | Zendy

Enrico Zio | Zendy; Francesco Di Maio | Zendy

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Bootstrap and Order Statistics for Quantifying Thermal-Hydraulic Code Uncertainties in the Estimation of Safety Margins

Author(s) -

Enrico Zio,

Francesco Di Maio

Publication year - 2008

Publication title -

science and technology of nuclear installations

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.417

H-Index - 24

eISSN - 1687-6083

pISSN - 1687-6075

DOI - 10.1155/2008/340164

Subject(s) - margin (machine learning) , confidence interval , rbmk , thermal hydraulics , code (set theory) , statistics , cladding (metalworking) , work (physics) , interval (graph theory) , prediction interval , engineering , mathematics , nuclear engineering , environmental science , nuclear reactor , computer science , mechanical engineering , mechanics , materials science , set (abstract data type) , physics , heat transfer , combinatorics , machine learning , metallurgy , programming language

In the present work, the uncertainties affecting the safety margins estimated from thermal-hydraulic code calculations are captured quantitatively by resorting to the order statistics and the bootstrap technique. The proposed framework of analysis is applied to the estimation of the safety margin, with its confidence interval, of the maximum fuel cladding temperature reached during a complete group distribution blockage scenario in a RBMK-1500 nuclear reactor

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