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Probabilistic safety assessment for optimum nuclear power plant life management (PLiM): theory and application of reliability analysis methods for major power plant components

Probabilistic safety assessment methods are used to calculate nuclear power plant durability and resource lifetime. Directing preventative maintenance, this title provides a comprehensive review of the theory and application of these methods.$bProbabilistic safety assessment methods are used to calc...

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Detalles Bibliográficos
Autores principales: Arkadov, G V, Getman, A F, Rodionov, A N
Lenguaje:eng
Publicado: Woodhead Publ. 2012
Materias:
Acceso en línea:http://cds.cern.ch/record/1629274
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author Arkadov, G V
Getman, A F
Rodionov, A N
author_facet Arkadov, G V
Getman, A F
Rodionov, A N
author_sort Arkadov, G V
collection CERN
description Probabilistic safety assessment methods are used to calculate nuclear power plant durability and resource lifetime. Directing preventative maintenance, this title provides a comprehensive review of the theory and application of these methods.$bProbabilistic safety assessment methods are used to calculate nuclear power plant durability and resource lifetime. Successful calculation of the reliability and ageing of components is critical for forecasting safety and directing preventative maintenance, and Probabilistic safety assessment for optimum nuclear power plant life management provides a comprehensive review of the theory and application of these methods. Part one reviews probabilistic methods for predicting the reliability of equipment. Following an introduction to key terminology, concepts and definitions, formal-statistical and various physico-statistical approaches are discussed. Approaches based on the use of defect-free models are considered, along with those using binomial distribution and models based on the residual defectiveness of structural materials. The practical applications of probabilistic methods for strength reliability are subsequently explored in part two. Probabilistic methods for increasing the reliability and safety of nuclear power plant components are investigated, as are the use of such methods for optimising non-destructive tests, hydraulic tests, technical certification and planned-preventative maintenance. Finally, the book concludes with information on the use of probabilistic methods in ensuring leak tightness of nuclear power plant steam generator heat exchanger pipes. With its distinguished authors, Probabilistic safety assessment for optimum nuclear power plant life management is a valuable reference for all nuclear plant designers, operators, nuclear safety engineers and managers, as well as academics and researchers in this field.
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spelling cern-16292742021-04-21T21:33:40Zhttp://cds.cern.ch/record/1629274engArkadov, G VGetman, A FRodionov, A NProbabilistic safety assessment for optimum nuclear power plant life management (PLiM): theory and application of reliability analysis methods for major power plant componentsEngineeringProbabilistic safety assessment methods are used to calculate nuclear power plant durability and resource lifetime. Directing preventative maintenance, this title provides a comprehensive review of the theory and application of these methods.$bProbabilistic safety assessment methods are used to calculate nuclear power plant durability and resource lifetime. Successful calculation of the reliability and ageing of components is critical for forecasting safety and directing preventative maintenance, and Probabilistic safety assessment for optimum nuclear power plant life management provides a comprehensive review of the theory and application of these methods. Part one reviews probabilistic methods for predicting the reliability of equipment. Following an introduction to key terminology, concepts and definitions, formal-statistical and various physico-statistical approaches are discussed. Approaches based on the use of defect-free models are considered, along with those using binomial distribution and models based on the residual defectiveness of structural materials. The practical applications of probabilistic methods for strength reliability are subsequently explored in part two. Probabilistic methods for increasing the reliability and safety of nuclear power plant components are investigated, as are the use of such methods for optimising non-destructive tests, hydraulic tests, technical certification and planned-preventative maintenance. Finally, the book concludes with information on the use of probabilistic methods in ensuring leak tightness of nuclear power plant steam generator heat exchanger pipes. With its distinguished authors, Probabilistic safety assessment for optimum nuclear power plant life management is a valuable reference for all nuclear plant designers, operators, nuclear safety engineers and managers, as well as academics and researchers in this field.Woodhead Publ.oai:cds.cern.ch:16292742012
spellingShingle Engineering
Arkadov, G V
Getman, A F
Rodionov, A N
Probabilistic safety assessment for optimum nuclear power plant life management (PLiM): theory and application of reliability analysis methods for major power plant components
title Probabilistic safety assessment for optimum nuclear power plant life management (PLiM): theory and application of reliability analysis methods for major power plant components
title_full Probabilistic safety assessment for optimum nuclear power plant life management (PLiM): theory and application of reliability analysis methods for major power plant components
title_fullStr Probabilistic safety assessment for optimum nuclear power plant life management (PLiM): theory and application of reliability analysis methods for major power plant components
title_full_unstemmed Probabilistic safety assessment for optimum nuclear power plant life management (PLiM): theory and application of reliability analysis methods for major power plant components
title_short Probabilistic safety assessment for optimum nuclear power plant life management (PLiM): theory and application of reliability analysis methods for major power plant components
title_sort probabilistic safety assessment for optimum nuclear power plant life management (plim): theory and application of reliability analysis methods for major power plant components
topic Engineering
url http://cds.cern.ch/record/1629274
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AT getmanaf probabilisticsafetyassessmentforoptimumnuclearpowerplantlifemanagementplimtheoryandapplicationofreliabilityanalysismethodsformajorpowerplantcomponents
AT rodionovan probabilisticsafetyassessmentforoptimumnuclearpowerplantlifemanagementplimtheoryandapplicationofreliabilityanalysismethodsformajorpowerplantcomponents