Probabilistic 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 of this important book reviews probabilistic methods for predicting the reliability of equipment, whilst the practical applications of probabilistic methods for strength reliability are explored in part two.
Key Features: discusses the theory and application of probabilistic safety assessment methods used to calculate nuclear power plant (NPP) durability and lifetime; reviews probabilistic methods in their application to NPP components and ageing pipelines for the forecasting of NPP resource lifetime and safety; addresses the key areas of probabilistic safety analysis, optimization of the operations through in-service inspection (ISI) utilising non-destructive testing, and maintenance, service and repair approaches.
Contents: Part 1 Probabilistic methods for predicting the reliability of equipment: Terminology, concepts and definitions; Formal statistical methods; Formal statistical methods; Physico statistical approach: Procedures using the defect-free model of structural material; Physico statistical approach taking defects into account and using binomial distribution; Physico-statistical models based on the residual defectiveness of structural materials. Part 2 Practical application of probabilistic methods for strength reliability: Probabilistic analysis of safety: Increasing the reliability and safety of nuclear power plant components; Optimisation of non-destructive testing; Optimisation of hydraulic tests, technical certification and planned-preventative maintenance; Using probabilistic methods for solving the problem of ensuring leak tightness of heat exchanger pipes of nuclear power plant steam generators.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr Gennadij V. Arkadov and Prof. Alexander F. Getman are based at the All-Russia Scientific Research Institute for Nuclear Power Plants Operation (VNIIAES), Russia. Dr Andrei N Rodionov is based at the Institute for Radiological Protection and Nuclear Safety (IRSN), France.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Probabilistic 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. Englisch. N° de réf. du vendeur 9780857093981
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Probabilistic 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. N° de réf. du vendeur 9780857093981
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