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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

معرفی کتاب «Probabilistic Safety Assessment for Optimum Nuclear Power Plant Life Management (PLiM) : Theory and Application of Reliability Analysis Methods for Major Power Plant Components» نوشتهٔ Gennadij V. Arkadov, Alexander F. Getman, Andrei N. Rodionov، منتشرشده توسط نشر Woodhead Publishing Ltd در سال 2012. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

This book provides an overview of probablistic methods for calculating the strength and operating life of equipment and pipelines of nuclear power plants (NPPs), including using the criteria of resistance to full or partial destruction with the formation of breaks, leaks or defects in the metal, taking into account the aging of equipment and pipelines in service. The authors pay particular attention to the practical application of the results of calculations of the strength and operating life of equipment and pipelines, the optimization of inservice inspection and maintainance and repair. The aims of this book are: -To describe the main methods used in nuclear power engineering for the determination of quantitative characteristics of the reliability of equipment and piping of NPP -To clarify the mechanisms of aging of equipment and piping in service and discuss the impact of those mechanisms on reliability -To evaluate the possibility of extensive practical application of the methods for determining the reliability characteristics and the use of these methods for solving the current problems in operation This is a revised and translated version of an original Russian language work published in 2010 by Energoatomizdat, Russia. 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.

  • 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
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 physicostatistical 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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