Probabilistic Safety Assessment for Optimum Nuclear Power Plant Life Management (PLiM)

1st Edition

Theory and Application of Reliability Analysis Methods for Major Power Plant Components

Editors:

  • Gennadij Arkadov
  • Alexander Getman
  • Andrei Rodionov
  • Description

    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.

    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

    Readership

    Nuclear plant designers, operators, nuclear safety engineers and managers, academics and researchers in this field.

    Table of Contents

    Woodhead Publishing Series in Energy

    Preface

    Part One: Probabilistic methods for predicting the reliability of equipment

    Chapter 1: Terminology, concepts and definitions

    1.1 Terminology, abbreviations, symbols

    Abbreviations

    Symbols

    1.2 Basic terms and formulas of reliability theory, probability theory and mathematical statistics

    1.3 Safety of nuclear power stations. Active and passive safety features

    1.4 Strength reliability and its connection with nuclear safety and service life of NPP

    1.5 Ageing of equipment and pipelines. Ageing considered and not considered in design

    1.6 Quantitative characteristics of reliability and their implications for safety analysis and optimisation of operating costs

    1.7 Formal-statistical and physico-statistical approaches to predicting the reliability of technical systems

    Chapter 2: Formal-Statistical methods

    2.1 The simplest model

    2.2 Markov processes

    2.3 The Monte Carlo method

    2.4 Risk theory

    2.5 Accounting for ageing in formal mathematical models

    Chapter 3: Physico-statistical approach: Procedures using the defect-free model of structural material

    3.1 Probability of failure under random static loading. The method proposed by Rzhanitsyn

    3.2 Probability of failure under cyclic loading causing fatigue of constructional materials

    Chapter 4: Physico-statistical approach taking defects into account and using binomial distribution

    4.1 Key elements of the behaviour of structures with crack-type defects

    4.2 Methods of determining failure probability using a binomial distribution

    Chapter 5: Physico-statistical models based on the residual defectiveness of structural materials

    5.1 Regularities of the formation, detection and omission of defects during non-destructive testing

    Study of detection of defects at the given constant co

    Details

    No. of pages:
    368
    Language:
    English
    Copyright:
    © 2012
    Published:
    Imprint:
    Woodhead Publishing
    Print ISBN:
    9780857093981
    Electronic ISBN:
    9780857093998

    About the editors

    Gennadij Arkadov

    Dr Gennadij V. Arkadov is based at the All-Russia Scientific Research Institute for Nuclear Power Plants Operation (VNIIAES), Russia.

    Alexander Getman

    Prof. Alexander F. Getman is based at the All-Russia Scientific Research Institute for Nuclear Power Plants Operation (VNIIAES), Russia.

    Affiliations and Expertise

    All-Russia Scientific Research Institute for Nuclear Power Plants Operation (VNIIAES), Russia

    Andrei Rodionov

    Dr Andrei N. Rodionov is based at the Institute for Radiological Protection and Nuclear Safety (IRSN), France.

    Affiliations and Expertise

    Institute for Radiological Protection and Nuclear Safety (IRSN), France