最佳核电站寿命管理的概率安全评估(PLiM)

最佳核电站寿命管理的概率安全评估(PLiM)

最佳核电站寿命管理的概率安全评估(PLiM)
概率安全评估方法用于计算核电站的耐久性和资源寿命。成功计算部件的可靠性和老化对于预测安全性和指导预防性维护至关重要,而用于优化核电厂寿命管理的概率安全评估为这些方法的理论和应用提供了全面的回顾。
第一部分回顾了预测设备可靠性的概率方法。在介绍了关键术语、概念和定义之后,讨论了正式统计方法和各种物理统计方法。考虑了基于无缺陷模型的方法,以及基于二项分布的方法和基于结构材料残余缺陷的模型。第二部分探讨了强度可靠性概率方法的实际应用。研究了提高核电厂部件可靠性和安全性的概率方法,以及优化无损试验、液压试验、技术认证和计划预防性维护的此类方法的使用。最后,本书总结了使用概率方法确保核电站蒸汽发生器热交换器管道密封性的信息。
凭借其杰出的作者,最佳核电厂寿命管理的概率安全评估对于所有核电厂设计人员、操作员、核安全工程师和管理人员以及该领域的学者和研究人员来说是一个有价值的参考。
讨论用于计算核电站(NPP)耐久性和寿命的概率安全评估方法的理论和应用
回顾概率方法在核电站部件和老化管道中的应用,以预测核电站资源寿命和安全
阐述了概率安全分析的关键领域,通过使用无损检测的在役检查(ISI)优化运行,以及维护、服务和维修方法
Probabilistic Safety Assessment for Optimum Nuclear Power Plant Life Management (PLiM)
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

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