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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 lifetimeReviews probabilistic methods in their
application to NPP components and ageing pipelines for the
forecasting of NPP resource lifetime and safetyAddresses 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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