Over the past 30 years, numerous concerns have been raised in the
literature regarding the capability of static modeling approaches
such as the event-tree (ET)/fault-tree (FT) methodology to
adequately account for the impact of
process/hardware/software/firmware/human interactions on nuclear
power plant safety assessment, and methodologies to augment the
ET/FT approach have been proposed. Often referred to as dynamic
probabilistic risk/safety assessment (DPRA/DPSA) methodologies,
which use a time-dependent phenomenological model of system
evolution along with a model of its stochastic behavior to model
for possible dependencies among failure events. The book contains a
collection of papers that describe at existing plant level
applicable DPRA/DPSA tools, as well as techniques that can be used
to augment the ET/FT approach when needed.
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