Probabilistic Safety Analysis Methods for Applications in NuclearTechnologies
The ability to correctly make safety-related decisions and to demonstrate compliance with
existing limits is of great importance in the nuclear safety analysis industry. For example, we
may be interested to assess whether or not a physical component (such as the pressure tube
which carries fuel) has undergone physical changes that have exceeded its allowable limits.
The problem relies on the development of models that involve parameters describing such
components and to use the models to predict and assess whether the parameter has become
non-compliant. These predictive models are based on (imperfect) experimental data or
complex computational codes. Thus, these physical parameters are considered as random
variables that are subject to uncertainties (e.g., stochastic and epistemic uncertainties) that
affect our ability to make safety-related decisions. The objective of this project will be to
investigate the development of methods and tools required to demonstrate the statistical
basis for reaching decisions that are consistent with the so-called 95/95 industry standard.
Voir la description complète du projetFred Hoppe
AMEC (St. John's, NL)
Mathematics
Professional, scientific and technical services
McMaster University
Accelerate