Model uncertainties considered The concept of identifying, describing, and defining the treatment approach for model uncertainties is relevant across various technical elements of a PRA.
Description of the uncertainty
Impact on the model
Whether the uncertainty is quantified
How the uncertainty is addressed
Uncertainty ID
OptionalnumberNumber of samples if using simulation Specific to simulation-based propagation methods (like Monte Carlo and Latin Hypercube) and is a general parameter for such methods.
Uncertainty propagation method Defines the method used to propagate uncertainty, which is a general concept applicable across different types of uncertainty analysis within a PRA.
OptionalrandomSeed value for random number generator if using simulation Used in simulation-based uncertainty propagation to ensure reproducibility or to control the random number generation process.
OptionalsensitivitySensitivity studies for unquantified uncertainties Sensitivity analysis is a general technique used to assess the impact of parameter variations or uncertainties on the results of an analysis.
Base interface for uncertainty analysis across technical elements.
This interface provides a consistent structure for documenting uncertainty propagation methods and model uncertainties across different technical elements.