Linkage of PRA models. Phase 1, Results | Zendy

C.L. Smith | Zendy; James Knudsen | Zendy; Dana Kelly | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Linkage of PRA models. Phase 1, Results

Author(s) -

C.L. Smith,

James Knudsen,

Dana Kelly

Publication year - 1995

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/195784

Subject(s) - linkage (software) , selection (genetic algorithm) , commission , computer science , probabilistic logic , work (physics) , model selection , phase (matter) , scheme (mathematics) , operations research , engineering , machine learning , artificial intelligence , mathematics , physics , political science , biology , law , mechanical engineering , mathematical analysis , biochemistry , quantum mechanics , gene

The goal of the Phase I work of the ``Linkage of PRA Models`` project was to postulate methods of providing guidance for US Nuclear Regulator Commission (NRC) personnel on the selection and usage of probabilistic risk assessment (PRA) models that are best suited to the analysis they are performing. In particular, methods and associated features are provided for (a) the selection of an appropriate PRA model for a particular analysis, (b) complementary evaluation tools for the analysis, and (c) a PRA model cross-referencing method. As part of this work, three areas adjoining ``linking`` analyses to PRA models were investigated: (a) the PRA models that are currently available, (b) the various types of analyses that are performed within the NRC, and (c) the difficulty in trying to provide a ``generic`` classification scheme to groups plants based upon a particular plant attribute

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research