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Abstract JB277Full Paper + Presentation

Education Methods for Probabilistic Risk Assessment

Authors

PrimaryJoseph Edward Bonney— University of Maryland College Park · jbonney1@terpmail.umd.edu
Co-authorMichelle (Shelby) Bensi— University of Maryland · mbensi@umd.edu
Co-authorMohammad Modarres— University of Maryland · modarres@umd.edu
Co-authorkfaraji@umd.edu— kfaraji@umd.edu Edit Profile
As support for nuclear power grows in the U.S., maintaining a high standard of safety in all areas of the nuclear industry is essential to continued support and interest. Since the 1970s, the nuclear industry is increasingly using probabilistic risk assessment (PRA) to identify risk contributors and opportunities to improve safety. As part of the Supporting Strategic Training of Adaptable and Integrated Nuclear (SUSTAIN) Workforce project, the research team is compiling, curating, and creating educational content focused on nuclear safety and PRA. Through various open access web-based modules, the SUSTAIN project strives to create learning activities that can assist in providing future professionals and members of the public with an introduction to nuclear safety and PRA.

This presentation will highlight the web-based content and describe the overall curation and development process. Particular focus is placed on one of the four foundational SUSTAIN learning modules, which introduces the basic principles of the PRA method. Via this presentation, the research team seeks feedback from the professional community to augment and improve content.
Status: The abstract has been accepted!
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