Publications

Abstract not provided.

Severe accidents pose unique challenges for nuclear power plant operating crews, including limitations in plant status information and lack of detailed diagnosis and response planning support. Simulation-based PRA provides an opportunity to garner detailed insight into severe accidents; this insight has implications for both HRA and accident management. In this work, we present a framework leveraging simulation-based PRA methods to provide real-time diagnostic support for nuclear power plant operators during severe accidents. This paper presents a prototype model for diagnosing reactor system states associated with loss of flow and transient overpower accidents after an earthquake in a generic Sodium Fast Reactor. We discuss a vision for using this framework to enhance human performance and modelling.