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Proof-of-concept accident diagnostic support for Sodium Fast Reactors

Groth, K.M.; Denman, Matthew R.; Jones, T.; Darling, M.; Luger, George F.

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.