Welcome to the PSAM 16 Conference paper and speaker overview page.
Lead Author: Courtney Otani Co-author(s): Mihai Diaconeasa, madiacon@ncsu.edu;
Steven Prescott, steven.prescott@inl.gov;
Arjun Earthperson, aarjun@ncsu.edu;
Robby Christian Robby.Christian@inl.gov
Probabilistic Methods for Cyclical and Coupled Systems with Changing Failure Rates
Advancements in the design of nuclear systems with automated control features has led to increasingly complex coupled systems and dynamic failure scenarios. This is especially true for micro reactor designs where components are not expected to be replaced during the reactors lifetime so the life of the system in addition to safety needs to be evaluated. Modeling these sequences of time-dependent events requires addressing cyclical processes and changing failure rates in ways that represent the true dynamics of the system in contrast to a single sampling for a component time to failure. This research presents two distinct analytical methods for several failure distributions, that evaluate a final time to failure used for different scenarios where the time to failure must be sampled multiple times. The first method is used when evaluating a component whose failure rate increases due to an outside event after the initial sampling but before the initially sampled time to failure. The second method is used when evaluating multiple identical components or a component that has been replaced with a new identical version before the second sampling. The two methods were implemented in a few representative case studies developed in the dynamic probabilistic risk assessment (PRA) tool Event Modeling Risk Assessment using Linked Diagrams (EMRALD). Overall, this paper provides guidelines on how these approaches could be considered for more realistic and accurate dynamic PRA of complex systems.
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Author and Presentation Info
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Lead Author Name: Courtney Otani (courtney.otani@inl.gov)
Bio: Courtney Otani (she/her) earned a Master of Science in mechanical engineering from the University of Washington and a Bachelor of Science in mechanical engineering from the University of Portland. While at the University of Washington, she was awarded a Clean Energy Institute graduate fellowship in 2019 to study the mixing properties of organic solvents and supercritical carbon dioxide for the purpose of metal organic framework synthesis. Currently she is a risk and reliability engineer/scientist for the Reliability, Risk, and Resilience Sciences department at Idaho National Laboratory. She also works on projects spearheaded in the Hydrogen and Thermal Systems department and the Infrastructure Security department. Her current work includes probabilistic risk assessment for novel nuclear power systems and thermal hydraulic system modeling.
Country: --- Company: Idaho National Laboratory Job Title: PRA Engineer/Scientist