Papers

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Improving the Efficiency of Dynamic Probabilistic Risk Assessment with Monte Carlo Tree Search and Importance Sampling

10:00–10:20AM PDT

Joseph F. O'Leary (University of Maryland, A. James Clark School of Engineering), Yunfei Zhao (Univ. Maryland, College Park)

A Deep-Learning based Heuristic for Optimal Variable Ordering in Binary Decision Diagrams to Support Fault Tree Analysis

10:20–10:40AM PDT

Arjun Earthperson (NCSU), Egemen M. Aras (NCSU), Asmaa S. Farag (Nuclear Installations Safety Division), Mihai A. Diaconeasa (NCSU)

Quantifying Safety System Unavailability Margins via Inverse Estimation of Event Sequence Frequencies

10:40–11:00AM PDT

Arjun Earthperson (NCSU), Priyanka M. Pandit (NCSU), Mihai A. Diaconeasa (NCSU)

Markov Decision Processes for Intelligent, Risk-Informed Asset-Management Decision-Making

11:00–11:20AM PDT

David S. Grabaskas (ANL), Yunfei Zhao (Ohio State), Carol S. Smidts (Ohio State), Vera Moiseytseva (ANL), Roberto Ponciroli (ANL), Pascal Brocheny (Framatome)

Data Updating Model Development with Bayesian Inference for Data Analysis for Probabilistic Risk Assessment Application

11:20–11:40AM PDT

Joomyung Lee (NCSU), Mostafa M. Hamza (NCSU), Rawan Mustafa (NCSU), Olivier Retourne (X-energy), Huafei Liao (X-energy), Glen I. Lawson (X-energy), Mihai A. Diaconeasa (NCSU)


Discussion

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