z-logo
open-access-imgOpen Access
Advance Liquid Metal Reactor Discrete Dynamic Event Tree/Bayesian Network Analysis and Incident Management Guidelines (Risk Management for Sodium Fast Reactors)
Author(s) -
Matthew R Denman,
Katrina M. Groth,
Jeffrey N Cardoni,
Timothy A. Wheeler
Publication year - 2015
Language(s) - English
Resource type - Reports
DOI - 10.2172/1177842
Subject(s) - event tree , fault tree analysis , risk analysis (engineering) , accident management , event (particle physics) , computer science , component (thermodynamics) , bayesian network , nuclear power , inherent safety , dynamic bayesian network , nuclear power plant , risk management , reliability engineering , engineering , nuclear engineering , business , physics , quantum mechanics , artificial intelligence , nuclear physics , thermodynamics , ecology , finance , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom