Application of Reinforcement Learning to Deduce Nuclear Power Plant Severe Accident Scenario

Author:

Song Seok Ho,Lee Yeonha,Bae Jun Yong,Song Kyu Sang,Seo Mi Ro,Kim Sung Joong,Lee Jeong Ik

Publisher

Elsevier BV

Reference36 articles.

1. Validation of RCS depressurization strategy and core coolability map for independent scenarios of SBLOCA, SBO, and TLOFW;Seongnyeon Lee;Journal of Nuclear Science and Technology,2014

2. Numerical investigation of in-vessel core coolability of PWR through an effective safety injection flow model using MELCOR simulation;Joongoo Jeon;Annals of Nuclear Energy,2018

3. Effect of SAMG entry condition on operator action time for severe accident mitigation;Rae-Joon Park;Nuclear Engineering and Design,2011

4. Global sensitivity analysis for nuclear reactor LBLOCA with time-dependent outputs;Qingwen Xiong;Reliability Engineering & System Safety,2022

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