[HTML][HTML] Probabilistic deep learning model as a tool for supporting the fast simulation of a thermal–hydraulic code

S Ryu, H Kim, SG Kim, K Jin, J Cho, J Park - Expert Systems with …, 2022 - Elsevier
Abstract Following the Fukushima Daiichi accident, enhancing the safety of nuclear power
plants has become the priority mission for the future of nuclear energy. Probabilistic safety …

Seismic fragility analysis of containment structure subjected to near fault ground motions

S Jin, D Wang, D Jiang - Progress in Nuclear Energy, 2023 - Elsevier
This study presents seismic fragility analysis of the containment structure subjected to near
fault ground motion. Prior to perform seismic fragility analysis, 20 near fault ground motion …

Development of dynamic integrated consequence evaluation (DICE) for dynamic event tree approaches: Numerical validation for a loss of coolant accident

S Baek, G Heo - Reliability Engineering & System Safety, 2023 - Elsevier
Although conventional probabilistic safety assessment (PSA) makes a sufficient contribution
to evaluating the safety of nuclear facilities, it suffers some limitations in performing optimal …

[HTML][HTML] Application of probabilistic safety assessment (PSA) to the power reactor innovative small module (PRISM)

I Alrammah - Nuclear Engineering and Technology, 2022 - Elsevier
Several countries show interest in the Generation-IV power reactor innovative small module
(PRISM), including: Canada, Japan, Korea, Saudi Arabia and the United Kingdom …

Simulation optimization framework for dynamic probabilistic safety assessment

JW Park, SJ Lee - Reliability Engineering & System Safety, 2022 - Elsevier
Probabilistic safety assessment (PSA) based on event trees and fault trees has been widely
used in the risk assessment of nuclear power plants. A static approach by nature, PSA has …

Human reliability evaluation method covering operator action timing for dynamic probabilistic safety assessment

W Jo, SJ Lee - Reliability Engineering & System Safety, 2024 - Elsevier
Dynamic probabilistic safety assessment (PSA) has been introduced due to the limitations of
static-based PSA such as the difficulty to analyze dynamic sequences caused by stochastic …

Limit surface/states searching algorithm with a deep neural network and Monte Carlo dropout for nuclear power plant safety assessment

J Bae, JW Park, SJ Lee - Applied Soft Computing, 2022 - Elsevier
For decades, efforts have been made to enhance the realism of risk assessment methods for
nuclear power plants (NPPs) by augmenting the number of representative scenarios. The …

Dynamic probabilistic risk assessment of seismic-induced flooding in pressurized water reactor by seismic, flooding, and thermal-hydraulics simulations

K Kubo, S Jang, T Takata… - Journal of Nuclear …, 2023 - Taylor & Francis
Probabilistic risk assessment (PRA) is an essential approach to improving the safety of
nuclear power plants. However, this method includes certain difficulties, such as modeling of …

[HTML][HTML] A case study to address the limitation of accident scenario identifications with respect to diverse manual responses

J Park, H Kim - Reliability Engineering & System Safety, 2024 - Elsevier
Probabilistic safety assessment (PSA) is a tool for securing the operational safety of nuclear
power plants. One unique benefit of PSA is to identify accident scenarios leading to …

[HTML][HTML] Advancing nuclear safety

E Zio - Frontiers in Nuclear Engineering, 2024 - frontiersin.org
With a specific focus on nuclear facilities related to energy production, the present paper
aims at providing perspectives on a number of issues and topics of safety, which are …