[HTML][HTML] Using machine learning to forecast and assess the uncertainty in the response of a typical PWR undergoing a steam generator tube rupture accident
TCH Nguyen, A Diab - Nuclear Engineering and Technology, 2023 - Elsevier
In this work, a multivariate time-series machine learning meta-model is developed to predict
the transient response of a typical nuclear power plant (NPP) undergoing a steam generator …
the transient response of a typical nuclear power plant (NPP) undergoing a steam generator …
Using artificial intelligence to identify the success window of FLEX strategy under an extended station blackout
S Alketbi, A Diab - Nuclear Engineering and Design, 2021 - Elsevier
The vulnerability of operational nuclear power plants (NPPs) to an extended station blackout
(SBO) was revealed after the Fukushima Dai-ichi accident, which led to the development …
(SBO) was revealed after the Fukushima Dai-ichi accident, which led to the development …
Dynamic Seismic Probabilistic Risk Assessment of Nuclear Power Plants
B Kasapoglu - 2024 - search.proquest.com
The history of probabilistic risk assessment (PRA) in the nuclear industry goes back to the
1960s. Traditional PRA procedures use the fixed event tree/fault tree approach and only …
1960s. Traditional PRA procedures use the fixed event tree/fault tree approach and only …
[HTML][HTML] Impact of choice of fragility approaches on seismic risk quantification of nuclear power plants
Abstract Development and evaluation of seismic fragility of structures and components is
crucial in seismic probabilistic risk assessment of nuclear power plants. Simulation-based …
crucial in seismic probabilistic risk assessment of nuclear power plants. Simulation-based …
A Systems Engineering Approach to Predict the Success Window of FLEX Strategy under Extended SBO Using Artificial Intelligence
SO Alketbi, A Diab - Journal of the Korean Society of Systems …, 2020 - koreascience.kr
Abstract On March 11, 2011, an earthquake followed by a tsunami caused an extended
station blackout (SBO) at the Fukushima Dai-ichi NPP Units. The accident was initiated by a …
station blackout (SBO) at the Fukushima Dai-ichi NPP Units. The accident was initiated by a …
A SE approach to predict the peak cladding temperature using artificial neural network
OS ALAtawneh, A Diab - Journal of the Korean Society of Systems …, 2020 - koreascience.kr
Traditionally nuclear thermal hydraulic and nuclear safety has relied on numerical
simulations to predict the system response of a nuclear power plant either under normal …
simulations to predict the system response of a nuclear power plant either under normal …
[PDF][PDF] Peak Cladding Temperature Prediction using Deep Learning
OS Al-Atawneh, A Diab - … of the Korean …, 2020 - journal-home.s3.ap-northeast-2 …
Traditionally nuclear thermal hydraulics and nuclear safety relied on numerical simulations
to predict the system response of a nuclear power plant either under normal operation or …
to predict the system response of a nuclear power plant either under normal operation or …
[PDF][PDF] Identification of Flex Strategy Success Window for Extended SBO using BEPU and AI
SO Alketbi, A Diab - academia.edu
The Fukushima accident was initiated by an earthquake followed by a Tsunami which
resulted in a Station Blackout (SBO) for an extended period of time due to the devastation …
resulted in a Station Blackout (SBO) for an extended period of time due to the devastation …