Diagnosis and prediction for loss of coolant accidents in nuclear power plants using deep learning methods

J She, T Shi, S Xue, Y Zhu, S Lu, P Sun… - Frontiers in Energy …, 2021 - frontiersin.org
A combination of Convolutional Neural Network (CNN), Long-Short Term Memory (LSTM),
and Convolutional LSTM (ConvLSTM) is constructed in this work for the fault diagnosis and …

Enhancing Resilience through Nuclear Emergency Preparedness at El Dabaa Site

W Saleh, J Kim - Science and Technology of Nuclear …, 2024 - Wiley Online Library
The research utilized advanced PCTRAN and RASCAL software to evaluate the potential
radiological impacts of hypothetical accidents, specifically loss‐of‐coolant accident (LOCA) …

Analysis of thermal-hydraulics parameters during steam generator tube rupture event of VVER-1200 NPP Using PCTRAN simulator

MM Hossen - Applications of Modelling and Simulation, 2022 - arqiipubl.com
The overall performance of steam generators plays a significant role in ensuring the safety of
a nuclear power plant (NPP) operation. The analysis of thermal-hydraulic parameters during …

Analysis of Steam Line Break Accident Using PCTRAN Model of VVER-1200 NPP

MM Hossen, M Khalaquzzaman… - Applications of Modelling …, 2023 - arqiipubl.com
The investigation of thermal-hydraulic parameters during steam-line break (SLB) accidents
is performed by applying the personal computer transient analyzer (PCTRAN) simulator …

[PDF][PDF] Study on Severe Accidents of the New Generation WWER-1200 Reactor

AA Bagheri, B Zohuri - … Research. SRC/JMSMR-145. DOI: doi. org …, 2022 - researchgate.net
As the safety of new generation reactors regarding conditions of radioactive material
leakage into the environment greatly attracted the attention of engineers and scientists in the …