AI-Assisted Forecasting of a Mitigated Multiple Steam Generator Tube Rupture Scenario in a Typical Nuclear Power Plant
This study is focused on developing a machine learning (ML) meta-model to predict the progression of a multiple steam generator tube rupture (MSGTR) accident in the APR1400 reactor. The accident was simulated using the thermal–hydraulic code RELAP5/SCDAPSIM/MOD3.4. The model incorporates a mitigatio...
Saved in:
Main Authors: | Sonia Spisak, Aya Diab |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/18/2/250 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An optimization approach for improving steam production of heat recovery steam generator
by: Awsan Mohammed, et al.
Published: (2025-01-01) -
No evidence tube entrapment distresses rodents in typical empathy tests
by: Dwi Atmoko Agung Nugroho, et al.
Published: (2024-04-01) -
THE DETECTION OF THE NECESSARY CONDITIONS OF EFFECTIVE FUNCTIONING OF THE BALL CLEANING SYSTEM OF THE TUBES OF STEAM TURBINE CONDENSERS. Part 1
by: A. G. Gerasimova, et al.
Published: (2017-03-01) -
Understanding why degrowth is absent from mitigation scenarios
by: Béatrice Cointe, et al.
Published: (2023-12-01) -
Analysis of the Effectiveness of Variants of the Exhaust Compartment of a Steam Turbine
by: V. G. Solodov, et al.
Published: (2020-08-01)