Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jung-Uk Sohn"'
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 12, Pp 4607-4616 (2023)
We implement machine learning regression models to predict peak pressures of primary and secondary systems, a major safety concern in Loss Of Condenser Vacuum (LOCV) accident. We selected the Multi-dimensional Analysis of Reactor Safety-KINS standard
Externí odkaz:
https://doaj.org/article/9e19faadf3af4fbfa92690e9c580a3a9
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 5, Pp 1533-1540 (2023)
Self-Powered Neutron Detectors(SPNDs) are used to calculate core power distributions, an essential factor in the safe operation of nuclear power plants. Some detectors may fail during normal operation, and signals from failed detectors are isolated f
Externí odkaz:
https://doaj.org/article/71e38bfd030f409fa36647c71c358ac5
Publikováno v:
Nuclear Engineering and Technology, Vol 54, Iss 5, Pp 1698-1711 (2022)
A combined safety approach, which uses a best-estimate computer code and adopts conservative assumptions for safety systems availability, is developed and applied to the safety margin evaluation for the Loss of Condenser Vacuum (LOCV) of the 1000 MWe
Externí odkaz:
https://doaj.org/article/018dc3eb22034c42a1b961308cc4c694
Publikováno v:
Nuclear Engineering and Technology. 54:1698-1711
A combined safety approach, which uses a best-estimate computer code and adopts conservative assumptions for safety systems availability, is developed and applied to the safety margin evaluation for the Loss of Condenser Vacuum (LOCV) of the 1000 MWe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a53409f9d5699cd4ab4b8a1426b05e1
https://doi.org/10.1016/j.net.2021.11.006
https://doi.org/10.1016/j.net.2021.11.006