Platform development for multi-physics coupling and uncertainty analysis based on a unified framework

Autor: Guan-Hua Qian, Ren Li, Tao Yang, Xu Wang, Peng-Cheng Zhao, Ya-Nan Zhao, Tao Yu
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Nuclear Engineering and Technology, Vol 55, Iss 5, Pp 1791-1801 (2023)
Druh dokumentu: article
ISSN: 1738-5733
DOI: 10.1016/j.net.2023.02.010
Popis: The multi-physics coupled methodologies that have been widely used to analyze the complex process occurring in nuclear reactors have also been used to the R&D of numerical reactors. The advancement in the field of computer technology has helped in the development of these methodologies. Herein, we report the integration of ADPRES code and RELAP5 code into the SALOME-ICoCo framework to form a multi-physics coupling platform. The platform exploits the supervisor architecture, serial mode, mesh one-to-one correspondence and explicit coupling methods during analysis, and the uncertainty analysis tool URANIE was used. The correctness of the platform was verified through the NEACRP-L-335 benchmark. The results obtained were in accordance with the reference values. The platform could be used to accurately determine the power peak. In addition, design margins could be gained post uncertainty analysis. The initial power, inlet coolant temperature and the mass flow of assembly property significantly influence reactor safety during the rod ejections accident (REA).
Databáze: Directory of Open Access Journals