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Title: Development of PRIME for irradiation performance analysis of U-Mo/Al dispersion fuel

Abstract

A prediction code for the thermo-mechanical performance of research reactor fuel (PRIME) has been developed with the implementation of developed models to analyze the irradiation behavior of U-Mo dispersion fuel. The code is capable of predicting the two-dimensional thermal and mechanical performance of U-Mo dispersion fuel during irradiation. A finite element method was employed to solve the governing equations for thermal and mechanical equilibria. Temperature-and burnup-dependent material properties of the fuel meat constituents and cladding were used. The numerical solution schemes in PRIME were verified by benchmarking solutions obtained using a commercial finite element analysis program (ABAQUS).The code was validated using irradiation data from RERTR, HAMP-1, and E-FUTURE tests. The measured irradiation data used in the validation were IL thickness, volume fractions of fuel meat constituents for the thermal analysis, and profiles of the plate thickness changes and fuel meat swelling for the mechanical analysis. The prediction results were in good agreement with the measurement data for both thermal and mechanical analyses, confirming the validity of the code. (c) 2018 Elsevier B.V. All rights reserved.

Authors:
ORCiD logo; ; ; ; ORCiD logo
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Research Foundation of Korea (NRF)
OSTI Identifier:
1434326
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article
Journal Name:
Journal of Nuclear Materials
Additional Journal Information:
Journal Volume: 502; Journal Issue: C; Journal ID: ISSN 0022-3115
Publisher:
Elsevier
Country of Publication:
United States
Language:
English

Citation Formats

Jeong, Gwan Yoon, Kim, Yeon Soo, Jeong, Yong Jin, Park, Jong Man, and Sohn, Dong-Seong. Development of PRIME for irradiation performance analysis of U-Mo/Al dispersion fuel. United States: N. p., 2018. Web. doi:10.1016/j.jnucmat.2018.02.028.
Jeong, Gwan Yoon, Kim, Yeon Soo, Jeong, Yong Jin, Park, Jong Man, & Sohn, Dong-Seong. Development of PRIME for irradiation performance analysis of U-Mo/Al dispersion fuel. United States. doi:10.1016/j.jnucmat.2018.02.028.
Jeong, Gwan Yoon, Kim, Yeon Soo, Jeong, Yong Jin, Park, Jong Man, and Sohn, Dong-Seong. Sun . "Development of PRIME for irradiation performance analysis of U-Mo/Al dispersion fuel". United States. doi:10.1016/j.jnucmat.2018.02.028.
@article{osti_1434326,
title = {Development of PRIME for irradiation performance analysis of U-Mo/Al dispersion fuel},
author = {Jeong, Gwan Yoon and Kim, Yeon Soo and Jeong, Yong Jin and Park, Jong Man and Sohn, Dong-Seong},
abstractNote = {A prediction code for the thermo-mechanical performance of research reactor fuel (PRIME) has been developed with the implementation of developed models to analyze the irradiation behavior of U-Mo dispersion fuel. The code is capable of predicting the two-dimensional thermal and mechanical performance of U-Mo dispersion fuel during irradiation. A finite element method was employed to solve the governing equations for thermal and mechanical equilibria. Temperature-and burnup-dependent material properties of the fuel meat constituents and cladding were used. The numerical solution schemes in PRIME were verified by benchmarking solutions obtained using a commercial finite element analysis program (ABAQUS).The code was validated using irradiation data from RERTR, HAMP-1, and E-FUTURE tests. The measured irradiation data used in the validation were IL thickness, volume fractions of fuel meat constituents for the thermal analysis, and profiles of the plate thickness changes and fuel meat swelling for the mechanical analysis. The prediction results were in good agreement with the measurement data for both thermal and mechanical analyses, confirming the validity of the code. (c) 2018 Elsevier B.V. All rights reserved.},
doi = {10.1016/j.jnucmat.2018.02.028},
journal = {Journal of Nuclear Materials},
issn = {0022-3115},
number = C,
volume = 502,
place = {United States},
year = {2018},
month = {4}
}