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Sohn, Dong-Seong
Innovative Nuclear FUEL (INFUEL)
Research Interests
  • Nuclear fuel design
  • Nuclear fuel
  • Nuclear system
  • Performance analysis


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

DC Field Value Language Jeong, Gwan Yoon ko Kim, Yeon Soo ko Jeong, Young Jin ko Park, Jong Man ko Sohn, Dong-Seong ko 2018-03-29T08:38:44Z - 2018-03-27 ko 2018-04 ko
dc.identifier.citation JOURNAL OF NUCLEAR MATERIALS, v.502, pp.331 - 348 ko
dc.identifier.issn 0022-3115 ko
dc.identifier.uri -
dc.description.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. ko
dc.language 영어 ko
dc.publisher ELSEVIER SCIENCE BV ko
dc.title Development of PRIME for irradiation performance analysis of U-Mo/Al dispersion fuel ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-85042685012 ko
dc.identifier.wosid 000427676700038 ko
dc.type.rims ART ko
dc.identifier.doi 10.1016/j.jnucmat.2018.02.028 ko
dc.identifier.url ko
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