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Lee, Deokjung
Computational Reactor physics & Experiment Lab.
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dc.citation.conferencePlace KO -
dc.citation.title International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2017 -
dc.contributor.author Lee, Hyunsuk -
dc.contributor.author Kim, Wonkyeong -
dc.contributor.author Zhang, Peng -
dc.contributor.author Khassenov, Azamat -
dc.contributor.author Park, Jinsu -
dc.contributor.author Yu, Jiankai -
dc.contributor.author Choi, Sooyoung -
dc.contributor.author Lee, Hwan Soo -
dc.contributor.author Lee, Deokjung -
dc.date.accessioned 2023-12-19T19:09:45Z -
dc.date.available 2023-12-19T19:09:45Z -
dc.date.created 2017-07-05 -
dc.date.issued 2017-04-16 -
dc.description.abstract This paper presents the preliminary solutions of BEAVRS cycle 1 depletion by Monte Carlo (MC) code MCS developed at Ulsan National Institute of Science and Technology (UNIST). The simulation was performed with five feedback modules required for power reactor simulation: Thermal-Hydraulics (TH), depletion, equilibrium xenon, Critical Boron Concentration (CBC) and On-The-Fly (OTF) cross-section reconstruction. The CBC and radial detector signal map were compared with the reference data in BEAVRS 2.0 document. The power, flux, fuel temperature and coolant temperature distributions are presented. The CBC and detector signals are compared with measured data. It is shown that MCS can estimate the CBC with a maximum deviation of 100 ppm, and that MCS can calculate detector signals accurately with 2-5% RMS error. -
dc.identifier.bibliographicCitation International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2017 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/39567 -
dc.language 영어 -
dc.publisher American Nuclear Society -
dc.title Preliminary Simulation Results of BEAVRS Three-dimensional Cycle 1 Wholecore Depletion by UNIST Monte Carlo Code MCS -
dc.type Conference Paper -
dc.date.conferenceDate 2017-04-16 -

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