dc.citation.conferencePlace |
KO |
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dc.citation.title |
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2017 |
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dc.contributor.author |
Lee, Hyunsuk |
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dc.contributor.author |
Kim, Wonkyeong |
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dc.contributor.author |
Zhang, Peng |
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dc.contributor.author |
Khassenov, Azamat |
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dc.contributor.author |
Park, Jinsu |
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dc.contributor.author |
Yu, Jiankai |
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dc.contributor.author |
Choi, Sooyoung |
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dc.contributor.author |
Lee, Hwan Soo |
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dc.contributor.author |
Lee, Deokjung |
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dc.date.accessioned |
2023-12-19T19:09:45Z |
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dc.date.available |
2023-12-19T19:09:45Z |
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dc.date.created |
2017-07-05 |
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dc.date.issued |
2017-04-16 |
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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. |
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dc.identifier.bibliographicCitation |
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2017 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/39567 |
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dc.language |
영어 |
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dc.publisher |
American Nuclear Society |
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dc.title |
Preliminary Simulation Results of BEAVRS Three-dimensional Cycle 1 Wholecore Depletion by UNIST Monte Carlo Code MCS |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2017-04-16 |
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