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dc.contributor.author김종경-
dc.date.accessioned2018-02-22T07:35:03Z-
dc.date.available2018-02-22T07:35:03Z-
dc.date.issued2012-02-
dc.identifier.citationNuclear Technology, Feb 2012, 177(2), P.147-156, 10pen_US
dc.identifier.issn0029-5450-
dc.identifier.urihttp://www.tandfonline.com/doi/abs/10.13182/NT12-A13362-
dc.description.abstractThe Dancoff factor is used in deterministic codes for the calculation of resonance absorption. In using the Monte Carlo simulation, some techniques, such as repeated structure, are commonly used for geometry modeling of pebbles and kernels. However, these methods, with some assumptions, can cause an error in the calculation of the Dancoff factor. In this study, a Monte Carlo simulation method for the evaluation of the Dancoff factor was developed to solve these problems. Random sampling and rejection techniques are used for geometry modeling of pebbles and kernels. Also, the random selection method of the pebble type is used for modeling of the fuel and moderator pebbles that are randomly mixed in the core. By using this method, the Dancoff factor was calculated, and the results were compared with the results calculated by the INTRAPEB code and the MCNP5 code. The results of the average intrapebble Dancoff factor agree well within 1% difference compared with the result of the other study that was calculated by the INTRAPEB code. The result of the average interpebble Dancoff factor was underestimated by similar to 8%, compared with the result by using the MCNP5 code. Analysis shows that the difference is caused by modeling assumptions in using the MCNP5 code. In addition, the Dancoff factor of the HTR-PRTEUS reactor and its spatial dependency were evaluated. The results show that the method can be used in the calculation of the Dancoff factor with the consideration of the spatial dependency with good accuracy. It is expected that the method can simply calculate the average Dancoff factor calculation without the direct modeling of the complex pebble bed reactor geometries. Also, the Monte Carlo simulations with various fuel-to-moderator ratios can be evaluated. Therefore, it will be a powerful method to evaluate the Dancoff factor with consideration of a real geometrical distribution for the pebble bed reactors.en_US
dc.description.sponsorshipThis work was supported in part by the Ministry of Education, Science and Technology of Korea through the Nuclear Hydrogen Development and Demonstration Project coordinated by Korea Atomic Energy Research Institute (M20406010002-05J0101-00212), the Ministry of Knowledge Economy (2008-P-EP-HM-E-06-0000), and the Innovative Technology Center for Radiation Safety.en_US
dc.language.isoenen_US
dc.publisherAmer Nuclear SOCen_US
dc.subjectDancoff factoren_US
dc.subjectpebble bed reactoren_US
dc.subjectsampling of pebble and kernelen_US
dc.titleNEW STRATEGY ON THE EVALUATION OF DANCOFF FACTOR IN A PEBBLE BED REACTOR USING MONTE CARLO METHODen_US
dc.typeArticleen_US
dc.relation.no2-
dc.relation.volume177-
dc.identifier.doi10.13182/NT12-A13362-
dc.relation.page147-156-
dc.relation.journalNUCLEAR TECHNOLOGY-
dc.contributor.googleauthorKim, Song Hyun-
dc.contributor.googleauthorKim, Hong-Chul-
dc.contributor.googleauthorKim, Jong Kyung-
dc.contributor.googleauthorNoh, Jea Man-
dc.contributor.googleauthor김송현-
dc.contributor.googleauthor김홍철-
dc.contributor.googleauthor김종경-
dc.contributor.googleauthor노재만-
dc.relation.code2012207177-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF NUCLEAR ENGINEERING-
dc.identifier.pidjkkim1-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > NUCLEAR ENGINEERING(원자력공학과) > Articles
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