Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김종경 | - |
dc.date.accessioned | 2017-04-26T08:07:33Z | - |
dc.date.available | 2017-04-26T08:07:33Z | - |
dc.date.issued | 2015-08 | - |
dc.identifier.citation | NUCLEAR ENGINEERING AND TECHNOLOGY, v. 47, NO 5, Page. 546-558 | en_US |
dc.identifier.issn | 1738-5733 | - |
dc.identifier.uri | http://www.sciencedirect.com/science/article/pii/S1738573315001114 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/26986 | - |
dc.description.abstract | Chord length sampling method in Monte Carlo simulations is a method used to model spherical particles with random sampling technique in a stochastic media. It has received attention due to the high calculation efficiency as well as user convenience; however, a technical issue regarding boundary effect has been noted. In this study, after analyzing the distribution characteristics of spherical particles using an explicit method, an alternative chord length sampling method is proposed. In addition, for modeling in finite media, a correction method of the boundary effect is proposed. Using the proposed method, sample probability distributions and relative errors were estimated and compared with those calculated by the explicit method. The results show that the reconstruction ability and modeling accuracy of the particle probability distribution with the proposed method were considerably high. Also, from the local packing fraction results, the proposed method can successfully solve the boundary effect problem. It is expected that the proposed method can contribute to the increasing of the modeling accuracy in stochastic media. Copyright (C) 2015, Published by Elsevier Korea LLC on behalf of Korean Nuclear Society. | en_US |
dc.description.sponsorship | This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP; 2012M2A8A2025679), the Energy Efficiency & Resources of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by Korea government Ministry of Knowledge Economy (20121620100070), and the Innovative Technology Center for Radiation Safety (iTRS). | en_US |
dc.language.iso | en | en_US |
dc.publisher | KOREAN NUCLEAR SOC | en_US |
dc.subject | Boundary effect | en_US |
dc.subject | Chord length sampling | en_US |
dc.subject | Monte Carlo | en_US |
dc.subject | Spherical particle sampling | en_US |
dc.subject | Stochastic media | en_US |
dc.title | A PROPOSAL ON ALTERNATIVE SAMPLING-BASED MODELING METHOD OF SPHERICAL PARTICLES IN STOCHASTIC MEDIA FOR MONTE CARLO SIMULATION | en_US |
dc.type | Article | en_US |
dc.relation.no | 5 | - |
dc.relation.volume | 47 | - |
dc.identifier.doi | 10.1016/j.net.2015.03.005 | - |
dc.relation.page | 546-558 | - |
dc.relation.journal | NUCLEAR ENGINEERING AND TECHNOLOGY | - |
dc.contributor.googleauthor | Kim, Song Hyun | - |
dc.contributor.googleauthor | Lee, Jae Yong | - |
dc.contributor.googleauthor | Kim, Do Hyun | - |
dc.contributor.googleauthor | Kim, Jong Kyung | - |
dc.contributor.googleauthor | Noh, Jae Man | - |
dc.relation.code | 2015013068 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF NUCLEAR ENGINEERING | - |
dc.identifier.pid | jkkim1 | - |
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