A Proposal on the Alternative Sampling-based Modeling Method of Spherical Particles in Stochastic Media for Monte Carlo Simulation
- Title
- A Proposal on the Alternative Sampling-based Modeling Method of Spherical Particles in Stochastic Media for Monte Carlo Simulation
- Author
- 김송현
- Keywords
- Boundary effect; Chord length sampling; Monte Carlo; Spherical particle sampling; Stochastic media
- Issue Date
- 2015-05
- Publisher
- KOREAN NUCLEAR SOC
- Citation
- NUCLEAR ENGINEERING AND TECHNOLOGY, Page. 1-13
- 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.
- URI
- http://hdl.handle.net/20.500.11754/24230http://www.sciencedirect.com/science/article/pii/S1738573315001114
- ISSN
- 1738-5733
- DOI
- 10.1016/j.net.2015.03.005
- Appears in Collections:
- RESEARCH INSTITUTE[S](부설연구소) > INNOVATIVE TECHNOLOGY CENTER FOR RADIATION SAFETY(방사선안전신기술연구소) > Articles
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