Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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A PROPOSAL ON ALTERNATIVE SAMPLING-BASED MODELING METHOD OF SPHERICAL PARTICLES IN STOCHASTIC MEDIA FOR MONTE CARLO SIMULATION

  • KIM, SONG HYUN (Department of Nuclear Engineering, Hanyang University) ;
  • LEE, JAE YONG (Department of Nuclear Engineering, Hanyang University) ;
  • KIM, DO HYUN (Department of Nuclear Engineering, Hanyang University) ;
  • KIM, JONG KYUNG (Department of Nuclear Engineering, Hanyang University) ;
  • NOH, JAE MAN (Korea Atomic Energy Research Institute)
  • Received : 2014.10.02
  • Accepted : 2015.03.01
  • Published : 2015.10.25
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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.

Keywords

Acknowledgement

Supported by : National Research Foundation of Korea (NRF), Korea Institute of Energy Technology Evaluation and Planning (KETEP)

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