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The CADIS-DXTRAN method in NECP-MCX for Radiation Shielding Simulations

  • Xi'an Jiaotong University

科研成果: 期刊稿件会议文章同行评审

摘要

This paper discusses the implementation of the Consistent Adjoint-Driven Importance Sampling-Deterministic Transport (CADIS-DXTRAN) method in NECP-MCX to speed up Monte Carlo simulations for neutron radiation shielding applications. It provides a brief theoretical overview of the CADIS-DXTRAN method and describes the coding process in NECP-MCX. The study compares the performance of the CADIS-DXTRAN method with the CADIS method and the DXTRAN method in a labyrinth problem and a channel shielding problem. The results of the labyrinth problem reveal that the CADIS-DXTRAN method is highly efficient with a Figure of Merit (FOM) value 45 times that of DXTRAN and 17 times that of the CADIS method. While there is no significant improvement of the CADIS-DXTRAN method in the channel shielding problem. The particle behavior in the two problems is analyzed in detail to explain the performance of the CADIS-DXTRAN method.

源语言英语
文章编号09004
期刊EPJ Web of Conferences
302
DOI
出版状态已出版 - 15 10月 2024
活动2024 Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo, SNA + MC 2024 - Paris, 法国
期限: 20 10月 202424 10月 2024

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