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Volume 45 Issue S2
Jan.  2025
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Shen Pengfei, Wang Kan, Liu Zhaoyuan, Liang Jingang, Liu Shichang. Extended Development and Application of CAD-based Transport in RMC[J]. Nuclear Power Engineering, 2024, 45(S2): 55-62. doi: 10.13832/j.jnpe.2024.S2.0055
Citation: Shen Pengfei, Wang Kan, Liu Zhaoyuan, Liang Jingang, Liu Shichang. Extended Development and Application of CAD-based Transport in RMC[J]. Nuclear Power Engineering, 2024, 45(S2): 55-62. doi: 10.13832/j.jnpe.2024.S2.0055

Extended Development and Application of CAD-based Transport in RMC

doi: 10.13832/j.jnpe.2024.S2.0055
  • Received Date: 2024-07-24
  • Rev Recd Date: 2024-09-11
  • Publish Date: 2025-01-06
  • To enhance the capability of CAD-based transport in RMC, and provide a new calculation method for the CAD-based geometry transport modeling in Monte Carlo (MC) for new numerical reactors, in this study, firstly, an open-source meshing kernel is employed to process CAD models, realizing an autonomous CAD-based transport method throughout the entire process in the Monte Carlo code RMC. Subsequently, a hybrid geometric transport framework combining CAD and CSG geometry is developed, which improves the efficiency of geometric processing and Monte Carlo transport. The correctness of the autonomous CAD geometric processing method and the hybrid geometric transport method is verified through numerical calculations of fuel spheres, VERA-3A fuel assembly and other models. Compared with the existing CAD geometric modeling transportation methods, the hybrid geometric modeling transportation method has significantly improved the geometric processing time and the efficiency of Monte Carlo calculation. Therefore, the enhanced CAD-based transport method in RMC developed in this study can be used for neutron transport analysis calculations of new numerical reactors.

     

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  • [1]
    WILSON P P H, TAUTGES T J, KRAFTCHECK J A, et al. Acceleration techniques for the direct use of CAD-based geometry in fusion neutronics analysis[J]. Fusion Engineering and Design, 2010, 85(10-12): 1759-1765. doi: 10.1016/j.fusengdes.2010.05.030
    [2]
    DAVIS A, BARZILLA J, FERRARI A, et al. FluDAG: a CAD based tool for high energy physics[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2019, 915: 65-74.
    [3]
    SHEN P F, LIANG J G, LIU S C, et al. Implementation and verification of the DAGMC module in Monte Carlo code RMC[C]//Proceedings of the 29th International Conference on Nuclear Engineering, Shenzhen: 2022.
    [4]
    SHRIWISE P C, ZHANG X K, DAVIS A. DAG-OpenMC: CAD-based geometry in OpenMC[J]. Transactions of the American Nuclear Society, 2020, 122(1): 395-398.
    [5]
    HAN M C, KIM C H, JEONG J H, et al. DagSolid: a new Geant4 solid class for fast simulation in polygon-mesh geometry[J]. Physics in Medicine & Biology, 2013, 58(13): 4595-4609.
    [6]
    MARTZ R L. The MCNP6 book on unstructured mesh geometry: user's guide for MCNP 6.2. 1: LA-UR-18-27630[R]. Los Alamos: Los Alamos National Laboratory, 2018.
    [7]
    SHU H L, CAO L Z, HE Q M, et al. Study on unstructured mesh-based Monte Carlo/deterministic coupled particle transport calculation method[J]. Nuclear Science and Engineering, 2024, 198(11): 2209-2229. doi: 10.1080/00295639.2023.2295065
    [8]
    LEPPÄNEN J. CAD-based geometry type in serpent 2 - application in fusion neutronics[C]//Proceedings of the Mathematics and Computation, Supercomputing in Nuclear Applications and Monte Carlo International Conference. Nashville: Curran Associates Inc. , 2015: 19-23.
    [9]
    SHRIWISE P. DAGMC CAD-based geometry as universes[EB/OL]. (2021-04-28)[2024-07-10]. https://github.com/openmc-dev/openmc/pull/1825.
    [10]
    LEPPÄNEN J. Methodology, applications and performance of the CAD-based geometry type in the serpent 2 Monte Carlo code[J]. Annals of Nuclear Energy, 2022, 176: 109259. doi: 10.1016/j.anucene.2022.109259
    [11]
    BIONDO E, DAVIDSON G, ADE B. Layered CAD/CSG geometry for spatially complex radiation transport scenarios[J]. Annals of Nuclear Energy, 2023, 181: 109569. doi: 10.1016/j.anucene.2022.109569
    [12]
    WANG K, LI Z G, SHE D, et al. RMC – a Monte Carlo code for reactor core analysis[J]. Annals of Nuclear Energy, 2015, 82: 121-129. doi: 10.1016/j.anucene.2014.08.048
    [13]
    TAUTGES T J, ERNST C, STIMPSON C, et al. MOAB: a mesh-oriented database[R]. Livermore, California, USA: Sandia National Laboratories, 2004.
    [14]
    GEUZAINE C, REMACLE J F. Gmsh: a 3-D finite element mesh generator with built-in pre- and post-processing facilities[J]. International Journal for Numerical Methods in Engineering, 2009, 79(11): 1309-1331. doi: 10.1002/nme.2579
    [15]
    GODFREY A T. Vera core physics benchmark progression problem specifications, revision 4: CASL-U-2012-0131-004[R]. Pittsburgh, Pennsylvania, United States: Westinghouse Electric Corporation, 2014.
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