Volume 35 Issue 3
Mar.  2023
Turn off MathJax
Article Contents
Kuang Lanjun, Yu Tao, Zhang Huajian, et al. CAD-based inversion visualization of monte Carlo Computational model based on SALOME[J]. High Power Laser and Particle Beams, 2023, 35: 036001. doi: 10.11884/HPLPB202335.220276
Citation: Kuang Lanjun, Yu Tao, Zhang Huajian, et al. CAD-based inversion visualization of monte Carlo Computational model based on SALOME[J]. High Power Laser and Particle Beams, 2023, 35: 036001. doi: 10.11884/HPLPB202335.220276

CAD-based inversion visualization of monte Carlo Computational model based on SALOME

doi: 10.11884/HPLPB202335.220276
  • Received Date: 2022-07-08
  • Accepted Date: 2022-12-05
  • Rev Recd Date: 2022-12-05
  • Available Online: 2022-12-03
  • Publish Date: 2023-03-01
  • In this paper, based on the SALOME platform, Open CASCADE works as the geometric modeling engine and adopts the idea of replacing a surface with an entity and Cell hierarchical multinomial tree structure to carry out the research on the Inversion of the computing model and 3D visualization method. Based on this method of this paper, the inversion visualization program module SALOME-MC is developed, and the module can realize the functions of Monte Carlo computational model geometric modeling, material modeling, and model 3D visualization. Three typical reactor models were selected to test and validate the method and procedure, the test results show that the method and program can properly handle the complex geometry and large-scale repeated structure of the Monte Carlo calculation model, and accurately realize the CAD three-dimensional inversion visualization of the Monte Carlo calculation model, which proves the correctness and reliability of the inversion ability and visualization effect of the SALOME-MC Monte Carlo calculation model, and improves the geometric modeling efficiency and display degree of the Monte Carlo calculation model.
  • loading
  • [1]
    Briesmeister J F. MCNPTM—A general Monte Carlo N-particle transport code[R]. LA-13709-M, 2000.
    [2]
    Werner C J. MCNP User’s manual—code version 6.2[R]. LA-UR-17-29981, 2017.
    [3]
    Ribes A, Caremoli C. Salome platform component model for numerical simulation[C]//Proceedings of the 31st Annual International Computer Software and Applications Conference (COMPSAC 2007). 2007: 553-564.
    [4]
    Theis C, Buchegger K H, Brugger M, et al. Interactive three-dimensional visualization and creation of geometries for Monte Carlo calculations[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2006, 562(2): 827-829. doi: 10.1016/j.nima.2006.02.125
    [5]
    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
    [6]
    Wang Dong, Song Jing, Yu Shengpeng, et al. CAD-based Monte Carlo automatic modeling method based on primitive solid[J]. Annals of Nuclear Energy, 2016, 87: 162-166. doi: 10.1016/j.anucene.2015.07.041
    [7]
    Wu Yican, Song Jing, Zheng Huaqing, et al. CAD-based Monte Carlo program for integrated simulation of nuclear system SuperMC[J]. Annals of Nuclear Energy, 2015, 82: 161-168. doi: 10.1016/j.anucene.2014.08.058
    [8]
    于志翔, 邹树梁, 何震. 船用反应堆屏蔽设计的可视化与快速计算功能开发[J]. 核科学与工程, 2017, 37(4):554-559 doi: 10.3969/j.issn.0258-0918.2017.04.006

    Yu Zhixiang, Zou Shuliang, He Zhen. Visualization and rapid computing function development for marine reactor shielding design[J]. Nuclear Science and Engineering, 2017, 37(4): 554-559 doi: 10.3969/j.issn.0258-0918.2017.04.006
    [9]
    李春艳, 李君利, 程建平, 等. MCNP可视化输入程序的开发[J]. 清华大学学报(自然科学版), 2007, 47(s1):1089-1092 doi: 10.3321/j.issn:1000-0054.2007.z1.046

    Li Chunyan, Li Junli, Cheng Jianping, et al. Development of visualized input for MCNP[J]. Journal of Tsinghua University (Science & Technology), 2007, 47(s1): 1089-1092 doi: 10.3321/j.issn:1000-0054.2007.z1.046
    [10]
    汪冬, 俞盛朋, 程梦云, 等. CAD模型与Geant4几何模型双向自动转换方法研究[J]. 核电子学与探测技术, 2015, 35(7):679-683 doi: 10.3969/j.issn.0258-0934.2015.07.009

    Wang Dong, Yu Shengpeng, Cheng Mengyun, et al. The research and development of automatic bi-conversion methods between CAD model and Geant4 geometry model[J]. Nuclear Electronics & Detection Technology, 2015, 35(7): 679-683 doi: 10.3969/j.issn.0258-0934.2015.07.009
    [11]
    秦桂明, 马彦, 付元光, 等. 反应堆的大规模几何分层建模[J]. 强激光与粒子束, 2017, 29:036006 doi: 10.11884/HPLPB201729.160357

    Qin Guiming, Ma Yan, Fu Yuanguang, et al. Large-scale geometric modeling and management for reactor simulation[J]. High Power Laser and Particle Beams, 2017, 29: 036006 doi: 10.11884/HPLPB201729.160357
    [12]
    梁金刚, 葛攀和, 吴高晨, 等. 反应堆蒙特卡罗程序RMC模型可视化功能开发[J]. 原子能科学技术, 2014, 48(s1):599-603

    Liang Jingang, Ge Panhe, Wu Gaochen, et al. Development of model visualization in reactor Monte Carlo Code RMC[J]. Atomic Energy Science and Technology, 2014, 48(s1): 599-603
    [13]
    丁爱平, 李莹, 卢磊, 等. 粒子输运计算模型MCNP模型的可视化实现[J]. 原子核物理评论, 2006, 23(2):130-133 doi: 10.3969/j.issn.1007-4627.2006.02.010

    Ding Aiping, Li Ying, Lu Lei, et al. Visualizing input files of neutronics model for MCNP calculation[J]. Nuclear Physics Review, 2006, 23(2): 130-133 doi: 10.3969/j.issn.1007-4627.2006.02.010
    [14]
    赵瑛峰, 刘检华, 武林林, 等. 基于特征分解的半空间构造实体几何模型转换算法[J]. 计算机集成制造系统, 2021, 27(5):1382-1389 doi: 10.13196/j.cims.2021.05.014

    Zhao Yingfeng, Liu Jianhua, Wu Linlin, et al. Model conversion algorithm of half-space constructive solid geometry model based on feature decomposition[J]. Computer Integrated Manufacturing Systems, 2021, 27(5): 1382-1389 doi: 10.13196/j.cims.2021.05.014
    [15]
    王武, 夏虹, 李伟, 等. 基于MCNP的反应堆建模方法[J]. 应用科技, 2021, 48(4):92-97 doi: 10.11991/yykj.202010010

    Wang Wu, Xia Hong, Li Wei, et al. Reactor physical modeling method based on MCNP[J]. Applied Science and Technology, 2021, 48(4): 92-97 doi: 10.11991/yykj.202010010
    [16]
    周少恒, 何桃, 龙鹏程, 等. MCNP大规模重复结构体素的实时交互可视化方法研究[J]. 核科学与工程, 2012, 32(3):266-270 doi: 10.3969/j.issn.0258-0918.2012.03.014

    Zhou Shaoheng, He Tao, Long Pengcheng, et al. A real-time interactive visualization method of large-scale MCNP repeated structures voxels[J]. Nuclear Science and Engineering, 2012, 32(3): 266-270 doi: 10.3969/j.issn.0258-0918.2012.03.014
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(8)

    Article views (635) PDF downloads(65) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return