High Power Laser and Particle Beams, Volume. 35, Issue 3, 036001(2023)

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

Lanjun Kuang1,3, Tao Yu1,3、*, Huajian Zhang1,3, Aikou Sun1,3, Zhenping Chen1,3, Bo Tan2, Bin Gan2, and Fucai Chen2
Author Affiliations
  • 1School of Nuclear Science and Technology, University of South China, Hengyang 421001, China
  • 2Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610213, China
  • 3Hunan Engineering & Technology Research Center for Virtual Nuclear Reactor, Hengyang 421001, China
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    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.

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    Lanjun Kuang, Tao Yu, Huajian Zhang, Aikou Sun, Zhenping Chen, Bo Tan, Bin Gan, Fucai Chen. CAD-based inversion visualization of monte Carlo Computational model based on SALOME[J]. High Power Laser and Particle Beams, 2023, 35(3): 036001

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    Paper Information

    Category: Nuclear Science and Engineering

    Received: Jul. 8, 2022

    Accepted: Dec. 5, 2022

    Published Online: Mar. 9, 2023

    The Author Email: Yu Tao (yutao29@sina.com)

    DOI:10.11884/HPLPB202335.220276

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