基于CSG的堆芯蒙特卡罗输运模型可视化转换技术研究
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摘要
为了提高堆芯蒙特卡罗精细输运计算模型(简称MC计算模型)的三维可视化分析效率,在充分调研目前MC计算模型三维可视化工具发展现状的基础上,通过对不同类型几何模型的特点,以及构造实体几何(CSG)模型的描述方法进行分析,提出了一种堆芯精细MC计算模型的自动三维可视化转换方法,并对可视化转换过程涉及到的CSG模型到边界描述(BREP)模型转换、BREP模型网格离散和CSG模型转换效率优化等关键技术进行了深入研究。测试结果表明,提出的MC计算模型自动三维可视化方法在功能和效率方面均能满足工程使用需求。
In order to improve the efficiency of 3 D visualization analysis of the core Monte Carlo fine transport calculation model(MC calculation model), on the basis of fully investigating the current development status of the MC calculation model 3 D visualization tools, and by analyzing the characteristics of different types of geometric models and the description methods of constructive solid geometry(CSG) models, this paper proposed an automatic 3 D visualization converting method for the core fine MC calculation model, and conducted a deep study on the key technologies such as the conversion from CSG model to boundary representation(BREP) model, the mesh discretization of BREP model and the optimization of conversion efficiency for CSG model. The test results show that the proposed method can meet the engineering requirements in terms of function and efficiency.
In order to improve the efficiency of 3 D visualization analysis of the core Monte Carlo fine transport calculation model(MC calculation model), on the basis of fully investigating the current development status of the MC calculation model 3 D visualization tools, and by analyzing the characteristics of different types of geometric models and the description methods of constructive solid geometry(CSG) models, this paper proposed an automatic 3 D visualization converting method for the core fine MC calculation model, and conducted a deep study on the key technologies such as the conversion from CSG model to boundary representation(BREP) model, the mesh discretization of BREP model and the optimization of conversion efficiency for CSG model. The test results show that the proposed method can meet the engineering requirements in terms of function and efficiency.
引文
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[3]王鑫.实体模型边界表示向构造实体几何表示转换方法研究[D].北京:清华大学,2013.
[4]K Wang,Z Li,D She,et al.RMC-A Monte Carlo code for reactor core analysis[J].Annals of Nuclear Energy,2015,82:121-129.
[5]武晓波,王世新,肖春生.Delaunay三角网的生成算法研究[J].测绘学报,1999,28(1):28-35.