A rapid modeling method for monte-carlo particle transport simulation based on TIN under complex terrain
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摘要: 提出了一种基于不规则三角网的复杂地形蒙特卡罗粒子输运快速建模方法，用于解决高分辨率下对复杂地形场景进行自适应高效蒙特卡罗（MC）建模的技术问题。具体为：首先，读取高分辨率的栅格形式的地形高程数据，并根据地形起伏变化的程度对高程点进行二维小波变换，用以精准定位地形突变并获得重要高程点集；然后，采用Delaunay 三角剖分方法对离散点集构造不规则三角网，得到TIN结构的地形数据；最后，采用MCNP程序的“任意多面体”宏体定义方式建立各种几何平面，并通过布尔运算构建复杂几何实体，从而实现了在高分辨率复杂地形场景下的MC粒子输运快速自动建模。测试结果表明，本文给出的建模方法能够精确还原复杂地形对核辐射的影响，在压缩栅元数目且提升建模计算效率的同时，获得了高保真的模拟结果。本文的研究适用于面向任一大规模复杂地形场景的MC粒子输运建模，是复杂地形影响下强辐射场建模计算的新方法。Abstract:
Background The traditional Monte-Carlo (MC) method faces an inherent trade-off between geometric modeling accuracy and computational efficiency when addressing real-world irregular terrain modeling.Purpose This paper proposes a fast MC particle transport modeling method based on irregular triangular networks for complex terrains, addressing the technical challenge of achieving adaptive and efficient MC modeling under high-resolution complex terrain scenarios.Methods The methodology consists of three key phases: First, high-resolution raster-format terrain elevation data are processed through two-dimensional wavelet transformation to precisely identify abrupt terrain variations and extract significant elevation points. Subsequently, the Delaunay triangulation algorithm is employed to construct TIN-structured terrain models from discrete point sets. Finally, the MCNP code's "arbitrary polyhedron" macrobody definition is leveraged to establish geometric planes, with Boolean operations applied to synthesize intricate geometric entities, thereby realizing rapid automated MC modeling for high-resolution complex terrains.Results Results demonstrate that the proposed method accurately reproduces terrain-induced effects on radiation transport, achieving high-fidelity simulations while significantly compressing the number of cells and enhancing computational efficiency.Conclusions This methodology represents a novel approach for large-scale radiation field modeling under complex terrain constraints, demonstrating broad applicability to MC particle transport simulations in arbitrary large-scale complex terrain scenarios.-
Key words:
- TIN structure /
- complex terrain /
- Monte-Carlo /
- modeling method
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图 3 典型复杂地形场景MC建模结果
Figure 3. MC modeling results for typical complex terrain scenarios
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