基于辐射场梯度变化的变权重网格划分方法

Mesh generation method with variable weights based on gradient changes in a radiation field

三维辐射场数据是进行剂量评估与优化的基础,为了更好地解决辐射场数据的快速计算与三维可视化显示的难题,该文基于辐射场梯度变化提出了一种变权重的非均匀网格划分方法,可根据辐射场的梯度变化划分出疏密程度不同的三维计算网格,兼顾辐射场数据的计算精度与计算效率,并使用点核积分程序对该网格划分方法进行了计算验证。结果表明,在计算精度几乎相同时,变权重的非均匀网格划分方法能够有效地缩短辐射场的计算时间,较大程度地提高点核积分方法的计算效率,同时该网格划分方法也表现出更好的辐射场显示效果。该研究可为点核积分方法在核设施三维辐射场可视化计算与剂量评估方面的应用提供技术支持。

3-D radiation field data is used for dose evaluations and design optimization.This paper presents a mesh generation method that uses variable weights based on gradient changes in a radiation field to improve the calculational speed and 3-D visualizations of the radiation field.The 3-D mesh has different densities that are arranged based on the radiation field gradients to balance the computational accuracy and efficiency.The point kernel integral method was used to verify the method.The results show that this non-uniform mesh generation method with variable weights effectively shortens the computing time for the point kernel integral method results.This method also provides better visualization of the radiation field.Thus,this study reduces the calculational time for the point kernel integral problem and gives better results for visualization and dose assessments of 3-D radiation fields in nuclear facilities.