基于辐射场梯度变化的变权重网格划分方法

何良; 李华; 赵原; 刘立业; 曹勤剑; 李君利

doi:10.16511/j.cnki.qhdxxb.2019.21.026

PDF(2570 KB)

清华大学学报（自然科学版） ›› 2019, Vol. 59 ›› Issue (10) : 861-865. DOI: 10.16511/j.cnki.qhdxxb.2019.21.026

物理与工程物理

基于辐射场梯度变化的变权重网格划分方法

何良^1,2, 李华¹, 赵原¹, 刘立业¹, 曹勤剑¹, 李君利²

作者信息 +

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

HE Liang^1,2, LI Hua¹, ZHAO Yuan¹, LIU Liye¹, CAO Qinjian¹, LI Junli²

Author information +

文章历史 +

摘要

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。

Abstract

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.

导出引用

何良, 李华, 赵原, 刘立业, 曹勤剑, 李君利. 基于辐射场梯度变化的变权重网格划分方法[J]. 清华大学学报（自然科学版）. 2019, 59(10): 861-865 https://doi.org/10.16511/j.cnki.qhdxxb.2019.21.026

HE Liang, LI Hua, ZHAO Yuan, LIU Liye, CAO Qinjian, LI Junli. Mesh generation method with variable weights based on gradient changes in a radiation field[J]. Journal of Tsinghua University(Science and Technology). 2019, 59(10): 861-865 https://doi.org/10.16511/j.cnki.qhdxxb.2019.21.026

参考文献

[1] IAEA. International status and prospects for nuclear power 2017[R/OL]. (2017-07-28)[2019-01-10]. https://www-legacy.iaea.org/About/Policy/GC/GC61/GC61InfDocuments/English/gc61inf-8_en.pdf
[2] 王丹. 解读"十三五"发展规划,助力核电发展[J]. 中国核电, 2017(2):157-160.WANG D. Interpretation of the 13th five-year development plan in support of nuclear power development[J]. China Nuclear Power, 2017(2):157-160. (in Chinese)
[3] 刘华. 辐射防护最优化方法及其应用[J]. 核安全, 2007(2):1-6.LIU H. Optimization methods of radiation protection and its application[J]. Nuclear Safety, 2007(2):1-6. (in Chinese)
[4] 潘志强. 辐射安全手册[M]. 北京:科学出版社, 2011.PAN Z Q. Radiation safety manual[M]. Beijing:Science Press, 2011. (in Chinese)
[5] SAUNDERS P, RAHON T, QUINN D, et al. Demonstration of advanced 3-D ALARA planning prototypes for dose reduction[R]. California:Electric Power Research Institute (EPRI), 2012.
[6] MóL A C A, PEREIRA C M N A, FREITAS V G G, et al. Radiation dose rate map interpolation in nuclear plants using neural networks and virtual reality techniques[J]. Annals of Nuclear Energy, 2011, 38(2-3):705-712.
[7] YUKIHARU O, MITSUKO F, KIYOTAKA S, et al. A System for the calculation and visualisation of radiation field for maintenance support in nuclear power plants[J]. Radiation Protection Dosimetry, 2005, 116(1-4):592-596.
[8] VERMEERSCH F. ALARA pre-job studies using the VISIPLAN 3D ALARA planning tool[J]. Radiation Protection Dosimetry, 2005, 115(1-4):294-297.
[9] 戴波, 张永领, 周斌,等. 反应堆退役仿真技术研究方案[J]. 核动力工程, 2013, 34(3):168-171.DAI B, ZHANG Y L, ZHOU B, et al. Study scheme of reactor decommissioning simulation technology[J]. Nuclear Power Engineering, 2013, 34(3):168-171. (in Chinese)
[10] 张永领, 胡一非, 刘猛,等. 反应堆退役三维辐射场实时计算及可视化[J]. 辐射防护, 2018(1):19-25.ZHANG Y L, HU Y F, LIU M, et al. Real-time computation and visualization of 3-D radiation field for nuclear reactor decommissioning scene[J]. Radiation Protection, 2018(1):19-25. (in Chinese)
[11] 唐邵华, 吕炜枫, 刘杰,等. 核电站三维剂量场评价系统的开发及应用[J]. 辐射防护, 2017, 37(5):347-354.TANG S H, LV W F, LIU J, et al. Development and application of 3-D dose rate field evaluation system[J]. Radiation Protection, 2017, 37(5):347-354. (in Chinese)
[12] 李春槐, 张立吾. 几何空间装配法在点核积分计算中的应用[J]. 核动力工程, 1988(5):42-52.LI C K, ZHANG L W. Application of geometry space configuration method in point-kernel integral calculation[J]. Nuclear Power Engineering, 1988(5):42-52. (in Chinese)
[13] 李华, 赵原, 刘立业等. 基于MCNP对γ射线吸收剂量累积因子的计算与研究[J]. 辐射防护, 2017, 37(3):161-168.LI H, ZHAO Y, LIU L Y, et al. Research on gamma ray buildup factor for energy absorption based on MCNP[J]. Radiation Protection, 2017, 37(3):161-168. (in Chinese)
[14] 李华, 赵原, 刘立业等. 介质尺寸对水中γ射线吸收剂量累积因子的影响[J]. 清华大学学报(自然科学版), 2017, 57(5):525-529.LI H, ZHAO Y, LIU L Y, et al. Effect of medium size on the γ-ray buildup factor for energy absorption in water[J]. Journal of Tsinghua University(Science and Technology), 2017, 57(5):525-529. (in Chinese)

基金

国家自然科学基金资助项目（11305146，11675151）

PDF(2570 KB)

Accesses

Citation

Detail

段落导航

收稿日期	出版日期
2019-03-13	2019-10-15
发布日期
2019-10-14

选择文件类型/文献管理软件名称

选择包含的内容

摘要

Abstract

关键词

Key words

引用本文

{{custom_sec.title}}

{{custom_sec.title}}

参考文献

基金

访问统计

模态框（Modal）标题

选择文件类型/文献管理软件名称

选择包含的内容

摘要

Abstract

关键词

Key words

引用本文

{{custom_sec.title}}

{{custom_sec.title}}

参考文献

基金

访问统计