特征线方向概率方法与性能分析模型研究

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Method of Characteristics Direction Probabilities and Its Accuracy and Performance Models

1. School of Nuclear Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China;
2. Nuclear Engineering and Radiological Science, University of Michigan, 48109, USA

摘要: 为了进一步提高特征线方向概率方法(CDP)的计算效率,提出了一种角度相关的边界均匀化方法。提出CDP性能分析模型,显性地比较分析特征线方法(MOC)和CDP的计算效率。数值结果表明,所提模型正确,并显示出CDP在计算效率方面的优势。
- 特征线方法 /
- 特征线方向概率方法 /
- 边界均匀化
Abstract: The method of characteristics direction probabilities combines the geometry flexibility of the method of characteristics and the computing efficiency of the collision probability method. An angular depended boundary averaging is proposed to further improve the efficiency. After that, an accuracy model for the boundary angular flux is introduced which would be used to find the best boundary averaging method. And then, a performance model which explicitly compares the performance of the method of characteristics probabilities to the method of characteristics is given. The numerical results show that model given is correct and the method of characteristics direction probabilities gets great benefits.
- MOC /
- CDP /
- Boundary average