基于最小二乘的线性源特征线方法研究

Research on Linear Source MOC Based on Least Square

  • 摘要: 特征线方法一般采用平源近似来求解,平源近似需要大量较小的网格才能获得精确的结果,从而会消耗较多内存,影响计算效率。相比平源近似,线性源可在网格较少的情况下得到较精确的数值结果。本文提出一种基于最小二乘的线性源特征线方法,并通过计算压水堆栅元及C5G7基准题等算例,对该方法进行了分析。数值结果表明,基于最小二乘的线性源特征线方法能在网格较少的情况下提供稳定、精确的数值结果。

     

    Abstract: The method of characteristics (MOC) is usually solved with flat source approximation, which requires a large number of smaller meshes to obtain accurate results, which will consume more memory and affect the calculation efficiency. Compared with the flat source approximation, the linear source approximation can get more precise numerical results with fewer meshes. In this paper, a linear source MOC based on least square was proposed and analyzed by calculating pressurized water reactor (PWR) cell and C5G7 benchmark. The numerical results indicate that the linear source MOC based on least square can contribute stable and accurate numerical results with fewer meshes.

     

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