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Nodal integral expansion method for one-dimensional time-dependent linear convection-diffusion equation

机译:一维时变线性对流扩散方程的节点积分展开法

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摘要

A nodal integral expansion method (NIEM) is developed as a new nodal approach and it is applied to the one-dimensional time-dependent linear convection-diffusion equation. The distinguishing feature of the new nodal scheme is to expand transverse-integrated physical quantities as well as pseudo-source terms into Legendre polynomials within a calculation node. The space-averaged physical quantity is expanded up to the first order, and the time-averaged one is expanded up to the third order, while all the pseudo-source terms are approximated to a constant. The distribution of the transverse-averaged physical quantities over a node is finally obtained by determining the expansion coefficients from the transverse-averaged ordinary differential equations, the continuity conditions of the transverse-averaged physical quantities and their derivatives, and other constraint equations. Calculations for sample problems are carried out to test the effectiveness of the scheme, and it is observed that the NIEM scheme has capability to yield highly accurate solutions and to track the evolution of the physical quantities very well. In addition, it can be reasonably concluded that the accuracy of the NIEM is comparable on the whole to the existing nodal method of the modified nodal integral method (MNIM).
机译:节点积分展开法(NIEM)作为一种新的节点方法被开发出来,并被应用于一维时间相关的线性对流扩散方程。新节点方案的显着特征是将横向积分物理量以及伪源项扩展为计算节点内的勒让德多项式。将空间平均的物理量扩展到一阶,将时间平均的物理量扩展到三阶,而所有伪源项都近似为一个常数。通过从横向平均的常微分方程,横向平均的物理量及其导数的连续性条件以及其他约束方程确定膨胀系数,最终获得横向平均物理量在节点上的分布。进行了样本问题的计算,以测试该方案的有效性,并且可以观察到NIEM方案具有生成高度精确的解决方案并很好地跟踪物理量演变的能力。此外,可以合理地得出结论,NIEM的准确性总体上可与改进节点积分方法(MNIM)的现有节点方法相媲美。

著录项

  • 来源
    《Nuclear Engineering and Design》 |2011年第3期|p.767-774|共8页
  • 作者

    Kyu Bok Lee;

  • 作者单位

    KEPCO E&C, 257 Yonggudaero. Giheung-gu, Yongin-si, Gyeonggi-do. Republic of Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 00:44:30

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