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刘亚, 阳莺. 一类含时Poisson-Nernst-Planck方程的虚单元计算[J]. 桂林电子科技大学学报, 2024, 44(1): 1-6. DOI: 10.16725/j.1673-808X.2021306
引用本文: 刘亚, 阳莺. 一类含时Poisson-Nernst-Planck方程的虚单元计算[J]. 桂林电子科技大学学报, 2024, 44(1): 1-6. DOI: 10.16725/j.1673-808X.2021306
LIU Ya, YANG Ying. A virtual element methods for a class of time-dependent Poisson-Nernst-Planck equations[J]. Journal of Guilin University of Electronic Technology, 2024, 44(1): 1-6. DOI: 10.16725/j.1673-808X.2021306
Citation: LIU Ya, YANG Ying. A virtual element methods for a class of time-dependent Poisson-Nernst-Planck equations[J]. Journal of Guilin University of Electronic Technology, 2024, 44(1): 1-6. DOI: 10.16725/j.1673-808X.2021306

一类含时Poisson-Nernst-Planck方程的虚单元计算

A virtual element methods for a class of time-dependent Poisson-Nernst-Planck equations

  • 摘要: 针对一类含时Poisson-Nernst-Planck(PNP)方程,为避免在解决实际问题时有限元法中的网格适应性问题,构造了L2投影算子与Gummel迭代相结合的虚单元算法。该算法允许以更简单的方式设计和分析新的格式,可以灵活处理各种网格,对于多边形或多面体单元甚至非凸单元组成的网格剖分都可以很好地处理,使得虚单元法可以适应于任意多边形网格,大大降低了网格的生成难度。给出了虚单元算法在三角形网格、四边形网格、非凸网格下的数值算例。数值实验结果表明,在这3种多边形网格上,L2H1模的收敛阶分别为二阶和一阶,均达到了最优阶。

     

    Abstract: For a class of time-dependent Poisson-Nernst-Planck(PNP) equations, in order to avoid the mesh adaptability problem in finite element method when solving practical problems, a virtual element algorithm combining L2 projection operator and Gummel iteration was proposed. This method allows new formats to be designed and analyzed in a simpler manner and flexible handling of various meshes. Virtual element method can handle polygon or polyhedron elements well, even the mesh division consisting of non-convex elements, which makes virtual element method can adapt to arbitrary polygon mesh, greatly reducing the difficulty of mesh generation. Numerical examples of virtual element algorithm under triangular mesh, quadrilateral mesh, non-convex mesh are given. Numerical experiments show that on three different grids, the convergence order of the L2 and H1 norms are second order and first order respectively, and them both reach the optimal order.

     

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