泊松-能斯特-普朗克方程的基于物理的稳定有限元近似

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Jesús Bonilla , Juan Vicente Gutiérrez-Santacreu
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引用次数: 0

摘要

本文提出并分析了两种稳定的有限元数值求解泊松-能-普朗克方程的方法。我们考虑的稳定是通过对离子方程使用冲击检测器和离散图拉普拉斯算子来实现的,而电势的离散方程则不需要稳定。源自第一种算法的离散解同时保留了最大和最小离散原则。对于第二种算法,它的离散解被设想为保持离散原则并服从熵定律,前提是对网格施加了一个尖锐条件。值得注意的是,后者被发现是无条件稳定的。我们通过瞬态数值实验验证了我们的方法,该方法显示了向稳态解的收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Physics-based stabilized finite element approximations of the Poisson–Nernst–Planck equations
We present and analyze two stabilized finite element methods for solving numerically the Poisson–Nernst–Planck equations. The stabilization we consider is carried out by using a shock detector and a discrete graph Laplacian operator for the ion equations, whereas the discrete equation for the electric potential need not be stabilized. Discrete solutions stemmed from the first algorithm preserve both maximum and minimum discrete principles. For the second algorithm, its discrete solutions are conceived so that they hold discrete principles and obey an entropy law provided that an acuteness condition is imposed for meshes. Remarkably the latter is found to be unconditionally stable. We validate our methodology through transient numerical experiments that show convergence toward steady-state solutions.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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