用于模拟受反应-对流-扩散耦合方程系统支配的自然现象的增强型 SUPG 稳定有限元配方

Süleyman Cengizci
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引用次数: 0

摘要

自然界、科学界和工业界出现的许多现象都可以用反应-对流-扩散(RCD)方程的耦合系统来模拟。遗憾的是,通常无法获得 RCD 系统的解析解,因此通常需要使用数值方法。另一方面,由于 RCD 型方程的解可能呈现快速变化,并且可能存在边界层/内层,因此当对流主导传输过程时,经典计算工具产生的近似值会受到无物理意义振荡的污染。为此,为了在不牺牲精度的情况下消除这种数值不稳定性,本研究采用了一种稳定的有限元公式,即所谓的流线上风/Petrov-Galerkin(SUPG)方法。然后,SUPG 稳定公式还辅以 YZ$\beta$ 冲击捕捉机制,以在急剧梯度周围实现更高质量的近似。我们考虑了一系列全面的数值测试实验,包括交叉扩散系统、Schnakenberg 反应模型和贻贝-藻类相互作用,以揭示所提公式的稳健性,我们称之为 SUPG-YZ$\beta$ 公式。与已报道的研究进行比较后发现,所提出的公式在不引入过多数值耗散的情况下表现相当出色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An enhanced SUPG-stabilized finite element formulation for simulating natural phenomena governed by coupled system of reaction-convection-diffusion equations
Many phenomena arising in nature, science, and industry can be modeled by a coupled system of reaction-convection-diffusion (RCD) equations. Unfortunately, obtaining analytical solutions to RCD systems is typically not possible and, therefore, usually requires the use of numerical methods. On the other hand, since solutions to RCD-type equations can exhibit rapid changes and may have boundary/inner layers, classical computational tools yield approximations polluted with physically meaningless oscillations when convection dominates the transport process. Towards that end, in order to eliminate such numerical instabilities without sacrificing accuracy, this work employs a stabilized finite element formulation, the so-called streamline-upwind/Petrov-Galerkin (SUPG) method. The SUPG-stabilized formulation is then also supplemented with the YZ$\beta$ shock-capturing mechanism to achieve higher-quality approximations around sharp gradients. A comprehensive set of numerical test experiments, including cross-diffusion systems, the Schnakenberg reaction model, and mussel-algae interactions, is considered to reveal the robustness of the proposed formulation, which we call the SUPG-YZ$\beta$ formulation. Comparisons with reported studies reveal that the proposed formulation performs quite well without introducing excessive numerical dissipation.
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