多孔介质方程的两种有限元方法,既保证正向性,又保证能量稳定

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-08-06 DOI:10.1007/s10915-024-02642-x
Arjun Vijaywargiya, Guosheng Fu
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引用次数: 0

摘要

在这项工作中,我们提出了两种不同的有限元方法来求解多孔介质方程(PME)。在第一种方法中,我们将多孔介质方程转换为对数密度变量公式,并构建了一种连续 Galerkin 方法。在第二种方法中,我们引入了额外的势变量和速度变量,将多孔介质方程改写为方程组,并构建了混合有限元方法。这两种方法都具有一阶精度和质量保证,并证明在各自的能量条件下都具有无条件的能量稳定性。混合方法在 CFL 条件下保持了正向性,而对数密度方法则证明了更强的无条件约束保持特性。我们方案的一个新特点是,它们可以处理紧凑支持的初始数据,而无需任何扰动技术。此外,对数密度方法可以处理任意维数的非结构网格,而混合方法可以处理两维的非结构网格。我们展示了几个数值实验的结果,以证明这些特性。
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Two Finite Element Approaches for the Porous Medium Equation That Are Positivity Preserving and Energy Stable

In this work, we present the construction of two distinct finite element approaches to solve the porous medium equation (PME). In the first approach, we transform the PME to a log-density variable formulation and construct a continuous Galerkin method. In the second approach, we introduce additional potential and velocity variables to rewrite the PME into a system of equations, for which we construct a mixed finite element method. Both approaches are first-order accurate, mass conserving, and proved to be unconditionally energy stable for their respective energies. The mixed approach is shown to preserve positivity under a CFL condition, while a much stronger property of unconditional bound preservation is proved for the log-density approach. A novel feature of our schemes is that they can handle compactly supported initial data without the need for any perturbation techniques. Furthermore, the log-density method can handle unstructured grids in any number of dimensions, while the mixed method can handle unstructured grids in two dimensions. We present results from several numerical experiments to demonstrate these properties.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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