A stabilized trace FEM for surface Cahn–Hilliard equations: analysis and simulations

IF 2.6 3区 数学 Q2 MATHEMATICS, APPLIED
Deepika Garg, Maxim Olshanskii
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引用次数: 0

Abstract

This paper addresses the analysis and numerical assessment of a computational method for solving the Cahn–Hilliard equation defined on a surface. The proposed approach combines the stabilized trace finite element method for spatial discretization with an implicit–explicit scheme for temporal discretization. The method belongs to a class of unfitted finite element methods that use a fixed background mesh and a level-set function for implicit surface representation. We establish the numerical stability of the discrete problem by showing a suitable energy dissipation law for it. We further derive optimal-order error estimates assuming simplicial background meshes and finite element spaces of order \(m \ge 1\). The effectiveness of the method is demonstrated through numerical experiments on several two-dimensional closed surfaces, confirming the theoretical results and illustrating the robustness and convergence properties of the scheme.

表面Cahn-Hilliard方程的稳定轨迹有限元分析与仿真
本文讨论了求解曲面上定义的Cahn-Hilliard方程的一种计算方法的分析和数值评价。该方法将空间离散化的稳定轨迹有限元法与时间离散化的显式格式相结合。该方法属于一类使用固定背景网格和水平集函数进行隐式曲面表示的非拟合有限元方法。通过给出一个合适的能量耗散规律,建立了离散问题的数值稳定性。我们进一步推导了最优阶误差估计,假设简单背景网格和阶为\(m \ge 1\)的有限元空间。在多个二维封闭曲面上的数值实验验证了该方法的有效性,验证了理论结果,并说明了该方案的鲁棒性和收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.00
自引率
5.90%
发文量
68
审稿时长
3 months
期刊介绍: Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis. This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.
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