Allen-Cahn方程的SAV有限差分法数值逼近

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS International Journal of Modeling Simulation and Scientific Computing Pub Date : 2022-11-19 DOI:10.1142/s1793962324500016
Han Chen, Langyang Huang, Qingqu Zhuang, Zhifeng Weng
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引用次数: 0

摘要

本文采用二阶标量辅助变量法结合有限差分法求解二元混合物中反相域粗化现象模型的Allen-Cahn方程。在时间上采用二阶后向微分公式。在[公式:见文]-范数意义下推导了半离散格式的误差估计。通过二维和三维的数值模拟,验证了该方法的准确性和有效性。
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Numerical approximation of SAV finite difference method for the Allen–Cahn equation
In this paper, the second-order scalar auxiliary variable approach combined with finite difference method is employed for the Allen–Cahn equation that represents a phenomenological model for antiphase domain coarsening in a binary mixture. The second-order backward differentiation formula is used in time. The error estimation of the semi-discrete scheme is derived in the sense of [Formula: see text]-norm. Several numerical simulations in 2D and 3D are demonstrated to verify the accuracy and efficiency of the proposed scheme.
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