傅立叶谱方法背景下的卡恩-希利亚德型梯度流快速隐式更新方案

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
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引用次数: 0

摘要

本研究讨论了一种方法,允许采用傅立叶谱方法对梯度流问题的相场模型进行时间离散化的快速隐式更新方案。通过 Sherman-Morrison 公式的反复应用,我们提供了相应牛顿-拉斐森方法倒切矩阵的近似规则,并可选择阶数。由于对于足够高的近似阶数来说,这种反演的表示是精确的,因此,对于需要在隐式时间积分背景下求解线性系统的梯度流问题,所提出的方案可以提供一种定点型迭代求解器。虽然所提出的方案适用于一般梯度流相场模型,但我们还是以 Cahn-Hilliard 方程、Swift-Hohenberg 方程和相场晶体方程为背景讨论了该方案,并展示了所提出的方法与经典求解器相比的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast implicit update schemes for Cahn–Hilliard-type gradient flow in the context of Fourier-spectral methods

This work discusses a way of allowing fast implicit update schemes for the temporal discretization of phase-field models for gradient flow problems that employ Fourier-spectral methods for their spatial discretization. Through the repeated application of the Sherman–Morrison formula we provide a rule for approximations of the inverted tangent matrix of the corresponding Newton–Raphson method with a selectable order. Since the representation of this inversion is exact for a sufficiently high approximation order, the proposed scheme is shown to provide a fixed-point-type iterative solver for gradient flow problems that require the solution of linear systems in the context of an implicit time-integration. While the proposed scheme is applicable to general gradient flow phase-field models, we discuss the scheme in the context of the Cahn–Hilliard equation, the Swift–Hohenberg equation, and the phase-field crystal equation for which we demonstrate the performance of the proposed method in comparison with classical solvers.

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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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