Journal of Computational and Applied Mathematics2022,Vol.40115.DOI:10.1016/j.cam.2021.113778

First- and second-order unconditionally stable direct discretization methods for multi-component Cahn-Hilliard system on surfaces

Liu, Rui Li, Yibao Xia, Qing He, Chenxi Li, Zhong
Journal of Computational and Applied Mathematics2022,Vol.40115.DOI:10.1016/j.cam.2021.113778

First- and second-order unconditionally stable direct discretization methods for multi-component Cahn-Hilliard system on surfaces

Liu, Rui 1Li, Yibao 1Xia, Qing 1He, Chenxi 1Li, Zhong1
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作者信息

  • 1. Xi An Jiao Tong Univ
  • 折叠

Abstract

This paper proposes a first- and second-order unconditionally stable direct discretization method based on a surface mesh consisting of piecewise triangles and its dual-surface polygonal tessellation for solving the N-component Cahn-Hilliard system. We define the discretizations of the gradient, divergence, and Laplace-Beltrami operators on triangle surfaces. We prove that the proposed schemes, which combine a linearly stabilized splitting scheme, are unconditionally energy-stable. We also prove that our method satisfies the mass conservation. The proposed scheme is solved by the biconjugate gradient stabilized (BiCGSTAB) method, which can be straightforwardly applied to GPU-accelerated biconjugate gradient stabilized implementation by using the Matlab Parallel Computing Toolbox. Several numerical experiments are performed and confirm the accuracy, stability, and efficiency of our proposed algorithm. (C) 2021 Elsevier B.V. All rights reserved.

Key words

Cahn-Hilliard equation/Laplace-Beltrami operator/Triangular surface mesh/Unconditionally energy-stable/Mass conservation/DISCRETE CONSERVATION-LAWS/FINITE-DIFFERENCE SCHEME/PHASE-SEPARATION/TUMOR-GROWTH/MESH GENERATOR/EQUATION/MODEL/SIMULATION/EFFICIENT/ENERGY

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量20
参考文献量53
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