A modified Crank-Nicolson finite difference method preserving maximum-principle for the phase-field model

被引:6
作者
Song, Zhengyuan [1 ]
Li, Dingqi [2 ]
Wang, Dongmei [2 ]
Li, Huanrong [3 ,4 ]
机构
[1] Chongqing Technol & Business Univ, Sch Phys Educ, Chongqing 400067, Peoples R China
[2] Chongqing Technol & Business Univ, Sch Math & Stat, Chongqing 400067, Peoples R China
[3] Yunnan Normal Univ, Sch Math, Kunming 650500, YN, Peoples R China
[4] Yunnan Normal Univ, Yunnan Key Lab Modern Analyt Math & Applicat, Kunming 650500, YN, Peoples R China
关键词
Phase-field model; Modified finite difference; Crank-Nicolson; Error estimate; Numerical examples; ALLEN-CAHN EQUATION; NUMERICAL-ANALYSIS; ERROR ANALYSIS; STABILITY; ELEMENT; APPROXIMATIONS; SCHEMES;
D O I
10.1016/j.jmaa.2023.127271
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we mainly study a new Crank-Nicolson finite difference (FD) method with a large time step for solving the nonlinear phase-field model with a small parameter disturbance. To this end, we first introduce an artificial stability term to build a modified Crank-Nicolson FD (MCNFD) scheme, and then prove that the MCNFD scheme satisfies the intrinsic maximum principle of the phase-field model. Secondly, we discuss that the MCNFD scheme satisfies the intrinsic energy stability of the phase-field model, and obtain the optimal error estimation of the MCNFD solution based on the conclusion of the discrete maximum principle. Finally, two numerical examples of one-dimensional and two-dimensional phase-field models are given to verify that the solution of the MCNFD scheme satisfies the above theoretical results.(c) 2023 Elsevier Inc. All rights reserved.
引用
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页数:15
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