Linear relaxation schemes for the Allen-Cahn-type and Cahn-Hilliard-type phase field models

被引:18
作者
Jiang, Maosheng [1 ]
Zhao, Jia [2 ]
机构
[1] Qingdao Univ, Sch Math & Stat, Qingdao 266071, Peoples R China
[2] Utah State Univ, Dept Math & Stat, Logan, UT 84322 USA
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Energy stable; Phase field models; Gradient flow system; Linear relaxation technique;
D O I
10.1016/j.aml.2022.108477
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This letter introduces novel linear relaxation schemes for solving the phase field models, particularly the Allen-Cahn (AC) type and Cahn-Hilliard (CH) type equations. The proposed schemes differ from existing schemes for the phase field models in the literature. The resulting semi-discrete schemes are linear by discretizing the AC and CH models on staggered time meshes. Only a linear algebra problem needs to be solved at each time marching step after the spatial discretization. Furthermore, our proposed schemes are shown to be unconditionally energy stable, i.e., the numerical solutions respect energy dissipation laws without restriction on the time steps. Several numerical examples are provided to illustrate the power of the proposed linear relaxation schemes for solving phase field models. (c) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页数:7
相关论文
共 10 条
[1]   A relaxation scheme for the nonlinear Schrodinger equation [J].
Besse, C .
SIAM JOURNAL ON NUMERICAL ANALYSIS, 2004, 42 (03) :934-952
[2]   Regularized linear schemes for the molecular beam epitaxy model with slope selection [J].
Chen, Lizhen ;
Zhao, Jia ;
Yang, Xiaofeng .
APPLIED NUMERICAL MATHEMATICS, 2018, 128 :139-156
[3]   High Accuracy Benchmark Problems for Allen-Cahn and Cahn-Hilliard Dynamics [J].
Church, Jon Matteo ;
Guo, Zhenlin ;
Jimack, Peter K. ;
Madzvamuse, Anotida ;
Promislow, Keith ;
Wetton, Brian ;
Wise, Steven M. ;
Yang, Fengwei .
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2019, 26 (04) :947-972
[4]   Energy-stable Runge-Kutta schemes for gradient flow models using the energy quadratization approach [J].
Gong, Yuezheng ;
Zhao, Jia .
APPLIED MATHEMATICS LETTERS, 2019, 94 :224-231
[5]   Improving the accuracy and consistency of the scalar auxiliary variable (SAV) method with relaxation [J].
Jiang, Maosheng ;
Zhang, Zengyan ;
Zhao, Jia .
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 456
[6]  
Shen J., 2020, CONTEMP MATH, V754, P217, DOI DOI 10.1090/CONM/754/15147
[7]   The scalar auxiliary variable (SAV) approach for gradient flows [J].
Shen, Jie ;
Xu, Jie ;
Yang, Jiang .
JOURNAL OF COMPUTATIONAL PHYSICS, 2018, 353 :407-416
[8]   Numerical approximations for the molecular beam epitaxial growth model based on the invariant energy quadratization method [J].
Yang, Xiaofeng ;
Zhao, Jia ;
Wang, Qi .
JOURNAL OF COMPUTATIONAL PHYSICS, 2017, 333 :104-127
[9]   Linear, first and second-order, unconditionally energy stable numerical schemes for the phase field model of homopolymer blends [J].
Yang, Xiaofeng .
JOURNAL OF COMPUTATIONAL PHYSICS, 2016, 327 :294-316
[10]   A revisit of the energy quadratization method with a relaxation technique [J].
Zhao, Jia .
APPLIED MATHEMATICS LETTERS, 2021, 120