Decoupled, Energy Stable Numerical Scheme for the Cahn-Hilliard-Hele-Shaw System with Logarithmic Flory-Huggins Potential

被引:4
|
作者
Jia, Hong-En [1 ]
Guo, Ya-Yu [1 ]
Li, Ming [1 ]
Huang, Yun-Qing [2 ,3 ]
Feng, Guo-Rui [4 ]
机构
[1] Taiyuan Univ Technol, Coll Math, Taiyuan 030024, Peoples R China
[2] Xiangtan Univ, Hunan Key Lab Computat & Simulat Sci & Engn, Xiangtan, Peoples R China
[3] Xiangtan Univ, Sch Math & Computat Sci, Xiangtan, Peoples R China
[4] Taiyuan Univ Technol, Coll Min Engn, Taiyuan 030024, Peoples R China
关键词
Logarithmic potential; Cahn-Hilliard-Hele-Shaw; decoupling; FINITE-ELEMENT-METHOD; DISCONTINUOUS GALERKIN METHOD; PHASE FIELD MODEL; 2ND-ORDER; EQUATION; APPROXIMATION; CONVERGENCE; RECONNECTION; SIMULATION; PINCHOFF;
D O I
10.4208/cicp.OA-2019-0034
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In this paper, a decoupling numerical method for solving Cahn-HilliardHele-Shaw system with logarithmic potential is proposed. Combing with a convexsplitting of the energy functional, the discretization of the Cahn-Hilliard equation in time is presented. The nonlinear term in Cahn-Hilliard equation is decoupled from the pressure gradient by using a fractional step method. Therefore, to update the pressure, we just need to solve a Possion equation at each time step by using an incremental pressure-correction technique for the pressure gradient in Darcy equation. For logarithmic potential, we use the regularization procedure, which make the domain for the regularized functional F(phi) is extended from ( -1,1) to ( -infinity, infinity). Further, the stability and the error estimate of the proposed method are proved. Finally, a series of numerical experiments are implemented to illustrate the theoretical analysis.
引用
收藏
页码:1053 / 1075
页数:23
相关论文
共 50 条
  • [31] A Positivity Preserving, Energy Stable Finite Difference Scheme for the Flory-Huggins-Cahn-Hilliard-Navier-Stokes System
    Wenbin Chen
    Jianyu Jing
    Cheng Wang
    Xiaoming Wang
    Journal of Scientific Computing, 2022, 92
  • [32] A POSITIVITY-PRESERVING, ENERGY STABLE AND CONVERGENT NUMERICAL SCHEME FOR THE CAHN-HILLIARD EQUATION WITH A FLORY-HUGGINS-DEGENNES ENERGY
    Dong, Lixiu
    Wang, Cheng
    Zhang, Hui
    Zhang, Zhengru
    COMMUNICATIONS IN MATHEMATICAL SCIENCES, 2019, 17 (04) : 921 - 939
  • [33] Efficient Structure-Preserving Scheme for the Space Fractional Allen-Cahn Equation with Logarithmic Flory-Huggins Potential
    Zhang, Biao
    Yang, Yin
    JOURNAL OF SCIENTIFIC COMPUTING, 2025, 103 (01)
  • [34] Error analysis of the SAV Fourier-spectral method for the Cahn-Hilliard-Hele-Shaw system
    Zheng, Nan
    Li, Xiaoli
    ADVANCES IN COMPUTATIONAL MATHEMATICS, 2021, 47 (05)
  • [35] Error analysis of the SAV Fourier-spectral method for the Cahn-Hilliard-Hele-Shaw system
    Nan Zheng
    Xiaoli Li
    Advances in Computational Mathematics, 2021, 47
  • [36] An efficient two-grid method for the Cahn-Hilliard equation with the concentration-dependent mobility and the logarithmic Flory-Huggins bulk potential
    Jia, Hongen
    Li, Yang
    Feng, Guorui
    Li, Kaitai
    APPLIED MATHEMATICS AND COMPUTATION, 2020, 387 (387)
  • [37] An efficient fully-discrete local discontinuous Galerkin method for the Cahn-Hilliard-Hele-Shaw system
    Guo, Ruihan
    Xia, Yinhua
    Xu, Yan
    JOURNAL OF COMPUTATIONAL PHYSICS, 2014, 264 : 23 - 40
  • [38] Convergence analysis of a second order numerical scheme for the Flory-Huggins-Cahn-Hilliard-Navier-Stokes system
    Chen, Wenbin
    Jing, Jianyu
    Liu, Qianqian
    Wang, Cheng
    Wang, Xiaoming
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2024, 450
  • [39] A Second Order Accurate in Time, Energy Stable Finite Element Scheme for the Flory-Huggins-Cahn-Hilliard Equation
    Yuan, Maoqin
    Chen, Wenbin
    Wang, Cheng
    Wise, Steven M.
    Zhang, Zhengru
    ADVANCES IN APPLIED MATHEMATICS AND MECHANICS, 2022, 14 (06) : 1477 - 1508
  • [40] A stable second-order BDF scheme for the three-dimensional Cahn–Hilliard–Hele–Shaw system
    Yibao Li
    Qian Yu
    Weiwei Fang
    Binhu Xia
    Junseok Kim
    Advances in Computational Mathematics, 2021, 47