SAV Fourier-spectral method for diffuse-interface tumor-growth model

被引:7
作者
Shen, Xiaoqin [1 ]
Wu, Lixiao [1 ]
Wen, Juan [1 ]
Zhang, Juan [2 ]
机构
[1] Xian Univ Technol, Sch Sci, Xian 710054, Peoples R China
[2] Beijing Normal Univ, Sch Math Sci, Beijing 100875, Peoples R China
基金
中国国家自然科学基金;
关键词
Key words tumor-growth model; SAV approach; Semi-implicit; Fourier-spectral method; CAHN-HILLIARD; ENERGY; SCHEMES; SIMULATION; EFFICIENT;
D O I
10.1016/j.camwa.2022.09.031
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The tumor-growth model, proposed by Oden et al., is a coupling system with high nonlinearity for the surface effects of the diffusion interface. In this paper, scalar auxiliary variable (SAV) method is introduced to handle nonlinear term in gradient flow. At the same time, semi-implicit difference scheme is adopted to discretize the time variable. To approximate the spatial variable, Fourier-spectral method for the first time is employed for the tumor-growth model whose merit is that high precision solution can be obtained without handling too many terms. Generally speaking, an efficient and robust energy stabilization scheme is constructed. It inherits the properties of energy dissipation and mass conservation related to continuous problems. The validity of our proposed numerical scheme is demonstrated by conducting some numerical experiments.
引用
收藏
页码:250 / 259
页数:10
相关论文
共 26 条
[1]   On the closure of mass balance models for tumor growth [J].
Ambrosi, D ;
Preziosi, L .
MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 2002, 12 (05) :737-754
[2]  
Byrne H, 2003, MATH MED BIOL, V20, P341
[3]   FREE ENERGY OF A NONUNIFORM SYSTEM .3. NUCLEATION IN A 2-COMPONENT INCOMPRESSIBLE FLUID [J].
CAHN, JW ;
HILLIARD, JE .
JOURNAL OF CHEMICAL PHYSICS, 1959, 31 (03) :688-699
[4]   Applications of semi-implicit Fourier-spectral method to phase field equations [J].
Chen, LQ ;
Shen, J .
COMPUTER PHYSICS COMMUNICATIONS, 1998, 108 (2-3) :147-158
[5]   Generalized SAV approaches for gradient systems [J].
Cheng, Qing ;
Liu, Chun ;
Shen, Jie .
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2021, 394 (394)
[6]  
Cristini V., 2010, MULTISCALE MODELING
[7]   Nonlinear simulations of solid tumor growth using a mixture model: invasion and branching [J].
Cristini, Vittorio ;
Li, Xiangrong ;
Lowengrub, John S. ;
Wise, Steven M. .
JOURNAL OF MATHEMATICAL BIOLOGY, 2009, 58 (4-5) :723-763
[8]   Comparison between two meshless methods based on collocation technique for the numerical solution of four-species tumor growth model [J].
Dehghan, Mehdi ;
Mohammadi, Vahid .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2017, 44 :204-219
[9]   Generalized Ginzburg-Landau and Cahn-Hilliard equations based on a microforce balance [J].
Gurtin, ME .
PHYSICA D-NONLINEAR PHENOMENA, 1996, 92 (3-4) :178-192
[10]   Numerical simulation of a thermodynamically consistent four-species tumor growth model [J].
Hawkins-Daarud, Andrea ;
van der Zee, Kristoffer G. ;
Oden, J. Tinsley .
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING, 2012, 28 (01) :3-24