Thermodynamically consistent hydrodynamic phase-field computational modeling for fluid-structure interaction with moving contact lines

被引:10
|
作者
Hong, Qi [1 ,2 ]
Gong, Yuezheng [1 ,2 ]
Zhao, Jia [3 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Sch Math, Nanjing, Peoples R China
[2] MIIT, Key Lab Math Modelling & High Performance Comp Air, Nanjing 211106, Peoples R China
[3] Utah State Univ, Dept Math & Stat, Logan, UT 84322 USA
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
Conserved Allen -Cahn; Energy; -stable; Structure -preserving algorithm; Supplementary variable method; Phase-field; ENERGY STABLE SCHEMES; CAHN-HILLIARD EQUATION; ALLEN-CAHN; FINITE-DIFFERENCE; NUMERICAL-METHOD; 2ND-ORDER; EFFICIENT; SYSTEM; TIME; SIMULATION;
D O I
10.1016/j.jcp.2023.112409
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper proposes a novel computational modeling approach to investigate the fluid -structure interactions with moving contact lines. By embracing the generalized Onsager principle, a coupled hydrodynamics and phase field system is introduced that can describe the fluid-structure interactions with moving contact lines in a thermodynamically consistent manner. The resulting partial differential equation (PDE) model consists of the Navier-Stokes equation and a nonlinear Allen-Cahn type equation. Volume conservation is enforced through an additional penalty term. A fully-discrete structure-preserving numerical scheme is proposed by combining several techniques to solve this coupled PDE system effectively and accurately. For the temporal discretization, we utilize the supplementary variable method for preserving the thermodynamic structure and the projection approach for reducing the problem size. Then, we use the finite difference method on the staggered grid for spatial discretization. Furthermore, we have rigorously proved that the proposed numerical scheme based on the second-order backward difference formula respects the original energy stability, i.e., the scheme is energy stable. Additionally, with the aid of the supplementary variable method, the resultant scheme can be transformed into a constrained optimization problem, where the solutions of the supplementary variables are the arguments of the objective function that reaches the optimality. Then the augmented Lagrangian method is introduced in part to bring robustness and efficiency to solving such a constrained optimization problem. Finally, various numerical simulations verify the model's capability and demonstrate the scheme's effectiveness, accuracy, and stability.(c) 2023 Elsevier Inc. All rights reserved.
引用
收藏
页数:21
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