| JOURNAL OF COMPUTATIONAL PHYSICS | 卷:386 |
| Hessian recovery based finite element methods for the Cahn-Hilliard equation | |
| Article | |
| Xu, Minqiang1  Guo, Hailong2  Zou, Qingsong3  | |
| [1] Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510275, Guangdong, Peoples R China | |
| [2] Univ Melbourne, Sch Math & Stat, Parkville, Vic 3010, Australia | |
| [3] Sun Yat Sen Univ, Sch Data & Comp Sci & Guangdong Prov, Key Lab Computat Sci, Guangzhou 510275, Guangdong, Peoples R China | |
| 关键词: Hessian recovery; Cahn-Hilliard equation; Phase separation; Recovery based; Superconvergence; Linear finite element; | |
| DOI : 10.1016/j.jcp.2019.01.056 | |
| 来源: Elsevier | |
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【 摘 要 】
In this paper, we propose several novel recovery based finite element methods for the 2D Cahn-Hilliard equation. One distinguishing feature of those methods is that we discretize the fourth-order differential operator in a standard C-0 linear finite elements space. Precisely, we first transform the fourth-order Cahn-Hilliard equation to its variational formulation in which only first-order and second-order derivatives are involved and then we compute the first and second-order derivatives of a linear finite element function by a least-squares fitting recovery procedure. When the underlying mesh is uniform meshes of regular pattern, our recovery scheme for the Laplacian operator coincides with the well-known five-point stencil. Another feature of the methods is some special treatments on Neumann type boundary conditions for reducing computational cost. The optimal-order convergence and energy stability are numerically proved through a series of benchmark tests. The proposed method can be regarded as a combination of the finite difference scheme and the finite element scheme. (C) 2019 Elsevier Inc. All rights reserved.
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| 10_1016_j_jcp_2019_01_056.pdf | 3634KB |
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