On the use of local maximum entropy approximants for Cahn-Hilliard phase-field models in 2D domains and on surfaces

被引:15
作者
Amiri, Fatemeh [1 ]
Ziaei-Rad, Saeed [1 ]
Valizadeh, Navid [2 ]
Rabczuk, Timon [3 ]
机构
[1] Isfahan Univ Technol, Dept Mech Engn, Esfahan 8415683111, Iran
[2] Bauhaus Univ Weimar, Inst Struct Mech, D-99423 Weimar, Germany
[3] King Saud Univ, Dept Comp Engn, Coll Comp & Informat Sci, Riyadh, Saudi Arabia
关键词
Local maximum entropy; Phase-field models; Cahn-Hilliard equation; Nonlinear manifold learning method; Dimensionality reduction methods; PARTIAL-DIFFERENTIAL-EQUATIONS; ISOGEOMETRIC ANALYSIS; BOUNDARY-CONDITIONS; FINITE-ELEMENTS; SEAMLESS BRIDGE; MESHFREE METHOD; TUMOR-GROWTH; INTERPOLANTS; FRACTURE; SCHEME;
D O I
10.1016/j.cma.2018.11.023
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We apply a local maximum entropy (LME) approximation scheme to the fourth order phase-field model for the traditional Cahn-Hilliard theory. The discretization of the Cahn-Hilliard equation by Galerkin method requires at least C-1 -continuous basis functions. This requirement can be fulfilled by using LME shape functions which are C-infinity -continuous. In this case, the primal variational formulations of the fourth-order partial differential equation are well defined and integrable. Hence, there is no need to split the fourth-order partial differential equation into two second-order partial differential equations; this splitting scheme is a common practice in mixed finite element formulations with C-0 -continuous Lagrange shape functions. Furthermore, we use a general and simple numerical method such as statistical manifold learning technique that allows dealing with general point set surfaces avoiding a global parameterization, which can be applied to tackle surfaces of complex geometry and topology, and to solve Cahn-Hilliard equation on general surfaces. Finally, the flexibility and robustness of the presented methodology is demonstrated for several representative numerical examples. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 24
页数:24
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