Abstract
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 C1-continuous basis functions. This requirement can be fulfilled by using LME shape functions which are C∞-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 C0-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.
| Original language | English |
|---|---|
| Pages (from-to) | 1-24 |
| Number of pages | 24 |
| Journal | Computer Methods in Applied Mechanics and Engineering |
| Volume | 346 |
| DOIs | |
| Publication status | Published - 2019 Apr 1 |
Fingerprint
Keywords
- Cahn–Hilliard equation
- Dimensionality reduction methods
- Local maximum entropy
- Nonlinear manifold learning method
- Phase-field models
ASJC Scopus subject areas
- Computational Mechanics
- Mechanics of Materials
- Mechanical Engineering
- Physics and Astronomy(all)
- Computer Science Applications
Cite this
On the use of local maximum entropy approximants for Cahn–Hilliard phase-field models in 2D domains and on surfaces. / Amiri, Fatemeh; Ziaei-Rad, Saeed; Valizadeh, Navid; Rabczuk, Timon.
In: Computer Methods in Applied Mechanics and Engineering, Vol. 346, 01.04.2019, p. 1-24.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - On the use of local maximum entropy approximants for Cahn–Hilliard phase-field models in 2D domains and on surfaces
AU - Amiri, Fatemeh
AU - Ziaei-Rad, Saeed
AU - Valizadeh, Navid
AU - Rabczuk, Timon
PY - 2019/4/1
Y1 - 2019/4/1
N2 - 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 C1-continuous basis functions. This requirement can be fulfilled by using LME shape functions which are C∞-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 C0-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.
AB - 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 C1-continuous basis functions. This requirement can be fulfilled by using LME shape functions which are C∞-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 C0-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.
KW - Cahn–Hilliard equation
KW - Dimensionality reduction methods
KW - Local maximum entropy
KW - Nonlinear manifold learning method
KW - Phase-field models
UR - http://www.scopus.com/inward/record.url?scp=85058373531&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058373531&partnerID=8YFLogxK
U2 - 10.1016/j.cma.2018.11.023
DO - 10.1016/j.cma.2018.11.023
M3 - Article
AN - SCOPUS:85058373531
VL - 346
SP - 1
EP - 24
JO - Computer Methods in Applied Mechanics and Engineering
JF - Computer Methods in Applied Mechanics and Engineering
SN - 0045-7825
ER -