4.7 Article

An adaptive finite element Moreau-Yosida-based solver for a coupled Cahn-Hilliard/Navier-Stokes system

Journal

JOURNAL OF COMPUTATIONAL PHYSICS
Volume 235, Issue -, Pages 810-827

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2012.10.010

Keywords

A posteriori error estimators; Adaptive finite element method; Cahn-Hilliard/Navier-Stokes system; Double obstacle potential; Moreau-Yosida regularization; Semismooth Newton method

Funding

  1. Austrian Ministry of Science and Research
  2. Austrian Science Fund FWF [Y305-N18]
  3. German Research Fund (DFG) [SPP1253]
  4. Austrian Science Fund (FWF) [Y305] Funding Source: Austrian Science Fund (FWF)
  5. Austrian Science Fund (FWF) [Y 305] Funding Source: researchfish

Ask authors/readers for more resources

An adaptive a posteriori error estimator based finite element method for the numerical solution of a coupled Cahn-Hilliard/Navier-Stokes system with a double-obstacle homogenous free (interfacial) energy density is proposed. A semi-implicit Euler scheme for the time-integration is applied which results in a system coupling a quasi-Stokes or Oseen-type problem for the fluid flow to a variational inequality for the concentration and the chemical potential according to the Cahn-Hilliard model [16]. A Moreau-Yosida regularization is employed which relaxes the constraints contained in the variational inequality and, thus, enables semi-smooth Newton solvers with locally superlinear convergence in function space. Moreover, upon discretization this yields a mesh independent method for a fixed relaxation parameter. For the finite dimensional approximation of the concentration and the chemical potential piecewise linear and globally continuous finite elements are used, and for the numerical approximation of the fluid velocity Taylor-Hood finite elements are employed. The paper ends by a report on numerical examples showing the efficiency of the new method. (C) 2012 Elsevier Inc. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available