2000
DOI: 10.1051/m2an:2000103
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Error Control and Andaptivity for a Phase Relaxation Model

Abstract: Abstract. The phase relaxation model is a diffuse interface model with small parameter ε which consists of a parabolic PDE for temperature θ and an ODE with double obstacles for phase variable χ. To decouple the system a semi-explicit Euler method with variable step-size τ is used for time discretization, which requires the stability constraint τ ≤ ε. Conforming piecewise linear finite elements over highly graded simplicial meshes with parameter h are further employed for space discretization. A posteriori err… Show more

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Cited by 16 publications
(12 citation statements)
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“…In phase-field theory (see [4,6,7,9]), an ordinary differential equation is introduced for the computation of /. In this model it is preferable to use an algebraic equation but this simplification is valid only for the classical Stefan problem.…”
Section: Enthalpy and Semi-phase-field Formulationsmentioning
confidence: 99%
See 1 more Smart Citation
“…In phase-field theory (see [4,6,7,9]), an ordinary differential equation is introduced for the computation of /. In this model it is preferable to use an algebraic equation but this simplification is valid only for the classical Stefan problem.…”
Section: Enthalpy and Semi-phase-field Formulationsmentioning
confidence: 99%
“…This problem was also solved in [3] and [4]. The computational domain is the square ½À1; 1  ½À1; 1.…”
Section: Oscillating Sourcementioning
confidence: 99%
“…A number of numerical schemes have been developed based on phase-field models including spectral methods [4,12,13], finite element methods [14][15][16] and LBE methods [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, without these two conditions we derive an a posteriori error estimate for the total energy error based on a direct energy estimate argument which has been used in Chen, Nochetto and Schmidt [8] for the phase relaxation model, a system of one parabolic equation coupled with one variational inequality. This energy estimate argument is slightly different from that of [17].…”
Section: Introductionmentioning
confidence: 99%