Issue |
ESAIM: M2AN
Volume 33, Number 4, July August 1999
|
|
---|---|---|
Page(s) | 781 - 796 | |
DOI | https://doi.org/10.1051/m2an:1999163 | |
Published online | 15 August 2002 |
An adaptive finite element method for solving a double well problem describing crystalline microstructure
Mathematisches Seminar,
Christian-Albrechts-Universität Kiel,
Ludewig-Meyn-Str. 4,
24098 Kiel, Germany. apr@numerik.uni-kiel.de.
Received:
27
February
1998
Revised:
12
September
1998
The minimization of nonconvex functionals naturally arises in materials sciences where deformation gradients in certain alloys exhibit microstructures. For example, minimizing sequences of the nonconvex Ericksen-James energy can be associated with deformations in martensitic materials that are observed in experiments[2,3]. — From the numerical point of view, classical conforming and nonconforming finite element discretizations have been observed to give minimizers with their quality being highly dependent on the underlying triangulation, see [8,24,26,27] for a survey. Recently, a new approach has been proposed and analyzed in [15,16] that is based on discontinuous finite elements to reduce the pollution effect of a general triangulation on the computed minimizer. The goal of the present paper is to propose and analyze an adaptive method, giving a more accurate resolution of laminated microstructure on arbitrary grids.
Mathematics Subject Classification: 65K10 / 65M50 / 65N30 / 73C50 / 73S10
Key words: Adaptive algorithm / finite element method / nonconvex minimization / multi-well problem / microstructure / multiscale / nonlinear elasticity / shape-memory alloy / materials science.
© EDP Sciences, SMAI, 1999
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.