Issue |
ESAIM: M2AN
Volume 52, Number 6, November-December 2018
|
|
---|---|---|
Page(s) | 2247 - 2282 | |
DOI | https://doi.org/10.1051/m2an/2018038 | |
Published online | 01 February 2019 |
Research Article
Cut finite element methods for partial differential equations on embedded manifolds of arbitrary codimensions
1
Department of Mathematics, University College London, London, WC1E 6BT, UK
2
Department of Mechanical Engineering, Jönköping University, 55111 Jönköping, Sweden
3
Department of Mathematics and Mathematical Statistics, Umeå University, 90187 Umeå, Sweden
* Corresponding author: andre.massing@umu.se
Received:
20
September
2017
Accepted:
25
May
2018
We develop a theoretical framework for the analysis of stabilized cut finite element methods for the Laplace-Beltrami operator on a manifold embedded in ℝd of arbitrary codimension. The method is based on using continuous piecewise linears on a background mesh in the embedding space for approximation together with a stabilizing form that ensures that the resulting problem is stable. The discrete manifold is represented using a triangulation which does not match the background mesh and does not need to be shape-regular, which includes level set descriptions of codimension one manifolds and the non-matching embedding of independently triangulated manifolds as special cases. We identify abstract key assumptions on the stabilizing form which allow us to prove a bound on the condition number of the stiffness matrix and optimal order a priori estimates. The key assumptions are verified for three different realizations of the stabilizing form including a novel stabilization approach based on penalizing the surface normal gradient on the background mesh. Finally, we present numerical results illustrating our results for a curve and a surface embedded in ℝ3.
Mathematics Subject Classification: 65N30 / 65N85 / 58J05
Key words: Surface PDE / Laplace-Beltrami operator / cut finite element method / stabilization / condition number / a priori error estimates / arbitrary codimension
© EDP Sciences, SMAI 2019
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