Geometrical discretisations for unfitted finite elements on explicit boundary representations

Abstract

Unfitted (also known as embedded or immersed) finite element approximations of partial differential equations are very attractive because they have much lower geometrical requirements than standard body-fitted formulations. These schemes do not require body-fitted unstructured mesh generation. In turn, the numerical integration becomes more involved, because one has to compute integrals on portions of cells (only the interior part). In practice, these methods are restricted to level-set (implicit) geometrical representations, which drastically limit their application. Complex geometries in industrial and scientific problems are usually determined by (explicit) boundary representations. In this work, we propose an automatic computational framework for the discretisation of partial differential equations on domains defined by oriented boundary meshes. The geometrical kernel that connects functional and geometry representations generates a two-level integration mesh and a refinement of the boundary mesh that enables the straightforward numerical integration of all the terms in unfitted finite elements. The proposed framework has been applied with success on all analysis-suitable oriented boundary meshes (almost 5,000) in the Thingi10K database and combined with an unfitted finite element formulation to discretise partial differential equations on the corresponding domains.

References in corpus (5)

• Thingi10K: A Dataset of 10,000 3D-Printing Models
• An exact general remeshing scheme applied to physically conservative voxelization
• Robust and scalable h-adaptive aggregated unfitted finite elements for interface elliptic problems
• The aggregated unfitted finite element method on parallel tree-based adaptive meshes
• Mollified finite element approximants of arbitrary order and smoothness

Cited by in corpus (4)

• High order unfitted finite element discretizations for explicit boundary representations
• Level-set topology optimisation with unfitted finite elements and automatic shape differentiation
• Space-time unfitted finite elements on moving explicit geometry representations
• Unfitted finite element interpolated neural networks