CutVEM: Conforming virtual element method on embedded domains with shape-agnostic element agglomeration
Ramsharan Rangarajan, N. Sukumar

TL;DR
CutVEM introduces a novel element agglomeration algorithm for the virtual element method, improving robustness on embedded domains with minimal impact on accuracy and maintaining optimal convergence rates.
Contribution
The paper presents a shape-agnostic, eigenvalue-based element agglomeration algorithm that enhances VEM stability on cut cell meshes for embedded domain simulations.
Findings
Significantly improved condition numbers of stiffness matrices.
Retains optimal convergence rates in heat conduction problems.
Demonstrates robustness across various embedded interface configurations.
Abstract
The virtual element method (VEM) is a stabilized Galerkin method that is robust and accurate on general polygonal meshes. This feature makes it an appealing candidate for simulations involving meshes with embedded interfaces and evolving geometries. However, similar to the finite element method, in such scenarios the VEM can also yield poorly conditioned stiffness matrices due to meshes having cut cells. With the objective of developing an embedded domain method, we propose a novel element agglomeration algorithm for the VEM to address this issue. The agglomeration algorithm renders the VEM robust over planar polygonal meshes, particularly on finite element meshes cut by immersed geometries. The algorithm relies on the element stability ratio, which we define using the extreme eigenvalues of the element stiffness matrix. The resulting element agglomeration criterion is free from…
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