A high order unfitted hybridizable discontinuous Galerkin method for linear elasticity
Juan M. Cardenas, Manuel Solano

TL;DR
This paper introduces a high-order hybridizable discontinuous Galerkin method for linear elasticity problems on complex domains, utilizing boundary data transfer via line integrals and achieving optimal error estimates.
Contribution
The work develops a novel HDG scheme for elasticity on non-polyhedral domains, incorporating rotation as an unknown and explicit boundary data representation.
Findings
The method is well-posed under boundary closeness assumptions.
Optimal error estimates are established, even in nearly incompressible cases.
Numerical experiments validate the theoretical results.
Abstract
This work analyzes a high order hybridizable discontinuous Galerkin (HDG) method for the linear elasticity problem in a domain not necessarily polyhedral. The domain is approximated by a polyhedral computational domain where the HDG solution can be computed. The introduction of the rotation as one of the unknowns allows us to use the gradient of the displacements to obtain an explicit representation of the boundary data in the computational domain. The boundary data is transferred from the true boundary to the computational boundary by line integrals, where the integrand depends on the Cauchy stress tensor and the rotation. Under closeness assumptions between the computational and true boundaries, the scheme is shown to be well-posed and optimal error estimates are provided even in the nearly incompressible. Numerical experiments in two-dimensions are presented.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Numerical methods in engineering · Electromagnetic Simulation and Numerical Methods
