A posteriori and a priori error estimates for linearized thin sheet folding
Harbir Antil, Sean P. Carney, Rohit Khandelwal

TL;DR
This paper develops a posteriori and a priori error estimates for a discontinuous Galerkin method applied to a fourth order elliptic interface problem modeling thin sheet folding, with novel efficiency bounds and numerical validation.
Contribution
It introduces a new local efficiency bound for error estimation using a novel edge bubble function and improves a priori error estimates with medius analysis.
Findings
Efficient error estimator for interface conditions
Improved a priori error bounds under minimal regularity
Numerical experiments confirm theoretical results
Abstract
We describe a posteriori error analysis for a discontinuous Galerkin method for a fourth order elliptic interface problem that arises from a linearized model of thin sheet folding. The primary contribution is a local efficiency bound for an estimator that measures the extent to which the interface conditions along the fold are satisfied, which is accomplished by constructing a novel edge bubble function. We subsequently conduct a medius analysis to obtain improved a priori error estimates under the minimal regularity assumption on the exact solution. The performance of the method is illustrated by numerical experiments.
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Advanced Mathematical Modeling in Engineering · Matrix Theory and Algorithms
