Error Estimates and Graded Mesh Refinement for Isogeometric Analysis on Polar Domains with Corners
Thomas Apel, Philipp Zilk

TL;DR
This paper introduces a novel graded mesh refinement strategy for isogeometric analysis on polar domains with corners, achieving optimal convergence rates while maintaining tensor-product structure, and develops a new error estimation framework for such non-smooth geometries.
Contribution
It proposes a polar-based local refinement method that preserves tensor-product structure and develops a new error estimate framework for IGA on domains with corners.
Findings
Achieves optimal convergence rates with graded meshes near corners.
Maintains tensor-product spline structure despite local refinement.
Validates theoretical results with numerical experiments.
Abstract
Isogeometric analysis (IGA) enables exact representations of computational geometries and higher-order approximation of PDEs. In non-smooth domains, however, singularities near corners limit the effectiveness of IGA, since standard methods typically fail to achieve optimal convergence rates. These constraints can be addressed through local mesh refinement, but existing approaches require breaking the tensor-product structure of splines, which leads to increased implementation complexity. This work introduces a novel local refinement strategy based on a polar parameterization, in which one edge of the parametric square is collapsed into the corner. By grading the standard mesh toward the collapsing edge, the desired locality near the singularity is obtained while maintaining the tensor-product structure. A mathematical analysis and numerical tests show that the resulting isogeometric…
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Taxonomy
TopicsAdvanced Numerical Analysis Techniques · Iterative Methods for Nonlinear Equations · Polynomial and algebraic computation
