Hierarchical analysis-suitable T-splines: Formulation, Bézier extraction, and application as an adaptive basis for isogeometric analysis
arXiv:1404.4346 · doi:10.1016/j.cma.2014.05.019
Abstract
In this paper hierarchical analysis-suitable T-splines (HASTS) are developed. The resulting spaces are a superset of both analysis-suitable T-splines and hierarchical B-splines. The additional flexibility provided by the hierarchy of T-spline spaces results in simple, highly localized refinement algorithms which can be utilized in a design or analysis context. A detailed theoretical formulation is presented including a proof of local linear independence for analysis-suitable T-splines, a requisite theoretical ingredient for HASTS. Bézier extraction is extended to HASTS simplifying the implementation of HASTS in existing finite element codes. The behavior of a simple HASTS refinement algorithm is compared to the local refinement algorithm for analysis-suitable T-splines demonstrating the superior efficiency and locality of the HASTS algorithm. Finally, HASTS are utilized as a basis for adaptive isogeometric analysis.
References in corpus (1)
Cited by in corpus (10)
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- Adaptive Mesh Refinement Strategies in Isogeometric Analysis - A Computational Comparison
- Mathematical foundations of adaptive isogeometric analysis
- Complexity of hierarchical refinement for a class of admissible mesh configurations
- Globally structured 3D Analysis-suitable T-splines: definition, linear independence and m-graded local refinement
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- A fully non-invasive hybrid IGA/FEM scheme for the analysis of localized non-linear phenomena
- Multi-level Bézier extraction of truncated hierarchical B-splines for isogeometric analysis
- Hierarchical B-spline complexes of discrete differential forms
- Macro-element Refinement schemes for THB-Splines: Applications to Bézier Projection and Structure-Preserving Discretizations