Weighted quadrature for hierarchical B-splines
arXiv:2109.12632 · doi:10.1016/j.cma.2022.115465
Abstract
We present weighted quadrature for hierarchical B-splines to address the fast formation of system matrices arising from adaptive isogeometric Galerkin methods with suitably graded hierarchical meshes. By exploiting a local tensor-product structure, we extend the construction of weighted rules from the tensor-product to the hierarchical spline setting. The proposed algorithm has a computational cost proportional to the number of degrees of freedom and advantageous properties with increasing spline degree. To illustrate the performance of the method and confirm the theoretical estimates, a selection of 2D and 3D numerical tests is provided.
References in corpus (8)
- Fast formation of isogeometric Galerkin matrices by weighted quadrature
- Nonlinear static isogeometric analysis of arbitrarily curved Kirchhoff-Love shells
- Suitably graded THB-spline refinement and coarsening: Towards an adaptive isogeometric analysis of additive manufacturing processes
- Matrix-free weighted quadrature for a computationally efficient isogeometric -method
- Mathematical foundations of adaptive isogeometric analysis
- Adaptive IGAFEM with optimal convergence rates: Hierarchical B-splines
- Sum-factorization techniques in Isogeometric Analysis
- The surrogate matrix methodology: Accelerating isogeometric analysis of waves