Optimal quadrature rules for odd-degree spline spaces and their application to tensor-product-based isogeometric analysis

We introduce optimal quadrature rules for spline spaces that are frequently used in Galerkin discretizations to build mass and stiffness matrices. Using the homotopy continuation concept (Barton and Calo, 2016) that transforms optimal quadrature rules from source spaces to target spaces, we derive o...

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Main Authors: Barton, M., Calo, Victor
Format: Journal Article
Published: 2016
Online Access:http://hdl.handle.net/20.500.11937/4575
id curtin-20.500.11937-4575
recordtype eprints
spelling curtin-20.500.11937-45752018-03-29T09:05:25Z Optimal quadrature rules for odd-degree spline spaces and their application to tensor-product-based isogeometric analysis Barton, M. Calo, Victor We introduce optimal quadrature rules for spline spaces that are frequently used in Galerkin discretizations to build mass and stiffness matrices. Using the homotopy continuation concept (Barton and Calo, 2016) that transforms optimal quadrature rules from source spaces to target spaces, we derive optimal rules for splines defined on finite domains. Starting with the classical Gaussian quadrature for polynomials, which is an optimal rule for a discontinuous odd-degree space, we derive rules for target spaces of higher continuity. We further show how the homotopy methodology handles cases where the source and target rules require different numbers of optimal quadrature points. We demonstrate it by deriving optimal rules for various odd-degree spline spaces, particularly with non-uniform knot sequences and non-uniform multiplicities. We also discuss convergence of our rules to their asymptotic counterparts, that is, the analogues of the midpoint rule of Hughes et al. (2010), that are exact and optimal for infinite domains. For spaces of low continuities, we numerically show that the derived rules quickly converge to their asymptotic counterparts as the weights and nodes of a few boundary elements differ from the asymptotic values. 2016 Journal Article http://hdl.handle.net/20.500.11937/4575 10.1016/j.cma.2016.02.034 restricted
repository_type Digital Repository
institution_category Local University
institution Curtin University Malaysia
building Curtin Institutional Repository
collection Online Access
description We introduce optimal quadrature rules for spline spaces that are frequently used in Galerkin discretizations to build mass and stiffness matrices. Using the homotopy continuation concept (Barton and Calo, 2016) that transforms optimal quadrature rules from source spaces to target spaces, we derive optimal rules for splines defined on finite domains. Starting with the classical Gaussian quadrature for polynomials, which is an optimal rule for a discontinuous odd-degree space, we derive rules for target spaces of higher continuity. We further show how the homotopy methodology handles cases where the source and target rules require different numbers of optimal quadrature points. We demonstrate it by deriving optimal rules for various odd-degree spline spaces, particularly with non-uniform knot sequences and non-uniform multiplicities. We also discuss convergence of our rules to their asymptotic counterparts, that is, the analogues of the midpoint rule of Hughes et al. (2010), that are exact and optimal for infinite domains. For spaces of low continuities, we numerically show that the derived rules quickly converge to their asymptotic counterparts as the weights and nodes of a few boundary elements differ from the asymptotic values.
format Journal Article
author Barton, M.
Calo, Victor
spellingShingle Barton, M.
Calo, Victor
Optimal quadrature rules for odd-degree spline spaces and their application to tensor-product-based isogeometric analysis
author_facet Barton, M.
Calo, Victor
author_sort Barton, M.
title Optimal quadrature rules for odd-degree spline spaces and their application to tensor-product-based isogeometric analysis
title_short Optimal quadrature rules for odd-degree spline spaces and their application to tensor-product-based isogeometric analysis
title_full Optimal quadrature rules for odd-degree spline spaces and their application to tensor-product-based isogeometric analysis
title_fullStr Optimal quadrature rules for odd-degree spline spaces and their application to tensor-product-based isogeometric analysis
title_full_unstemmed Optimal quadrature rules for odd-degree spline spaces and their application to tensor-product-based isogeometric analysis
title_sort optimal quadrature rules for odd-degree spline spaces and their application to tensor-product-based isogeometric analysis
publishDate 2016
url http://hdl.handle.net/20.500.11937/4575
first_indexed 2018-09-06T17:52:40Z
last_indexed 2018-09-06T17:52:40Z
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