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Reliable and efficient a posteriori error estimation for adaptive IGA boundary element methods for weakly-singular integral equations

We consider the Galerkin boundary element method (BEM) for weakly-singular integral equations of the first-kind in 2D. We analyze some residual-type a posteriori error estimator which provides a lower as well as an upper bound for the unknown Galerkin BEM error. The required assumptions are weak and...

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Autores principales: Feischl, Michael, Gantner, Gregor, Praetorius, Dirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: North-Holland Pub. Co 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4456116/
https://www.ncbi.nlm.nih.gov/pubmed/26085698
http://dx.doi.org/10.1016/j.cma.2015.03.013
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author Feischl, Michael
Gantner, Gregor
Praetorius, Dirk
author_facet Feischl, Michael
Gantner, Gregor
Praetorius, Dirk
author_sort Feischl, Michael
collection PubMed
description We consider the Galerkin boundary element method (BEM) for weakly-singular integral equations of the first-kind in 2D. We analyze some residual-type a posteriori error estimator which provides a lower as well as an upper bound for the unknown Galerkin BEM error. The required assumptions are weak and allow for piecewise smooth parametrizations of the boundary, local mesh-refinement, and related standard piecewise polynomials as well as NURBS. In particular, our analysis gives a first contribution to adaptive BEM in the frame of isogeometric analysis (IGABEM), for which we formulate an adaptive algorithm which steers the local mesh-refinement and the multiplicity of the knots. Numerical experiments underline the theoretical findings and show that the proposed adaptive strategy leads to optimal convergence.
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spelling pubmed-44561162015-06-15 Reliable and efficient a posteriori error estimation for adaptive IGA boundary element methods for weakly-singular integral equations Feischl, Michael Gantner, Gregor Praetorius, Dirk Comput Methods Appl Mech Eng Article We consider the Galerkin boundary element method (BEM) for weakly-singular integral equations of the first-kind in 2D. We analyze some residual-type a posteriori error estimator which provides a lower as well as an upper bound for the unknown Galerkin BEM error. The required assumptions are weak and allow for piecewise smooth parametrizations of the boundary, local mesh-refinement, and related standard piecewise polynomials as well as NURBS. In particular, our analysis gives a first contribution to adaptive BEM in the frame of isogeometric analysis (IGABEM), for which we formulate an adaptive algorithm which steers the local mesh-refinement and the multiplicity of the knots. Numerical experiments underline the theoretical findings and show that the proposed adaptive strategy leads to optimal convergence. North-Holland Pub. Co 2015-06-15 /pmc/articles/PMC4456116/ /pubmed/26085698 http://dx.doi.org/10.1016/j.cma.2015.03.013 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Feischl, Michael
Gantner, Gregor
Praetorius, Dirk
Reliable and efficient a posteriori error estimation for adaptive IGA boundary element methods for weakly-singular integral equations
title Reliable and efficient a posteriori error estimation for adaptive IGA boundary element methods for weakly-singular integral equations
title_full Reliable and efficient a posteriori error estimation for adaptive IGA boundary element methods for weakly-singular integral equations
title_fullStr Reliable and efficient a posteriori error estimation for adaptive IGA boundary element methods for weakly-singular integral equations
title_full_unstemmed Reliable and efficient a posteriori error estimation for adaptive IGA boundary element methods for weakly-singular integral equations
title_short Reliable and efficient a posteriori error estimation for adaptive IGA boundary element methods for weakly-singular integral equations
title_sort reliable and efficient a posteriori error estimation for adaptive iga boundary element methods for weakly-singular integral equations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4456116/
https://www.ncbi.nlm.nih.gov/pubmed/26085698
http://dx.doi.org/10.1016/j.cma.2015.03.013
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AT praetoriusdirk reliableandefficientaposteriorierrorestimationforadaptiveigaboundaryelementmethodsforweaklysingularintegralequations