2019
DOI: 10.1016/j.camwa.2018.12.026
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h- and p-adaptivity driven by recovery and residual-based error estimators for PHT-splines applied to time-harmonic acoustics

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Cited by 49 publications
(10 citation statements)
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“…the requirement of iso-parametric approximation. In [15], GIFT was applied to problems of heat conduction and linear elasticity, in [18] -to time-harmonic acoustics, where it was shown that NURBS geometry and PHT-splines as solution basis yield optimal convergence rate and lead to computational savings in comparison with NURBS-based IGA and PHT-splines based IGA. Computational savings are associated with avoiding geometry refinement and utilizing adaptive local refinement of the solution.…”
Section: Discussionmentioning
confidence: 99%
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“…the requirement of iso-parametric approximation. In [15], GIFT was applied to problems of heat conduction and linear elasticity, in [18] -to time-harmonic acoustics, where it was shown that NURBS geometry and PHT-splines as solution basis yield optimal convergence rate and lead to computational savings in comparison with NURBS-based IGA and PHT-splines based IGA. Computational savings are associated with avoiding geometry refinement and utilizing adaptive local refinement of the solution.…”
Section: Discussionmentioning
confidence: 99%
“…These beneficial features made the recovered-based error estimator widely applied in engineering [22]. In [18] a comparison between residual-based and recovery-based error estimators was recently done in the context of the Helmholtz equation, leading in both cases to similar results. In this work, we propose a recovery-based error estimator based on the stress definition in the framework of the Kirchhoff-Love theory.…”
Section: A Posteriori Error Estimatormentioning
confidence: 99%
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“…Within this framework, NURBS are used as basis functions but are truncated. The performance of B-splines FEM and adaptive PHT-spline IGA for solving exterior time-harmonic acoustic problems were studied in [38,39]. In particular, it was shown that the pollution error is well controlled for a fixed discretization density and order of the basis functions p � 3.…”
Section: Introductionmentioning
confidence: 99%