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曲线上自适应边界元方法的ZZ型后验误差估计器

ZZ-Type a posteriori error estimators for adaptive boundary element methods on a curve.

作者信息

Feischl Michael, Führer Thomas, Karkulik Michael, Praetorius Dirk

机构信息

Institute for Analysis and Scientific Computing, Vienna University of Technology, Wiedner Hauptstr. 8-10/E101/4, 1040 Wien, Austria.

Facultad de Matemáticas, Pontificia Universidad Católica de Chile, Avenida Vicuña Mackenna 4860, Santiago, Chile.

出版信息

Eng Anal Bound Elem. 2014 Jan;38(100):49-60. doi: 10.1016/j.enganabound.2013.10.008.

DOI:10.1016/j.enganabound.2013.10.008
PMID:24748725
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3990432/
Abstract

In the context of the adaptive finite element method (FEM), ZZ-error estimators named after Zienkiewicz and Zhu (1987) [52] are mathematically well-established and widely used in practice. In this work, we propose and analyze ZZ-type error estimators for the adaptive boundary element method (BEM). We consider weakly singular and hyper-singular integral equations and prove, in particular, convergence of the related adaptive mesh-refining algorithms. Throughout, the theoretical findings are underlined by numerical experiments.

摘要

在自适应有限元方法(FEM)的背景下,以齐恩凯维奇和朱(1987)[52]命名的ZZ误差估计器在数学上已得到充分确立,并在实践中广泛使用。在这项工作中,我们提出并分析了用于自适应边界元方法(BEM)的ZZ型误差估计器。我们考虑弱奇异和超奇异积分方程,并特别证明了相关自适应网格细化算法的收敛性。在整个过程中,数值实验突出了理论结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/470714ddf325/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/1a5d7a8dd51d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/9d47376d9b24/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/5c7203077ffd/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/b567dba5810f/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/4a3b5e8c92a4/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/0b50c950a978/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/470714ddf325/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/1a5d7a8dd51d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/9d47376d9b24/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/5c7203077ffd/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/b567dba5810f/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/4a3b5e8c92a4/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/0b50c950a978/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e4/3990432/470714ddf325/gr7.jpg

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引用本文的文献

1
Optimal convergence for adaptive IGA boundary element methods for weakly-singular integral equations.用于弱奇异积分方程的自适应等几何分析边界元方法的最优收敛性
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2
Reliable and efficient a posteriori error estimation for adaptive IGA boundary element methods for weakly-singular integral equations.用于弱奇异积分方程的自适应等几何分析边界元方法的可靠且高效的后验误差估计
Comput Methods Appl Mech Eng. 2015 Jun 15;290:362-386. doi: 10.1016/j.cma.2015.03.013.

本文引用的文献

1
Estimator reduction and convergence of adaptive BEM.自适应边界元法的估计器缩减与收敛性
Appl Numer Math. 2012 Jun;62(6):787-801. doi: 10.1016/j.apnum.2011.06.014.