arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1502.00565math.NAcs.NA

自适应等几何方法与分层样条:误差估计器和收敛性

Adaptive isogeometric methods with hierarchical splines: error estimator and convergence

Annalisa Buffa, Carlotta Giannelli

AI总结:

本文研究了使用截断分层B样条的自适应等几何方法,提出后验误差界和收敛性证明,结合简单标记策略实现局部细化网格。

摘要:

本文探讨了开发用于求解椭圆二阶偏微分方程的自适应等几何方法(AIGM),使用任意次数和不同连续性的截断分层B样条。适应性分析在任意空间维度中成立。我们考虑了一种简单的残差型误差估计器,提供局部误差指标的后验上界和下界,考虑了振荡在标准自适应有限元设置中的关键作用。误差估计与简单标记策略结合,定义了可接受的局部细化网格序列和近似解。设计了保持分层网格配置在自适应循环连续步骤中可接受性的细化模块。准误差的收缩性质,由能量误差和缩放误差估计器之和给出,导致AIGM的收敛性证明。

英文摘要:

The problem of developing an adaptive isogeometric method (AIGM) for solving elliptic second-order partial differential equations with truncated hierarchical B-splines of arbitrary degree and different order of continuity is addressed. The adaptivity analysis holds in any space dimensions. We consider a simple residual-type error estimator for which we provide a posteriori upper and lower bound in terms of local error indicators, taking also into account the critical role of oscillations as in a standard adaptive finite element setting. The error estimates are properly combined with a simple marking strategy to define a sequence of admissible locally refined meshes and corresponding approximate solutions. The design of a refine module that preserves the admissibility of the hierarchical mesh configuration between two consectutive steps of the adaptive loop is presented. The contraction property of the quasi-error, given by the sum of the energy error and the scaled error estimator, leads to the convergence proof of the AIGM.

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