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

机译:弱奇异积分方程的自适应IGA边界元方法的可靠高效后验误差估计

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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. (C) 2015 The Authors. Published by Elsevier B.V.
机译:对于二维中一类的弱奇异积分方程,我们考虑使用Galerkin边界元方法(BEM)。我们分析了一些残余类型的后验误差估计量,该估计量为未知的Galerkin BEM误差提供了上下限。所需的假设很弱,并且允许边界的分段平滑参数化,局部网格细化以及相关的标准分段多项式以及NURBS。特别是,我们的分析在等几何分析(IGABEM)框架中为自适应BEM做出了第一贡献,为此,我们制定了一种自适应算法,该算法可指导局部网格细化和结的多重性。数值实验强调了理论发现,并表明所提出的自适应策略导致最优收敛。 (C)2015作者。由Elsevier B.V.发布

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