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Efficiency of nonparametric finite elements for optimal-order enforcement of Dirichlet conditions on curvilinear boundaries

机译:非参数有限元的效率,以获得曲线边界的Dirichlet条件的最佳顺序强制

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摘要

In recent papers (see e.g. Ruas (2020a) and Ruas (2020b)) a nonparametric technique of the Petrov-Galerkin type was analyzed, whose aim is the accuracy enhancement of higher order finite element methods to solve boundary value problems with Dirichlet conditions, posed in smooth curved domains. In contrast to parametric elements, it employs straight-edged triangular or tetrahedral meshes fitting the domain. In order to attain best-possible orders greater than one, piecewise polynomial trial-functions are employed, which interpolate the Dirichlet conditions at points of the true boundary. The test-functions in turn are defined upon the standard degrees of freedom associated with the underlying method for polytopic domains. As a consequence, when the problem at hand is self-adjoint a non symmetric linear system has to be solved. This paper is primarily aimed at showing that in this case, an efficient symmetrization of the solution procedure can be achieved by means of a fast converging iterative method. In order to illustrate the great generality of our nonparametric approach, experimentation is presented with a finite element method having degrees of freedom other than nodal values. More specifically we consider a nonconforming quadratic element in the solution of the three-dimensional Poisson equation. The performance evaluation however is conducted as well for two versions of the classical conforming quadratic method, namely, the nonparametric Petrov-Galerkin formulation considered in Ruas (2020b) and the standard isoparametric one. The study of this symmetrization is completed by an optimal error estimation in the broken H-1-norm for the nonparametric version of the nonconforming method, which had not been addressed in previous work. (C) 2021 Elsevier B.V. All rights reserved.
机译:在最近的论文中(参见Ruas(2020a)和Ruas(2020b))分析了Petrov-Galerkin类型的非参数技术,其目的是提高高阶有限元方法的精度,以解决光滑曲线区域中的Dirichlet条件边值问题。与参数化元素不同,它使用直边三角形或四面体网格来拟合域。为了获得大于1的最佳可能阶数,采用分段多项式试函数,在真实边界点处插值Dirichlet条件。测试函数反过来是根据多面体域的基本方法相关的标准自由度定义的。因此,当手头的问题是自伴问题时,必须解决一个非对称线性系统。本文的主要目的是证明在这种情况下,通过快速收敛的迭代方法可以实现求解过程的有效对称化。为了说明我们的非参数方法的普遍性,我们用一种非节点自由度的有限元方法进行了实验。更具体地,我们考虑三维Poisson方程的解中的非协调二次元。然而,对经典的协调二次法的两个版本也进行了性能评估,即Ruas(2020b)中考虑的非参数Petrov-Galerkin公式和标准等参数公式。这种对称化的研究是通过非参数版本的非协调方法的破H-1范数中的最优误差估计来完成的,这在以前的工作中没有得到解决。(c)2021爱思唯尔B.V.保留所有权利。

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