Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Construction of Supplemental Functions for Direct Serendipity and Mixed Finite Elements on Polygons

Version 1 : Received: 17 October 2023 / Approved: 17 October 2023 / Online: 18 October 2023 (09:34:28 CEST)

A peer-reviewed article of this Preprint also exists.

Arbogast, T.; Wang, C. Construction of Supplemental Functions for Direct Serendipity and Mixed Finite Elements on Polygons. Mathematics 2023, 11, 4663. Arbogast, T.; Wang, C. Construction of Supplemental Functions for Direct Serendipity and Mixed Finite Elements on Polygons. Mathematics 2023, 11, 4663.

Abstract

New families of direct serendipity and direct mixed finite elements on general planar, strictly convex polygons were recently defined by the authors. The finite elements of index r are H1 and H(div) conforming, respectively, and approximate optimally to order r+1 while using the minimal number of degrees of freedom. The shape function space consists of the full set of polynomials defined directly on the element and augmented with a space of supplemental functions. The supplemental functions were constructed as rational functions, which can be difficult to integrate accurately using numerical quadrature rules when the index is high. This can result in a loss of accuracy in certain cases. In this work, we propose alternative ways to construct the supplemental functions on the element as continuous piecewise polynomials. One approach results in supplemental functions that are in Hp for any p≥1. We prove the optimal approximation property for these new finite elements. We also perform numerical tests on them, comparing results for the original supplemental functions and the various alternatives. The new piecewise polynomial supplements can be integrated accurately, and therefore show better robustness with respect to the underlying meshes used.

Keywords

serendipity finite elements; direct finite elements; optimal approximation; polygonal meshes; finite element exterior calculus

Subject

Computer Science and Mathematics, Computational Mathematics

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