2020
DOI: 10.1016/j.cma.2020.112833
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High order transition elements: The xy-element concept—Part I: Statics

Abstract: Advanced transition elements are of utmost importance in many applications of the finite element method (FEM) where a local mesh refinement is required. Considering problems that exhibit singularities in the solution, an adaptive hp-refinement procedure must be applied. Even today, this is a very demanding task especially if only quadrilateral/hexahedral elements are deployed and consequently the hanging nodes problem is encountered. These element types, are, however, favored in computational mechanics due to … Show more

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Cited by 22 publications
(16 citation statements)
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“…At this point, only the basic idea is sketched and we refer to the pertinent literature [16][17][18][19][49][50][51]61,62] and the references cited therein. In particular, the authors recently presented a comprehensive analysis and generalization of this class of elements in [13]. The interested reader may refer to this publication for further details on the concepts outlined in the current work.…”
Section: Projection: Fundamental Ideamentioning
confidence: 99%
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“…At this point, only the basic idea is sketched and we refer to the pertinent literature [16][17][18][19][49][50][51]61,62] and the references cited therein. In particular, the authors recently presented a comprehensive analysis and generalization of this class of elements in [13]. The interested reader may refer to this publication for further details on the concepts outlined in the current work.…”
Section: Projection: Fundamental Ideamentioning
confidence: 99%
“…Similarly, by employing quadratic interpolation with evenly spaced nodes along all edges, we recover the well-known shape functions of the eight-node 'Serendipity' element. A graphical derivation of similar shape functions is given in [68], illustrating the more general concept developed in [13] for simple elements. By further increasing the polynomial degree, we can construct elements with an arbitrary interpolation order on the edges.…”
Section: Example: Linear Shape Functionsmentioning
confidence: 99%
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