The Johnson–Křížek–Mercier elasticity element in higher dimensions

Abstract Mixed methods for linear elasticity with strongly symmetric stresses of lowest order are studied in this paper. On each simplex, the stress space has piecewise linear components with respect to its Alfeld split (which connects the vertices to barycenter), generalizing the Johnson–Mercier two-dimensional element to higher dimensions. Further reductions in the stress space in the three-dimensional case (to 24 degrees of freedom per tetrahedron) are possible when the displacement space is reduced to local rigid displacements. Proofs of optimal error estimates of numerical solutions and improved error estimates via postprocessing and the duality argument are presented.

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Publication Details

Journal
Journal of Numerical Mathematics
Published
2025-12-19
DOI
https://doi.org/10.1515/jnma-2025-0020
Citations
2
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
2.67
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article

The Johnson–Křížek–Mercier elasticity element in higher dimensions

Jay Gopalakrishnan, Jeonghun J. Lee, Johnny Guzmán
2 citations
Journal of Numerical Mathematics
Advanced Numerical Methods in Computational Mathematics
2.67
article

The Johnson–Křížek–Mercier elasticity element in higher dimensions

Jay Gopalakrishnan, Jeonghun J. Lee, Johnny Guzmán
article en
2 citations

Abstract

Abstract Mixed methods for linear elasticity with strongly symmetric stresses of lowest order are studied in this paper. On each simplex, the stress space has piecewise linear components with respect to its Alfeld split (which connects the vertices to barycenter), generalizing the Johnson–Mercier two-dimensional element to higher dimensions. Further reductions in the stress space in the three-dimensional case (to 24 degrees of freedom per tetrahedron) are possible when the displacement space is reduced to local rigid displacements. Proofs of optimal error estimates of numerical solutions and improved error estimates via postprocessing and the duality argument are presented.

Journal of Numerical Mathematics
Portland State University (US), Baylor University (US), Brown University (US)
Openalex Percentile: Top 9%
Advanced Numerical Methods in Computational Mathematics
2.67
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