Sponsor
Gopalakrishnan was supported by the National Science Foundation (grant DMS-1014817). Guzmán was partially supported by the National Science Foundation (grant DMS-0914596)
Document Type
Post-Print
Publication Date
2011
Subjects
Finite element method, Elasticity, Lagrange equations, Numerical analysis
Abstract
We present a family of mixed methods for linear elasticity that yield exactly symmetric, but only weakly conforming, stress approximations. The method is presented in both two and three dimensions (on triangular and tetrahedral meshes). The method is efficiently implementable by hybridization. The degrees of freedom of the Lagrange multipliers, which approximate the displacements at the faces, solve a symmetric positive-definite system. The design and analysis of this method is motivated by a new set of unisolvent degrees of freedom for symmetric polynomial matrices. These new degrees of freedom are also used to give a new simple calculation of the dimension of the space of polynomial symmetric matrix fields with vanishing normal traces and zero divergence on a tetrahedron. Such a dimension count was important in the development of the symmetric $H(\mathrm{div})$ conforming methods found in [D. N. Arnold, G. Awanou, and R. Winther, Math. Comp., 77 (2008), pp. 1229–1251].
Rights
Copyright © 2011 Society for Industrial and Applied Mathematics
Locate the Document
DOI
10.1137/10080018X
Persistent Identifier
http://archives.pdx.edu/ds/psu/10627
Citation Details
Published as: Gopalakrishnan, J., & Guzmán, J. (2011). Symmetric nonconforming mixed finite elements for linear elasticity. SIAM journal on numerical analysis, 49(4), 1504-1520.
Description
This is the author’s version of a work that was accepted for publication in SIAM Journal on Numerical Analysis. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in SIAM Journal on Numerical Analysis, 49(4), 1504–1520.