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A new elasticity element made for enforcing weak stress symmetry
Author(s):
Bernardo
Cockburn;
Jayadeep
Gopalakrishnan;
Johnny
Guzmán.
Journal:
Math. Comp.
79
(2010),
1331-1349.
MSC (2000):
Primary 65M60, 65N30, 35L65
Posted:
March 12, 2010
MathSciNet review:
2629995
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Abstract:
We introduce a new mixed method for linear elasticity. The novelty is a simplicial element for the approximate stress. For every positive integer , the row-wise divergence of the element space spans the set of polynomials of total degree . The degrees of freedom are suited to achieve continuity of the normal stresses. What makes the element distinctive is that its dimension is the smallest required for enforcing a weak symmetry condition on the approximate stress. This is achieved using certain ``bubble matrices'', which are special divergence-free matrix-valued polynomials. We prove that the approximation error is of order in both the displacement and the stress, and that a postprocessed displacement approximation converging at order can be computed element by element. We also show that the globally coupled degrees of freedom can be reduced by hybridization to those of a displacement approximation on the element boundaries.
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Additional Information:
Bernardo
Cockburn
Affiliation:
School of Mathematics, University of Minnesota, Minneapolis, Minnesota 55455
Email:
cockburn@math.umn.edu
Jayadeep
Gopalakrishnan
Affiliation:
Department of Mathematics, University of Florida, Gainesville, Florida 32611-8105
Email:
jayg@ufl.edu
Johnny
Guzmán
Affiliation:
Division of Applied Mathematics, Brown University, Providence, Rhode Island 02912
Email:
johnny_guzman@brown.edu
DOI:
10.1090/S0025-5718-10-02343-4
PII:
S 0025-5718(10)02343-4
Keywords:
Finite element,
elasticity,
weakly imposed symmetry,
mixed method
Received by editor(s):
February 23, 2009
Received by editor(s) in revised form:
July 31, 2009
Posted:
March 12, 2010
Additional Notes:
The first author was supported in part by the National Science Foundation (grant DMS-0712955) and by the University of Minnesota Supercomputing Institute
The second author was supported in part by the National Science Foundation (grants DMS-0713833 and SCREMS-0619080)
The third author was partially supported by the National Science Foundation grant DMS-0914596
Copyright of article:
Copyright
2010,
American Mathematical Society
The copyright for this article reverts to public domain after 28 years from publication.
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