An HDG method for linear elasticity with strong symmetric stresses
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Detail(s)
Original language | English |
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Pages (from-to) | 69-93 |
Journal / Publication | Mathematics of Computation |
Volume | 87 |
Issue number | 309 |
Online published | 1 May 2017 |
Publication status | Published - Jan 2018 |
Link(s)
Abstract
This paper presents a new hybridizable discontinuous Galerkin (HDG) method for linear elasticity on general polyhedral meshes, based on a strong symmetric stress formulation. The key feature of this new HDG method is the use of a special form of the numerical trace of the stresses, which makes the error analysis different from the projection-based error analyzes used for most other HDG methods. For arbitrary polyhedral elements, we approximate the stress by using polynomials of degree k ≥1 and the displacement by using polynomials of degree k + 1. In contrast, to approximate the numerical trace of the displacement on the faces, we use polynomials of degree k only. This allows for a very efficient implementation of the method, since the numerical trace of the displacement is the only globally-coupled unknown, but does not degrade the convergence properties of the method. Indeed, we prove optimal orders of convergence for both the stresses and displacements on the elements. In the almost incompressible case, we show the error of the stress is also optimal in the standard L2-norm. These optimal results are possible thanks to a special superconvergence property of the numerical traces of the displacement, and thanks to the use of the crucial elementwise Korn's inequality. Several numerical results are presented to support our theoretical findings in the end.
Research Area(s)
- Discontinuous Galerkin, Hybridizable, Linear elasticity, Superconvergence
Citation Format(s)
An HDG method for linear elasticity with strong symmetric stresses. / QIU, Weifeng; SHEN, Jiguang; SHI, Ke.
In: Mathematics of Computation, Vol. 87, No. 309, 01.2018, p. 69-93.
In: Mathematics of Computation, Vol. 87, No. 309, 01.2018, p. 69-93.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review