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• W3208489005 abstract "This paper presents a new and unified approach to the derivation and analysis of many existing, as well as new discontinuous Galerkin methods for linear elasticity problems. The analysis is based on a unified discrete formulation for the linear elasticity problem consisting of four discretization variables: strong symmetric stress tensor (varvec{sigma }_h) and displacement (u_h) inside each element, and the modifications of these two variables (check{varvec{sigma }}_h) and ({check{u}}_h) on elementary boundaries of elements. Motivated by many relevant methods in the literature, this formulation can be used to derive most existing discontinuous, nonconforming and conforming Galerkin methods for linear elasticity problems and especially to develop a number of new discontinuous Galerkin methods. Many special cases of this four-field formulation are proved to be hybridizable and can be reduced to some known hybridizable discontinuous Galerkin, weak Galerkin and local discontinuous Galerkin methods by eliminating one or two of the four fields. As certain stabilization parameter tends to zero, this four-field formulation is proved to converge to some conforming and nonconforming mixed methods for linear elasticity problems. Two families of inf-sup conditions, one known as (H^1)-based and the other known as (H(mathrm{div}))-based, are proved to be uniformly valid with respect to different choices of discrete spaces and parameters. These inf-sup conditions guarantee the well-posedness of the new proposed methods and also offer a new and unified analysis for many existing methods in the literature as a by-product. Some numerical examples are provided to verify the theoretical analysis including the optimal convergence of the new proposed methods." @default.
• W3208489005 created "2021-11-08" @default.
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• W3208489005 date "2021-10-22" @default.
• W3208489005 modified "2023-10-18" @default.
• W3208489005 title "New discontinuous Galerkin algorithms and analysis for linear elasticity with symmetric stress tensor" @default.
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• W3208489005 doi "https://doi.org/10.1007/s00211-021-01234-3" @default.
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