线性弹性不连续Galerkin方法的最优BV估计

A. Lew, P. Neff, D. Sulsky, M. Ortiz
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引用次数: 95

摘要

分析了线性弹性的不连续伽辽金方法。离散公式来源于Hellinger-Reissner变分原理,并添加了类似于其他人先前对Navier-Stokes方程和标量泊松方程所考虑的稳定化项。对于我们的公式,我们首先获得了网格相关范数和自然网格无关BD范数的收敛性。然后,我们证明了Korn第二不等式的推广,这使我们能够将结果加强到最优的,与网格无关的误差BV估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal BV estimates for a discontinuous Galerkin method for linear elasticity
We analyze a discontinuous Galerkin method for linear elasticity. The discrete formulation derives from the Hellinger-Reissner variational principle with the addition of stabilization terms analogous to those previously considered by others for the Navier-Stokes equations and a scalar Poisson equation. For our formulation, we first obtain convergence in a mesh-dependent norm and in the natural mesh-independent BD norm. We then prove a generalization of Korn's second inequality which allows us to strengthen our results to an optimal, mesh-independent BV estimate for the error.
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