High Continuity Basis’s Impact on Continuous Global L2 (CGL2) Recovery

T. Kvamsdal, A. Abdulhaque, M. Kumar, K. Johannessen, A. Kvarving, K. Okstad
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Abstract

In the recovery-based estimates method, we employ a projection technique to recover a post-processed quantity (usually the stresses or the gradient computed from the FE-approximation). The error is estimated by taking the difference between the recovered quantity and the FE-solution. An easy procedure to implement is the continuous global L2 (CGL2) recovery initially used for a posteriori error estimation by Zienkiewicz and Zhu [1]. Kumar, Kvamsdal and Johannessen [2] developed CGL2 and Superconvergent Patch Recovery (SPR) error estimation methods applicable for adaptive refinement using LR B-splines [3] and observed very good results for both the CGL2 and the SPR recovery technique. However, Cai and Zhang reported in [4] a case of malfunction for the CGL2-recovery applied to second order triangular and tetrahedral Lagrange finite element. Here we will start out by presenting a motivational example that illustrates the benefits of using high regularity splines in the CGL2 based gradient recovery procedure compared to using the classical Lagrange FEM basis functions. We will then show the performance on some benchmark problems comparing the use of splines
高连续性基础对连续全局L2 (CGL2)恢复的影响
在基于恢复的估计方法中,我们采用投影技术来恢复后处理量(通常是由fe近似计算的应力或梯度)。误差的估计是取回收量与fe溶液的差值。一个容易实现的过程是连续全局L2 (CGL2)恢复,最初由Zienkiewicz和Zhu[1]用于后验误差估计。Kumar, Kvamsdal和Johannessen[2]开发了CGL2和超收敛补丁恢复(Superconvergent Patch Recovery, SPR)误差估计方法,适用于使用LR b样条进行自适应精化[3],并观察到CGL2和SPR恢复技术都取得了非常好的结果。然而,Cai和Zhang在[4]中报道了应用于二阶三角形和四面体拉格朗日有限元的CGL2-recovery出现故障的情况。在这里,我们将首先提出一个激励的例子,说明在基于CGL2的梯度恢复过程中与使用经典拉格朗日有限元基函数相比,使用高正则样条的好处。然后,我们将在一些基准问题上展示使用样条的性能
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