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On error estimation and adaptive refinement for element free Galerkin method Part Ⅱ: adaptive refinement

机译:无元素Galerkin方法的误差估计和自适应细化第二部分:自适应细化

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In this paper, an adaptive refinement procedure using the element free Galerkin method (EFGM) for the solution of 2D linear elastostatic problems is suggested. Based on the numerical experiments done in Part Ⅰ of the current study, in the proposed adaptive refinement scheme, the Zienkiewicz and Zhu (Z-Z) error estimator using the T-Belytschko (TB) stress recovery scheme is employed for the a posteriori error estimation of EFGM solution. By considering the a priori convergence rate of the EFGM solution and the estimated error norm, an adaptive refinement strategy for the determination of optimal node spacing is proposed. A simple point mesh generation scheme using pre-defined templates to generate new nodes inside the integration cells for adaptive refinement is also developed. The performance of the suggested refinement procedure is tested by using it to solve several benchmark problems. Numerical results obtained indicate that the suggested procedure can lead to the generation of nearly optimal meshes and the effects of singular points inside the problem domain are largely eliminated. The optimal convergence rate of the EFGM analysis is restored and the effectivity indices of the Z-Z error estimator are converging towards the ideal value of unity as the meshes are refined.
机译:本文针对二维线性弹性静力问题,提出了一种使用无元素Galerkin方法(EFGM)的自适应细化程序。根据本研究第一部分所做的数值实验,在提出的自适应细化方案中,采用T-Belytschko(TB)应力恢复方案的Zienkiewicz和Zhu(ZZ)误差估计器用于后验误差估计。 EFGM解决方案。通过考虑EFGM解的先验收敛速度和估计的误差范数,提出了确定最优节点间距的自适应细化策略。还开发了一种简单的点网格生成方案,该方案使用预定义的模板在集成单元内部生成新节点以进行自适应优化。通过使用它来解决几个基准问题,对建议的优化过程的性能进行了测试。获得的数值结果表明,所建议的过程可以导致生成几乎最佳的网格,并且在很大程度上消除了问题域内奇异点的影响。随着网格的细化,恢复了EFGM分析的最佳收敛速度,Z-Z误差估计器的有效性指数也朝着理想的单位值收敛。

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