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On error estimation and adaptive refinement for element free Galerkin method Part Ⅰ: stress recovery and a posteriori error estimation

机译:无元素Galerkin方法的误差估计和自适应细化第一部分:应力恢复和后验误差估计

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In this study, an adaptive refinement procedure using the element free Galerkin method (EFGM) for the solution of 2D elastostatic problem is suggested. This refinement procedure is based on the well-known Zienkiewicz and Zhu (Z-Z) error estimator for the a posteriori error estimation and a simple point refinement scheme for new point mesh generation. The presentation of the work is divided into two parts. In Part Ⅰ, concentration will be paid on the stress recovery and the a posteriori error estimation processes for the EFGM. A comprehensive study on the theories and natures of some commonly used recovery schemes for the EFGM is given. The essential features and relationships among the studied recovery schemes are highlighted. It will be demonstrated that all these recovery schemes are particular cases of a general recovery scheme called the weighed continuous moving-least-square over stationary least square (MLS-SLS) recovery scheme. A numerical experience has also been carried out to study the performances of a number of different MLS-SLS recovery procedures generated by applying different fitting parameters to the continuous MLS-SLS recovery scheme. In Part Ⅱ of the study, attention will be focused on the mesh refinement and the development of the adaptive algorithms for the proposed automatic adaptive EFGM procedure.
机译:在这项研究中,提出了一种使用无元素Galerkin方法(EFGM)的自适应细化程序来解决2D弹性静力学问题。该改进过程基于后验误差估计的著名Zienkiewicz和Zhu(Z-Z)误差估计器以及用于生成新点网格的简单点改进方案。作品的介绍分为两个部分。在第一部分中,将集中于EFGM的应力恢复和后验误差估计过程。对EFGM一些常用回收方案的理论和性质进行了全面的研究。突出显示了所研究的恢复方案之间的基本特征和关系。将证明所有这些恢复方案都是通用恢复方案的特殊情况,该方案称为加权连续最小二乘法(MLS-SLS)恢复方案。通过将不同的拟合参数应用于连续MLS-SLS恢复方案,还产生了数值经验来研究许多不同的MLS-SLS恢复程序的性能。在研究的第二部分中,注意力将集中在所提出的自动自适应EFGM程序的网格细化和自适应算法的开发上。

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