On error estimation and adaptive refinement for element free Galerkin method part I : stress recovery and a posteriori error estimation
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 po...
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sg-ntu-dr.10356-1032902020-03-07T11:45:54Z On error estimation and adaptive refinement for element free Galerkin method part I : stress recovery and a posteriori error estimation Lee, Chi King Zhou, C. E. School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Structures and design 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. Accepted version 2014-04-09T05:20:25Z 2019-12-06T21:09:12Z 2014-04-09T05:20:25Z 2019-12-06T21:09:12Z 2003 2003 Journal Article Lee, C. K., & Zhou, C. E. (2004). On error estimation and adaptive refinement for element free Galerkin method: Part I: stress recovery and a posteriori error estimation. Computers & Structures, 82(4-5), 413-428. 0045-7949 https://hdl.handle.net/10356/103290 http://hdl.handle.net/10220/19182 10.1016/j.compstruc.2003.10.018 en Computers & structures © 2004 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Computers & Structures, Elsevier. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [Article DOI: http://dx.doi.org/10.1016/j.compstruc.2003.10.018]. 31 p. application/pdf |
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DRNTU::Engineering::Civil engineering::Structures and design Lee, Chi King Zhou, C. E. On error estimation and adaptive refinement for element free Galerkin method part I : stress recovery and a posteriori error estimation |
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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. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Lee, Chi King Zhou, C. E. |
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Article |
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Lee, Chi King Zhou, C. E. |
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Lee, Chi King |
title |
On error estimation and adaptive refinement for element free Galerkin method part I : stress recovery and a posteriori error estimation |
title_short |
On error estimation and adaptive refinement for element free Galerkin method part I : stress recovery and a posteriori error estimation |
title_full |
On error estimation and adaptive refinement for element free Galerkin method part I : stress recovery and a posteriori error estimation |
title_fullStr |
On error estimation and adaptive refinement for element free Galerkin method part I : stress recovery and a posteriori error estimation |
title_full_unstemmed |
On error estimation and adaptive refinement for element free Galerkin method part I : stress recovery and a posteriori error estimation |
title_sort |
on error estimation and adaptive refinement for element free galerkin method part i : stress recovery and a posteriori error estimation |
publishDate |
2014 |
url |
https://hdl.handle.net/10356/103290 http://hdl.handle.net/10220/19182 |
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1681034507024596992 |