2008
DOI: 10.1243/09544062jmes782
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Influence of selectable parameters in element-free Galerkin method: One-dimensional bar axially loaded problem

Abstract: Meshless methods (MMs) have become interesting and promising methods in solving partial differential equations, because of their flexibility in practical applications when compared with the standard finite-element method (e.g. crack propagation, large deformations, and so on). Implementation of these methods requires a good understanding of the influence of some specific selectable parameters. In this article, those parameters are analysed for one of the most popular MMs, the element-free Galerkin method, cons… Show more

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Cited by 11 publications
(14 citation statements)
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“…This benchmark of meshless analysis has been discussed in-depth in the literature, see Dolbow and Belytschko [15], Liu and Gu [17] or Valencia et al [18]. The boundary where essential conditions are prescribed is a single node; therefore, the displacement at this node can be directly enforced if interpolating MLS shape functions are used.…”
Section: One-dimensional Rod Elastostatic Analysismentioning
confidence: 99%
“…This benchmark of meshless analysis has been discussed in-depth in the literature, see Dolbow and Belytschko [15], Liu and Gu [17] or Valencia et al [18]. The boundary where essential conditions are prescribed is a single node; therefore, the displacement at this node can be directly enforced if interpolating MLS shape functions are used.…”
Section: One-dimensional Rod Elastostatic Analysismentioning
confidence: 99%
“…The highlighted limitation is that the numerical accuracy varied with the change of the scaling parameters, i.e., d max , which has been sighted by the numerical studies introduced in the next section and other works. 16,17…”
Section: Mls Approximationmentioning
confidence: 99%
“…Valencia et al. 16,17 analyzed a one-dimensional (1D) bar axially loaded and a beam under bending to understand the influences of the characteristic parameters on the accuracy and computational effort of the method. Valencia et al.…”
Section: Introductionmentioning
confidence: 99%
“…The weak form of the problem's governing equation considering a Galerkin implementation is shown in Valencia et al 13 Z…”
Section: Elastostatic Equations Solved Using Bernstein Shape Functionsmentioning
confidence: 99%
“…Parameter n is increased from 2 to 10. MLS parameter d max to define the size of the domain support 13 is taken 2.0, 2.5, 3.0, 3.5 and 4.0 for each pattern. Four different fixed background meshes for integration are tested, from 2 Â 2 to 8Â 8 cells, with 4 Â 4 integration points per cell.…”
Section: Standard Patch Testmentioning
confidence: 99%