Please use this identifier to cite or link to this item: https://doi.org/10.1080/00207160.2010.539682
Title: An adaptive edge-based smoothed point interpolation method for mechanics problems
Authors: Chen, L. 
Zhang, G.Y. 
Zhang, J. 
Nguyen-Thoi, T.
Tang, Q.
Keywords: adaptive analysis
edge-based smoothed point interpolation methods
error indicator
local refinement
meshfree method
numerical method
strain smoothing
Issue Date: Jul-2011
Citation: Chen, L., Zhang, G.Y., Zhang, J., Nguyen-Thoi, T., Tang, Q. (2011-07). An adaptive edge-based smoothed point interpolation method for mechanics problems. International Journal of Computer Mathematics 88 (11) : 2379-2402. ScholarBank@NUS Repository. https://doi.org/10.1080/00207160.2010.539682
Abstract: This paper develops a smoothing domain-based energy (SDE) error indicator and an efficient adaptive procedure using edge-based smoothed point interpolation methods (ES-PIM), in which the strain field is constructed via the generalized smoothing operation over smoothing domains associated with edges of three-node triangular background cells. Because the ES-PIM can produce a close-to-exact stiffness and achieve 'super-convergence' and 'ultra-accurate' solutions, it is an ideal candidate for adaptive analysis. A SDE error indicator is first devised to make use of the features of the ES-PIM. A local refinement technique based on the Delaunay algorithm is then implemented to achieve high efficiency. The refinement of nodal neighbourhood is accomplished simply by adjusting a scaling factor assigned to control local nodal density. Intensive numerical studies, including the problems with stress concentration and solution singularity, demonstrate that the proposed adaptive procedure is effective and efficient in producing solutions with desired accuracy. © 2011 Taylor & Francis.
Source Title: International Journal of Computer Mathematics
URI: http://scholarbank.nus.edu.sg/handle/10635/50821
ISSN: 00207160
DOI: 10.1080/00207160.2010.539682
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.