Please use this identifier to cite or link to this item:
Title: Adaptive analysis using the node-based smoothed finite element method (NS-FEM)
Authors: Nguyen-Thoi, T.
Liu, G.R. 
Nguyen-Xuan, H.
Nguyen-Tran, C.
Keywords: Adaptive analysis
Error indicator
Finite element method (FEM)
Meshfree methods
Node-based smoothed finite element method (NS-FEM)
Upper bound
Issue Date: Feb-2011
Citation: Nguyen-Thoi, T., Liu, G.R., Nguyen-Xuan, H., Nguyen-Tran, C. (2011-02). Adaptive analysis using the node-based smoothed finite element method (NS-FEM). International Journal for Numerical Methods in Biomedical Engineering 27 (2) : 198-218. ScholarBank@NUS Repository.
Abstract: The paper presents an adaptive analysis within the framework of the node-based smoothed finite element method (NS-FEM) using triangular elements. An error indicator based on the recovery strain is used and shown to be asymptotically exact by an effectivity index and numerical results. A simple refinement strategy using the newest node bisection is briefly presented. The numerical results of some benchmark problems show that the present adaptive procedure can accurately catch the appearance of the steep gradient of stresses and the occurrence of refinement is concentrated properly. The energy error norms of adaptive models for both NS-FEM and FEM obtain higher convergence rate compared with the uniformly refined models, but the results of NS-FEM are better and achieve higher convergence rate than those of FEM. The effectivity index of NS-FEM is also closer and approaches to unity faster than that of FEM. The upper bound property in the strain energy of NS-FEM is always verified during the adaptive procedure. © 2009 John Wiley & Sons, Ltd.
Source Title: International Journal for Numerical Methods in Biomedical Engineering
ISSN: 20407939
DOI: 10.1002/cnm.1291
Appears in Collections:Staff Publications

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


checked on Feb 18, 2019


checked on Feb 11, 2019

Page view(s)

checked on Feb 2, 2019

Google ScholarTM



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