TY - JOUR
T1 - Well-conditioning global–local analysis using stable generalized/extended finite element method for linear elastic fracture mechanics
AU - Malekan, Mohammad
AU - Barros, Felicio Bruzzi
N1 - Funding Information:
The authors wish to express their sincere appreciation to Prof. C.A. Duarte for his constructive comments on the numerical results. The authors also gratefully acknowledge the important support of the Brazilian research agencies CNPq (National Council for Scientific and Technological Developments - Grants 486959/2013-9 and 309005/2013-2) and CAPES (Coordination for the Improvement of Higher Education Personnel).
Publisher Copyright:
© 2016, Springer-Verlag Berlin Heidelberg.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - Using the locally-enriched strategy to enrich a small/local part of the problem by generalized/extended finite element method (G/XFEM) leads to non-optimal convergence rate and ill-conditioning system of equations due to presence of blending elements. The local enrichment can be chosen from polynomial, singular, branch or numerical types. The so-called stable version of G/XFEM method provides a well-conditioning approach when only singular functions are used in the blending elements. This paper combines numeric enrichment functions obtained from global–local G/XFEM method with the polynomial enrichment along with a well-conditioning approach, stable G/XFEM, in order to show the robustness and effectiveness of the approach. In global–local G/XFEM, the enrichment functions are constructed numerically from the solution of a local problem. Furthermore, several enrichment strategies are adopted along with the global–local enrichment. The results obtained with these enrichments strategies are discussed in detail, considering convergence rate in strain energy, growth rate of condition number, and computational processing. Numerical experiments show that using geometrical enrichment along with stable G/XFEM for global–local strategy improves the convergence rate and the conditioning of the problem. In addition, results shows that using polynomial enrichment for global problem simultaneously with global–local enrichments lead to ill-conditioned system matrices and bad convergence rate.
AB - Using the locally-enriched strategy to enrich a small/local part of the problem by generalized/extended finite element method (G/XFEM) leads to non-optimal convergence rate and ill-conditioning system of equations due to presence of blending elements. The local enrichment can be chosen from polynomial, singular, branch or numerical types. The so-called stable version of G/XFEM method provides a well-conditioning approach when only singular functions are used in the blending elements. This paper combines numeric enrichment functions obtained from global–local G/XFEM method with the polynomial enrichment along with a well-conditioning approach, stable G/XFEM, in order to show the robustness and effectiveness of the approach. In global–local G/XFEM, the enrichment functions are constructed numerically from the solution of a local problem. Furthermore, several enrichment strategies are adopted along with the global–local enrichment. The results obtained with these enrichments strategies are discussed in detail, considering convergence rate in strain energy, growth rate of condition number, and computational processing. Numerical experiments show that using geometrical enrichment along with stable G/XFEM for global–local strategy improves the convergence rate and the conditioning of the problem. In addition, results shows that using polynomial enrichment for global problem simultaneously with global–local enrichments lead to ill-conditioned system matrices and bad convergence rate.
KW - Blending element
KW - Condition number
KW - Global–local
KW - Partition of unity
KW - Stable generalized/eXtended FEM
UR - http://www.scopus.com/inward/record.url?scp=84980000231&partnerID=8YFLogxK
U2 - 10.1007/s00466-016-1318-7
DO - 10.1007/s00466-016-1318-7
M3 - Journal article
AN - SCOPUS:84980000231
SN - 0178-7675
VL - 58
SP - 819
EP - 831
JO - Computational Mechanics
JF - Computational Mechanics
IS - 5
ER -