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Automating XFEM Modeling Process for Optimal Failure Predictions
Joint Authors
Elruby, A. Y.
Nakhla, Sam
Hussein, A.
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-07
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The eXtended Finite Element Method (XFEM) is a versatile method for solving crack propagation problems.
Meanwhile, XFEM predictions for crack onset and propagation rely on the stress field which tends to converge at a slower rate than that of displacements, making it challenging to capture critical load at crack onset accurately.
Furthermore, identifying the critical region(s) for XFEM nodal enrichments is user-dependent.
The identification process can be straightforward for small-scale test specimen while in other cases such as complex structures it can be unmanageable.
In this work a novel approach is proposed with three major objectives; (1) alleviate user-dependency; (2) enhance predictions accuracy; (3) minimize computational effort.
An automatic critical region(s) identification based on material selected failure criterion is developed.
Moreover, the approach enables the selection of optimized mesh necessary for accurate prediction of failure loads at crack initiation.
Also, optimal enrichment zone size determination is automated.
The proposed approach was developed as an iterative algorithm and implemented in ABAQUS using Python scripting.
The proposed algorithm was validated against our test data of unnotched specimens and relevant test data from the literature.
The results of the predicted loads/displacements at failure are in excellent agreement with measurements.
Crack onset locations were in very good agreement with observations from testing.
Finally, the proposed algorithm has shown a significant enhancement in the overall computational efficiency compared to the conventional XFEM.
The proposed algorithm can be easily implemented into user-built or commercial finite element codes.
American Psychological Association (APA)
Elruby, A. Y.& Nakhla, Sam& Hussein, A.. 2018. Automating XFEM Modeling Process for Optimal Failure Predictions. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1205743
Modern Language Association (MLA)
Elruby, A. Y.…[et al.]. Automating XFEM Modeling Process for Optimal Failure Predictions. Mathematical Problems in Engineering No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1205743
American Medical Association (AMA)
Elruby, A. Y.& Nakhla, Sam& Hussein, A.. Automating XFEM Modeling Process for Optimal Failure Predictions. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1205743
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205743