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Automatic crack tip detection and stress intensity factors estimation of curved cracks from digital images
Author(s) -
Réthoré J.
Publication year - 2015
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.4905
Subject(s) - stress intensity factor , curvature , robustness (evolution) , finite element method , regularization (linguistics) , fracture mechanics , digital image correlation , structural engineering , stress field , kinematics , computer science , mathematics , materials science , engineering , geometry , artificial intelligence , physics , composite material , biochemistry , chemistry , classical mechanics , gene
Summary With the development of full‐field measurement techniques, it has been possible to analyze crack propagation experimentally with an increasing level of robustness. However, the analysis of curved cracks is made difficult and almost unexplored because the possible analysis domain size decreases with crack curvature, leading to an increasing uncertainty level. This paper proposes a digital image correlation technique, augmented by an elastic regularization, combining finite element kinematics on an adapted mesh and a truncated Williams' expansion. Through the analysis of two examples, the proposed technique is shown to be able to address the experimental problems of crack tip detection and stress intensity factors estimation along a curved crack path. Copyright © 2015 John Wiley & Sons, Ltd.