TY - JOUR
T1 - Peridynamics enabled digital image correlation for tracking crack paths
AU - Madenci, Erdogan
AU - Yaghoobi, Amin
AU - Barut, Atila
AU - Phan, Nam
AU - Iliopoulos, Athanasios
AU - Michopoulos, John G.
N1 - Funding Information:
E. Madenci would like to acknowledge the support from the MURI Center for Material Failure Prediction through Peridynamics at the University of Arizona (AFOSR Grant No. FA9550-14-1-0073). A. Iliopoulos and J. Michopoulos would like to acknowledge the support from the Office of Naval Research through US Naval Research laboratory’s core funding.
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
PY - 2023/2
Y1 - 2023/2
N2 - This study combines peridynamic differential operator (PDDO), digital image correlation (DIC) and the Strain Compatibility Functional (SCF) method to track crack paths. DIC provides the full-field displacements at pixel accuracy by matching digital image sub-region of the specimen surface before and after deformation using correlation functions. The PDDO is applied to the deformation field to determine the strain field and the associated SCF. In presence of a crack, the strain field of a deformed body does not satisfy the strain compatibility condition due to the crack-induced discontinuity. Following the SCF method, a regression technique is applied in the region where the strain compatibility is violated to determine the crack presence, shape and its resulting path. The accuracy of this approach is first verified by considering three different DIC challenge data sets presented by the Society of Experimental Mechanics (SEM). Concerning crack path detection, the approach is first applied to the numerically generated deformation fields corresponding to pre-existing crack configurations. Subsequently, it is applied to the measured deformation fields corresponding to experimentally induced crack propagation. All these examples indicate that the present approach successfully detects the crack paths.
AB - This study combines peridynamic differential operator (PDDO), digital image correlation (DIC) and the Strain Compatibility Functional (SCF) method to track crack paths. DIC provides the full-field displacements at pixel accuracy by matching digital image sub-region of the specimen surface before and after deformation using correlation functions. The PDDO is applied to the deformation field to determine the strain field and the associated SCF. In presence of a crack, the strain field of a deformed body does not satisfy the strain compatibility condition due to the crack-induced discontinuity. Following the SCF method, a regression technique is applied in the region where the strain compatibility is violated to determine the crack presence, shape and its resulting path. The accuracy of this approach is first verified by considering three different DIC challenge data sets presented by the Society of Experimental Mechanics (SEM). Concerning crack path detection, the approach is first applied to the numerically generated deformation fields corresponding to pre-existing crack configurations. Subsequently, it is applied to the measured deformation fields corresponding to experimentally induced crack propagation. All these examples indicate that the present approach successfully detects the crack paths.
KW - Crack(s)
KW - Digital image correlation
KW - Peridynamics differential operator
KW - Regression
KW - Strain compatibility
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U2 - 10.1007/s00366-021-01592-4
DO - 10.1007/s00366-021-01592-4
M3 - Article
AN - SCOPUS:85124735865
SN - 0177-0667
VL - 39
SP - 517
EP - 543
JO - Engineering with Computers
JF - Engineering with Computers
IS - 1
ER -