2019
DOI: 10.1016/j.ijsolstr.2018.08.010
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Mixed-mode cohesive zone parameters from integrated digital image correlation on micrographs only

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Cited by 14 publications
(8 citation statements)
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“…The importance of using load data to identify a mixed-mode CZM for a composite was highlighted in another study [32]. Conversely, mixed-mode CZMs were calibrated without the need for force data, only using the images of the experiment on a microelectronic device [33].…”
Section: Introductionmentioning
confidence: 99%
“…The importance of using load data to identify a mixed-mode CZM for a composite was highlighted in another study [32]. Conversely, mixed-mode CZMs were calibrated without the need for force data, only using the images of the experiment on a microelectronic device [33].…”
Section: Introductionmentioning
confidence: 99%
“…Specifically note-worthy is the fine tuning done in [26][27][28], where time-Integrated Digital Image Correlation algorithms are proposed exploiting the periodicity of the deformation to simultaneously correlate all images at once to stabilize the correlation and identify material parameters with high sensitivity, by further increasing the ratio of measurement points to DOFs. Where in [27] this algorithm was only validated on synthetically generated images, the strength of this method was later demonstrated on experimental images, for instance for the challenging test case of identifying insensitive mixed-mode interface adhesion properties [29,30]. In [28], this concept was again proven to be valuable for vibrational analysis, while in an earlier more specific paper a time-integrated algorithm tuned to periodic motion has been validated for fatigue testing [26].…”
Section: Introductionmentioning
confidence: 99%
“…This type of analysis will also be used herein to guide the calibration procedure. Last, in a very recent paper, Ruybalid et al [43] calibrated a mixed-mode CZM using only micrographs, without coupling force data. In the present analysis, the load data will be the primary information used for calibrating the sought parameters.…”
Section: Introductionmentioning
confidence: 99%