Critical analysis of adhesive layer behavior in patch-repaired carbon fiber-reinforced polymer panel involving digital image correlation.

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Title: Critical analysis of adhesive layer behavior in patch-repaired carbon fiber-reinforced polymer panel involving digital image correlation.
Authors: Kashfuddoja, Mohammad1, Ramji, M1 ramji_mano@iith.ac.in
Source: Journal of Composite Materials. Jul2015, Vol. 49 Issue 16, p2015-2028. 14p.
Subjects: Adhesives, Carbon fiber-reinforced plastics, Digital image processing, Debonding, Finite element method
Abstract: In the present work, critical strain field in thin adhesively layer of double-sided (symmetrical) patch-repaired carbon fiber-reinforced polymer composite panel under tensile load is investigated using digital image correlation technique. Longitudinal, peel, and shear-strain distribution in adhesive layer is analyzed thoroughly in repaired panel by performing global cum local strain field analysis involving digital image correlation. Effective load/shear transfer length in repair configuration is estimated based on global strain analysis, and further, it is compared with the one predicted from finite-element analysis. Localized strain analysis using magnified optics provides higher resolution, and it is found useful in revealing complex strain field in small but critical zones responsible for failure initiation. The global and local-strain analyses are found complementary to one another, and therefore both are essential to fully characterize the strain field in thin-adhesive layer. The critical failure mechanism is also investigated and correlated with the load-displacement behavior. DIC is found to be suitable and accurate for analyzing the global and local strain field over small but critical locations and helps in predicting the damage-initiation location based on strain anomalies. Finally, the experimental results are compared with the numerical predictions, and they are found to be in good correlation. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Composite Materials is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Critical analysis of adhesive layer behavior in patch-repaired carbon fiber-reinforced polymer panel involving digital image correlation.
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  Data: <searchLink fieldCode="AR" term="%22Kashfuddoja%2C+Mohammad%22">Kashfuddoja, Mohammad</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ramji%2C+M%22">Ramji, M</searchLink><relatesTo>1</relatesTo><i> ramji_mano@iith.ac.in</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Composite+Materials%22">Journal of Composite Materials</searchLink>. Jul2015, Vol. 49 Issue 16, p2015-2028. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Adhesives%22">Adhesives</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+fiber-reinforced+plastics%22">Carbon fiber-reinforced plastics</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+image+processing%22">Digital image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Debonding%22">Debonding</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In the present work, critical strain field in thin adhesively layer of double-sided (symmetrical) patch-repaired carbon fiber-reinforced polymer composite panel under tensile load is investigated using digital image correlation technique. Longitudinal, peel, and shear-strain distribution in adhesive layer is analyzed thoroughly in repaired panel by performing global cum local strain field analysis involving digital image correlation. Effective load/shear transfer length in repair configuration is estimated based on global strain analysis, and further, it is compared with the one predicted from finite-element analysis. Localized strain analysis using magnified optics provides higher resolution, and it is found useful in revealing complex strain field in small but critical zones responsible for failure initiation. The global and local-strain analyses are found complementary to one another, and therefore both are essential to fully characterize the strain field in thin-adhesive layer. The critical failure mechanism is also investigated and correlated with the load-displacement behavior. DIC is found to be suitable and accurate for analyzing the global and local strain field over small but critical locations and helps in predicting the damage-initiation location based on strain anomalies. Finally, the experimental results are compared with the numerical predictions, and they are found to be in good correlation. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Composite Materials is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/0021998314541312
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 14
        StartPage: 2015
    Subjects:
      – SubjectFull: Adhesives
        Type: general
      – SubjectFull: Carbon fiber-reinforced plastics
        Type: general
      – SubjectFull: Digital image processing
        Type: general
      – SubjectFull: Debonding
        Type: general
      – SubjectFull: Finite element method
        Type: general
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      – TitleFull: Critical analysis of adhesive layer behavior in patch-repaired carbon fiber-reinforced polymer panel involving digital image correlation.
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            NameFull: Kashfuddoja, Mohammad
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            – D: 01
              M: 07
              Text: Jul2015
              Type: published
              Y: 2015
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              Value: 49
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              Value: 16
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