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Experimental Analysis of Repaired Zones in Composite Structures Using Digital Image Correlation

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Book cover Composite, Hybrid, and Multifunctional Materials, Volume 4

Abstract

Reliable understanding of load transfer in repaired zones of composite structures is needed for optimization of repair solutions and enhancement of post-repair behavior. Specific interest is in the analysis of local stress-strain states of composite repair, where digital image correlation (DIC) technique seems to be especially helpful. Thus, the objective is to develop and demonstrate a DIC-based experimental approach for analysis of repaired zones in composite structures including characterization of damage initiation and growth. The approach is based on experimental analysis of through-thickness distributions of internal strains as a function of applied load. Corresponding test coupons are either cut from actual repaired structures or specifically manufactured to represent topology, geometry, lay-up and properties of repaired structures. Demonstration of the approach is considered on an example of generic laminated carbon fiber composites IM7-977-3 with different lay-ups and geometrical configurations of repaired solutions. It is shown that distributions of internal strains, areas of strain concentrations, locations of damage initiation, and processes of damage growth can be experimentally observed and quantified with good accuracy.

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Acknowledgement

The authors thank the United Technologies Research Center for support of this study and permission for publication.

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Correspondence to Mark R. Gurvich .

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© 2015 The Society for Experimental Mechanics, Inc.

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Gurvich, M.R., Clavette, P.L., Jagdale, V.N. (2015). Experimental Analysis of Repaired Zones in Composite Structures Using Digital Image Correlation. In: Tandon, G. (eds) Composite, Hybrid, and Multifunctional Materials, Volume 4. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-06992-0_12

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  • DOI: https://doi.org/10.1007/978-3-319-06992-0_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06991-3

  • Online ISBN: 978-3-319-06992-0

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