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Interaction of delaminations and matrix cracks in a CFRP plate, Part I: A test method for model validation
NASA Langley Research Center, US.
NASA Langley Research Center, US.
RISE - Research Institutes of Sweden, Swerea, Swerea SICOMP.
RISE - Research Institutes of Sweden, Swerea, Swerea SICOMP.
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2017 (English)In: Composites. Part A, Applied science and manufacturing, ISSN 1359-835X, E-ISSN 1878-5840, Vol. 103, p. 314-326Article in journal (Refereed) Published
Abstract [en]

Isolating and observing the damage mechanisms associated with low-velocity impact in composites using traditional experiments can be challenging, due to damage process complexity and high strain rates. In this work, a new test method is presented that provides a means to study, in detail, the interaction of common impact damage mechanisms, namely delamination, matrix cracking, and delamination-migration, in a context less challenging than a real impact event. Carbon fiber reinforced polymer specimens containing a thin insert in one region were loaded in a biaxial-bending state of deformation. As a result, three-dimensional damage processes, involving delaminations at no more than three different interfaces that interact with one another via transverse matrix cracks, were observed and documented using ultrasonic testing and X-ray computed tomography. The data generated by the test is intended for use in numerical model validation. Simulations of this test are included in Part II of this paper.

Place, publisher, year, edition, pages
2017. Vol. 103, p. 314-326
Keywords [en]
A. Laminates, B. Delamination, B. Transverse cracking, D. Mechanical testing, Carbon, Carbon fiber reinforced plastics, Computerized tomography, Cracks, Failure (mechanical), Fiber reinforced plastics, Laminates, Mechanical testing, Strain rate, Ultrasonic testing, Carbon fiber reinforced polymer, Damage mechanism, High strain rates, Low velocity impact, Model validation, Transverse cracking, Transverse matrix cracks, X-ray computed tomography, Delamination
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-33052DOI: 10.1016/j.compositesa.2017.09.011Scopus ID: 2-s2.0-85030465676OAI: oai:DiVA.org:ri-33052DiVA, id: diva2:1173136
Note

Funding details: Langley Research Center

Available from: 2018-01-11 Created: 2018-01-11 Last updated: 2018-01-11Bibliographically approved

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