2014
DOI: 10.1016/j.compositesb.2013.12.010
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Degradation monitoring of impact damaged carbon fibre reinforced polymers under fatigue loading with pulse phase thermography

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Cited by 34 publications
(7 citation statements)
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“…into intermediate layers [40]. Then, fatigue damage usually gener-754 ates further matrix cracks in the layers whose orientation is per-755 pendicular to the applied cycled loading [41]. Fig.…”
Section: Type Of Multilayer Specimen Materialsmentioning
confidence: 99%
“…into intermediate layers [40]. Then, fatigue damage usually gener-754 ates further matrix cracks in the layers whose orientation is per-755 pendicular to the applied cycled loading [41]. Fig.…”
Section: Type Of Multilayer Specimen Materialsmentioning
confidence: 99%
“…Most importantly, the technique is extremely versatile, as it can operate as stand-alone or complementary to other inspection methods [22,23]. The impact damage detectability of IRT depends on the thickness of the material, shape, dimensions, type of damage, and camera hardware sensitivity [24]. Although few previous studies have investigated combined the IRT and PA methods to characterize impact damages in CFRP composites [25][26][27][28], measurements in such studies have been performed with heavy equipment, which is unsuitable for deployment in the field and robotic applications or related to different engineering domains [29].…”
Section: Introductionmentioning
confidence: 99%
“…Active thermography is another commonly used technique that looks for damage‐induced thermal property variations in structures using infrared (IR) cameras with external heat sources. This technique has been applied to fatigue damage assessment of composite structures, 5,6 but the disadvantage is that it is not capable of continuous monitoring of real operating structures. The digital image correlation (DIC) technique allows real‐time and non‐contact interrogation of the surface displacement as well as strain distributions of composite structures under fatigue loadings 7,8 .…”
Section: Introductionmentioning
confidence: 99%