2007
DOI: 10.1117/12.779392
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Evaluating damage in smart composite laminates using embedded EFPI strain sensors

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Cited by 5 publications
(5 citation statements)
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“…Generally speaking, the emphasis is put on the macroscopic consequences of these phenomena through the analysis of the damage-induced behavior. In addition to conventional straingauge data, some studies rely for instance on acoustic emissions monitoring [2,3], ultrasonic inspection [4,5], electrical resistance measurements [6,7], and even fiber sensors data [8,9].…”
Section: Introductionmentioning
confidence: 99%
“…Generally speaking, the emphasis is put on the macroscopic consequences of these phenomena through the analysis of the damage-induced behavior. In addition to conventional straingauge data, some studies rely for instance on acoustic emissions monitoring [2,3], ultrasonic inspection [4,5], electrical resistance measurements [6,7], and even fiber sensors data [8,9].…”
Section: Introductionmentioning
confidence: 99%
“…The efficiency of optical fiber sensors to continuously monitor structure deformation and reinforcement cracks depends mainly on strength transfer at the interface level between the embedded optical fiber and the composite structure [ 7 , 8 ]. In order to assess mechanical properties at interface level and composites performance, certain testing, such as the pull-out test, has been developed [ 9 , 10 ].…”
Section: Introductionmentioning
confidence: 99%
“…In numerous structural applications, optical fibre embedded composites based on polymeric matrices with glass or carbon reinforcements [1,2] are recommended for structural health monitoring. Monitoring in real time the structural integrity using optical fibre sensors is linked with the strength transfer at the interface between the composite structure and the optical fibre [3,4]. Despite the significant progress in fabrication technology, reliability of optical fibres for sensors and smart structures still appears as a major factor [5,6].…”
Section: Introductionmentioning
confidence: 99%