2024
DOI: 10.3390/applmech5010003
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A Structural Health Monitoring System for Bond Line Flaws Detection on a Full-Scale Wingbox Section Demonstrator

Lorenzo Pellone,
Monica Ciminello,
Umberto Mercurio
et al.

Abstract: In recent years, there has been a significant increase in the use of structural health monitoring (SHM) technologies as systems for monitoring the integrity of aircraft’s structures. The use of compact and embeddable sensor networks, like the ones based on fibre optics (FO), is particularly attractive from the perspective of releasing an integrated structural system with intrinsic sensing capacity. Usually, an SHM system architecture is completed by a dedicated algorithm that processes the data gathered from t… Show more

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“…Consequently, monitoring the structural integrity of retrofitted structural elements is deemed beneficial for safely extending their service life. Numerous researchers have delved into the realm of Structural Health Monitoring (SHM) techniques applicable to concrete elements [34][35][36]. However, investigations specifically targeting the SHM of fiber-reinforced concrete incorporating dispersed synthetic macrofibers [37,38], FRP composites [39][40][41], and studies focusing on C-FRP-reinforced structural elements are relatively scarce in the literature [42][43][44][45].…”
Section: Proposed Innovation and Aim Of The Studymentioning
confidence: 99%
“…Consequently, monitoring the structural integrity of retrofitted structural elements is deemed beneficial for safely extending their service life. Numerous researchers have delved into the realm of Structural Health Monitoring (SHM) techniques applicable to concrete elements [34][35][36]. However, investigations specifically targeting the SHM of fiber-reinforced concrete incorporating dispersed synthetic macrofibers [37,38], FRP composites [39][40][41], and studies focusing on C-FRP-reinforced structural elements are relatively scarce in the literature [42][43][44][45].…”
Section: Proposed Innovation and Aim Of The Studymentioning
confidence: 99%