2017
DOI: 10.1080/19475411.2017.1298220
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Crack monitoring using multiple smart materials; fiber-optic sensors & piezo sensors

Abstract: This article focuses on health monitoring of structures using multiple smart materials. In this research, two fiber-optic sensors, namely fiber Bragg grating (FBG) and fiber-optic polarimetric sensor (FOPS), are investigated for damage detection in the beam specimen. FBG is used for local strain measurement while FOPS is used for global strain measurement. Both FBG and FOPS show significant changes in the strain due to damages in the specimen. Also, at the center of the specimen, piezoelectric wafer active sen… Show more

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Cited by 23 publications
(14 citation statements)
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“…Authors developed u-Texture, a self-organizable, universal panel that can change its own behaviour autonomously through the recognition of its location, its inclination and surrounding environment by assembling these factors physically [112]. Smart material can be used also as actuators [113] or fiber-optic or piezo sensors to monitor cracks [114], or to form a complex warehouse application, e.g., for mobile robots [115].…”
Section: Technological Achievements Of the Smart Entities Embedded Inmentioning
confidence: 99%
“…Authors developed u-Texture, a self-organizable, universal panel that can change its own behaviour autonomously through the recognition of its location, its inclination and surrounding environment by assembling these factors physically [112]. Smart material can be used also as actuators [113] or fiber-optic or piezo sensors to monitor cracks [114], or to form a complex warehouse application, e.g., for mobile robots [115].…”
Section: Technological Achievements Of the Smart Entities Embedded Inmentioning
confidence: 99%
“…Apart from the strain and separation measurements, we can extend metamaterials to various studies such as crack, damage, corrosion, and static and dynamic load monitoring. They can co-exist with FO based technologies that are mostly adopted for large engineering infrastructures [10,14,97].…”
Section: Non-fo Smart Materials: Metamaterialsmentioning
confidence: 99%
“…This RMSD sensitivity index provides quantitative differences between the output signals obtained at a baseline condition and those obtained at later stages. The quantity is a major yardstick for measuring sensitivity in CMA engineering [10,12,112,113,114,115]. This RMSD is given as RMSD false(%false)=truei=1N([yi]jxi)2/truei=1Nxi2 × 100 where i = 1, 2, 3…, N represents sampling data points in the considered microwave band.…”
Section: Our Lsp Sensormentioning
confidence: 99%
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