Embedded and Surface-Mounted Fiber Bragg Grating as a Multiparameter Sensor in Fiber-Reinforced Polymer Composite Materials: A Review

Musa, Siti Musliha Aishah; Dzulkifli, Mohd Haziq; Azmi, Asrul Izam; Ibrahim, Siti Azlida

doi:10.1109/access.2023.3304679

Cited by 1 publication

(1 citation statement)

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“…Optical fiber SHM methods, such as fiber Bragg grating (FBG), have been shown to reliably monitor strain for composites [14,15]. Small-diameter FBG wires, as small as 52 microns, can be embedded within a composite without deteriorating the mechanical properties [16].…”

Section: Introductionmentioning

confidence: 99%

Low-cost sensor-based damage localization for large-area monitoring of FRP composites

Demo,

Tronci,

Nieduzak

et al. 2024

Smart Mater. Struct.

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In recent years, there has been growing interest in self-sensing structural materials across research and industry sectors. Detecting and locating structural damage typically requires numerous sensors wired to a data acquisition (DAQ) circuit, rendering implementation impractical in real structures. This paper proposes an innovative, cost-effective sensor network for damage detection and localization in fiber-reinforced polymer composites. The innovation encompasses three key elements: (1) utilizing carbon fiber tows within the composite as piezoresistive sensors, eliminating the need for additional foreign sensor devices; (2) introducing a novel sensor layout wherein sensor tow branches with varied resistance values are connected in parallel, reducing the number of connections to the DAQ circuit and cutting manufacturing costs significantly; (3) developing a practical sensor terminal fabrication technique to minimize manufacturing expenses. The proposed design methodology for the branch resistance values is first validated using a demonstration panel. Subsequently, the overall strategy is assessed by conducting impact tests on carbon and glass fiber-reinforced composite specimens. Results validate the sensor’s ability to accurately detect and locate structural damage.

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Section: Introductionmentioning

confidence: 99%