Fiber Optic Sensor Embedment Study for Multi-Parameter Strain Sensing.

Monssef Drissi-Habti,Safiullah Timorian,Venkadesh Raman,Aghiad Khadour

doi:10.3390/s17040667

Monssef Drissi-Habti, Safiullah Timorian + Show 2 more

Open Access

https://doi.org/10.3390/s17040667

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Abstract

The fiber optic sensors (FOSs) are commonly used for large-scale structure monitoring systems for their small size, noise free and low electrical risk characteristics. Embedded fiber optic sensors (FOSs) lead to micro-damage in composite structures. This damage generation threshold is based on the coating material of the FOSs and their diameter. In addition, embedded FOSs are aligned parallel to reinforcement fibers to avoid micro-damage creation. This linear positioning of distributed FOS fails to provide all strain parameters. We suggest novel sinusoidal sensor positioning to overcome this issue. This method tends to provide multi-parameter strains in a large surface area. The effectiveness of sinusoidal FOS positioning over linear FOS positioning is studied under both numerical and experimental methods. This study proves the advantages of the sinusoidal positioning method for FOS in composite material’s bonding.

Highlights

The structural maintenance of large civil, aeronautic and wind turbine structures is difficult to establish with periodic verification methods
The results were mainly concentrated in epoxy, which surrounds the fiber optic sensors (FOSs), because the stress concentration is high in this area
The strain observed in the epoxy is assumed as the strain seen by the fiber optics; because the host material provides the external stress to the FOS structure to modify the wavelength or the travel time of the waves

Summary

Introduction

The structural maintenance of large civil, aeronautic and wind turbine structures is difficult to establish with periodic verification methods. Maintenance works of these structures are conducted by non-destructive testing (NDT) most of the time [1]. Material development in these sectors demands high technology equipment and qualified man power, which increase the maintenance process cost. The real-time monitoring method provides the structural behavior and eases the maintenance work. This method is called structural health monitoring (SHM). SHM offers robust real-time monitoring, because necessary maintenance or repairs could be addressed based on this technology [1]

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