scholarly journals Assessment of Embedded Fiber Bragg Gratings for Structural Health Monitoring of Composites

2015 ◽  
Author(s):  
MICHAEL TODD ◽  
MIKE YEAGER ◽  
CHRIS KEY ◽  
WILLIAM GREGORY
2016 ◽  
Vol 28 (9) ◽  
pp. 1211-1220 ◽  
Author(s):  
Pabitro Ray ◽  
Prabhu Rajagopal ◽  
Balaji Srinivasan ◽  
Krishnan Balasubramaniam

Harnessing of ultrasonic guided waves confined in local features such as bends and welds, known as feature-guided waves, has emerged as a promising technique for non-destructive testing and structural health monitoring of industrial and aerospace structures. This article introduces a fiber Bragg grating based technique which uses feature-guided waves to detect anomalies or defects in plate structures with transverse bends. We are able to obtain good consistency between simulation and experimental results, both in the case of defect-free bent plates and those with transverse defects. Such results establish fiber Bragg gratings as a viable alternative to conventional techniques for structural health monitoring of bent plates.


2016 ◽  
Vol 16 (3) ◽  
pp. 262-275 ◽  
Author(s):  
Mike Yeager ◽  
Michael Todd ◽  
William Gregory ◽  
Chris Key

This work provides a system-level investigation into the use of embedded fiber Bragg grating optical sensors as a viable sensing architecture for the structural health monitoring of composite structures. The practical aspects of the embedding process are documented for both carbon fiber–reinforced polymer and glass fiber–reinforced polymer structures manufactured by both oven vacuum bag and vacuum-assisted resin transfer method processes. Initially, embedded specimens were subject to long-term water submersion to verify performance in an underwater environment. A larger, more complex jointed specimen was also fabricated with a fully embedded sensor network of fiber Bragg gratings and subjected to incrementally induced bearing damage. Using commercially available interrogation hardware, a damage detection structural health monitoring algorithm was developed and deployed. The results permit statistically precise detection of low levels of connection damage in the composite specimen.


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