Development of Health Monitoring Method for Solar Array Panel using Optical Fiber Sensors

2016 ◽  
Vol 64 (1) ◽  
pp. 6-12 ◽  
Author(s):  
Kazushi SEKINE ◽  
Michihito MATSUMOTO ◽  
Hajime TAKEYA ◽  
Hiromi SEKO ◽  
Yuki KOBAYASHI ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Health Monitoring ◽  
Optical Fiber Sensors ◽  
Solar Array ◽  
Monitoring Method ◽  
Fiber Sensors

scholarly journals A Review of Recent Distributed Optical Fiber Sensors Applications for Civil Engineering Structural Health Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1818
Author(s):  
Mattia Francesco Bado ◽  
Joan R. Casas
Keyword(s):  
Structural Health Monitoring ◽  
Optical Fiber ◽  
Health Monitoring ◽  
Optical Fiber Sensors ◽  
Vibration Monitoring ◽  
Fiber Sensors ◽  
Structural Health ◽  
Comprehensive Collection ◽  
Monitoring Tools ◽  
Distributed Optical Fiber

The present work is a comprehensive collection of recently published research articles on Structural Health Monitoring (SHM) campaigns performed by means of Distributed Optical Fiber Sensors (DOFS). The latter are cutting-edge strain, temperature and vibration monitoring tools with a large potential pool, namely their minimal intrusiveness, accuracy, ease of deployment and more. Its most state-of-the-art feature, though, is the ability to perform measurements with very small spatial resolutions (as small as 0.63 mm). This review article intends to introduce, inform and advise the readers on various DOFS deployment methodologies for the assessment of the residual ability of a structure to continue serving its intended purpose. By collecting in a single place these recent efforts, advancements and findings, the authors intend to contribute to the goal of collective growth towards an efficient SHM. The current work is structured in a manner that allows for the single consultation of any specific DOFS application field, i.e., laboratory experimentation, the built environment (bridges, buildings, roads, etc.), geotechnical constructions, tunnels, pipelines and wind turbines. Beforehand, a brief section was constructed around the recent progress on the study of the strain transfer mechanisms occurring in the multi-layered sensing system inherent to any DOFS deployment (different kinds of fiber claddings, coatings and bonding adhesives). Finally, a section is also dedicated to ideas and concepts for those novel DOFS applications which may very well represent the future of SHM.

GROWTH MONITORING OF DELAMINATION AND ADHESIVE DEBONDING OF CFRP STRUCTURES BY RAYLEIGH SCATTING-BASED DISTRIBUTION SENSORS

2021 ◽  
Author(s):  
KAZUKI OHNISHI ◽  
TATSURO KOSAKA ◽  
GENKO FUJIOKA
Keyword(s):  
Optical Fiber ◽  
Strain Distribution ◽  
Rayleigh Scattering ◽  
Adhesive Layer ◽  
Optical Fiber Sensors ◽  
Surface Strain ◽  
Growth Monitoring ◽  
Monitoring Method ◽  
Fiber Sensors ◽  
Measured Strain

Since delamination of CFRP laminates is generated by impact or fatigue in aircraft operation, identification method of the delamination is a very important technology to ensure safety of aircraft. Recently, built-in sensors are paid attention as a real-time monitoring method of initiation and growth of delamination. Optical fiber sensors are promised as built-in sensors of FRP due to their high strength, durability and embeddability. In this paper, we applied a Rayleigh scattering-based distribution sensor to detect delamination and debonding of CFRP structures. This optical fiber sensor can measure strain distribution along a fiber with wide area range, high spatial and strain resolutions. The optical fiber sensors attached on the surface of laminates were used to detect delamination and adhesive debonding of DCB, ENF and SLJ (single lap joint) specimens. Pre-crack were formed by inserting a Teflon films between the layers or the laminate and adhesive layer during manufacturing. The experimental results of DCB tests showed that the position of delamination edge could be identified precisely from the measured sharp peak of strain distribution. From the results of ENF tests, it appeared that the strain distribution showed the maximum at the delamination edge and the detected delamination edge positions agreed very well with the observed positions. The measured strain distributions were almost same as simulated results by FEM. From the tensile test results of SLJ specimen, it appeared that strain distribution showed extremum at debonding edge. It was also shown that the measured strain distribution agreed well with simulated results by FEM. From the above results, it appeared that the open delamination and debonding could be easily identified from surface strain distribution measured by the Rayleigh scattering-based sensor.

scholarly journals Structural Health Monitoring Using Textile Reinforcement Structures with Integrated Optical Fiber Sensors

Sensors ◽  
2017 ◽  
Vol 17 (2) ◽  
pp. 345 ◽  
Author(s):  
Kort Bremer ◽  
Frank Weigand ◽  
Yulong Zheng ◽  
Lourdes Alwis ◽  
Reinhard Helbig ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Optical Fiber ◽  
Health Monitoring ◽  
Optical Fiber Sensors ◽  
Fiber Sensors ◽  
Structural Health ◽  
Integrated Optical

scholarly journals Optical fiber sensors based on sol–gel materials: design, fabrication and application in concrete structures

2021 ◽  
Author(s):  
Rita B. Figueira ◽  
José M. de Almeida ◽  
Bárbara Ferreira ◽  
Luís Coelho ◽  
Carlos J. R. Silva
Keyword(s):  
Structural Health Monitoring ◽  
Optical Fiber ◽  
Health Monitoring ◽  
State Of The Art ◽  
Sol Gel ◽  
Concrete Structures ◽  
Materials Design ◽  
Optical Fiber Sensors ◽  
The State ◽  
Fiber Sensors

This review provides an overview of the state-of-the-art of OFS based on sol–gel materials for diverse applications with particular emphasis on OFS for structural health monitoring of concrete structures.

scholarly journals Post-processing algorithms for distributed optical fiber sensing in structural health monitoring applications

2020 ◽  
pp. 147592172092155 ◽  
Author(s):  
Mattia Francesco Bado ◽  
Joan Ramon Casas ◽  
Judit Gómez
Keyword(s):  
Structural Health Monitoring ◽  
Optical Fiber ◽  
Health Monitoring ◽  
Optical Fiber Sensors ◽  
Post Processing ◽  
Monitoring Tool ◽  
Fiber Sensors ◽  
Structural Health ◽  
Distributed Optical Fiber

Distributed optical fiber sensors are measuring tools whose potential related to the civil engineering field has been discovered in the latest years only (reduced dimensions, easy installation process, lower installation costs, elevated reading accuracy, and distributed monitoring). Yet, what appears clear from numerous in situ distributed optical fiber sensors monitoring campaigns (bridges and historical structures among others) and laboratory confined experiments is that optical fiber sensors monitorings have a tendency of including in their outputs a certain amount of anomalistic readings (out of scale and unreliable measurements). These can be both punctual in nature and spread over all the monitoring duration. Their presence strongly affects the results both altering the data in its affected sections and distorting the overall trend of the strain evolution profiles, thus the importance of detecting, eliminating, and substituting them with correct values. Being this issue intrinsic in the raw output data of the monitoring tool itself, its only solution is computer-aided post-processing of the strain data. This article discusses different simple algorithms for getting rid of such disruptive anomalies using two methods previously used in the literature and a novel polynomial-based one with different levels of sophistication and accuracy. The viability and performance of each are tested on two study case scenarios: an experimental laboratory test on two reinforced concrete tensile elements and an in situ tunnel monitoring campaign. The outcome of such analysis will provide the reader with both clear indications on how to purge a distributed optical fiber sensors-extracted data set of all anomalies and on which is the best-suited method according to their needs. This marriage of computer technology and cutting edge structural health monitoring tool not only elevates the distributed optical fiber sensors viability but also provides civil and infrastructures engineers a reliable tool to perform previously unreachable levels of accuracy and extension monitoring coverage.

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