scholarly journals Distributed Optical Fiber Sensor Applications in Geotechnical Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7514
Author(s):  
Aldo Minardo ◽  
Luigi Zeni ◽  
Agnese Coscetta ◽  
Ester Catalano ◽  
Giovanni Zeni ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Brillouin Scattering ◽  
Optical Fiber Sensor ◽  
Early Warning Systems ◽  
Optical Fiber Sensors ◽  
Small Scale ◽  
Sudden Increase ◽  
Fiber Sensors ◽  
Artificial Rainfall ◽  
Distributed Optical Fiber

We report the experimental application of distributed optical fiber sensors, based on stimulated Brillouin scattering (SBS), to the monitoring of a small-scale granular slope reconstituted in an instrumented flume and subjected to artificial rainfall until failure, and to the monitoring of a volcanic rock slope. The experiments demonstrate the sensors’ ability to reveal the sudden increase in soil strain that foreruns the failure in a debris flow phenomenon, as well as to monitor the fractures in the tuff rocks. This study offers an important perspective on the use of distributed optical fiber sensors in the setting up of early warning systems for landslides in both rock and unconsolidated materials.

scholarly journals Distributed Dynamic Strain Sensing Based on Brillouin Scattering in Optical Fibers

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5629
Author(s):  
Agnese Coscetta ◽  
Aldo Minardo ◽  
Luigi Zeni
Keyword(s):  
Optical Fiber ◽  
Brillouin Scattering ◽  
Traffic Monitoring ◽  
Optical Fiber Sensors ◽  
Dynamic Strain ◽  
Dynamic Measurements ◽  
Research Activity ◽  
Fiber Sensors ◽  
Railway Traffic ◽  
Distributed Optical Fiber

Over the past three decades, extensive research activity on Brillouin scattering-based distributed optical fiber sensors has led to the availability of commercial instruments capable of measuring the static temperature/strain distribution over kilometer distances and with high spatial resolution, with applications typically covering structural and environmental monitoring. At the same time, the interest in dynamic measurements has rapidly grown due to the relevant number of applications which could benefit from this technology, including structural analysis for defect identification, vibration detection, railway traffic monitoring, shock events detection, and so on. In this paper, we present an overview of the recent advances in Brillouin-based distributed optical fiber sensors for dynamic sensing. The aspects of the Brillouin scattering process relevant in distributed dynamic measurements are analyzed, and the different techniques are compared in terms of performance and hardware complexity.

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.

scholarly journals Frequency Resolution Quantification of Brillouin-Distributed Optical Fiber Sensors

2016 ◽  
Vol 28 (21) ◽  
pp. 2367-2370 ◽  
Author(s):  
Yifei Yu ◽  
Linqing Luo ◽  
Bo Li ◽  
Kenichi Soga ◽  
Jize Yan
Keyword(s):  
Optical Fiber ◽  
Optical Fiber Sensors ◽  
Frequency Resolution ◽  
Fiber Sensors ◽  
Distributed Optical Fiber

scholarly journals Fast Measurement of Brillouin Frequency Shift in Optical Fiber Based on a Novel Feedforward Neural Network

Photonics ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. 474
Author(s):  
Fen Xiao ◽  
Mingxing Lv ◽  
Xinwan Li
Keyword(s):  
Neural Network ◽  
Optical Fiber ◽  
Frequency Shift ◽  
Brillouin Scattering ◽  
Principal Component ◽  
Feedforward Neural Network ◽  
Gain Spectrum ◽  
Fiber Sensors ◽  
Brillouin Gain ◽  
Distributed Optical Fiber

Brillouin scattering-based distributed optical fiber sensors have been successfully employed in various applications in recent decades, because of benefits such as small size, light weight, electromagnetic immunity, and continuous monitoring of temperature and strain. However, the data processing requirements for the Brillouin Gain Spectrum (BGS) restrict further improvement of monitoring performance and limit the application of real-time measurements. Studies using Feedforward Neural Network (FNN) to measure Brillouin Frequency Shift (BFS) have been performed in recent years to validate the possibility of improving measurement performance. In this work, a novel FNN that is 3 times faster than previous FNNs is proposed to improve BFS measurement performance. More specifically, after the original Brillouin Gain Spectrum (BGS) is preprocessed by Principal Component Analysis (PCA), the data are fed into the Feedforward Neural Network (FNN) to predict BFS.

Modal Analysis of Turbine Blades by Means of Distributed Optical Fiber Sensors

2020 ◽  
Author(s):  
Paolo Pennacchi ◽  
Gabriele Cazzulani ◽  
Alejandro Silva
Keyword(s):  
Optical Fiber ◽  
Modal Analysis ◽  
Turbine Blade ◽  
Turbine Blades ◽  
Optical Fiber Sensors ◽  
Operating Conditions ◽  
Fiber Sensors ◽  
Steam Turbine Blade ◽  
3D Printed ◽  
Distributed Optical Fiber

Abstract This paper investigates the possibility of identifying and monitoring the modal shapes of a turbine blade by means of continuous optical fiber sensors based on Optical Backscatter Reflectometry (OBR). The advantage of this approach would be the possibility of embedding the sensors in future carbon fiber blades, in order to make this modal analysis approach available also for the blade operating conditions, since no modifications in the blade fluid-structure interaction occur. The paper describes the proposed method and provides some experimental results obtained on a 3D printed model of an existing steam turbine blade.

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