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Health Monitoring with Optical Fiber Sensors

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 8030

Special Issue Editors


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Guest Editor
1. I3N & Physics Department of the Aveiro University, 3810-193 Aveiro, Portugal
2. Instituto de Telecomunicações, 3810-193 Aveiro, Portugal
Interests: optical fiber sensors; e-Health platforms; structural health monitoring; biosensing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Civil Engineering Department, University of Aveiro, 3810-193 Aveiro, Portugal
Interests: earthquake engineering; structural analysis; seismic analysis of RC buildings; structural repair and maintenance of buildings; structural health monitoring; structural testing and modelling; all aimin
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The monitoring of structures, especially civil engineering structures and infrastructures, has a huge impact at the social and economic level. The study of its performance in different buildings began in the late 20th century, and its development has increased considerably in the last years, resulting in the implementation of numerous prototypes in existent structures.

The monitoring and identification of potential structural damage and its evolution requires the development of advanced structural sensing networks and monitoring techniques. Within the detection technologies, optical fiber sensors (OFS) present advantages over several other technologies. Recent advances in the field of optoelectronics have increased and highlighted the importance of OFS in relation to electrical devices. These have valuable features such as immunity to electromagnetic interference, high sensitivity and resolution, multiplexing capabilities, absence of electrical power in the measurement area, reduced size and mass, resistance to extreme environments (chemicals), and minimal aesthetic invasion (important for historic structures open to the public).

This Special Issue will present and discuss all types of OFS with potential use in structural monitoring. The manuscripts should cover, but are not limited to, the following topics:

  • Low-cost, miniaturized, selective, and multiparameter optical devices;
  • SHM case studies using optical fiber technologies;
  • OFS for physical, chemical, and environmental SHM;
  • Fiber interferometric and polarimetric sensors;
  • Nano- and micro-structured and photonic crystal fiber sensors;
  • OFS Multiplexing and sensor networking;
  • Distributed sensing;
  • Advances in interrogation techniques for optical sensing;
  • Smart structures and sensors;
  • Bragg gratings, Fabry Perot cavities, plasmonic and Mach Zehnder interferometers;
  • Damage detection algorithms and characterization using optical fiber technologies.

Dr. Paulo Antunes
Dr. Hugo Rodrigues
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • structural health monitoring
  • optical fiber sensors
  • smart structures and sensors
  • damage detection

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Published Papers (4 papers)

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Research

16 pages, 776 KiB  
Article
Multilayer Structure Damage Detection Using Optical Fiber Acoustic Sensing and Machine Learning
by Beatriz Brusamarello, Uilian José Dreyer, Gilson Antonio Brunetto, Luis Fernando Pedrozo Melegari, Cicero Martelli and Jean Carlos Cardozo da Silva
Sensors 2024, 24(17), 5777; https://doi.org/10.3390/s24175777 - 5 Sep 2024
Viewed by 764
Abstract
Over the past decade, distributed acoustic sensing has been utilized for structural health monitoring in various applications, owing to its continuous measurement capability in both time and space and its ability to deliver extensive data on the conditions of large structures using just [...] Read more.
Over the past decade, distributed acoustic sensing has been utilized for structural health monitoring in various applications, owing to its continuous measurement capability in both time and space and its ability to deliver extensive data on the conditions of large structures using just a single optical cable. This work aims to evaluate the performance of distributed acoustic sensing for monitoring a multilayer structure on a laboratory scale. The proposed structure comprises four layers: a medium-density fiberboard and three rigid polyurethane foam slabs. Three different damages were emulated in the structure: two in the first layer of rigid polyurethane foam and another in the medium-density fiberboard layer. The results include the detection of the mechanical wave, comparing the response with point sensors used for reference, and evaluating how the measured signal behaves in time and frequency in the face of different damages in the multilayer structure. The tests demonstrate that evaluating signals in both time and frequency domains presents different characteristics for each condition analyzed. The supervised support vector machine classifier was used to automate the classification of these damages, achieving an accuracy of 93%. The combination of distributed acoustic sensing with this learning algorithm creates the condition for developing a smart tool for monitoring multilayer structures. Full article
(This article belongs to the Special Issue Health Monitoring with Optical Fiber Sensors)
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14 pages, 8383 KiB  
Article
A Wearable Sandwich Heterostructure Multimode Fiber Optic Microbend Sensor for Vital Signal Monitoring
by Fumin Zhou, Binbin Luo, Xue Zou, Chaoke Zou, Decao Wu, Zhijun Wang, Yunfang Bai and Mingfu Zhao
Sensors 2024, 24(7), 2209; https://doi.org/10.3390/s24072209 - 29 Mar 2024
Cited by 1 | Viewed by 1156
Abstract
This work proposes a highly sensitive sandwich heterostructure multimode optical fiber microbend sensor for heart rate (HR), respiratory rate (RR), and ballistocardiography (BCG) monitoring, which is fabricated by combining a sandwich heterostructure multimode fiber Mach–Zehnder interferometer (SHMF-MZI) with a microbend deformer. The parameters [...] Read more.
This work proposes a highly sensitive sandwich heterostructure multimode optical fiber microbend sensor for heart rate (HR), respiratory rate (RR), and ballistocardiography (BCG) monitoring, which is fabricated by combining a sandwich heterostructure multimode fiber Mach–Zehnder interferometer (SHMF-MZI) with a microbend deformer. The parameters of the SHMF-MZI sensor and the microbend deformer were analyzed and optimized in detail, and then the new encapsulated method of the wearable device was put forward. The proposed wearable sensor could greatly enhance the response to the HR signal. The performances for HR, RR, and BCG monitoring were as good as those of the medically approved commercial monitors. The sensor has the advantages of high sensitivity, easy fabrication, and good stability, providing the potential for application in the field of daily supervision and health monitoring. Full article
(This article belongs to the Special Issue Health Monitoring with Optical Fiber Sensors)
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16 pages, 8602 KiB  
Article
Assessment of the Measurement Performance of the Multimodal Fibre Optic Shape Sensing Configuration for a Morphing Wing Section
by Nakash Nazeer, Roger M. Groves and Rinze Benedictus
Sensors 2022, 22(6), 2210; https://doi.org/10.3390/s22062210 - 12 Mar 2022
Cited by 11 | Viewed by 2511
Abstract
In this paper, with the final aim of shape sensing for a morphing aircraft wing section, a developed multimodal shape sensing system is analysed. We utilise the method of interrogating a morphing wing section based on the principles of both hybrid interferometry and [...] Read more.
In this paper, with the final aim of shape sensing for a morphing aircraft wing section, a developed multimodal shape sensing system is analysed. We utilise the method of interrogating a morphing wing section based on the principles of both hybrid interferometry and Fibre Bragg Grating (FBG) spectral sensing described in our previous work. The focus of this work is to assess the measurement performance and analyse the errors in the shape sensing system. This includes an estimation of the bending and torsional deformations of an aluminium mock-up section due to static loading that imitates the behaviour of a morphing wing trailing edge. The analysis involves using a detailed calibration procedure and a multimodal sensing algorithm to measure the deflection and shape. The method described In this paper, uses a standard single core optical fibre and two grating pairs on both the top and bottom surfaces of the morphing section. A study on the fibre placement and recommendations for efficient monitoring is also included. The analysis yielded a maximum deflection sensing error of 0.7 mm for a 347 × 350 mm wing section. Full article
(This article belongs to the Special Issue Health Monitoring with Optical Fiber Sensors)
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15 pages, 6201 KiB  
Article
Analysis of Reliability of Strain Measurements Made with the Fiber Bragg Grating Sensor Rosettes Embedded in a Polymer Composite Material
by Valerii Matveenko, Natalia Kosheleva, Grigorii Serovaev and Andrey Fedorov
Sensors 2021, 21(15), 5050; https://doi.org/10.3390/s21155050 - 26 Jul 2021
Cited by 10 | Viewed by 2331
Abstract
The results of strain measuring experiments, with the help of rosettes consisting of fiber Bragg grating sensors (FBG) embedded at the manufacturing stage in a polymer composite material are considered in this paper. The samples were made by the direct pressing method from [...] Read more.
The results of strain measuring experiments, with the help of rosettes consisting of fiber Bragg grating sensors (FBG) embedded at the manufacturing stage in a polymer composite material are considered in this paper. The samples were made by the direct pressing method from fiberglass prepregs. A cross-shaped sample was tested under loading conditions corresponding to a complex stress state. A variant of strain calculations based on experimental data is discussed. The calculations were performed under the assumption of a uniaxial stress state in an optical fiber embedded in the material. The obtained results provide a reasonable explanation of the absence in the conducted experiment of two peaks in the reflected optical spectrum, the presence of which follows from the known theoretical principles. The experimental result with two peaks in the reflected optical spectrum was obtained for the same sample under a different loading scheme. The proposed variant of the numerical model of the experiment and the results of numerical simulation made for FBG rosettes embedded in the material allowed to estimate error in the strain values calculated on the assumption of the uniaxial stress state in the optical fiber and in the presence of two peaks in the reflected optical spectrum. Full article
(This article belongs to the Special Issue Health Monitoring with Optical Fiber Sensors)
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