Distributed optical fibre sensor for infrastructure monitoring: Field applications

Wijaya, Hendrik; Rajeev, Pathmanathan; Gad, Emad

doi:10.1016/j.yofte.2021.102577

Cited by 64 publications

(24 citation statements)

References 64 publications

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“…One of such perspective technologies is fiber optical sensors (FOS). FOS have multiple advantages such as an immunity to corrosion [2][3][4] and electromagnetic interference [3][4][5][6][7], the capability for distributed and long-distance measurements [8,9], harsh environment and high-temperature durability [10], high precision [8,11], easy integration [8,11] and high sensitivity [3,9,12], which can be efficiently utilized for necessary applications.…”

Section: Introductionmentioning

confidence: 99%

“…FBG sensors are versatile in the matter of the parameters to be measured; for instance, strain [13,14], temperature [9,15], pressure [16], humidity [9,17], and many more can be measured and monitored. With regard to industry, FBG FOS realization is topical in structural health monitoring (SHM) applications for dams [10,18], pipelines [10,16], slopes [10], tunnels [10,19], bridges [10,20], railroads [21], roads [14,22], and so on.…”

Section: Introductionmentioning

confidence: 99%

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Road Pavement Structural Health Monitoring by Embedded Fiber-Bragg-Grating-Based Optical Sensors

Braunfelds

Seņkāns

Šķēls

et al. 2022

Sensors

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Fiber Bragg grating (FBG) optical sensors are state-of-the-art technology that can be integrated into the road structure, providing real-time traffic-induced strain readings and ensuring the monitoring of the road’s structural health. By implementing specific FBG sensors, it is possible to detect each vehicle’s axle count and the induced strain changes in the road structure. In this study, FBG sensors are embedded at the top of the 240-mm-thick cement-treated reclaimed asphalt pavement mixture layer of the road (specifically, 25 mm deep within the road). Optical sensors’ signal interrogation units are used to measure the strain and temperature and collect data of the road’s passing vehicles, starting from passenger cars that have two axles and up to heavy trucks that have six axles. Passenger cars with 2 axles generate a typical (90% events) strain of 0.8–4.1 μm/m, the 2-axle minibus 5.5–8.5 μm/m, 2–3-axle trucks 11–26 μm/m, but 4–6-axle trucks 14–36 μm/m per each axle. A large number of influencing parameters determine the pavement design leading to the great uncertainty in the prediction of the strain at the boundary between the asphalt surface and cement-treated base layers. Real-time strain and temperature measurements help to understand the actual behavior of the pavement structure under an applied load, thus assisting in validating the proposed pavement design.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Road Pavement Structural Health Monitoring by Embedded Fiber-Bragg-Grating-Based Optical Sensors

Braunfelds

Seņkāns

Šķēls

et al. 2022

Sensors

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show abstract

“…Cao et al [29] allowed the measurement of soil moisture in saturated and unsaturated zones with a deviation of 0.027 m 3 /m 3 and used the active heating optical fiber method to monitor soil moisture profiles through model experiments. Wijaya et al [30] studied the comparison of BOTDR strain measurement methods with pretensioned and nonpretensioned fiber optic cables by field applications.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation Monitoring the Saturated Line of Slope Based on Distributed Optical Fiber Temperature System

Weixing

Hui-ren

2022

Advances in Materials Science and Engineering

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The position of the saturated line is an important basis for evaluating the stability of the slope, and the traditional sensors cannot be monitored for a long time because of poor durability and anti-interference. A method for measuring the saturated line with distributed optical fiber temperature measurement technology was proposed, and the one-dimensional and two-dimensional model experiments of measuring the saturated line at three kinds of electron flow (5 A, 10 A, and 15 A) were conducted, and their measuring data were carefully analyzed. The results showed the three stages of the optical fiber temperature difference with time: sudden-rising, fast-rising, and slow-rising. The temperature rising rate and stable temperature difference at the position of the saturated line are between saturated soil and unsaturated soil. The fiber optic temperature increases with the increment of heating electron flow, which also demonstrates stability and repeatability.

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“…Therefore, the application of the DOFS is considered to be a promising solution for monitoring spatially distributed structures 6 . In the DOFS, the optical fibre cable connected to the control system acts as a sensor and can be extended for kilometres.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the application of the DOFS is considered to be a promising solution for monitoring spatially distributed structures. 6 In the DOFS, the optical fibre cable connected to the control system acts as a sensor and can be extended for kilometres. The sensor can measure various measurands such as temperature, strain and vibration at any location along the cable depending on the reflected optical signal processing method.…”

Section: Introductionmentioning

confidence: 99%

Distributed optical fibre sensor for condition monitoring of mining conveyor using wavelet transform and artificial neural network

Wijaya

Rajeev

Gad

et al. 2021

Structural Contr & Hlth

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Condition monitoring of mining conveyors is highly essential, not only to reduce economic loss due to sudden component breakdown but also to prevent safety risks to maintenance personnel. The vibration measurement by means of Distributed Optical Fibre Sensors (DOFS) is a potential solution to provide cost-effective real-time monitoring of mining conveyors. However, an effective application of detecting early damage and damage progression mainly depends on collection quality of optical signal and robust signal processing methods. Therefore, this study focuses on the identification of an effective signal processing method for real-time monitoring of mining conveyor systems. A prototype conveyor system with various levels of idler damages was built to run experimental tests and to collect optical signals for further analysis. A wavelet-based damage detection method is proposed, and its efficiency is evaluated. Additionally, Artificial Neural Network (ANN) is integrated to develop a smart fault detection technology for fast detection and damage classification. The proposed method has 99% accuracy in classify damage condition under varying coveyor operating speed.

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Distributed optical fibre sensor for infrastructure monitoring: Field applications

Cited by 64 publications

References 64 publications

Road Pavement Structural Health Monitoring by Embedded Fiber-Bragg-Grating-Based Optical Sensors

Road Pavement Structural Health Monitoring by Embedded Fiber-Bragg-Grating-Based Optical Sensors

Experimental Investigation Monitoring the Saturated Line of Slope Based on Distributed Optical Fiber Temperature System

Distributed optical fibre sensor for condition monitoring of mining conveyor using wavelet transform and artificial neural network

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