Identification of external load information using distributed optical fiber sensors embedded in an existing road pavement

Mustafa, Samim; Sekiya, Hidehiko; Maeda, Iwao; Takaba, Shozo; Hamajima, Aya

doi:10.1016/j.yofte.2021.102705

Cited by 17 publications

(15 citation statements)

References 38 publications

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“…Mustafa et al was the first to demonstrate the feasibility of a distributed fiber optic sensing technology called optical frequency-domain reflectometry (OFDR) to measure longitudinal strains when embedded within pavements. 35 Fiber optic sensing cables were installed at 10-, 20-, and 40-mm depths within AC. Results showed that the 10-mm embedment depth was preferred for maximum sensitivity to a tension-compression-tension spatial strain variation under localized surface loading.…”

Section: Monitoring Of Strain In Pavementmentioning

confidence: 99%

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Road deformation monitoring and event detection using asphalt‐embedded distributed acoustic sensing (DAS)

Hubbard

et al. 2022

Structural Contr & Hlth

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Distributed acoustic sensing (DAS) is a new technology that is being adopted widely in the geophysics and earth science communities to measure seismic signals propagating over 10's of kilometers using an optical fiber. DAS uses the technique of phase-coherent optical time domain reflectometry (φ-OTDR) to measure dynamic strain in an optical fiber as small as nε by examining interferences in scattered light. This technology is opening a new field of research of examining very small strains in infrastructure that can be indicative of performance and use level. In this study, a fiber optic strain sensing cable was embedded into an asphalt concrete test road and spatially distributed dynamic road strain was measured during different types of loading. It is demonstrated that φ-OTDR can be used to quantitatively measure strain in roads associated with events as small as a dog walking on the surface. Optical frequency domain reflectometry (OFDR), a widely implemented but less accurate distributed fiber optic strain monitoring technology, is used along with traditional pavement strain gauges and 3D finite element modeling to validate the φ-OTDR pavement strain measurements. After validation, φ-OTDR strain measurements from various events are presented including a vehicle, pedestrian, runner, cyclist and finally a dog moving along the road. This study serves to demonstrate the deployment of φ-OTDR to monitor roadway systems.

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Section: Monitoring Of Strain In Pavementmentioning

confidence: 99%

“…Mustafa et al was the first to demonstrate the feasibility of a distributed fiber optic sensing technology called optical frequency‐domain reflectometry (OFDR) to measure longitudinal strains when embedded within pavements 35 . Fiber optic sensing cables were installed at 10‐, 20‐, and 40‐mm depths within AC.…”

Section: Monitoring Of Strain In Pavementmentioning

confidence: 99%

Road deformation monitoring and event detection using asphalt‐embedded distributed acoustic sensing (DAS)

Hubbard

et al. 2022

Structural Contr & Hlth

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“…In addition, some different kinds of sensors, such as electric strain sensors, accelerometers, inclinometers, and acoustic emission and detection, are available for structural health monitoring (SHM). However, none of these sensors has offered a satisfactory solution in pavement [1,2], crack detection [3], and SHM of a wind turbine [4].…”

Section: Introductionmentioning

confidence: 99%

Optical fiber reflectometry detecting static and dynamic Rayleigh spectra

Zhang

Ito

Yoshimura

2023

Meas. Sci. Technol.

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Civil structures e.g. bridges, tunnels, and dams are essential to human societies. Currently, these complex engineered structures are challenged by aging issues. It is crucial to monitor the conditions of such structures in realtime to ensure their protection and conduct sufficient maintenance and rehabilitation when they begin to show omens of degradation or damage. Observation of Rayleigh scattering spectra from optical fibers using fiber Rayleigh reflectometry enables distributed sensing of static and dynamic strain in structural health monitoring for civil structures. Its key performance indices are the spatial resolution, the strain dynamic range, the measurement range, and the refresh rate. This article reviews tunable-wavelength optical time-domain reflectometry and coherent optical frequency-domain reflectometry and discusses the performance indices of each method in terms of the performance indices listed above. After analytical derivation, we have found that signal-to-noise ratios of both schemes are the same, which is a valuable discovery. In addition, we enumerate and review recent major industrial developments of both schemes.

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“…Embedded sensors consist of modern and small systems directly embedded in pavements or other road elements. They rely on Internet of Things (IoT) and Edge/Fog/Cloud technologies for assuring frequent collection of data from infrastructures (cf 11–19 …”

Section: Introductionmentioning

confidence: 99%

“…They rely on Internet of Things (IoT) and Edge/Fog/Cloud technologies for assuring frequent collection of data from infrastructures (cf. [11][12][13][14][15][16][17][18][19] ). Moving sensors, instead, exploit the potential of crowd computing and measurement, since they are represented by personal (i.e., smartphones) or driver-based sensors (i.e., sensors on vehicles) for collecting data during driving.…”

Section: Introductionmentioning

confidence: 99%

Innovative smart road management systems in the urban context: Integrating smart sensors and miniaturized sensing systems

Praticò

Bosurgi

Bruneo

et al. 2022

Structural Contr & Hlth

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Especially in urban contexts, the detection of damages in road infrastructures is crucial for their management and efficiency. This entails complex measurement chains. Several solutions were already developed and applied (e.g., high speed monitoring systems or sensor-based systems), but the emerging smart city and smart road paradigms call for innovations in these fields. A possible solution could be the development of smart, non-intrusive, and sustainable sensing systems able to perform continuous monitoring, allowing automatic and timely generation of alarms and proper maintenance strategies from Road Management Systems (RMSs). Consequently, this study aims to demonstrate the feasibility of integrating miniaturized sensing systems with high-speed monitoring systems, to obtain innovative RMSs. In this regard, a specific webbased platform, the core of a Smart RMS, properly defined to acquire, correlate, and exploit data from several sources was developed. To this end, highperformance monitoring systems, an innovative sensing system (i.e., based on miniaturized devices and on feature-and signature-based methods), and Micro-electromechanical systems (i.e., smartphones accelerometers) were used. A new set of indicators has been set up and partly validated in the pursuit of setting out a new paradigm where Pavement Management Systems are supposed to become urban-oriented and less expensive. Results show that combining traditional and innovative solutions allows providing a comprehensive overview of both the structural condition and the performance of road infrastructures. This information could be used to exponentially improve the efficiency of current RMSs in forecasting the occurrence of damages and in scheduling more effective and sustainable management interventions.

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Identification of external load information using distributed optical fiber sensors embedded in an existing road pavement

Cited by 17 publications

References 38 publications

Road deformation monitoring and event detection using asphalt‐embedded distributed acoustic sensing (DAS)

Road deformation monitoring and event detection using asphalt‐embedded distributed acoustic sensing (DAS)

Optical fiber reflectometry detecting static and dynamic Rayleigh spectra

Innovative smart road management systems in the urban context: Integrating smart sensors and miniaturized sensing systems

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