4.6 Article

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

Journal

SENSORS
Volume 22, Issue 12, Pages -

Publisher

MDPI
DOI: 10.3390/s22124581

Keywords

fiber Bragg grating (FBG); fiber optical sensors (FOS); structural health monitoring (SHM); strain measurements

Funding

  1. European Regional Development Fund (ERDF) [1.1.1.3/18/A/001 (PVS 3912.6.2)]
  2. Doctoral Grant program of Riga Technical University in Latvia
  3. RTU Science Support Fund

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Fiber Bragg grating (FBG) optical sensors are advanced technology integrated into road structures for real-time monitoring of traffic-induced strain, and these sensors can accurately detect the number of axles and strain changes in the road structure. This study embedded FBG sensors in the top layer of the road and used them to measure strain and temperature, collecting data from vehicles of different types, which helps evaluate the pavement design.
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 mu m/m, the 2-axle minibus 5.5-8.5 mu m/m, 2-3-axle trucks 11-26 mu m/m, but 4-6-axle trucks 14-36 mu m/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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