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

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 ea...

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Autores principales: Braunfelds, Janis, Senkans, Ugis, Skels, Peteris, Janeliukstis, Rims, Porins, Jurgis, Spolitis, Sandis, Bobrovs, Vjaceslavs
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231225/
https://www.ncbi.nlm.nih.gov/pubmed/35746362
http://dx.doi.org/10.3390/s22124581
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author Braunfelds, Janis
Senkans, Ugis
Skels, Peteris
Janeliukstis, Rims
Porins, Jurgis
Spolitis, Sandis
Bobrovs, Vjaceslavs
author_facet Braunfelds, Janis
Senkans, Ugis
Skels, Peteris
Janeliukstis, Rims
Porins, Jurgis
Spolitis, Sandis
Bobrovs, Vjaceslavs
author_sort Braunfelds, Janis
collection PubMed
description 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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spelling pubmed-92312252022-06-25 Road Pavement Structural Health Monitoring by Embedded Fiber-Bragg-Grating-Based Optical Sensors Braunfelds, Janis Senkans, Ugis Skels, Peteris Janeliukstis, Rims Porins, Jurgis Spolitis, Sandis Bobrovs, Vjaceslavs Sensors (Basel) Article 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. MDPI 2022-06-17 /pmc/articles/PMC9231225/ /pubmed/35746362 http://dx.doi.org/10.3390/s22124581 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Braunfelds, Janis
Senkans, Ugis
Skels, Peteris
Janeliukstis, Rims
Porins, Jurgis
Spolitis, Sandis
Bobrovs, Vjaceslavs
Road Pavement Structural Health Monitoring by Embedded Fiber-Bragg-Grating-Based Optical Sensors
title Road Pavement Structural Health Monitoring by Embedded Fiber-Bragg-Grating-Based Optical Sensors
title_full Road Pavement Structural Health Monitoring by Embedded Fiber-Bragg-Grating-Based Optical Sensors
title_fullStr Road Pavement Structural Health Monitoring by Embedded Fiber-Bragg-Grating-Based Optical Sensors
title_full_unstemmed Road Pavement Structural Health Monitoring by Embedded Fiber-Bragg-Grating-Based Optical Sensors
title_short Road Pavement Structural Health Monitoring by Embedded Fiber-Bragg-Grating-Based Optical Sensors
title_sort road pavement structural health monitoring by embedded fiber-bragg-grating-based optical sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9231225/
https://www.ncbi.nlm.nih.gov/pubmed/35746362
http://dx.doi.org/10.3390/s22124581
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