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Assessment of cracks detection in pavement by a distributed fiber optic sensing technology

Authors :
J-L Gautier
Xavier Chapeleau
Jean Carroget
Juliette Blanc
Pierre Hornych
Statistical Inference for Structural Health Monitoring (I4S)
Département Composants et Systèmes (IFSTTAR/COSYS)
Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université de Lyon-PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Lille Nord de France-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université de Lyon-PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Lille Nord de France-Inria Rennes – Bretagne Atlantique
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Structure et Instrumentation Intégrée (IFSTTAR/COSYS/SII)
Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-PRES Université Nantes Angers Le Mans (UNAM)
Laboratoire Auscultation, Modélisation, Expérimentation des infrastructures de transport (IFSTTAR/MAST/LAMES)
Colas [Magny-les-Hameaux]
COLAS
RP2-F13139 COLAS : AVENANT N°7
PRES Université Lille Nord de France-PRES Université Nantes Angers Le Mans (UNAM)-Université de Lyon-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-PRES Université Lille Nord de France-PRES Université Nantes Angers Le Mans (UNAM)-Université de Lyon-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Inria Rennes – Bretagne Atlantique
Source :
Journal of Civil Structural Health Monitoring, Journal of Civil Structural Health Monitoring, 2017, 7 (4), pp.459-470. ⟨10.1007/s13349-017-0236-5⟩, Journal of Civil Structural Health Monitoring, Springer, 2017, 7 (4), pp.459-470. ⟨10.1007/s13349-017-0236-5⟩
Publication Year :
2017
Publisher :
Springer Science and Business Media LLC, 2017.

Abstract

International audience; This paper presents the feasibility of damage detection in asphalt pavements by embedded fiber optics as a new non-destructive inspection technique. The distributed fiber optic sensing technology based on the Rayleigh scattering was used in this study. The main advantage of this technique is that it allows to measure strains over a long length of fiber optic with a high spatial resolution, less than 1 cm. By comparing strain profiles measured at different times, an attempt was made to link strain changes with the appearance of damage (cracking) in the pavement. This non-destructive method was evaluated on accelerated pavement testing facility, in a bituminous pavement. In our experimentation, the optical fibers were placed near the bottom of the asphalt layer. The application of 728 000 heavy vehicle loads (65 kN dual wheel loads) was simulated in the experiment. Optical fiber measurements were made at regular intervals and surface cracking of the pavement was surveyed. After some traffic, a significant increase of strains was detected by the optical fibers at different points in the pavement structure, before any damage was visible. Later, cracking developed in the zones where the strain profiles were modified, X. Chapeleau et al. thus indicating a clear relationship between the increased strains and crack initiation. These first tests demonstrate that distributed fiber optic sensors based on Rayleigh scattering can be used to detect crack initiation and propagation in pavements, by monitoring strain profiles in the bituminous layers.

Details

ISSN :
21905479 and 21905452
Volume :
7
Database :
OpenAIRE
Journal :
Journal of Civil Structural Health Monitoring
Accession number :
edsair.doi.dedup.....a522b9db2c007cebc63b3aa3118009f6