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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Hornych, Pierre
Université Gustave Eiffel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (17/17 displayed)
- 2024Thermogravimetric analysis (TGA) for characterization of self-cementationof recycled concrete aggregates in pavementcitations
- 2023Influence of self-cementing properties on the mechanical behaviour of recycled concrete aggregates under monotonic loadingcitations
- 2022Accelerated pavement testing for the evaluations of structural design and safety performance of an innovative road coating
- 2022Evaluation of interface bonding condition on mechanical responses of full-scale asphalt pavements with and without grid reinforcementcitations
- 2022Design of reinforced pavements with glass fiber grids: from laboratory evaluation of the fatigue life to accelerated full-scale testcitations
- 2021Fatigue process analysis of aged asphalt concrete from two-point bending test using acoustic emission and curve fitting techniquescitations
- 2021Fatigue damage monitoring and analysis of aged asphalt concrete using acoustic emission techniquecitations
- 2020Accelerated pavement testing for the evaluations of structural design and safety performance of an innovative road coating
- 2020Design of reinforced pavements with glass fiber grids: from laboratory evaluation of the fatigue life to accelerated full-scale testcitations
- 2020Investigation of Crack Propagation in Asphalt Pavement Based on APT Result and LEFM Analysiscitations
- 2019Reproduction of Geogrid In Situ Damage Used in Asphalt Concrete Pavement with Indentation Testscitations
- 2019Pour une solution durable du renforcement des infrastructures par grilles en fibre de verre
- 2019For Sustainable Reinforcements of Infrastructures with Coated Glass Fiber Grids
- 2017Assessment of cracks detection in pavement by a distributed fiber optic sensing technologycitations
- 2017Laboratory characterisation of the fatigue behaviour of a glass fibre grid-reinforced asphalt concrete using 4PB testscitations
- 2015Cyclic triaxial tests on bituminous mixturescitations
- 2014Use of Distributed Fiber Optic Sensors to Detect Damage in a Pavement
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conferencepaper
Use of Distributed Fiber Optic Sensors to Detect Damage in a Pavement
Abstract
This paper presents the feasibility of damage detection in the asphalt pavements by embedded fiber optics as a new non-destructive inspection technique. The distributed fiber optic sensing technology called ÒRayleigh techniqueî was used in this study. The main advantage of this technique is that it allows to measure strains over long length of fiber optic with a high spatial resolution, less than 1 cm. By comparing strain profiles measured at different time, an attempt was made to link strain changes with the appearance of damage (cracking) in the pavement. This non-destructive method was evaluated on the IFSTTAR 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, thus indicating a clear relationship between the increased strains and crack initiation. These first tests demonstrate that distributed fiber optic sensor based on Rayleigh sensing technique can be used to detect crack initiation and propagation in pavements, by monitoring strain profiles in the bituminous layers.