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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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Baltazart, Vincent
in Cooperation with on an Cooperation-Score of 37%
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Publications (6/6 displayed)
- 2022Optimization and sensitivity analysis of existing deep learning models for pavement surface monitoring using low-quality imagescitations
- 2016Progress in monitoring the debonding within pavement structures during accelerated pavement testing on the Ifsttar's fatigue carousel
- 2014Data processing of ground-penetrating radar signals for the detection of discontinuities using polarization diversity
- 2011On variants of the frequency power law for the electromagnetic characterization of hydraulic concretecitations
- 2009Effects of Frequency-Dependent Attenuation on the Performance of Time Delay Estimation Techniques Using Ground Penetrating Radar
- 2009Effects of Frequency-Dependent Attenuation on the Performance of Time Delay Estimation Techniques Using Ground Penetrating Radar
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document
Progress in monitoring the debonding within pavement structures during accelerated pavement testing on the Ifsttar's fatigue carousel
Abstract
The paper gives an overview of the ongoing experiment to survey debonding areas within pavement structure during accelerated pavement testing on the Ifsttar's fatigue carrousel. Several defects have been embedded during the con- struction phase and have been probed by different NDT techniques. Among them, the paper focuses on radar NDT&E techniques which have been used to detect and locate the artificial defects at the early stage of the experiment and then to perform the survey at different loading cycles. Besides, the test-site has been used to test different GPR materials, including the 3D GPR technology. The experiment has also motivated some related studies in the field of GPR data modelling and data processing, which are summarized in the paper. The experiment is expected to bepursued beyond 300 loading kcycles to reach larger pavement degradations.