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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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Levenberg, Eyal
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2024Verification and Validation of Pavement Modelscitations
- 2023Full-scale validation of a mechanistic model for asphalt grid reinforcementcitations
- 2023Full-scale validation of a mechanistic model for asphalt grid reinforcementcitations
- 2022The Dynamic Cone Penetrometer as a Seismic Source for Geophysical Exploration in Urban Environments
- 2022The Dynamic Cone Penetrometer as a Seismic Source for Geophysical Exploration in Urban Environments
- 2020Analytic pavement modelling with a fragmented layercitations
- 2016Development of an Optical Displacement Transducer for Routine Testing of Asphalt Concrete
- 2016In Situ Stiffness Profiling using High Resolution Fiber Optic Distributed Sensingcitations
- 2015Modelling asphalt concrete viscoelasticity with damage and healingcitations
- 2013Viscoelastic characterisation of asphalt-aggregate mixes in diametral compressioncitations
- 2011Smoothing asphalt concrete complex modulus test datacitations
- 2009Backcalculation of Anisotropic Pavement Properties using Time History of Embedded Gauge Readings
- 2007Advanced testing and characterization of asphalt concrete materials in tensioncitations
- 2006Constitutive Modeling of Asphalt-Aggregate Mixes with Damage and Healing
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article
Full-scale validation of a mechanistic model for asphalt grid reinforcement
Abstract
The pavement engineering community currently lacks an accepted response model that can practically capture and emulate the effects of asphalt grid reinforcement (AGR) products. A candidate model in this context was recently developed in the work of Nielsen <i>et al</i>. (2022), and the main objective of this (current) study was to validate it experimentally. A full-scale test setup was designed and constructed for this purpose; it involved two road sections instrumented with strain gauges and temperature sensors. The sections were nominally identical to each other, except that one included an AGR – installed at the bottom of the asphalt concrete layer. Initially, the as-constructed properties of the two sections were investigated by a combination of field and laboratory tests. Then after, they were loaded by several passes of a heavy vehicle with known weight and dimensions. The experimental campaign targeted slow speeds and relatively high asphalt concrete temperatures for which, according to the model, the AGR effect was expected to be most pronounced. The model was validated by demonstrating its ability to simultaneously reproduce all strain gauge readings; this was achieved in both the unreinforced and reinforced sections for any given vehicle pass. Overall, the investigation provided evidence that: (i) it was possible to observe the AGR effect and quantify the associated model parameters; and (ii) it was necessary to activate the AGR model-component for replicating the sensor measurements in the reinforced section. These findings attest to the potential suitability of the new model as a mechanistic component for asphalt pavement design – especially when including AGR products.