journal article·2017-01-02

Modelling of the fatigue damage of a geogrid-reinforced asphalt concrete

Ioana Maria Arsenie, Cyrille Chazallon, Jean-Louis Duchez, Saida Mouhoubi

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Abstract

This paper presents a modelling approach to predict the fatigue damage of glass fibre grid-reinforced asphalt concrete in the fully reverse four-point bending (4PB) test configuration. The objective of the present study is to predict the fatigue damage of a composite material made of asphalt concrete and geogrid, using a damage model proven for asphalt mixes. The non-local damage model of Bodin, implemented in a finite element code, is used. Parameter identification is performed with 4PB test results of non-reinforced asphalt (NRA) and reinforced asphalt concrete beams. A unique model is developed and two analyses are performed for both NRA and geogrid-reinforced asphalt (GRA) in the 4PB fully reverse fatigue test configuration: monolayer beams and five-layer beams. A comparison between the predicted and the experimental fatigue damage curves indicates that the finite element model is able to predict the fatigue behaviour of GRA mixtures.
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Research context

OpenAlex topics: Asphalt Pavement Performance Evaluation · Infrastructure Maintenance and Monitoring · Geotechnical Engineering and Underground Structures

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie, ICUBE, UMR 7357, CNRS, INSA de Strasbourg, 24 Boulevard de la Victoire, 67000 Strasbourg, France

Eiffage Infrastructures, 12 rue de Molsheim, 67120 Wolxheim, France

Epsilon Ingénierie, Parc de Ruissel – Avenue de Lossburg, 69480 Anse, France

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