Pavement interface damage behavior in tension monotonic loading

Ktari, Rahma; Millien, Anne; Fouchal, Fazia; Ion-Octavian, Pop; Petit, Christophe

doi:10.1016/j.conbuildmat.2015.12.020

Cited by 21 publications

(5 citation statements)

References 32 publications

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“…Nevertheless, road pavements are subjected to cyclic traffic loads with magnitudes considerably lower than those that cause the interface failure during static shear tests. In this sense, static (i.e., monotonic) shear tests can be used for quality assessment of the interlayer bonding properties at failure, whereas the adoption of cyclic shear tests can offer a more complex evaluation of interlayer bonding [34][35][36][37]. Moreover, cyclic shear test results can be used for modeling or pavement design purposes.…”

Section: Introductionmentioning

confidence: 99%

Shear-Torque Fatigue Performance of Geogrid-Reinforced Asphalt Interlayers

et al. 2020

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Interlayer reinforcement systems represent a valid solution to improve performance and extend the service life of asphalt pavements, reducing maintenance costs. The main issue is that the presence of reinforcement may hinder the full transmission of stresses between asphalt layers, reducing the overall pavement bearing capacity. This study aimed at evaluating the mechanical behavior of geogrid-reinforced asphalt interlayers under cyclic shear loading. To this purpose, a trial section, characterized by three types of interface (reinforced with carbon fiber grid, reinforced with glass fiber grid and unreinforced), was built. Cores were taken from the trial section to carry out shear-torque fatigue tests. Static Leutner shear tests were also performed on cored specimens having the same interface configuration. From data gathered in the present study, shear-torque fatigue tests have proved to be a powerful tool for investigating reinforced specimens. Results clearly ranked the investigated materials, showing that the glass fiber grid has the lowest shear fatigue performance in comparison with the other two interfaces at 20 °C. However, the shear fatigue resistance of glass fiber grid increases significantly at 10 °C. Finally, an interesting correlation was found between cyclic and static shear test results that should be better investigated in future studies.

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Section: Introductionmentioning

confidence: 99%

Shear-Torque Fatigue Performance of Geogrid-Reinforced Asphalt Interlayers

et al. 2020

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“…A speckle pattern, as the one described in section 2.2, is usually applied on the samples surface [31]. DIC has been used for the study of asphalt concretes cracking behavior [32] and rarely for the study of interfaces [33]. It has proved to be a consistent tool in the study of deformations of many materials such as cement concrete [34,35], glass [36] or metals [37].…”

Section: Analysis From Digital Image Correlationmentioning

confidence: 99%

“…In the analysis method presented in this paper, the interface thickness is considered nil, corresponding to a structural point of view. However, it is also possible to use DIC to look at the interface from a closer range and to define the thickness of the interfacial transition zone [33]. The latter approach can be used to model interfaces at a smaller scale, taking precisely into account aggregate interlocking.…”

Section: Analysis From Digital Image Correlationmentioning

confidence: 99%

2T3C HCA, a new hollow cylinder device using Digital Image Correlation to measure properties of interfaces between asphalt layers

Attia

Benedetto

Sauzéat

et al. 2020

Construction and Building Materials

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“…In recent years, these methods have become major tools to inspect and characterize the mechanical response of such materials. The main full-field measurement methods that are used by the pavement community are the digital image correlation (DIC) [3][4][5] and more recently the grid method (GM) [6,7]. This last technique was used here because it exhibits a good compromise between spatial resolution and measurement resolution [8], which is crucial here, the material under investigation being highly heterogeneous.…”

Section: Extended Abstractmentioning

confidence: 99%