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Abstract

  The surface texture of the pavement plays a very important role in driving the frictional properties at the tire rubber-pavement interface. Particularly, the hysteretic friction due to viscoelastic deformations of rubber depends mainly on the pavement surface texture. In the present paper, the effect of micromechanical pavement surface morphology on rubber block friction was brought in by comparing the friction results for three different asphalt mix morphological surfaces, named stone mastic asphalt (SMA), ultra-thin surfacing (UTS) and porous asphalt (PA). The asphalt surface morphologies of these mixes were captured by using an X-ray tomographer, from which the resulting images micromechanical finite element (FE) meshes for SMA, UTS and PA pavements were developed by means of the SimpleWare software. In the FE model, the rubber and asphalt binder were modeled as viscoelastic (VE) materials and the formulation was given in the large deformation framework. FE simulations were then carried out by using contact algorithm between rubber and the road surface. It was observed that the rubber friction inversely varies with the sliding speed and positively varies with the pressure for all the pavement morphological and stiffness conditions. Furthermore, it was observed that the highly porous pavement surface results in large dissipation of energy, hence, large rubber friction which shows that the mix characteristics of pavements have a significant effect on rubber friction.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1016/j.jtte.2017.07.004
https://academic.microsoft.com/#/detail/2513739197
https://doaj.org/toc/2095-7564
https://api.elsevier.com/content/article/PII:S2095756417303100?httpAccept=text/plain,
http://dx.doi.org/10.1016/j.jtte.2017.07.004 under the license https://www.elsevier.com/tdm/userlicense/1.0/
https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3A81f95adf-f4fd-4c3c-aada-21eb96680675,
https://repository.tudelft.nl/islandora/object/uuid:81f95adf-f4fd-4c3c-aada-21eb96680675/datastream/OBJ/download,
https://core.ac.uk/display/87822677,
https://academic.microsoft.com/#/detail/2741198469


DOIS: 10.1016/j.jtte.2017.07.004 10.3850/978-981-11-0449-7-318-cd

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Published on 01/01/2017

Volume 2017, 2017
DOI: 10.1016/j.jtte.2017.07.004
Licence: Other

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