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The wear of Stone Mastic Asphalt due to slow speed high stresssimulated laboratory trafficking

Woodward, David, Millar, Phillip, Lantieri, Claudio, Sangiorgi, Cesare and Vignali, Valeria (2016) The wear of Stone Mastic Asphalt due to slow speed high stresssimulated laboratory trafficking. Construction and Building Materials, 110 . pp. 270-277. [Journal article]

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URL: http://www.sciencedirect.com/science/article/pii/S0950061816300903

DOI: 10.1016/j.conbuildmat.2016.02.031


This paper summarizes a laboratory investigation into the wear of Stone Mastic Asphalt road surfacingmaterial. Review of harmonized European test methods found no specific Wear Test and this is an important knowledge gap relating to laboratory prediction. The UK Wear Test using the Road Test Machine was applied to assess Stone Mastic Asphalt test specimens. This uses full size pneumatic tires to wear asphalt test specimens, under slow speed high stress conditions. This found 14 mm and 10 mm SMA to behave in similar ways. Relationships between variables for newly compacted test specimens quickly change with the onset of simulated trafficking. This raises issues with laboratory investigations that do not involve some aspect of tire/test specimen wear at their interface. Contact area is a better property to measure than macrotexture. Poor relationships between contactarea and pendulum tester suggest that either something additional at the contact interface has to be measured or there are limitations with the pendulum tester. More research is required to better understand wear at the tire–asphalt interface and the prediction/measurement/monitoring/modeling of properties such as skid resistance, rolling resistance and noise generation.

Item Type:Journal article
Keywords:SMA, simulated trafficking, 3d modelling, surface parameters
Faculties and Schools:Faculty of Art, Design and the Built Environment
Faculty of Art, Design and the Built Environment > School of the Built Environment
Research Institutes and Groups:Built Environment Research Institute
Built Environment Research Institute > Studies Allied to Built Environment Research (SABER)
ID Code:33379
Deposited By: Dr David Woodward
Deposited On:24 Feb 2016 10:15
Last Modified:11 Jul 2017 09:20

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