Laboratory evaluation of aggregate polishing as a function of load and velocity. Application to the prediction of damages on skid resistance of road surfaces due to trucks and passenger cars

Kane, Malal; Zhao, Dan; De-Larrard, François; Do, Minh‐Tan

doi:10.1080/14680629.2011.649424

Cited by 32 publications

(15 citation statements)

References 3 publications

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“…There is now much evidence to support the effect of changes in the macro/micro-texture on variations in friction. These are often attributed to traffic-induced polishing and are well documented in many laboratoryconducted experiments (Do et al 2009, Chen and Wang 2011, Dunford et al 2012, Kane et al 2012, Kane et al 2013). In addition, short-and long-term environmental effects could also contribute to the variation of texture in these small scales.…”

Section: Introductionmentioning

confidence: 96%

Macro- and micro-texture evolution of road pavements and correlation with friction

Kanafi

Kuosmanen

Pellinen

et al. 2014

International Journal of Pavement Engineering

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This article features a field experiment conducted on existing road pavements to characterise macro-and micro-texture variations at actual road conditions and to substantiate links to friction values. Three-dimensional inspections of the wearing course surface of three asphalt mixes were performed during a short period of 9 months. Several statistical texture indicators, spectral analysis and photo-simulated images of surface height maps were employed to analyse macro/micro-texture evolution and to study the physical phenomena behind it. Fractal and non-fractal parameters, with a focus on Hurst exponent (H), were used in associating texture with friction. The results of texture evolution clearly state that changes in macro/microscales occur within full surface profile and not solely from the polishing phenomena of a small percentage of top surface topographies. It was demonstrated that H, as an indicator of full surface profile specification, could not be employed for road texture -friction studies at actual road conditions.

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Section: Introductionmentioning

confidence: 96%

Macro- and micro-texture evolution of road pavements and correlation with friction

Kanafi

Kuosmanen

Pellinen

et al. 2014

International Journal of Pavement Engineering

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“…The initially achieved microtexture level of the asphalt mixture can also influence the long-term polishing behavior of an asphalt road surface due to traffic, and consequently affects pavement functional performance in terms of skid resistance ( 12 ). With this in mind, the input of traffic data has been utilized by researchers to integrate into predictive models for skid resistance evolution ( 13 , 14 ).…”

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confidence: 99%

Impact of Traffic Volume on Pavement Macrotexture and Skid Resistance Long-Term Performance

Plati

Pomoni

2019

Transportation Research Record: Journal of the Transportation R

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Pavement skid resistance is influenced by both pavement macrotexture and microtexture, with the two components providing the skid resistance properties required to assist in ensuring road safety. In addition to these factors the cumulative traffic along a pavement is a known determinant factor influencing pavement surface characteristics leading to deterioration. However, previous research efforts in this area have been evaluated based on laboratory experiments that have not proven to be easily extrapolated to represent field conditions. With this in mind, the present study aims to investigate and comprehend the long-term effect of cumulative traffic on both skid resistance and macrotexture evolution based on actual field measurements. The ultimate research goal is to develop a practical approach for analysis and interpretation of in-situ performance characteristics that could be utilized by road agencies in evaluating long-term skid resistance performance. For the investigation, an 11-year field dataset consisting of three categories of pavement sections defined by their traffic volume/characteristics and geometric design was analyzed. The analysis results showed that skid resistance and macrotexture can be separated into two defined zones during their evolution, which are determinant for the remainder of the pavement service-life. In addition, the varying characteristics of the three investigated cases were presented and a sensitivity analysis performed. Overall, knowledge gained from understanding the long-term field pavement performance can provide valuable information to road agencies for on-time pavement maintenance actions that can help ensure pavement sustainability.

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“…In recent years, research studies tend to work towards correlation between laboratory assessment of skid and polishing resistance and the actual skid resistance situation in the field incorporating information on aggregate mineralogy, surface texture, traffic and climate situation into the studies (Panagouli and Kokkalis 1998, Do, Tang, et al 2007, Asi 2007, Do, Kane, et al 2009, Seneviratne et al 2009, Kane et al 2012. The main objectives of these studies are to understand the impact of employed materials and field conditions on the evolution of the skid resistance on the one hand, and how to simulate these conditions in a realistic way in the laboratory on the other hand.…”

Section: Introductionmentioning

confidence: 99%

A laboratory procedure for predicting skid and polishing resistance of road surfaces

Hofko

Kugler

Chankov

et al. 2017

International Journal of Pavement Engineering

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Skid resistance of road surfaces is an important safety parameter. Decreasing skid resistance correlates with increasing number of accidents. The presented study aims for a correlation between lab-based polishing simulation and skid resistance measurement and evolution of the skid resistance under traffic in the field. A prediction model for skid and polishing resistance based on the Wehner/Schulze device was developed. The lab procedure as a basis for the model works on the hypothesis that a maximum level of skid resistance exists that can be regenerated even from a highly polished state by sandblasting of the surface. This hypothesis was verified for an asphalt and concrete surface material. The prediction model was set up by correlating field data on skid resistance and traffic volume from 14 test sections to cores taken from these test sections and tested in the lab. A linear regression links the cumulated traffic volume in the field with the number of polishing passes in the Wehner/Schulze device. Thus, it is possible to simulate millions of wheel passes within a couple of hours in the lab to generate equal skid resistance level and predict the skid resistance level of a road surface after years under traffic. 1.1. Motivation and objectives The present situation in many road design guidelines, e.g. (FSV 2015), is to set requirements regarding the skid and polishing resistance of the coarse and/or fine aggregate fraction of a surface

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Laboratory evaluation of aggregate polishing as a function of load and velocity. Application to the prediction of damages on skid resistance of road surfaces due to trucks and passenger cars

Cited by 32 publications

References 3 publications

Macro- and micro-texture evolution of road pavements and correlation with friction

Macro- and micro-texture evolution of road pavements and correlation with friction

Impact of Traffic Volume on Pavement Macrotexture and Skid Resistance Long-Term Performance

A laboratory procedure for predicting skid and polishing resistance of road surfaces

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