Abstract
Pavement management activities consist mainly of three sequential yet interconnected processes: condition assessment, performance prediction and needs analysis. On this basis, knowledge of the evolution of skid resistance over time is important for pavement maintenance/rehabilitation planning. Seasonal and long term variations have a significant effect on skid resistance evolution. In the present study this effect is thoroughly investigated by modelling field data to provide a structure for the evolution of skid resistance in asphalt pavements. The considered field data includes the results of skid resistance measurements that were performed along 29 highways pavement sections of similar asphalt mix properties, with a fixed slip system (Grip Tester), over a period of four years and during different seasons. The developed model addresses that skid resistance is strongly related to the past level of surface friction, traffic, temperature and precipitation. The model was verified with a high degree of statistical certainty ensuring that mistakes have not been made in implementing the model. Furthermore, it was validated as its predictions have matched additional experimental data, with high precision (95% confidence level). This result produces evidence in support of the statement that the developed model provides accurate information about the variations of skid resistance in asphalt pavements.
Highlights
Skid resistance is one of the most important pavement surface characteristics, as it is associated with both pavement serviceability and road safety
The present study investigates the effect of these factors on skid resistance by modelling field data to provide a structure for the evolution of skid resistance in asphalt pavements
Other models have been developed for predicting the low skid resistance in terms of Skid Number (SN) during fall from friction measurement at any time during the year, with the hypothesis that seasonal variations are caused by polishing of microtexture and wear of macrotexture (Saito, Henry 1983)
Summary
Skid resistance is one of the most important pavement surface characteristics, as it is associated with both pavement serviceability and road safety. As skid resistance of a pavement surface decreases, the accident rate increases (Kuttesch 2004) This road safety issue is further amplified on wet pavements because the contact between the tires and the road is reduced and the water acts as a lubricant (Wilson 2006). It is vital for road authorities to know when surface friction will reach the minimum acceptable level. For planning pavement maintenance and the prioritization of friction restoration, the knowledge of the evolution of skid resistance, in order to predict when a pavement’s friction will reach the minimum acceptable level, is required. The present study investigates the effect of these factors on skid resistance by modelling field data to provide a structure for the evolution of skid resistance in asphalt pavements.
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