Experimental-based model for predicting the skid resistance of asphalt pavements
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The skid resistance of asphalt pavement is a major characteristic of road safety. This study aimed at the development of a model that expresses skid resistance as a function of mixture gradation, aggregate texture and traffic level. The model was developed based on comprehensive measurements and analysis of asphalt mixture surface characteristics (friction, texture and skid resistance) in the laboratory and the field. In addition, aggregates were characterised using the aggregate imaging system after different polishing intervals in the Micro-Deval. The aggregate gradation was described using the two-parameter cumulative Weibull distribution function. The developed model provides an estimate of the skid number in the field. Consequently, this model can be used by engineers to select different combinations of aggregate types and mixture designs such that the desired level of skid resistance at a given traffic level is achieved. © 2013 Copyright Taylor and Francis Group, LLC.
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