Predicting Field Performance of Skid Resistance of Asphalt Concrete Pavement

摘要

Long term abrasion due to traveling vehicle occurring on the asphalt concrete pavement can reduce the friction, which in term can increase the risk of highway accident. This work presents a predictive degradation model of skid resistance for in-service asphalt pavement surface based on laboratory polishing test results using the commercial grade asphalt polishing machine, characteristics of aggregate gradation curve, and field traffic conditions represented by average daily traffic. A nonlinear convex power function is used to form the prediction formula, within which, two parameters named "time index" and "scale index" are assumed to have first order relationship with all predictors. Validation of the developed prediction models are presented by comparisons between the predicted values and field measured values for five pavement sections from Ohio highway system. The prediction results show a good consistency between field observations and model response values. Using the predictive model and assuming that abrasion and polishing is the controlling process in pavement functionalities and performance; then life prediction of an asphalt concrete pavement can be determined.