Influence of the Unit Content and Grading Distribution of Fine Aggregates on the Long-term Skid Resistance of Concrete Pavement

Abstract

This study analyzed the influences of the unit content (UC) and grading distribution (FM) of fine aggregates on the long-term skid resistance (SR) of concrete pavement. For this purpose, laboratory specimens using fine aggregates with varying UCs and FMs were made. This study used to measure the SR using a dynamic friction tester (DFT). Additionally, three-dimensional (3D) profile data of the specimen surfaces were collected using a 3D laser profilometer after specific intervals of surface polishing. This study examined the characteristics of SR by surface amplitude indices at specific wavelengths. Furthermore, this paper presents an SR prediction model through multiple linear regression analysis using surface amplitude indices. The results revealed that a combination of micro- and macrotexture amplitude indices at specific wavelengths is suitable for expressing SR. This study also showed that both the UC and FM of fine aggregates have a significant influence on long-term SR. Furthermore, the evaluation of SR using the predicted indices showed the sharpness, shape, and roughness interaction at specific wavelengths with SR. This study recommends that road engineers use this information for better understanding.