A Study to Assess the Effect of Asphalt Mixture on the Photocatalytic Performance: A Simulation

This study reports the simulation of a photocatalytic system process and the photocatalytic property of self-cleaning asphalt concrete (SCAC) with four typical asphalt mixtures. A photocatalytic system was simulated based on the pollutant concentration data, which were collected on three types of city roads. Two photocatalytic indexes were proposed to evaluate the photocatalytic property of self-cleaning asphalt concrete: relative decomposition rate and degradation capacity. Four typical asphalt mixtures were prepared with SBS/TiO۲ modified bitumen: AC-۱۳a asphalt mixture (AC-۱۳a), AC-۱۳b asphalt mixture (AC-۱۳b), open-graded fraction courses (OGFC), and porous asphalt concrete (PAC). The performance of the SCAC samples was investigated using the cracking resistance, rutting resistance, and moisture susceptibility. The results show that the degradation capacity of CO is approximately ۲۰ times more than that of HC and CO . The air voids of SCAC, which is exposed to ultraviolet rays, contribute to the photocatalytic indexes in the simulated system in this study. In addition, the SBS /TiO۲ modified bitumen does not improve the high- or low-temperature property and water stability of SCAC.

Keywords:

Exhaust pollutants , Self-cleaning asphalt concrete , photocatalytic system simulation , Photocatalytic evaluation indexes