Traffic open time prediction of fog seal with sand using image processing technology

Abstract

Abstract Fog seal with sand (FSS) became a promising technique for the preventive maintenance of flexible pavements. However, there is no quick and effective test method to evaluate whether it is possible to open the road to traffic shortly after the rehabilitation work. This study aims to introduce a new evaluation method to confirm the exact traffic opening time. In this paper, experimental works were performed based on the empirical tests, in terms of penetration, ductility, softening point, viscosity, permeability, and sand optimization tests to determine the best material. Evaporation and load abrasion tests were conducted to attain essential information that will help in establishing the new evaluation method and standard. Meanwhile, Damping test was conducted to prepare the stained pad specimens for the image analysis using Image Processing Technology (IPT). Results show that Material C (from SealMaster) had the best performance of rejuvenation and permeability. In addition, when the application rate ranged from 1.4 kg/m2 to 1.68 kg/m2 and the temperature interval ranged from 20 °C to 40 °C, it took four hours or more to complete the curing process. Finally, 2% of the stained pixel was confirmed as a terminal condition. A standard protocol based on the damping test and IPT has been established to decide the exact curing time required prior to opening the road for traffic.