Evaluation of different digital image processing software for aggregates and hot mix asphalt characterizations

Asphalt pavement performance is related to design and construction of durable layers, which require adequate materials selection. Several studies have been developed on characterizing aggregates and hot mix asphalt (HMA) internal structure through digital image processing (DIP). This paper aimed to characterize three different aggregates: granitic, steel slag, and construction and demolition waste (CDW), and HMA internal structure composed by those aggregates with different gradations. The aggregates were also evaluated with respect to flat and elongated particles percentage and roundness. The mixes were analyzed with respect to the number of contact points between aggregates, particles orientation and segregation potential. The results for different software show that the use of DIP leads to more complete and accurate results. The alternative materials investigated performed well in terms of Superpave specifications and HMA mechanical characterization.