Development of a rapid measurement system for coarse aggregate morphological parameters

Publication date: Available online 13 August 2019Source: ParticuologyAuthor(s): Hejun Zhu, Huaiying Fang, Yuanyuan Cai, Ning LvAbstractMorphological parameters of coarse aggregates, including the angularity index (AI), flat and elongated ratio, flatness ratio, and sphericity, strongly affect the performance of asphalt concrete. A device must be developed to efficiently and accurately measure these parameters. Herein, a charge-coupled device camera and a linear profile scanner are combined to evaluate the parameters. The AI is calculated using three methods. The results show that the fitted-ellipse method provides superior results among the three AI measurement methods. Moreover, the use of a linear profile scanner improves the AI measurement accuracy. Therefore, the proposed combination has high measurement efficiency and is suitable for batch inspections.Graphical abstract

Source: Particuology - August 14, 2019 Category: Science Source Type: research