Development of a rapid measurement system for coarse aggregate morphological parameters--颗粒学报PARTICUOLOGY

Zhu, H., Fang, H., Cai, Y., & Lv, N. (2020). Development of a rapid measurement system for coarse aggregate morphological parameters. Particuology, 50, 181-188. https://doi.org/10.1016/j.partic.2019.06.006

Development of a rapid measurement system for coarse aggregate morphological parameters

Hejun Zhu, Huaiying Fang ^*, Yuanyuan Cai, Ning Lv

College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, Fujian, China

10.1016/j.partic.2019.06.006

Volume 50, June 2020, Pages 181-188

Received 25 April 2019, Revised 18 June 2019, Accepted 20 June 2019, Available online 13 August 2019, Version of Record 7 April 2020.

E-mail: happen@hqu.edu.cn

Highlights

• A new algorithm (the fitted-ellipse method) evaluates the angularity of aggregates.

• Using a linear profile scanner improves the measurement accuracy of the angularity.

• It is possible to measure the morphological parameters accurately and quickly.

• A linear profile scanner combined with a CCD camera is suited to batch inspections.

Abstract

Morphological 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

Keywords

Charge-coupled device camera; Linear profile scanner; Angularity; Flatness ratio; Sphericity

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