142
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

The independent characterization and experimental study of coarse aggregate angularity

, , , , &
Pages 116-122 | Published online: 19 Oct 2019
 

Abstract

The morphological parameters of coarse aggregates, including the angularity, flat and elongated (FE) and particle size, strongly influence the performance of asphalt concrete. At present, the measurement of the angularity of coarse aggregate is affected by the particle size and the FE. To achieve independent characterization of angularity, the compression method is used to eliminate the influence of FE on angularity. In this paper, the angularity index (AI) is calculated by fitting ellipse method, which can eliminate the influence of aggregate particle size on the angularity of coarse aggregate. The research results show that the independent characterization of the angularity of coarse aggregates can improve the measurement accuracy of the angularity of coarse aggregates.

Acknowledgements

The authors are solely responsible for all remaining errors.

Additional information

Funding

The authors are thankful for the financial support provided by the Foreign Cooperation Project in Fujian Province [Grant No. 2018I1006], the Major Project of Industry and University Cooperation in Fujian Province [Grant No. 2016H6013], and the Subsidized Project for Postgraduates’ Innovative Fund in Scientific Research of Huaqiao University [Grant No. 17014080029].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 438.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.