A New Method for Characterizing Coarse Aggregate Morphology through a MATLAB Program

In order to accurately and efficiently characterizing coarse aggregate morphological features, a newly-developed approach is presented in this paper based on MATLAB program analysis of X-ray CT images. The X-ray CT images of coarse aggregates were obtained through scanning individual aggregate particles. A MATLAB program was developed to process the images and perform the Fourier analysis. The key output of the MATLAB-based imaging process is the Fourier Functions which represent the surface morphological features of coarse aggregate particles. Through this new method, a three-dimension model of coarse aggregates could be built. It was validated that the Fourier Function-based aggregate digital model had a very close similarity to its original aggregate shape. Based on the research findings, it was observed that: 1) the newly developed method had high accuracy and efficiency; 2) based on the two-dimensional and three-dimensional validation, it could be concluded that the Fourier Functions determined with the newly-developed MATLAB code were accurate and could be used to represent mineral aggregate surface morphological features.


  • English

Media Info

  • Media Type: Web
  • Pagination: pp 53-60
  • Monograph Title: Geo-China 2016: Innovative and Sustainable Solutions in Asphalt Pavements

Subject/Index Terms

Filing Info

  • Accession Number: 01609510
  • Record Type: Publication
  • ISBN: 9780784480052
  • Files: TRIS, ASCE
  • Created Date: Jul 21 2016 3:06PM