Study of an Image-Based Gradation Measurement Techniques of the Asphalt Mixture

Gradation is one of the key factors affecting various performances of asphalt pavement. Current gradation testing methods, extracting-sieving method and burning-sieving method, have many disadvantages since some important properties of the aggregate particles may not be obtained due to the lack of an objective way of quantifying critical aggregate properties. This paper uses the digital image processing techniques to carry out a series of image processing operations to the side images of the asphalt mixture specimen girder, and calculates the passing rates of aggregate particles with different sizes according to the geometrical characteristics of each aggregate particle after segmentation of the aggregate particles. Furthermore, it draws the gradation curve according to the passing rates. The paper also carries out an error analysis to the measured data. The result shows that the method based on image processing is worth being promoted in practice.

• Record URL:
  • https://doi.org/10.1061/41064(358)295
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784410646
• Supplemental Notes:
  • © 2009 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Sun, Z Y
  • Wang, C F
  • Sha, A M
• Conference:
  • Ninth International Conference of Chinese Transportation Professionals (ICCTP)
  • Location: Harbin China, United States
  • Date: 2009-8-5 to 2009-8-9
• Publication Date: 2009

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1-8
• Monograph Title: ICCTP 2009: Critical Issues In Transportation Systems Planning, Development, and Management

Subject/Index Terms

• TRT Terms: Aggregate gradation; Asphalt mixtures; Image analysis; Image processing; Test procedures
• Subject Areas: Highways; Materials; Pavements;

Filing Info

• Accession Number: 01925945
• Record Type: Publication
• ISBN: 9780784410646
• Files: TRIS, ASCE
• Created Date: Jul 29 2024 4:27PM