Quantify Shape, Angularity and Surface Texture of Aggregates Using Image Analysis and Study Their Effect on Performance

Details

• Creators:
  Little, Dallas ; Button, Joe ; Jayawickrama, Priyantha W. ; Solaimanian, Mansour ; Hudson, Barry
• Corporate Creators:
  Texas Transportation Institute. Texas A&M University
• Corporate Contributors:
  Texas Department of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Aggregates
  • Aggregates by shape and surface texture
  • Angularity
  • Quality control
  • Image analysis
  • Performance
  • Testing
  • Flat and Elongation
  • Aggregate Angularity
• Publication/ Report Number:
  FHWA/TX-06/0-1707-4
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Texas
• Edition:
  August 2001 – July 2003
• Corporate Publisher:
  Texas Transportation Institute. Texas A&M University
• Abstract:
  There is a consensus among researchers that the aggregate shape properties affect performance, but a debate has a risen over the suitability of physical tests to quantify the related shape property. Most of the current physical tests are indirect methods of measuring the shape property of aggregates. Also, some of the current physical test methods are laborious and time-consuming, and there is a need for better methods that are accurate and rapid in measuring the aggregate shape properties. Recent improvements in acquisition of digital images and their analysis provide unique opportunities for describing shape and texture of particles in an automated fashion. Two independent systems are presented for capturing angularity and texture images and are analyzed with the help of the aggregate imaging system (AIMS). The goal is to measure surface properties of both coarse and fine aggregates and relate these properties to performance. In addition, AIMS shape analysis results are compared to other physical tests.
• Format:
  PDF
• Funding:
  0-1707
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/86355/dot_86355_DS1.pdf
• File Type:
  [PDF - 1.72 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:fc26079f20e8126802e9336a2b9b91780cf763abecbfc9aecd2da501c88cccd352e0dbb3e99382a55c6ec1ab1aab68f5cb726fb3ebf2d70df9d03d16a1de34e0