Imaging based size, gradation and shape characterizations of aggregate particles used in road pavements

Erol Tutumluer, Tongyan Pan

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper presents determination of imaging based size, gradation and shape properties of natural and crushed aggregate particles commonly used in road pavements. An image analysis system, University of Illinois Aggregate Image Analyzer (UIAIA), has been developed to quantify the one, two and three-dimensional (1-D, 2-D, and 3-D) size and morphological characteristics of aggregate particles. Based on these measurements, the maximum, minimum, and intermediate dimensions of individual particles are accurately captured and used to determine the maximum and minimum sizes and gradation of an aggregate sample. With specifically developed algorithms, the 2-D morphological characteristics of aggregate particles, i.e., the flat and elongated ratio (F&E ratio), angularity, and surface texture are characterized by the use of quantitative indices depicted by the F&E ratio Index, the Angularity Index (AI), and the Surface Texture Index (ST), respectively, in the UIAIA system. Algorithms of two other 3-D quantities of an individual aggregate particle, i.e., the volume and surface area, makes the UIAIA a comprehensive imaging system for quantifying a complete set of size and morphology classes of aggregates used in road pavements.

Original languageEnglish (US)
StatePublished - 2006
Event2006 AIChE Spring National Meeting - 5th World Congress on Particle Technology - Orlando, FL, United States
Duration: Apr 23 2006Apr 27 2006

Other

Other2006 AIChE Spring National Meeting - 5th World Congress on Particle Technology
Country/TerritoryUnited States
CityOrlando, FL
Period4/23/064/27/06

Keywords

  • Aggregate
  • Angularity
  • Gradation
  • Imaging
  • Pavements
  • Shape
  • Texture

ASJC Scopus subject areas

  • General Chemical Engineering
  • General Chemistry

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