Quantification of coarse aggregate surface texture using image analysis

Tongyan Pan, Erol Tutumluer

Research output: Contribution to journalArticle

Abstract

Aggregate surface texture affects the performance of pavement and railroad track structural layers, such as the unbound aggregate base/ballast, asphalt concrete, and Portland cement concrete. A quantitative surface texture (ST) index is defined in this paper based on image analysis to measure the irregularities on the surface of coarse aggregate particles in the extent that is not characterized by the commonly used large-scale morphological descriptors, such as flatness, elongation, and angularity. Using an image analysis approach referred to as erosion and dilation, the new ST index quantifies the coarse aggregate surface irregularities at the pixel level. Samples of natural gravel and crushed aggregate were used in establishing a realistic range for the ST index independent of particle size. The effectiveness and practical applicability of the defined ST index in characterizing aggregate surface texture were evaluated by measuring surface irregularities or texture of commonly used coarse aggregate materials.

Original languageEnglish (US)
Pages (from-to)177-186
Number of pages10
JournalJournal of Testing and Evaluation
Volume35
Issue number2
StatePublished - Mar 1 2007

    Fingerprint

Keywords

  • Coarse aggregate
  • Erosion and dilation
  • Image analysis
  • Surface texture

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

Cite this