Quantification of Specific Surface Area of Aggregates Using an Imaging Technique

In order to quantify specific surface areas of different sieve size aggregates, an imaging method is proposed. The following steps are included in the procedure for using the proposed method to determine the specific surface areas of aggregate particles: 1) aggregate separation by standard sieve sizes; 2) aggregate particle placement in containers and particle binding through resin injection; 3) obtaining one to four cut planes by sawing the aggregate/resin specimen; 4) taking the aggregate particle images from the cut planes by using an image analyzer; and 5) using images to determine specific surface area and other aggregate particle properties, such as slenderness ratio and roughness. In order to determine the specific surface areas of a crushed granite aggregate sample, the proposed method was used, with particle size ranging from passing 19mm to #50 sieve. There was comparison of test results with approximate specific surface areas for different aggregate sizes the aggregate industry commonly uses. The basis of the approximate specific surface areas was that the average specific sphere surface area having diameters equal to the corresponding passing and retaining sieve opening sizes. The proposed methods determined higher specific surface areas, than those of approximate values, particularly for the aggregates passing #16, #30, and #50 sieve sizes. The reason that the proposed method determined higher specific surface areas was primarily due to crushed aggregate particle irregular shape and rough texture. The proposed method can be used for aggregate property quantification, including roughness, slenderness ratio, roundness, and specific surface area, in the laboratory for aggregate property quality control.

  • Availability:
  • Authors:
    • Wang, Linbing
    • Lai, James S
  • Publication Date: 2009-1


  • English

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  • Accession Number: 01140820
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 21 2009 1:20PM