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Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
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Determination of Aggregate Surface Morphology at the Interfacial Transition Zone ITZ
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Aggregate Roundness Classification Using a Wire Mesh Method.

Sung-Sik Park1, Jung-Shin Lee1, Dong-Eun Lee2

  • 1Department of Civil Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Korea.

Materials (Basel, Switzerland)
|August 23, 2020
PubMed
Summary

A novel wire mesh method efficiently classifies aggregate particle shape based on rolling behavior. Optimal tilting angles and mesh opening sizes effectively sort aggregates by roundness, crucial for material science applications.

Keywords:
aggregateclassificationopening sizeroundnesstilting anglewire mesh

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Area of Science:

  • Materials Science
  • Geotechnical Engineering
  • Particle Technology

Background:

  • Accurate aggregate particle shape classification is vital for material performance.
  • Traditional methods can be time-consuming and subjective for large volumes.
  • Developing efficient, objective classification techniques is essential.

Purpose of the Study:

  • To introduce and validate a wire mesh method for classifying aggregate particle shape.
  • To determine optimal parameters (tilting angle, mesh opening size) for this method.
  • To correlate rolling behavior with aggregate sphericity.

Main Methods:

  • Utilized a wire mesh system with adjustable tilting angles (10°-30°) and opening sizes (6-17 mm).
  • Employed aggregates of three size ranges (11-15, 17-32, 33-51 mm) pre-classified by sphericity index.
  • Colored aggregates based on sphericity and observed their rolling distance on the inclined mesh.

Main Results:

  • Aggregate rolling distance on the wire mesh correlated with particle sphericity.
  • Optimal tilting angles were identified: 25° for 11-15 mm aggregates and 20° for larger sizes (17-32, 33-51 mm).
  • A mesh-opening-to-aggregate-size ratio of 2 proved most effective for roundness classification.

Conclusions:

  • The wire mesh method provides an effective and scalable approach for aggregate shape classification.
  • The method's efficiency is dependent on carefully selected tilting angles and mesh opening sizes.
  • This technique offers a quantifiable and objective alternative for assessing aggregate roundness.