Session

Civil Engineering, Infrastructure and Environment

Description

Silica sand is widely used as a raw material in the manufacture of building and construction products. Particle shape parameters such as sphericity and roundness were determined using both the Krumbein-Sloss diagram and the ImageJ processing algorithm. A total of 10 samples from production plants were comprehensibly analyzed. Olympus SZX16 microscope was used for image acquisition. Image analysis was performed separately for each grain size fraction ranging from 0.063 mm up to 2.0 mm. The microscope images showed that there was a visible difference in color and shape between manufactured sands. For sand shape parameters, the computerized method was significantly faster and with a high probability of accuracy compared to the Krumbein-Sloss diagram method.

Keywords:

sphericity, circularity, roundness, silica sand, microscopy, ImageJ

Session Chair

Muhamet Ahmeti

Session Co-Chair

Feti Selmani

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-550-47-5

First Page

1

Last Page

6

Location

UBT Kampus, Lipjan

Start Date

30-10-2021 9:00 AM

End Date

30-10-2021 10:30 AM

DOI

10.33107/ubt-ic.2021.285

Included in

Engineering Commons

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Oct 30th, 9:00 AM Oct 30th, 10:30 AM

Particle shape analysis of industrial sand using traditional and computational geometry methods

UBT Kampus, Lipjan

Silica sand is widely used as a raw material in the manufacture of building and construction products. Particle shape parameters such as sphericity and roundness were determined using both the Krumbein-Sloss diagram and the ImageJ processing algorithm. A total of 10 samples from production plants were comprehensibly analyzed. Olympus SZX16 microscope was used for image acquisition. Image analysis was performed separately for each grain size fraction ranging from 0.063 mm up to 2.0 mm. The microscope images showed that there was a visible difference in color and shape between manufactured sands. For sand shape parameters, the computerized method was significantly faster and with a high probability of accuracy compared to the Krumbein-Sloss diagram method.