Size Distribution Analysis of Aggregates using LiDAR Scan Data and an Alternate Algorithm
In the fields of mining, construction, geology, material science and etc., the grain size or grain size distribution emerges as the most important parameter in understanding and controlling of various processes and also in determination of their success. Screening and image analysis are the most frequently used methods for this purpose.
In this study, it is aimed to determine particle size distribution of aggregates by using point cloud data obtained by terrestrial laser scanning method and developed algorithm. For this purpose, aggregate mixtures with different particle sizes were prepared in the laboratory, then the surfaces of these mixtures were scanned with a laser scanner to obtain point cloud data. The point cloud data were analyzed with the developed algorithm and the particle size distribution curves of the mixtures were obtained. These curves were compared with those obtained by sieve analysis and found to be very compatible with each other.
I. C. Engin and N. H. Maerz, "Size Distribution Analysis of Aggregates using LiDAR Scan Data and an Alternate Algorithm," Measurement: Journal of the International Measurement Confederation, vol. 143, pp. 136-143, Elsevier B.V., Sep 2019.
The definitive version is available at https://doi.org/10.1016/j.measurement.2019.04.071
Geosciences and Geological and Petroleum Engineering
Keywords and Phrases
Aggregate; Algorithm; Laser scanning; LiDAR; Size distribution
International Standard Serial Number (ISSN)
Article - Journal
© 2019 Elsevier B.V., All rights reserved.
01 Sep 2019