| Issue |
EPJ Web Conf.
Volume 140, 2017
Powders and Grains 2017 – 8th International Conference on Micromechanics on Granular Media
|
|
|---|---|---|
| Article Number | 05008 | |
| Number of page(s) | 4 | |
| Section | Particle Properties | |
| DOI | https://doi.org/10.1051/epjconf/201714005008 | |
| Published online | 30 June 2017 | |
https://doi.org/10.1051/epjconf/201714005008
Contour fractal analysis of grains
1 Università degli Studi Niccolò Cusano, Dipartimento di Ingegneria, 00166 Rome, Italy
2 Università degli Studi di Roma “Tor Vergata”, Dipartimento di Ingegneria Civile e Ingegneria Informatica, 00133 Rome, Italy
* Corresponding author: giulia.guida@unicusano.it
Published online: 30 June 2017
Fractal analysis has been shown to be useful in image processing to characterise the shape and the grey-scale complexity in different applications spanning from electronic to medical engineering (e.g. [1]). Fractal analysis consists of several methods to assign a dimension and other fractal characteristics to a dataset describing geometric objects. Limited studies have been conducted on the application of fractal analysis to the classification of the shape characteristics of soil grains. The main objective of the work described in this paper is to obtain, from the results of systematic fractal analysis of artificial simple shapes, the characterization of the particle morphology at different scales. The long term objective of the research is to link the microscopic features of granular media with the mechanical behaviour observed in the laboratory and in situ.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.