https://doi.org/10.1051/epjconf/201714002007
A 2D Fourier tool for the analysis of photo-elastic effect in large granular assemblies
Koszalin University of Technology, Department of Civil, Geodetic and Environmental Science, 74-453 Koszalin, Poland
* Corresponding author: danuta.lesniewska@tu.koszalin.pl
Published online: 30 June 2017
Fourier transforms are the basic tool in constructing different types of image filters, mainly those reducing optical noise. Some DIC or PIV software also uses frequency space to obtain displacement fields from a series of digital images of a deforming body. The paper presents series of 2D Fourier transforms of photo-elastic transmission images, representing large pseudo 2D granular assembly, deforming under varying boundary conditions. The images related to different scales were acquired using the same image resolution, but taken at different distance from the sample. Fourier transforms of images, representing different stages of deformation, reveal characteristic features at the three (‘macro-‘, ‘meso-‘ and ‘micro-‘) scales, which can serve as a data to study internal order-disorder transition within granular materials.
© 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.
