| Issue |
EPJ Web Conf.
Volume 249, 2021
Powders & Grains 2021 – 9th International Conference on Micromechanics on Granular Media
|
|
|---|---|---|
| Article Number | 11001 | |
| Number of page(s) | 4 | |
| Section | Geomaterials | |
| DOI | https://doi.org/10.1051/epjconf/202124911001 | |
| Published online | 07 June 2021 | |
https://doi.org/10.1051/epjconf/202124911001
Elastic wave velocity and attenuation in granular material
1
College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China.
2
Multi Scale Mechanics, Faculty of Engineering Technology, University of Twente, Enschede, Netherlands.
3
Construction Management & Engineering, Faculty of Engineering Technology, University of Twente, Enschede, Netherlands.
* Corresponding author: jiafan_kv@163.com
Published online: 7 June 2021
Discrete Elements Method simulations are carried out to investigate waves propagation in isotropic, frictional granular media. The focus is on the effects of confining pressure, microstructure and input frequency on both wave velocity and attenuation. The latter is described via the seismic quality factor Q and three different measurement approaches are compared, in time and frequency domain. The simulation data validate previous findings on the scaling of wave velocity with confining pressure and coordination number. The quality factor Q shows a non-monotonic behavior with input frequency.
A video is available at https://doi.org/10.48448/b3es-6f75
© The Authors, published by EDP Sciences, 2021
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.