| Issue |
EPJ Web Conf.
Volume 140, 2017
Powders and Grains 2017 – 8th International Conference on Micromechanics on Granular Media
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 4 | |
| Section | Granular flow | |
| DOI | https://doi.org/10.1051/epjconf/201714003001 | |
| Published online | 30 June 2017 | |
https://doi.org/10.1051/epjconf/201714003001
Estimation of the velocity at the impact of high rate sliding granular masses
University of Rome ‘Tor Vergata’, Department of Civil Engineering, Via del Politecnico 1, 00133 Rome, Italy
* Corresponding author: fdrfnc@gmail.com
Published online: 30 June 2017
Two analytical block models to estimate the maximum velocity reached by granular flows are proposed. The first one models the speed evolution of coarse-grained materials flows (e.g. debris flows, avalanches); it is based on the power balance of a granular mass sliding along planar surface, written by taking into account the volume of the debris mass, an assigned interstitial pressure, the energy dissipation due to (i) grain inelastic collisions (‘granular temperature’ within a basal ‘shear layer’); (ii) friction along sliding surface; (iii) fragmentation of grains. The second model allows to simulate the speed evolution of fine-grained materials flows (e.g. mudflows, quick clays) by taking into account the dissipation of the excess pore water pressure due to consolidation phenomena. Finally, the comparison between the results obtained through the proposed models and field and laboratory measures is carried out.
© 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.