Abstract
We perform coupled fluid-particle simulations to understand the granular collapse in an ambient fluid (in particular, water) with a wide range of initial aspect ratios. We observe both similar and distinct features in underwater collapses compared to their dry counterparts. As aspect ratio a increases, the normalized runout distance follows a piecewise power-law growth, transitioning at a=2.5. We associate this transition with the different growth rates of kinetic energy (with a) in vertical and horizontal directions. The ability of utilizing available energy for horizontal motion becomes limited when a>2.5. Moreover, the front propagation during underwater collapses can be well scaled by using the initial column height as length scale and considering a reduced gravity (due to buoyancy) in timescale. Under the reduced gravity, the initial fall of tall columns is found to be ballistic, consistent with dry collapses. On the other hand, underwater collapses (especially for large a) exhibit unique dynamics due to the presence of water. The eddies generated in water, which may carry considerable fluid inertia, tend to erode the surface of the granular layer, thus modifying the deposit morphology. The energy conversion is also affected by the ambient fluid. While water obviously consumes energy from the granular phase through fluid-particle interactions, it actually increases the efficiency of energy conversion from vertical to horizontal directions. The latter effect compensates the difference of runout distance between underwater and dry collapses. © 2018 American Physical Society.
| Original language | English |
|---|---|
| Article number | 042901 |
| Journal | Physical Review E |
| Volume | 98 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 9 Oct 2018 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].Funding
The work was supported by Research Grants Council of Hong Kong (Grant No. 17203614) and FAP-DF, Brazil. This research was conducted in part using the research computing facilities and advisory services offered by Information Technology Services, The University of Hong Kong.
RGC Funding Information
- RGC-funded
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