Mobility of dry granular flows of varying collisional activity quantified by smart rock sensors

Author:

Coombs S.P.1,Apostolov A.2,Take W.A.1,Benoît J.3

Affiliation:

1. GeoEngineering Centre at Queen’s–RMC, Department of Civil Engineering, Queen’s University, Kingston, ON K7L 3N6, Canada.

2. Geocomp Corporation, 125 Nagog Park, Acton, MA 01720, USA.

3. Department of Civil Engineering, University of New Hampshire, Durham, NH, USA.

Abstract

Highly instrumented particles (i.e., “smart rocks”) were included in monodisperse dry granular landslide experiments to quantify the collisional nature of such flows and to investigate the influence of collisional flow on the mobility of landslides. The total number of particles comprising a constant source volume of 0.4 m3 was varied by filling the volume with monodisperse particles of nominal diameters of 3, 6, 13 or 25 mm. Successively raising the total particle count resulted in flows that were increasingly thick relative to the respective particle size. Raw resultant acceleration data from the embedded smart rock sensors indicate that for each increase in grain size, there were increases in both the magnitude and frequency of particle collisions. Light detection and ranging (LiDAR)-generated point clouds of the landslide deposits indicated that increases in mobility and spreading, compared using differences in travel angle, were directly proportional to increases in collisional activity. By changing the size of the landslide particles from 3 to 25 mm, the travel angle at the gravity centre (αg) was observed to decrease from 27.8° to 25.3° (Δαg = −9.0%) and the Fahrböschung angle (α) was observed to decrease from 25.0° to 21.4° (Δα = −14.4%).

Publisher

Canadian Science Publishing

Subject

Civil and Structural Engineering,Geotechnical Engineering and Engineering Geology

Reference24 articles.

1. Abeywardana, D.K., Hu, A.P., and Kularatna, N. 2009. Design enhancements of the smart sediment particle for riverbed transport monitoring. In Proceedings of Industrial Electronics and Applications, ICEA 2009. pp. 336–441. 10.1109/ICIEA.2009.5138224.

2. Dry granular flows down an inclined channel: Experimental investigations on the frictional-collisional regime

3. Apostolov, A. 2016. Development and testing of motion tracking “Smart Rock” devices for geotechnical applications. M.S. thesis, University of New Hampshire, Durham, N.H.

4. Runout transition and clustering instability observed in binary-mixture avalanche deposits

5. Observations of grain-scale interactions and simulation of dry granular flows in a large-scale flume

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