Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/10666
Authors: Cagnoli, Bruno* 
Piersanti, Antonio* 
Title: Stresses at the base of dry and dense flows of angular rock fragments in 3-D discrete element modeling: Scaling of basal stress fluctuations versus grain size, flow volume and channel width
Journal: Journal of Volcanology and Geotherma Research 
Series/Report no.: /349 (2018)
Issue Date: 2018
DOI: 10.1016/j.jvolgeores.2017.11.003
Abstract: We simulate granular flows of angular rock fragments by means of a three-dimensional discrete element modeling to study the basal stresses that these flows exert on the subsurface. These granular flows have different grain sizes and different flow volumes and they model dry rock avalanches and dense pyroclastic flows. These flows travel on four different concave–upward chutes that represent channels on a mountainside or on the flank of a volcano. Each chute has a different width. The stress data demonstrate the validity of a linear relation between two scaling parameters: D and ψ. Parameter D is a scaled basal stress deviation that is equivalent to a scaled particle agitation. Particle agitation is ultimately responsible for the energy dissipation that governs the mobility of dense geophysical flows in nature. Parameter ψ contains grain size, flow volume and channel width. This second parameter is equal to the product of the reciprocal of characteristic numbers of fragments in granular flows. Since these numbers of particles are dimensionless, the linear relation is valid at any scale, either in the laboratory or in nature.
Appears in Collections:Article published / in press

Files in This Item:
File Description SizeFormat Existing users please Login
Cagnoli and Piersanti 2018.pdf1.15 MBAdobe PDF
Cagnoli and Piersanti JVGR 2018 preprint.pdfOpen Access preprint513.48 kBAdobe PDFView/Open
Show full item record

WEB OF SCIENCETM
Citations 20

1
checked on Feb 10, 2021

Page view(s)

222
checked on Apr 27, 2024

Download(s)

45
checked on Apr 27, 2024

Google ScholarTM

Check

Altmetric