The combined effect of cohesion and finite size on the collapse of wet granular columns

Wu, Yisong; Sun, Yinghao; Wang, Dengming

doi:10.1039/d3sm01259j

Cited by 6 publications

(1 citation statement)

References 66 publications

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“…The material properties used in the current work are chosen as a common case of granular materials normally modelled at particle-scale level by the discrete element method to investigate the energy evolution during the collapse and deposition of granular columns. Indeed, Wu et al [28] used a smallscale numerical model to predict the flow mobility and runout behavior of granular materials, this was also nicely validated with an experimental work. In our ongoing work, the numerical model extends our previous investigation [15], this is also validated with a theoretical analysis.…”

Section: Numerical Simulation and Parametersmentioning

confidence: 81%

Energy evolution of gravitational-granular flows

Anh,

Manh,

Thao

et al. 2024

JSTCE

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The catastrophe of natural disasters such as landslides, is a prevalent phenomenon in natural terrain conditions in high mountainous areas; however, the mobility of such landslides has not yet well understood due to the discrete nature of material and the coming to play of water. In this paper, we numerically study the mobility of an unsaturated gravitational-granular flow, occurring on a slope-break system that contains two regions: inclined-upstream and horizontal-downstream areas, by using three-dimensional discrete element simulations. A sliding volume composed of spherical grains collapses on the first region, then plunges and deposits on the second one. The upstream-plunging length and the cohesive stress exerted on grains affect differently on the energy evolution not only in the whole process but also in different regions and directions depending on the inclination angle. These findings provide a deep understanding of the mechanism and mobility of landslides, leading to good predictions about the potential impacts of the catastrophic landslides on buildings and human lives.

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Section: Numerical Simulation and Parametersmentioning

confidence: 81%