Numerical and physical modeling of granular flow

Vallejo, Luis E.; Estrada, Nicolás; Taboada, Alfredo; Caicedo, Bernardo; Silva, J

doi:10.1201/noe0415415866.ch207

Cited by 7 publications

(4 citation statements)

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“…The geometric, 10.1680/jgeot.18.p.260 kinematic, anddynamic similarities formulated between the scale model and the prototype scenario, are shown in Table 1 (Garnier et al, 2007). For the case of granular flows in the centrifuge, flow velocity is considered a non-scalable variable (Vallejo et al, 2006;Bowman et al, 2012;Bryant et al, 2015), implying that velocities observed in the scale model are equal to those that would be observed in a prototype N times larger. However, this reasoning becomes problematic when a prediction of flow velocity is needed prior to the experiment and during the definition of the model-scaling factor.…”

Section: Centrifugal Acceleration Fieldmentioning

confidence: 99%

“…In spite of a well-established set of scaling principles for static and dynamic systems, the scaling principles formulated for kinematic processes are still under validation. Exploratory studies in this direction have been conducted in the past by Vallejo et al (2006), Brucks et al (2007), Gue (2012), Bowman et al (2012), Ng et al (2017), and Cabrera & Wu (2017a). All have faced challenges from a technological point of view (i.e., material mixing, triggering mechanism, feeding system, channel instrumentation), and theoretical complications arising from estimating the extent to which the curvature of the centrifugal acceleration field, and the non-inertial reference frame, affect the resultant mass flows and their relation with prototype events (Bryant et al, 2015;Cabrera & Wu,2016).…”

Section: Introductionmentioning

confidence: 99%

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Granular flow simulation in a centrifugal acceleration field

2020

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The use of the geotechnical centrifuge to obtain scaled physical models is a useful tool in geomechanics. When dealing with granular flows, however, the traditional scaling principles are challenged by the complex rheology of the material and by the non-trivial effects of the Coriolis apparent acceleration. In a laboratory centrifuge, obtaining a clear understanding of these effects is further complicated by the technical difficulties in obtaining flows in steady conditions. In this work, the scaling principles for granular flows are studied using a numerical model based on the discrete-element method. In this way it is possible to obtain a steady flow in a rotating reference frame, and to explore the variation of macroscopic properties by changing the scaling factor and the distance from the rotation centre. The outcome is compared with the prediction obtained with a continuum theory for frictional flows. Results show that granular flows scale consistently only when the Coriolis acceleration is negligible, and are severely altered otherwise. The augmented acceleration field is also responsible for an alteration of the flow state, driving the system towards the inertia-driven collisional regime.

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Section: Centrifugal Acceleration Fieldmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Granular flow simulation in a centrifugal acceleration field

2020

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“…In gravity-driven mass flows, the influence of gravity is being increasingly studied by means of an augmented centrifugal acceleration field (Arndt et al, 2006;Bowman et al, 2010;Dorbolo et al, 2013;Gue et al, 2010;Imre et al, 2010;Mathews, 2013;Vallejo et al, 2006). However, the orientation of the model relative to the centrifugal acceleration field has strong effects on the resultant flow dynamics as presented in Bryant et al (2015).…”

Section: Introductionmentioning

confidence: 96%

Space–time digital image analysis for granular flows

Cabrera¹,

Wu²

2017

International Journal of Physical Modelling in Geotechnics

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Digital image analysis (DIA) groups the post-processing methods that study the kinematics recorded by a digital camera. The DIA may be compromised by the flow constraints that could lead to an arbitrary definition of the region of interest and arbitrary selection of the representative sequence of frames. This paper presents a space-time technique that is able to synthesise a sequence of frames, abstract the flow features and identify the representative domain in space and time. The space-time technique is implemented in the study of free-surface dry sand flows down an inclined plane in a geotechnical centrifuge. The effect of orientation of the inclined plane in a centrifugal acceleration field is investigated. This implementation enables a standardised study of granular flows, delimiting the particle image velocimetry analysis to a representative domain in the flow sequence. The resultant space-time representation successfully identifies the effective flow width, and allows the representation of transient flow processes such as the flow-front evolution and the initiation of deposition on the inclined plane. Furthermore, it is found that the orientation of the sand flows in the centrifugal acceleration field may contribute to the occurrence of material deposition at slope angles higher than the material friction angle.

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“…Recently, the technique has been used to simulate the conditions prevalent in geophysical granular mass movements such as landslides and debris flows [e.g. [2][3][4]. In contrast to traditional laboratory-scale studies of large granular mass movements, which usually rely on Froude scaling for initial flow conditions [e.g.…”

Section: Introductionmentioning

confidence: 99%

DEM-LBM insights into unsteady grain-fluid collapses on a geotechnical centrifuge

Webb,

Turnbull,

Leonardi

2024

Preprint

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This study investigates the dynamics of granular flows in geotechnical centrifuge models, focusing on the effects of centrifugal and Coriolis accelerations. While conventional laboratory-scale investigations often rely on Froude scaling, geotechnical centrifuge modelling offers a unique advantage in incorporating stress-dependent processes that fundamentally shape flow rheology and dynamics. Using the Discrete Element Method (DEM) and the Lattice-Boltzmann Method (LBM), we simulate the collapse of a just-saturated granular column within a rotating reference frame. The model’s accuracy is validated against expected trends and physical experiments, demonstrating its strong performance in replicating idealised collapse behaviour. Acceleration effects on both macro- and grain-scale dynamics are examined through phase front and coordination number analysis, providing insight on how centrifugal and Coriolis accelerations influence flow structure and mobility. This work enhances our understanding of granular flow dynamics in geotechnical centrifuge models by introducing an interstitial pore fluid and considering multiple factors that influence flow behaviour over a wide parameter space.

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Numerical and physical modeling of granular flow

Cited by 7 publications

References 0 publications

Granular flow simulation in a centrifugal acceleration field

Granular flow simulation in a centrifugal acceleration field

Space–time digital image analysis for granular flows

DEM-LBM insights into unsteady grain-fluid collapses on a geotechnical centrifuge

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