Quantifying the impact of dry debris flow against a rigid barrier by DEM analyses

Shen, Weigang; Zhao, Tao; Zhao, Jidong; Dai, Feng; Zhou, Guomei

doi:10.1016/j.enggeo.2018.05.011

Cited by 140 publications

(50 citation statements)

References 37 publications

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“…The calibration focuses mainly on the dynamic properties of granular materials, e.g., the dynamic friction (particle contact friction and interlocking) and collective particle interactions, arguably the most important material behavior governing the mobility of granular flows. The impact process has been studied in one of our previous publications on granular flow-rigid barrier impact via DEM modeling (Shen et al 2018). Thus, the calibrated DEM model can be employed to simulate the dynamics and impacting process of granular flow.…”

Section: Model Calibrationmentioning

confidence: 99%

Discrete element analysis of dry granular flow impact on slit dams

Gong

Zhao

et al. 2020

Landslides

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Slit dam is an open-check barrier structure widely used in mountainous regions to resist the destructive impacts of granular flows. To examine the dynamics of granular flow impact on slit dams, a numerical study by discrete element method (DEM) is presented in this article. The study considers dry granular materials flowing down a flume channel and interacts with slit dams installed at the lower section of the flume. The particle shape is explicitly considered by particle clumps of various aspect ratios. The slit dams are modeled as rigid and smooth rectangular prisms uniformly spaced at in the flume. Four key stages of granular flow impact on the slit dams have been identified, namely, the frontal impact, run up, pile up, and static deposition stages. In the impact process, the kinetic energy of the granular flow is dissipated primarily by interparticle friction and damping. The trapping efficiency of the slit dams decreases exponentially with the relative post spacing, while it increases with the particle clump aspect ratio. The numerical results can provide new insights into the optimization of relative post spacing for slit dam design.

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Section: Model Calibrationmentioning

confidence: 99%

Discrete element analysis of dry granular flow impact on slit dams

Gong

Zhao

et al. 2020

Landslides

Self Cite

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“…Similar fluctuations of pressure (or force) curves simulated by DEM models have been reported frequently (Faug et al, 2009;Kneib et al, 2017;Shen et al, 2018b). For the sake of model calibration using experimental data, these extreme signals were minimized by applying a filtering window.…”

Section: Phenomenology Of Impacting Pressurementioning

confidence: 79%

“…Discrete element simulations were also used to investigate flowing characteristics and impact pressures of granular flows down inclines (Teufelsbauer et al, 2009;Albaba et al, 2015;Wu et al, 2016;Shen et al, 2018a). Parameters such as flowing 2 Nat.…”

mentioning

confidence: 99%

Elasto-plastic-adhesive DEM model for simulating hillslope debris flows: cross comparison with field experiments

Albaba

Schwarz

Wendeler

et al. 2018

Preprint

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Abstract. This paper presents a Discrete Element-based elasto-plastic-adhesive model which is adapted and tested for producing hillslope debris flows. The numerical model produces three phases of particle contacts: elastic, plastic and adhesion. The model capabilities of simulating different types of cohesive granular flows were tested with different ranges of flow velocities and heights. The basic model parameters, being the basal friction (&varphi;b) and normal restitution coefficient (&varepsilon;n), were calibrated using field experiments of hillslope debris flows impacting two sensors. Simulations of 50 m3 of material were carried out on a channelized surface that is 41 m long and 8 m wide. The calibration process was based on measurements of flow height, flow velocity and the pressure applied to a sensor. Results of the numerical model matched well those of the field data in terms of pressure and flow velocity while less agreement was observed for flow height. Those discrepancies in results were due in part to the deposition of material in the field test which are not reproducible in the model. A parametric study was conducted to further investigate that effect of model parameters and inclination angle on flow height, velocity and pressure. Results of best-fit model parameters against selected experimental tests suggested that a link might exist between the model parameters &varphi;b and &varepsilon;n and the initial conditions of the tested granular material (bulk density and water and fine contents). The good performance of the model against the full-scale field experiments encourages further investigation by conducting lab-scale experiments with detailed variation of water and fine content to better understand their link to the model's parameters.

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“…The interparticle friction ϕ was 40 • . The tangential stiffness of the contact (k t ) was taken as 2 7 k n following Silbert et al (2001) and k c was equal to k 1 . It is worth noting that the chosen geometrical configurations in DEM simulations corresponded to the those of the field experiment, which were used to calibrate the model (Sect.…”

Section: Geometry and Chosen Parametersmentioning

confidence: 99%

Numerical modeling using an elastoplastic-adhesive discrete element code for simulating hillslope debris flows and calibration against field experiments

Albaba

Schwarz

Wendeler

et al. 2019

Nat. Hazards Earth Syst. Sci.

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Abstract. This paper presents a discrete-element-based elastoplastic-adhesive model which is adapted and tested for producing hillslope debris flows. The numerical model produces three phases of particle contacts: elastic, plastic and adhesive. A parametric study was conducted investigating the effect of model parameters and inclination angle on flow height, velocity and pressure, in order to define the most sensitive parameters to calibrate. The model capabilities of simulating different types of cohesive granular flows were tested with different ranges of flow velocities and heights. The basic model parameters, the microscopic basal friction (ϕb) and ratio between stiffness parameters k1/k2, were calibrated using field experiments of hillslope debris flows impacting a pressure-measuring sensor. Simulations of 50 m3 of material were carried out on a channelized surface that is 41 m long and 8 m wide. The calibration process was based on measurements of flow height, flow velocity and the pressure applied to a sensor. Results of the numerical model matched those of the field data in terms of pressure and flow velocity well while less agreement was observed for flow height. Those discrepancies in results were due in part to the deposition of material in the field test, which is not reproducible in the model. Results of best-fit model parameters against selected experimental tests suggested that a link might exist between the model parameters ϕb and k1/k2 and the initial conditions of the tested granular material (bulk density and water and fine contents). The good performance of the model against the full-scale field experiments encourages further investigation by conducting lab-scale experiments with detailed variation in water and fine content to better understand their link to the model's parameters.

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Quantifying the impact of dry debris flow against a rigid barrier by DEM analyses

Cited by 140 publications

References 37 publications

Discrete element analysis of dry granular flow impact on slit dams

Discrete element analysis of dry granular flow impact on slit dams

Elasto-plastic-adhesive DEM model for simulating hillslope debris flows: cross comparison with field experiments

Numerical modeling using an elastoplastic-adhesive discrete element code for simulating hillslope debris flows and calibration against field experiments

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