Determination of microscopic parameters of quartz sand through tri-axial test using the discrete element method

Analysis of the load exerted by debris flows on filter barriers: Comparison between numerical results and field measurements

“…Specifically, the values used in this work correspond to an angle of repose of about 30 • , again a typical value for gravel. Note that the parameters can also alternatively be determined from triaxial tests, as in Cheng et al (2017).…”

An Efficient Parallel Framework for the Discrete Element Method Using GPU

“…Therefore, the particle sizes of the prototype were exaggerated on the basis of similarity theory, which was previously used in centrifuge tests [30][31][32]. However, the grading of realistic sand usually spans many orders of magnitude, which means the voids created by the large particles need to be filled by massive volumes of fine particles [33][34][35]. Then, in the DEM models, a relatively narrow particle distribution has to be adopted, especially for three-dimensional simulations.…”

Image-based calibration of rolling resistance in discrete element models of sand

“…Specimen-scale responses of "identical" numerical and experimental test are matched by trialand-error. The process is difficult because the effects of rolling resistance in macro-response are coupled with those of other parameters (the coefficient of sliding friction in particular), and multiple solutions are possible to match key experimental results, such as dilatancy or peak mobilised friction (Estrada et al 2008, Wensrich and Katterfeld 2012, Cheng et al 2017. Calibration can thus become a very time consuming and somewhat subjective process.…”