Comparing particle shape representations and contact models for DEM simulation of bulk cohesive behaviour

Coetzee, C.J.; Scheffler, Otto Carl

doi:10.1016/j.compgeo.2023.105449

Cited by 18 publications

(5 citation statements)

References 55 publications

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“…1(e)) that is straightforward, closely matches experiment data, and has also shown to be reliable in various situations. 38,39 Details of our numerical model can be found in Appendix A. The parameters used in our numerical model are summarized in Table 1, where the dimensionless elastic constant k 0 = mg/d.…”

Section: Numerical Modelmentioning

confidence: 99%

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

Wu,

Sun,

Wang

2023

Soft Matter

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Section: Numerical Modelmentioning

confidence: 99%

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

Wu,

Sun,

Wang

2023

Soft Matter

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“…Three levels of cohesion were induced by adding moisture (water) to the sand such that S = 5%, S = 10% and S = 15%, respectively. This is the same sand as was used in two related studies; for more details, see [44,45].…”

Section: Cohesive Materialsmentioning

confidence: 99%

“…The plate was inclined at 32°to coincide with the lowest angle of repose measured for any of the sand grades used [44,45]. To eliminate any unknown material-plate interface properties, the plate was fitted with 30 equally spaced fins (17.5 mm high).…”

Section: Conveyor Systemmentioning

confidence: 99%

“…None of the existing studies modelled the discharge of a cohesive material from a conveyor belt onto an impact plate, in combination with systematic particle upscaling and comparing the results of material build-up and impact forces to laboratory measurements and observations. In this study, a cohesive material with calibrated parameter values, published by the same authors [44,45], was analysed and the effects of particle upscaling investigated. A guideline for the maximum particle scale factor that still ensures accurate results while minimising computational effort is provided.…”

Section: Introductionmentioning

confidence: 99%

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Discrete Element Modelling of a Bulk Cohesive Material Discharging from a Conveyor Belt onto an Impact Plate

Scheffler,

Coetzee

2023

Minerals

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The discrete element method (DEM) has become the numerical method of choice for analysing and predicting the behaviour of granular materials in bulk handling systems. Wet-and-sticky materials (WSM) are especially problematic, resulting in build-up and blockages. Furthermore, due to the large number of particles in industrial-scale applications, it is essential to decrease the number of particles in the model by increasing their size (upscaling or coarse graining). In this study, the accuracy with which upscaled DEM particles can model the discharge of a cohesive material from a belt conveyor onto an inclined impact plate was investigated. Experimentally, three sand grades (particle size distributions, PSDs) were used, each in a dry (non-cohesive) state and with three levels of moisture-induced cohesion. The effects of the modelled PSDs on the material flow, build-up on the plate, the peak impact force and the residual weight were investigated. Although a linear cohesion contact model was mostly used, the results were also compared to that of the Johnson–Kendall–Roberts (JKR) and simplified JKR (SJKR) models. It was found that the general profile of the pile (build-up) could be accurately modelled, but using a more accurate (but still upscaled) PSD improved the results. The impact force and the residual weight on the plate could be accurately modelled (error <15%) if the particle size was not excessively scaled. The maximum acceptable scaling factor was found to be a geometric factor of the bulk measure of interest, and not a factor of the physical particle size. Furthermore, with an increase in cohesion, the bulk measures such as the thickness of the discharge stream and the height of the material build-up increased, which meant that the maximum acceptable scale factor also increased. The results are valuable for future accurate and efficient modelling of large industrial scale applications of WSMs.

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“…Nevertheless, appropriate parameter selection [18] largely determines the accuracy of the finite element method, and mesh division has an impact as well [19]. In contrast, the use of the discrete element method requires more complex process for selecting contact models [20,21] and their microscale parameters [22]. These considerations make its application in engineering contexts more challenging [23].…”

Section: Introductionmentioning

confidence: 99%

Calculation Method of Earth Pressure Considering Wall Displacement and Axial Stress Variations

Dang,

Wang,

Cao

et al. 2023

Applied Sciences

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Current earth pressure calculation methods suffer from certain limitations because they do not consider the effect of retaining wall displacement. In this study, the soil behind the wall is assumed to be in a plane strain state, and drawing upon nonlinear elastic constitutive theory, an earth pressure calculation method is proposed, capable of considering both axial stress and wall displacement. To account for changes in soil modulus with confining pressure, the tangent modulus from the Duncan-Chang nonlinear model is introduced. Depending on the direction of the principal stress behind the retaining wall, the static earth pressure point, the major principal stress inflection point, and the minor principal stress second inflection point are determined. The conditions for the existence of the second inflection point are also given. These specific points, together with the limit earth pressure point, divide the earth pressures acting on the wall into six regions. The study provides earth pressure calculation formulas for T (translation) mode, RBT (rotation about a point below the base) mode, and RTT (rotation about a point above the top) mode based on the characteristics of wall displacement distribution in each mode. The proposed method exhibits good agreement with the test results, offering an effective approach for accurately calculating earth pressures related to displacement.

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Comparing particle shape representations and contact models for DEM simulation of bulk cohesive behaviour

Cited by 18 publications

References 55 publications

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

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

Discrete Element Modelling of a Bulk Cohesive Material Discharging from a Conveyor Belt onto an Impact Plate

Calculation Method of Earth Pressure Considering Wall Displacement and Axial Stress Variations

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