Determination of discrete element model parameters required for soil tillage

Asaf, Z.; Rubinstein, D.; Shmulevich, I.

doi:10.1016/j.still.2006.03.006

Cited by 190 publications

(75 citation statements)

References 30 publications

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“…Particle based modeling such as DEM (discrete element modeling) and GD (granular dynamics) [40][41][42][43] is a very powerful technique for granular materials, because it simulates mechanical interactions between granular micro scale particles and their collective interactions with tools and machines in a macro scale. It is challenging to develop a reliable method for determining the mechanical parameters of each particle so that the model can represent macro level behavior such as different soil failure patterns (e.g., share plane failure, brittle failure, flow failure, bending failure, and tensile failure 44 ).…”

Section: -7mentioning

confidence: 99%

Chaos emerging in soil failure patterns observed during tillage: Normalized deterministic nonlinear prediction (NDNP) and its application

Sakai

Upadhyaya

Andrade-Sánchez

et al. 2017

Chaos: An Interdisciplinary Journal of Nonlinear Science

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Real-world processes are often combinations of deterministic and stochastic processes. Soil failure observed during farm tillage is one example of this phenomenon. In this paper, we investigated the nonlinear features of soil failure patterns in a farm tillage process. We demonstrate emerging determinism in soil failure patterns from stochastic processes under specific soil conditions. We normalized the deterministic nonlinear prediction considering autocorrelation and propose it as a robust way of extracting a nonlinear dynamical system from noise contaminated motion. Soil is a typical granular material. The results obtained here are expected to be applicable to granular materials in general. From a global scale to nano scale, the granular material is featured in seismology, geotechnology, soil mechanics, and particle technology. The results and discussions presented here are applicable in these wide research areas. The proposed method and our findings are useful with respect to the application of nonlinear dynamics to investigate complex motions generated from granular materials.

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Section: -7mentioning

confidence: 99%

Chaos emerging in soil failure patterns observed during tillage: Normalized deterministic nonlinear prediction (NDNP) and its application

Sakai

Upadhyaya

Andrade-Sánchez

et al. 2017

Chaos: An Interdisciplinary Journal of Nonlinear Science

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“…Topsoil in different soil layering is of different size and shape, the bottom layer has larger diameter particles, which soil particles suffer small perturbations, increasing the particle diameter, can reduce the number of particles, and improve computing speed. Upper layers soil particles use particles with a variety of shapes and small diameter, try to describe the true state of the soil [10]. This article will divide the soil in accordance with the depth of the soil of the 30mm, 60mm, 90mm deep, shown in figure 2. a) 30mm b) 60mm c) 90mm Fig.…”

Section: Tab 1 the Value Of Simulation Parametersmentioning

confidence: 99%

Experimental Research on the Core Ploughshare Furrow Opener Based on the Discrete Element Method

Shiqiang¹,

Zifu²,

Jiang³

et al. 2014

Proceedings of the 2014 International Conference on Mechanics and Civil Engineering

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Abstract. The working process of the furrow opener is the state of movement between the working parts and the soil particles. The discrete element method (DEM) could not only truly express the geometrical characteristics of the soil particles but also be suitable for the experimental study on the furrow opener. In this paper, the physical and mechanical properties parameters of the surface soil particles were measured by the equipments, such as the soil triaxial apparatus, the direct shear apparatus, and so on. We established the discrete element 3-D model of the surface soil particles. The core ploughshare furrow opener was simulated by the discrete element software. We also revised the discrete element simulation model using the glass soil bin and the high-speed camera technology. The results of tests compared with discrete element simulation showed that both had the good correlation and the same laws. At the same time, we verified the validity of the simulation model parameter selection. We provided the effective method for the study and optimization design of the furrow opener.

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“…The friction coefficient is an empirically determinable property, which can be found in the literature for various material combinations. Some authors have already determined this friction coefficient for sand and glass particles for DEM (Asaf et al, 2007;Li et al, 2005). Here, shear experiments of a sediment made of quartz particles were performed in a Jenike shear cell under normal pressure in order to calculate the friction coefficient as was done by (Hartl & Ooi, 2008).…”

Section: Particles Simulation Parametersmentioning

confidence: 99%

Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) Applied to Centrifuges

Fernández¹,

Spelter²,

Nirschl³

2012

Applied Computational Fluid Dynamics

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Determination of discrete element model parameters required for soil tillage

Cited by 190 publications

References 30 publications

Chaos emerging in soil failure patterns observed during tillage: Normalized deterministic nonlinear prediction (NDNP) and its application

Chaos emerging in soil failure patterns observed during tillage: Normalized deterministic nonlinear prediction (NDNP) and its application

Experimental Research on the Core Ploughshare Furrow Opener Based on the Discrete Element Method

Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) Applied to Centrifuges

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