A novel discrete model for granular material incorporating rolling resistance
By M. Jiang, Hai-Sui Yu, David Harris. 2005
508 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Mechanics, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/0f700ea11064ad07568eca5cbb66eb36152b7434
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Jianfeng Wang
- Bo Zhou
- Huabin Wang
- Zhifu Shen
- M. Jiang
- Run-qiu Huang
- Marte Gutierrez
- Abdalsalam Mohamed
In Computational Mechanics
- Jianfeng Wang
- Jie Zhang
- Bo Zhou
- Zhifu Shen
- Antoinette Tordesillas
- M. Jiang
- Robert P. Behringer
- Marte Gutierrez
In Management, Monitoring, Policy and Law
- Jianfeng Wang
- Bo Zhou
- Huabin Wang
- Antoinette Tordesillas
- Jie Zhang
- Marte Gutierrez
- Abdalsalam Mohamed
- Xikui Li
Citations in the corpus
- A bonded-particle model for cemented sand (2013, background): “This situation can be improved by using non-spherical particles, using compounds of two or more spheres [39–41], or by introducing more complex contact laws including an additional rolling resistance with an elastic limit [42–44].”
- DEM investigation of particle anti-rotation effects on the micromechanical response of granular materials (2013, background): “[18] proposed a physically and mathematically more rigorous rolling resistance model in which the general contact displacement was expressed in terms of pure rolling and pure sliding between two contacting discs.”
- Micromorphology characterization and reconstruction of sand particles using micro X-ray tomography and spherical harmonics (2015, background): “Two major developments in this line of research should be highlighted: DEM-based clump logic to model shape irregularities (Matuttis et al., 2000; Mahmood and Iwashita, 2011) and the rolling resistance contact model to represent surface textures (Iwashita and Oda, 2000; Jiang et al., 2005).”
- A novel three-dimensional contact model for granulates incorporating rolling and twisting resistances (2015, methodology): “[9,43] proposed a physically based rolling resistance model for 2D DEM analyses, in which only one additional shape parameter is required to incorporate rolling resistance, this study will extend Jiang’s 2D rolling resistance model into a 3D physically based model.”
- Buckling force chains in dense granular assemblies: physical and numerical experiments (2009, background): “…to regulate this important aspect of material behaviour and achieve particle rotations that would otherwise be unrealistically high, while still retaining the simplest particle geometry and the advantage of low computational cost (Iwashita and Oda 2000, Hu and Molinari 2004, Jiang et al. 2005).”
- Assessment of rolling resistance models in discrete element simulations (2011, methodology): “e) Shape effect [20,48] Rolling resistance may also arise from the effect of a non-spherical or non-circular particle shape.”
- A Study of Three Intrinsic Problems of the Classic Discrete Element Method Using Flat-Joint Model (2016, background): “…that a model with pressure-dependent shear strength could satisfy the need for a high internal friction angle, and some researchers (Bardet 1994; Jiang et al. 2005; Kalker and Johnson 1993) stated that the internal friction angle of a particle rotation-prohibited model was higher than that of a…”
- MATERIAL AND INTERACTION PROPERTIES OF SELECTED GRAINS AND OILSEEDS FOR MODELING DISCRETE PARTICLES (2010, methodology): “Rolling fric‐ 1205Vol. 53(4): 1201-1216 tion or resistance can be a couple (or pure moment) that may be transferred between the grains via the contacts, and this couple resists particle rotations (Jiang et al., 2005) without affecting translation.”
- Comprehensive study of the effects of rolling resistance on the stress–strain and strain localization behavior of granular materials (2010, methodology): “Rolling resistance has been used in DEM as a simple way of modeling the effects of non-circular and irregular particle shapes on contact behavior [5, 15 ].”
- Probabilistic calibration of discrete element simulations using the sequential quasi-Monte Carlo filter (2018, background): “, rolling and twisting stiffnesses [21,22,52], which makes the calibration a daunting task.”