2014
DOI: 10.2478/s11600-014-0228-3
|View full text |Cite
|
Sign up to set email alerts
|

FEM × DEM modelling of cohesive granular materials: Numerical homogenisation and multi-scale simulations

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
63
0
4

Year Published

2015
2015
2024
2024

Publication Types

Select...
7
2
1

Relationship

2
8

Authors

Journals

citations
Cited by 74 publications
(68 citation statements)
references
References 23 publications
1
63
0
4
Order By: Relevance
“…We also note that the spatial correlations show marked similarities to the turbulence in fluids, a promising indication that this type of analysis can be used to explore the origins of the macroscopic friction in confined granular materials. Turbulence is one of the most complex, but ubiquitous, phenomena observed in Nature and it is related with the underlying mechanisms responsible for the micro-macro upscale causing wide-ranging effects on classical systems, like macroscopic friction in granular solids or turbulent flow regime in fluids [1][2][3][4]. The presence of multiple scales in time and space is an additional defy to a comprehensive theoretical description, and a particular effort is made in the literature to perform experiments and simulations in order to validate the proposed theoretical descriptions, particularly Tsallis nonextensive (NE) statistical mechanics [5][6][7][8].…”
mentioning
confidence: 99%
“…We also note that the spatial correlations show marked similarities to the turbulence in fluids, a promising indication that this type of analysis can be used to explore the origins of the macroscopic friction in confined granular materials. Turbulence is one of the most complex, but ubiquitous, phenomena observed in Nature and it is related with the underlying mechanisms responsible for the micro-macro upscale causing wide-ranging effects on classical systems, like macroscopic friction in granular solids or turbulent flow regime in fluids [1][2][3][4]. The presence of multiple scales in time and space is an additional defy to a comprehensive theoretical description, and a particular effort is made in the literature to perform experiments and simulations in order to validate the proposed theoretical descriptions, particularly Tsallis nonextensive (NE) statistical mechanics [5][6][7][8].…”
mentioning
confidence: 99%
“…The use of a discrete element formulation to resolve the RVE problem has been addressed in Refs. [345][346][347] among others, in particular for granular media. Another approach to solve the boundary value problem at the microscale is the boundary element method, studied, for instance, by Kaminski [348], Okada et al [349], and Prochazka [350].…”
Section: Analysis At the Rve Levelmentioning
confidence: 99%
“…In [16] this framework is applied for developing multi-scale insights into classical geomechanical problems, such as retaining wall and footing problems. Coupled FEM-DEM approaches are commonly validated by analysing the macroscopic structural response in experimental tests typical for granular media, such as a biaxial compression test [11,15,[17][18][19], a slope stability test [20], or a (cyclic) shear test [15].…”
Section: Introductionmentioning
confidence: 99%