Influence of Different Cohesive Contact Models on Micro‐to‐Macro Response of Geomaterials: A DEM Investigation

ABSTRACT Cohesive contact between soil particles plays a key role in the micro‐ and macroscale responses of geomaterials, but the contact behavior can vary widely depending on different contexts. As our understanding of cohesive contact and the use of appropriate models when simulating cohesive materials is still limited, this study provides a comprehensive assessment of the most commonly used cohesive contact models, such as the Johnson–Kendall–Roberts (JKR), Simplified JKR (SJKR), Easo liquid bridge (ELB), and Derjaguin–Muller–Toporov (DMT) models. Not only are extensive reviews and analyses made to highlight crucial differences in the concept and mechanisms that different models utilize to govern cohesive bonds, but a series of 369 DEM simulations of the drawdown (DD) tests used by these models is also implemented. Cohesion and rolling friction degrees are varied in tandem, followed by detailed analyses of micro and macroscale features ranging from interparticle contact to bulk deformation characteristics across different cohesive models. The results show there are large differences in interparticle behavior depending on how the attractions are formed and developed, despite yielding similar macroscale responses. Soft bond models like ELB and DMT, whose attraction concentrates around the border of the contact region, result in weak bonds and less impact on structural features such as the contact network and porosity, especially under different dynamic contexts. This study significantly enhances understanding of different forms of cohesions and suggests criteria that can be used to select cohesive models, promoting accurate predictions of micro‐to‐macroscale responses.

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Publication Details

Journal
International Journal for Numerical and Analytical Methods in Geomechanics
Published
2025-08-26
DOI
https://doi.org/10.1002/nag.70051
Citations
1
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
1.33

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article

Influence of Different Cohesive Contact Models on Micro‐to‐Macro Response of Geomaterials: A DEM Investigation

Thanh Trung Nguyen, Buddhima Indraratna, Thao Doan, Quoc Thien Huynh
1 citations
International Journal for Numerical and Analytical Methods in Geomechanics
Granular flow and fluidized beds
1.33
article

Influence of Different Cohesive Contact Models on Micro‐to‐Macro Response of Geomaterials: A DEM Investigation

Thanh Trung Nguyen, Buddhima Indraratna, Thao Doan, Quoc Thien Huynh
article en
1 citations

Abstract

ABSTRACT Cohesive contact between soil particles plays a key role in the micro‐ and macroscale responses of geomaterials, but the contact behavior can vary widely depending on different contexts. As our understanding of cohesive contact and the use of appropriate models when simulating cohesive materials is still limited, this study provides a comprehensive assessment of the most commonly used cohesive contact models, such as the Johnson–Kendall–Roberts (JKR), Simplified JKR (SJKR), Easo liquid bridge (ELB), and Derjaguin–Muller–Toporov (DMT) models. Not only are extensive reviews and analyses made to highlight crucial differences in the concept and mechanisms that different models utilize to govern cohesive bonds, but a series of 369 DEM simulations of the drawdown (DD) tests used by these models is also implemented. Cohesion and rolling friction degrees are varied in tandem, followed by detailed analyses of micro and macroscale features ranging from interparticle contact to bulk deformation characteristics across different cohesive models. The results show there are large differences in interparticle behavior depending on how the attractions are formed and developed, despite yielding similar macroscale responses. Soft bond models like ELB and DMT, whose attraction concentrates around the border of the contact region, result in weak bonds and less impact on structural features such as the contact network and porosity, especially under different dynamic contexts. This study significantly enhances understanding of different forms of cohesions and suggests criteria that can be used to select cohesive models, promoting accurate predictions of micro‐to‐macroscale responses.

International Journal for Numerical and Analytical Methods in GeomechanicsVol. 49(16)
University of Technology Sydney (AU), University of Wollongong (AU), Wollongong Hospital (AU)
University of Technology Sydney, Australian Research Council
Openalex Percentile: Top 19%
Granular flow and fluidized beds
1.33
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