Investigation on instability modes of sand under biaxial shearing accounting various specimen generation techniques in DEM

Negi, Madhu Sudan; Mukherjee, M. K.

doi:10.1016/j.apt.2023.104081

Cited by 1 publication

(4 citation statements)

References 67 publications

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“…In this study, the commercial programme particle flow code in two dimension (PFC2D, Itasca Consulting Group Inc, 2014) was used to perform the analysis. As demonstrated in previous studies, 2D model is able to observe realistic mechanism by using appropriate settings (Gu et al, 2014;Jiang and Zhang, 2015;Lv et al, 2019;Momeni et al, 2022;Negi and Mukherjee, 2023). The particles in 2D model are simplified as rigid disks with finite mass that can translate and rotate.…”

Section: Dem Analysismentioning

confidence: 90%

“…, 2019; Momeni et al. , 2022; Negi and Mukherjee, 2023). The particles in 2D model are simplified as rigid disks with finite mass that can translate and rotate.…”

Section: Dem Analysismentioning

confidence: 99%

“…Gu et al (2014) and Jiang and Zhang (2015) studied the microscopic feature during shear band forming process using the discrete element method (DEM). Lv et al (2019), Momeni et al (2022) and Negi and Mukherjee (2023) employed DEM method to numerically investigate the factors on shear band development. It is noted that most of these available studies concentrated on qualitative assessment of shear band formation.…”

Section: Introductionmentioning

confidence: 99%

“…(2019), Momeni et al. (2022) and Negi and Mukherjee (2023) employed DEM method to numerically investigate the factors on shear band development. It is noted that most of these available studies concentrated on qualitative assessment of shear band formation.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of shear band evolution using discrete element modelling

Yang,

Tian,

Yang

et al. 2024

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PurposeThe objective of this paper is to quantitatively assess shear band evolution by using two-dimensional discrete element method (DEM).Design/methodology/approachThe DEM model was first calibrated by retrospectively modelling existing triaxial tests. A series of DEM analyses was then conducted with the focus on the particle rotation during loading. An approach based on particle rotation was developed to precisely identify the shear band region from the surrounding. In this approach, a threshold rotation angle ω0 was defined to distinguish the potential particles inside and outside the shear band and an index g(ω0) was introduced to assess the discrepancy between the rotation response inside and outside shear band. The most distinct shear band region can be determined by the ω0 corresponding to the peak g(ω0). By using the proposed approach, the shear band development of two computational cases with different typical localised failure patterns were successfully examined by quantitatively measuring the inclination angle and thickness of shear band, as well as the microscopic quantities.FindingsThe results show that the shear band formation is stress-dependent, transiting from conjugated double shear bands to single shear band with confining stress increasing. The shear band evolution of two typical localised failure modes exhibits opposite trends with increasing strain level, both in inclination angle and thickness. Shear band featured a larger volumetric dilatancy and a lower coordination number than the surrounding. The shear band also significantly disturbs the induced anisotropy of soil.Originality/valueThis paper proposed an approach to quantitatively assess shear band evolution based on the result of two-dimensional DEM modelling.

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Section: Dem Analysismentioning

confidence: 90%

“…, 2019; Momeni et al. , 2022; Negi and Mukherjee, 2023). The particles in 2D model are simplified as rigid disks with finite mass that can translate and rotate.…”

Section: Dem Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessment of shear band evolution using discrete element modelling

Yang,

Tian,

Yang

et al. 2024

View full text Add to dashboard Cite

show abstract

Investigation on instability modes of sand under biaxial shearing accounting various specimen generation techniques in DEM

Cited by 1 publication

References 67 publications

Assessment of shear band evolution using discrete element modelling

Assessment of shear band evolution using discrete element modelling

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