Correlation between grain shape and critical state characteristics of uniformly graded sands: A 3D DEM study

Nie, Jiayan; Zhao, Jidong; Cui, Yifei; Li, Dianqing

doi:10.1007/s11440-021-01362-y

Cited by 29 publications

(12 citation statements)

References 55 publications

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“…If the value of φ can meet the convergence rule in step (6), deleting the lastly generated point and connecting every point in counterclockwise order, through which the needed profile of single irregular particle can be generated. If multiple irregular polygons should be generated, repeating the steps above.…”

Section: Review Of Generation Of 2d Geotechnical Particles In Wang Et...mentioning

confidence: 99%

“…During the generation of 3D particle profiles via the superposition of 2D particle profiles, let the span d be as equal as possible to the step size l step in RAB algorithm. Therefore, the number N of 2D particle profiles required for generating single 3D particle can be calculated using Equation (6).…”

Section: Generation Procedures Of 3d Particle With Irregular Shapementioning

confidence: 99%

“…To accurately reflect the mechanical behaviors of geo‐materials, the simulation of micro‐structure of rock‐soil mass plays an important role in the subsequent modeling, in which the selection of generating method (including overlapping check method and throwing method of particles) of particle shape is more significant for reflecting the micro‐structure 4,5 . Reproducing the micro‐structure of geo‐materials and establishing the relationship between micro‐structure and macro‐behaviors are efficient measures to explore the mechanical behaviors of geo‐materials and are also pivotal for revealing failure mechanism and patterns in multi‐scales and improving design and construction quality 6,7 …”

Section: Introductionmentioning

confidence: 99%

“…Generally, the macro physical and mechanical phenomena are the organized collective reflection of the micro‐behavior of material. As result, different from the conventional exploration in the generation method of particles, Nie et al 6 . investigated the correlation between the critical state behavior of sand and particle shape, which has great potential for the constitutive modeling of sand behavior.…”

Section: Introductionmentioning

confidence: 99%

“…4,5 Reproducing the micro-structure of geo-materials and establishing the relationship between micro-structure and macro-behaviors are efficient measures to explore the mechanical behaviors of geo-materials and are also pivotal for revealing failure mechanism and patterns in multi-scales and improving design and construction quality. 6,7 To accurately generate the particles with arbitrary shape, plenty of researches have been conducted about the generation of 2D or 3D random particles. Compared with conventional 2D particles with irregular shape, 3D particles can reflect the actual effect of particle shape on the physical and mechanical properties of rock-soil mass better, and in light of this, their generation and application are gradually becoming a hot research topic in DEM community.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Generation of 3D geotechnical particles using random angular bend algorithm

Zhang

Han

Wang

et al. 2023

Num Anal Meth Geomechanics

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Geo-materials are generally regarded as multi-phase structural systems, which are composed of particles, pores, and fissures. Generally, the shape and size of particles have considerable influence on the physical and mechanical properties of geo-materials. Based on the theory of random angular bend (RAB) algorithm, this paper presented a method to finely generate the three-dimensional (3D) random particle model via the superposition of two-dimensional (2D) particle profiles, and this proposed method was coded in Python. According to the generation procedure, the relevant point cloud data should be generated, and with the aid of the point cloud normal vector calculation and Poisson reconstruction technique, the required 3D particle profiles can be obtained. Subsequently, three shape descriptors are selected to describe the shape characteristics of generated particles, and accordingly, the quantitative relationships between the shape descriptors and the input controlling parameters are established to accurately control the shape of generated particles. Finally, the generated geo-material particles are implemented into the particle flow code (PFC 3D ) to construct the clump library, and an example about a 3D soil-rock mixture model was taken to validate the performance of the proposed method for numerical simulation. The results show that this study provides a useful strategy for the simulation of the geo-materials based on the RAB theory.

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Section: Review Of Generation Of 2d Geotechnical Particles In Wang Et...mentioning

confidence: 99%

Section: Generation Procedures Of 3d Particle With Irregular Shapementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Generation of 3D geotechnical particles using random angular bend algorithm

Zhang

Han

Wang

et al. 2023

Num Anal Meth Geomechanics

View full text Add to dashboard Cite

show abstract

Computational Geometric and Discrete Fourier Series Approaches for Particle Shape Analysis

Le,

Nguyen,

Rahman

et al. 2023

Lecture Notes in Civil Engineering

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Scale dependency of anisotropic thermal conductivity of heterogeneous geomaterials

Li,

Chen,

Chen

2024

Bull Eng Geol Environ

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The precise determination of subsurface thermal properties is critical for ground-source heating systems. The geomaterials are inherently heterogeneous, and their thermal conductivity measured in laboratory and field tests often exhibits anisotropic behaviours. However, the accurate measurement of thermal responses in geomaterials presents a challenging task due to the anisotropy’s variation with the observed scale. Hence, a numerical method is developed in this work and illustrated by taking a typical anisotropic structure of geomaterials with the porosity of 0.5 as an example. The differences in data from laboratory measurements and field tests are discussed to explore the scale effect on anisotropic thermal properties. A series of simulation tests are conducted on specimens with varying dimensions using the finite element method. Results indicate that the thermal properties show a substantial sensitivity to the observation scale, the variation of which decreases with the sample dimensions. By comparing in situ data and laboratory results, the values of average thermal conductivity and corresponding anisotropy ratio are lower than those at small scales, indicating that careful consideration should be given to the thermal properties to account for heterogeneity and anisotropy. In addition, four upscaling schemes based on the averaging method are discussed. This study sheds light on the gap between the laboratory results and the field’s inherent properties and provides guidelines for upscaling small-scale results to field-scale applications.

show abstract

Correlation between grain shape and critical state characteristics of uniformly graded sands: A 3D DEM study

Cited by 29 publications

References 55 publications

Generation of 3D geotechnical particles using random angular bend algorithm

Generation of 3D geotechnical particles using random angular bend algorithm

Computational Geometric and Discrete Fourier Series Approaches for Particle Shape Analysis

Scale dependency of anisotropic thermal conductivity of heterogeneous geomaterials

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