Discrete Element Analysis of the Strength Anisotropy of Fiber-Reinforced Sands Subjected to Direct Shear Load

Gong, Linxian; Nie, Lei; Yan, Xu

doi:10.3390/app10113693

Cited by 8 publications

(5 citation statements)

References 42 publications

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“…Previous studies reported the implementation of DEM in examining soil-crop, soil-residue, or soil-seed interactions along with the interface of different implements [49,63,65,[71][72][73][74][75]. For example, Zeng et al [65] simulated the emergence dynamics of soybean seedlings through the soil and quantified cotyledon-soil dynamic characteristics including soil resistance, number of the contact points between soil particles and cotyledon, and soil kinetic energy.…”

Section: Applications Of Dem In Soil-plant-machine Interaction Studiesmentioning

confidence: 99%

“…It is observed from the literature review that most of the previous studies either directly adapted published values or relied on calibration in determining model parameters. In some instances, the model parameters have been selected from the literature based merely on whether the experimental conditions fit into their work [71,74,75,97,110]. As a result, simulation accuracy varied between the referred and proposed studies [96,101].…”

Section: Future Challengesmentioning

confidence: 99%

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Modeling Soil–Plant–Machine Dynamics Using Discrete Element Method: A Review

et al. 2023

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The study of soil–plant–machine interaction (SPMI) examines the system dynamics at the interface of soil, machine, and plant materials, primarily consisting of soil–machine, soil–plant, and plant–machine interactions. A thorough understanding of the mechanisms and behaviors of SPMI systems is of paramount importance to optimal design and operation of high-performance agricultural machinery. The discrete element method (DEM) is a promising numerical method that can simulate dynamic behaviors of particle systems at micro levels of individual particles and at macro levels of bulk material. This paper presents a comprehensive review of the fundamental studies and applications of DEM in SPMI systems, which is of general interest to machinery systems and computational methods communities. Important concepts of DEM including working principles, calibration methods, and implementation are introduced first to help readers gain a basic understanding of the emerging numerical method. The fundamental aspects of DEM modeling including the study of contact model and model parameters are surveyed. An extensive review of the applications of DEM in tillage, seeding, planting, fertilizing, and harvesting operations is presented. Relevant methodologies used and major findings of the literature review are synthesized to serve as references for similar research. The future scope of coupling DEM with other computational methods and virtual rapid prototyping and their applications in agriculture is narrated. Finally, challenges such as computational efficiency and uncertainty in modeling are highlighted. We conclude that DEM is an effective method for simulating soil and plant dynamics in SPMI systems related to the field of agriculture and food production. However, there are still some aspects that need to be examined in the future.

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Section: Applications Of Dem In Soil-plant-machine Interaction Studiesmentioning

confidence: 99%

Section: Future Challengesmentioning

confidence: 99%

Modeling Soil–Plant–Machine Dynamics Using Discrete Element Method: A Review

et al. 2023

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“…Anisotropic mechanical behaviours of jointed rock mass are key influencers for the deformation and failure of rock engineering, and have been paid attention in recent years [36][37][38][39][40]. RDFN models with different rotation angles and the same size were established to evaluate the anisotropy of rough-jointed rock mass under biaxial compression.…”

Section: Numerical Analysis Of the Anisotropic Mechanical Propertiesmentioning

confidence: 99%

A Rough Discrete Fracture Network Model for Geometrical Modeling of Jointed Rock Masses and the Anisotropic Behaviour

Wang

Cao

et al. 2022

Applied Sciences

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The geometry of the joint determines the mechanical properties of the rock mass and is one of the key factors affecting the failure mode of surrounding rock masses. In this paper, a new rough discrete fractures network (RDFN) characterization method based on the Fourier transform method was proposed. The unified characterization of the complex geometric fracture network was achieved by changing the different Fourier series values, which further improved the characterization method of the RDFN model. A discrete element numerical calculation model of the complex RDFN model was established by combining MATLAB with PFC code. Numerical simulation of the anisotropic mechanical properties was performed for the RDFN model with a complex joint network. Based on the results, the geometry of the joint network has a significant influence on the strength and failure patterns of jointed rock masses. The failure modes of the opening are highly affected by the orientation of the fracture sets. The existence of the rough fracture sets could influence the failure area of different excavation situations. The study findings provide a new characterization method for the RDFN model and a new characterization approach for stability analysis of complex jointed rock masses.

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“…Ibraim et al [19] investigated the evolution of pore ratio distribution, rearrangement of soil particles, and dynamic change of stresses in ber-reinforced soils during compaction by DEM. Gong et al [15] used DEM to simulate the microscopic mechanism of strength anisotropy of ber-reinforced sand in direct shear tests. Yang et al [50] studied the in uence of different ber orientations on the contact force distribution between ber and sand particles.…”

Section: Introductionmentioning

confidence: 99%

Tensile strength and deformation properties of fiber-reinforced loess: Laboratory and numerical investigation

Wu,

Xu,

et al. 2024

Preprint

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The lower tensile strength of loess is an important cause of geohazards such as landslides and ground fissures in loess areas. In this study, the uniaxial tensile tests were conducted on basalt fiber-reinforced loess based on the digital image correlation method (DIC). Moreover, the discrete element method (DEM) was used to investigate the local microscopic mechanism of fiber-particle interaction. Results show that both the peak stress and the peak strain of loess were enhanced after fiber reinforcement. Brittle fracture was observed in unreinforced samples while ductile failure in fiber-reinforced ones with certain residual strength. The uniaxial tensile strength (UTS) of fiber-reinforced samples shows inverted U-shape changes with fiber content and fiber length, with the optimal reinforcement effect at fiber content of 0.6% and fiber length of 12 mm. The failure strain of loess increases after fiber reinforcement, which varies consistently with that of UTS. The maximum axial strain in the surface strain field declines first and then grows with the increase of fiber content and fiber length. More uniform deformation and pronounced plasticity were noted under the optimal fiber condition. The UTS of fiber-reinforced soil is about 1/5 of the uniaxial compressive strength (UCS). A UCS-based prediction model for fiber-reinforced loess was proposed and verified to estimate the UTS effectively. DEM simulation's force chain and displacement field results demonstrate the strength and deformation mechanism of reinforced loess with fiber content and fiber length.

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Discrete Element Analysis of the Strength Anisotropy of Fiber-Reinforced Sands Subjected to Direct Shear Load

Cited by 8 publications

References 42 publications

Modeling Soil–Plant–Machine Dynamics Using Discrete Element Method: A Review

Modeling Soil–Plant–Machine Dynamics Using Discrete Element Method: A Review

A Rough Discrete Fracture Network Model for Geometrical Modeling of Jointed Rock Masses and the Anisotropic Behaviour

Tensile strength and deformation properties of fiber-reinforced loess: Laboratory and numerical investigation

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