Calibration of micro-scaled mechanical parameters of granite based on a bonded-particle model with 2D particle flow code

Shi, Chong; Yang, Wenyu; Yang, Jimmy; Chen, Xiao

doi:10.1007/s10035-019-0889-3

Cited by 73 publications

(36 citation statements)

References 31 publications

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“…Simulations of strength tests (uniaxial, biaxial, Brazilian splitting experiments, etc. ) are needed to establish the relationship between model microcosmic parameters and the macroscopic mechanical properties of rocks, such a process is called calibration (Xia et al, 2018;Shi et al, 2019). The particle distribution may have a significant influence on the macroscopic mechanical properties of the model because the change of particle locations will affect the crack initiation and propagation in the rock model.…”

Section: Var(x)mentioning

confidence: 99%

Influence of Particle Distribution on Macroscopic Properties of Particle Flow Model

Zhang

2021

Preprint

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The particle flow discrete element models for uniaxial compression and tensile tests of rocks are established to study the influence of the particle distribution randomness on the macroscopic mechanical properties of such model. The results of macroscopic mechanical properties show strong discreteness due to the variance of particle distributions, in which compressive strength, tensile strength and Poisson's ratio follow the normal distribution and the Young's modulus follows the negative skewness distribution. The average values of the macroscopic strength obtained based on multiple calculations with different particle distributions should be used for the calibration of microscopic parameters. According to the relationship between sample size and deviation of macro strength averages, the minimum calculation number required to obtain high-precision macro strength with different confidence levels is given.

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Section: Var(x)mentioning

confidence: 99%

Influence of Particle Distribution on Macroscopic Properties of Particle Flow Model

Zhang

2021

Preprint

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“…(7) The porosity ϕ and the density ρ are two macroscopic indices to describe particle packings. The reported influence factors include the genesis pressure [1], the initial friction coefficient [22] and the mineral or material distribution [33]. The porosity ϕ and the density ρ are important for determining the mechanical behaviour of a bonded particle model but these parameters cannot be directly inputted from simulations.…”

Section: Microscopic Parameters Associated With Macroscopic Strength Propertiesmentioning

confidence: 99%

“…Apart from the slightly overlapped particle model, many other methods are also employed to overcome the shortcomings of a circular or spherical particle configuration, such as particle clusters [1,33], rigid particle clumps [65][66][67], stochastic distribution of material properties [68], other bonded particle model [69], and polygonal particles [70].…”

Section: The Acceptable Level Of Calibration Accuracymentioning

confidence: 99%

Calibration of parallel bond parameters in bonded particle models via physics-informed adaptive moment optimisation

Feng

Wang

et al. 2020

Powder Technology

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This study proposes an automated calibration procedure for bond parameters in bonded discrete element modelling. By exploring the underlying physical correlations between microscopic parameters of bonds and macroscopic strength parameters of the continuum to be modelled, the microscopic shear strength and tensile strength are identified as independent variables for calibration purpose. Then a physics-informed iterative scheme is proposed to automatically approximate the bond parameters by viewing the micro-macro relation as an implicitly defined mathematical mapping function. As a result of highly non-convex features of this implicit mapping, the adaptive moment estimation (Adam), which is especially suitable for problems with noisy gradients, is adopted as the basic iterative scheme, in conjunction with other numerical techniques to approximately evaluate the partial derivatives involved. The whole procedure offers a simple and effective framework for bond parameter calibration. A numerical example of SiC ceramic is provided for validation. By compared with some existing calibration methods, the proposed method shows significant advantages in terms of calibration efficiency and accuracy.

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“…6 Advances in Civil Engineering soil mass were represented as the collective action of the microscale strength parameters. erefore, it was necessary to calculate these microstrength parameters in different materials using macro-micro parameter calibration [50]. h 0 is the self-stabilized arch height of coal roadway roof; W is the coal roadway width, and the value is 5.4 m; P 0 is the vertical earth pressure, and the value is P 0 � 64.6 × 0.023 � 1.4858 MPa; σ t is the tensile strength of rock mass, and the tensile strength of the rock masses was estimated to be one-tenth of the compressive strength, so the value is 0.92 MPa; λ is the lateral pressure coefficient, and the value is 0.15; f is the rock firmness coefficient, and the value is 1.46; L is the rib spalling depth; h w is the coal roadway height, and the value is 2.6 m; Φ is the internal friction angle, and the value is 36°.…”

Section: Coal Roadwaymentioning

confidence: 99%

Numerical Study of Damage to Rock Surrounding an Underground Coal Roadway Excavation

Jiang

Wang

Zhao

et al. 2020

Advances in Civil Engineering

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In coal mines, underground roadways are required to transport coal and personnel. Such tunnels can become unstable and hazardous. This study simulates deformation and damage in the rock surrounding a shallow coal seam roadway using particle flow code. A numerical model of particle flow in the surrounding rock was constructed based on field survey and drilling data. Microcharacteristic indices, including stress, displacement, and microcrack fields, were used to study deformation and damage characteristics and mechanisms in the surrounding rocks. The results show that the stress within the rock changed gradually from a vertical stress to a circumferential stress pattern. Stress release led to self-stabilizing diamond-shaped and X-shaped tensile stress distribution patterns after the excavation of the roadway. Cracking increased and eventually formed cut-through cracks as the concentrated stress transferred to greater depths at the sides, forming shear and triangular-shaped failure regions. Overall, the roof and floor were relatively stable, whereas the sidewalls gradually failed. These results provide a reference for the control of rock surrounding roadways in coal mines.

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Calibration of micro-scaled mechanical parameters of granite based on a bonded-particle model with 2D particle flow code

Cited by 73 publications

References 31 publications

Influence of Particle Distribution on Macroscopic Properties of Particle Flow Model

Influence of Particle Distribution on Macroscopic Properties of Particle Flow Model

Calibration of parallel bond parameters in bonded particle models via physics-informed adaptive moment optimisation

Numerical Study of Damage to Rock Surrounding an Underground Coal Roadway Excavation

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