2021
DOI: 10.1088/1757-899x/1161/1/012001
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Multi Elements Simulation of Biaxial Test with Two Different Soil Layers Using Hypoplastic Constitutive Model

Abstract: Practically, the ground condition usually consists of several layers, which have various properties from each other so it is important to have precise understanding about these layers and their behaviour. For this purpose, two different soil layers in biaxial test was analysed. In the single element simulation, it is impossible to generate the shear strain localization in the porous media but we can get numerous useful results. For strain localization analyse, using multi element models is necessary. The numer… Show more

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Cited by 4 publications
(3 citation statements)
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“…In order to quantitatively describe the degree of "irregularity" in the CT number, it was expanded from integers to fractions for analysis [10,[12][13][14][15][16]37]. Under the five loading stages (σ = 19.93 MPa, σ = 20.59 MPa, σ = 21.45 MPa, σ = 23.05 MPa, and σ = 25.88 MPa), the crack images of the third scan section were selected to calculate the fractal dimension using the yardstick logarithmic method, the island method, the box-counting method, and the sandbox method, respectively.…”
Section: Application and Analysis Of Fractal Dimensionmentioning
confidence: 99%
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“…In order to quantitatively describe the degree of "irregularity" in the CT number, it was expanded from integers to fractions for analysis [10,[12][13][14][15][16]37]. Under the five loading stages (σ = 19.93 MPa, σ = 20.59 MPa, σ = 21.45 MPa, σ = 23.05 MPa, and σ = 25.88 MPa), the crack images of the third scan section were selected to calculate the fractal dimension using the yardstick logarithmic method, the island method, the box-counting method, and the sandbox method, respectively.…”
Section: Application and Analysis Of Fractal Dimensionmentioning
confidence: 99%
“…Yang [8] used micro-CTscanning technology to observe the fracturing mechanism and failure characteristics of compressed hollow sandstone under different pressures. These people have recognized the inadequacies brought about by the homogenization of local problems, and the experiments were more qualitative than quantitative [9][10][11][12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
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