International Journal of Geomechanics, Год журнала: 2024, Номер 25(3)
Опубликована: Дек. 17, 2024
Язык: Английский
Computers and Geotechnics, Год журнала: 2023, Номер 165, С. 105930 - 105930
Опубликована: Ноя. 18, 2023
Язык: Английский
Процитировано
26
Journal of Rock Mechanics and Geotechnical Engineering, Год журнала: 2024, Номер unknown
Опубликована: Апрель 1, 2024
To efficiently predict the mechanical parameters of granular soil based on its random micro-structure, this study proposed a novel approach combining numerical simulation and machine learning algorithms. Initially, 3500 simulations one-dimensional compression tests coarse-grained sand using three-dimensional (3D) discrete element method (DEM) were conducted to construct database. In process, positions particles randomly altered, particle assemblages changed. Interestingly, besides confirming influence size distribution parameters, stress-strain curves differed despite an identical gradation statistic when position varied. Subsequently, obtained data partitioned into training, validation, testing datasets at 7:2:1 ratio. convert DEM model multi-dimensional matrix that computers can recognize, 3D models first sliced extract multi-layer two-dimensional (2D) cross-sectional data. Redundant information was then eliminated via gray processing, stacked form new representing soil's fabric. utilizing Python language Pytorch framework, convolutional neural networks (CNNs) developed establish relationship between constrained modulus from The mean squared error (MSE) function utilized assess loss value during training process. When rate (LR) fell within range 10-5-10-1, batch sizes (BSs) 4, 8, 16, 32, 64, stabilized after 100 epochs in validation dataset. For BS = 32 LR 10-3, reached minimum. set, comparative evaluation predicted CNNs versus simulated reveals minimum absolute percentage (MAPE) 4.43% under optimized condition, demonstrating accuracy approach. Thus, by CNNs, variation characteristics related fabric would be evaluated directly tracking assemblages.
Язык: Английский
Процитировано
7
Engineering Geology, Год журнала: 2025, Номер 346, С. 107904 - 107904
Опубликована: Янв. 4, 2025
Язык: Английский
Процитировано
0
Applied Sciences, Год журнала: 2025, Номер 15(10), С. 5567 - 5567
Опубликована: Май 16, 2025
To address the limitations in conventional granular morphology characterization where excessive emphasis has been placed on elongation index (EI) while neglecting flatness (FI) and their coupled interactions, this study establishes an EI/FI co-regulated dual-parameter morphological framework. Through integrated triaxial compression experiments discrete element simulations, we systematically investigate multi-scale mechanical responses spanning macroscopic stress–strain behavior to microscopic force-chain evolution. The results show that (1) regulation of pore structure by parameters presents non-linear characteristics, (2) evolution peak shear strength is predominantly governed anisotropy. (3) parabolic relationship between maximum dilatancy angle shown. (4) micro analysis reveals have limited influence statistical distribution characteristics contact force chain, but a significant regulatory effect anisotropic network.
Язык: Английский
Процитировано
0
Applied Physics A, Год журнала: 2024, Номер 130(9)
Опубликована: Авг. 7, 2024
Язык: Английский
Процитировано
2
Powder Technology, Год журнала: 2024, Номер unknown, С. 120387 - 120387
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
2
Rock Mechanics and Rock Engineering, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 5, 2024
Язык: Английский
Процитировано
2
International Journal for Numerical and Analytical Methods in Geomechanics, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 26, 2024
ABSTRACT A two‐way coupling numerical framework based on smoothed particle hydrodynamics (SPH) is developed in this study to model binary granular mixtures consisting of coarse and fine grains. The employs updated Lagrangian SPH simulate grains, with configurations at each time step, total efficiently grains without configurations. Riemann solver utilized introduce dissipation facilitate their To enhance computational efficiency, a multiple time‐stepping scheme initially applied manage the integration between Several experiments, including column collapse, low‐speed impact craters, flow impacting blocks, are conducted validate stability accuracy proposed algorithm. Subsequently, two more complex scenarios involving soil–rock mixture slope considering irregular shapes, bouldery debris flows natural terrain, simulated showcase potential engineering applications. Finally, detailed analysis performed evaluate efficiency advantages present approach. findings consistent previous experimental results, implementation can improve by up 600%, thereby providing significant for large‐scale simulations.
Язык: Английский
Процитировано
2
International Journal for Numerical and Analytical Methods in Geomechanics, Год журнала: 2024, Номер 48(16), С. 3909 - 3932
Опубликована: Авг. 9, 2024
Abstract The current study presents superposition‐based concurrent multiscale approaches for porodynamics, capable of capturing related physical phenomena, such as soil liquefaction and dynamic hydraulic fracture branching, across different spatial length scales. Two scenarios are considered: superposition finite element discretizations with varying mesh densities, peridynamics (PD) method (FEM) to handle discontinuities like strain localization cracks. approach decomposes the acceleration rate change in pore water pressure into subdomain solutions approximated by models, allowing high‐fidelity models be used locally regions interest, crack tips or shear bands, without neglecting far‐field influence represented low‐fidelity models. coupled stiffness, mass, compressibility, permeability, damping matrices were derived based on framework. proposed FEM‐FEM porodynamic coupling was validated against analytical numerical one‐ two‐dimensional consolidation problems. PD‐FEM model applied liquefaction‐induced accumulation near a low‐permeability interlayer layered deposit fracturing branching. It has been shown that offers modeling flexibility efficiency taking advantage FEM complex domains PD ability resolve discontinuities.
Язык: Английский
Процитировано
1
Applied Geophysics, Год журнала: 2024, Номер unknown
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
1