Viscos-elastic-plastic solution for deep buried tunnels considering tunnel face effect and sequential installation of double linings

Computers and Geotechnics, Journal Year: 2023, Volume and Issue: 165, P. 105930 - 105930

Published: Nov. 18, 2023

Language: Английский

---

Prediction of constrained modulus for granular soil using 3D discrete element method and convolutional neural networks

Journal of Rock Mechanics and Geotechnical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: April 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.

Language: Английский

---

Particle breakage behavior of silty loess: Insights based on experimental tests, image analysis, and numerical simulation

Engineering Geology, Journal Year: 2025, Volume and Issue: 346, P. 107904 - 107904

Published: Jan. 4, 2025

Language: Английский

---

Machine learning-powered analysis of hot isostatic pressing for Ti-6Al-4 V powder

Applied Physics A, Journal Year: 2024, Volume and Issue: 130(9)

Published: Aug. 7, 2024

Language: Английский

---

Multiscale simulation study for mechanical characteristics of coral sand influenced by particle breakage

Powder Technology, Journal Year: 2024, Volume and Issue: unknown, P. 120387 - 120387

Published: Oct. 1, 2024

Language: Английский

---

GPGPU-Parallelized Data-Driven Hierarchical Multiscale 3D FDEM for Rock Meso-macro-numerical Simulation

Rock Mechanics and Rock Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 5, 2024

Language: Английский

---

An Efficient SPH Framework for Modeling Binary Granular Mixtures and Implications for Granular Flows

International Journal for Numerical and Analytical Methods in Geomechanics, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 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.

Language: Английский

---

Superposition‐based concurrent multiscale approaches for porodynamics

International Journal for Numerical and Analytical Methods in Geomechanics, Journal Year: 2024, Volume and Issue: 48(16), P. 3909 - 3932

Published: Aug. 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.

Language: Английский

---

Automatic Modeling and Optimization Design Platform for Highway Tunnels with Application to Stress and Displacement Prediction of Surrounding Rocks during Tunnel Excavation

Applied Geophysics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

---

Heterarchical modelling of comminution for rotary mills: Part I — Particle crushing along streamlines

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 15, 2024

Rotary mills aim to effectively reduce the size of particles through a process called comminution. Modelling comminution in rotary is challenging task due substantial material deformation and intricate interplay particle kinematics segregation, mixing, crushing, abrasion. Existing particle-based simulations tend provide predictions that cannot cope with large number within mills, their wide range sizes, physics dictating crushing individual particles. Similarly, there currently no deterministic modelling means determine evolving population sizes at any point time space mill. The this two-part contribution address these gaps by advancing framework for novel stochastic model which has well-defined continuum limit can arbitrarily numbers This work describes basic structure new heterarchical ball autogenous grinding mills. primary focus Part I paper develop computational integration motion along streamlines inside Coupled kinetic crushing. In subsequent work, II, segregation mixing will be added such realistic behaviour from mill observed.

Language: Английский

---