Material Point Method Modeling of Granular Flow Considering Phase Transition From Solid‐Like to Fluid‐Like States

International Journal for Numerical and Analytical Methods in Geomechanics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 16, 2025

ABSTRACT Granular flow is ubiquitous in various engineering scenarios, such as landslides, avalanches, and industrial processes. Reliable modeling of granular crucial for mitigating potential hazards optimizing process efficiency. However, the complex behavior media, which transitions between solid‐like fluid‐like states, poses a significant challenge their modeling, particularly when involving rapid mobilization. To address this challenge, we propose an innovative constitutive model capable capturing highly nonlinear by integrating frictional collisional mechanisms under varying states. The proposed incorporates two distinct stress components: stress. governed critical‐state‐based elastoplasticity model, accurately describes media. On other hand, formulated using well‐established kinetic theory, effectively captures seamlessly transition these introduce novel state variable, temperature, serves measure energy system. This further incorporated into GPU‐based material point method (MPM) used to types flows, including column collapse flume test on inclined surface. numerical results show good agreement with available experimental data, highlighting efficacy our phase MPM approach materials from states throughout mobilization process, initiation final deposition.

Language: Английский

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A semi-implicit material point method for coupled thermo-hydro-mechanical simulation of saturated porous media in large deformation

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2023, Volume and Issue: 418, P. 116462 - 116462

Published: Oct. 13, 2023

Language: Английский

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State-of-the-Art Constitutive Modelling of Frozen Soils

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: April 24, 2024

Abstract In recent decades, the constitutive modelling for frozen soils has attracted remarkable attention from scholars and engineers due to continuously growing constructions in cold regions. Frozen exhibit substantial differences mechanical behaviours compared unfrozen soils, presence of ice complexity phase changes. Accordingly, it is more difficult establish models reasonably capture than soils. This study attempts present a comprehensive review state art which focal topic geotechnical engineering. Various under static dynamic loads are summarised based on their underlying theories. The advantages limitations thoroughly discussed. On this basis, challenges potential future research possibilities soil outlined, including development open databases unified with aid advanced techniques. It hoped that could facilitate describing promote deeper understanding thermo-hydro-mechanical (THM) coupled process occurring

Language: Английский

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Neural Network-augmented Differentiable Finite Element Method for Boundary Value Problems

International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: 285, P. 109783 - 109783

Published: Oct. 16, 2024

Language: Английский

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Multiscale modeling of coupled thermo-hydro-mechanical behavior in ice-bonded granular media subject to freeze-thaw cycles

Computers and Geotechnics, Journal Year: 2024, Volume and Issue: 171, P. 106349 - 106349

Published: April 29, 2024

Language: Английский

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A mortar segment-to-segment frictional contact approach in material point method

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2024, Volume and Issue: 431, P. 117294 - 117294

Published: Aug. 20, 2024

Language: Английский

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Hydro-mechanical simulations aid demand-oriented design of slit dams for controlling debris flows, debris avalanches and rock avalanches

Engineering Geology, Journal Year: 2023, Volume and Issue: 326, P. 107314 - 107314

Published: Oct. 5, 2023

Language: Английский

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A continuum–discrete multiscale methodology using machine learning for thermal analysis of granular media

Computers and Geotechnics, Journal Year: 2024, Volume and Issue: 168, P. 106118 - 106118

Published: Feb. 8, 2024

This work presents a data-driven continuum–discrete multiscale methodology to simulate heat transfer through granular materials. The two scales are hierarchically coupled, where the effective thermal conductivity tensor required by continuous method at macroscale is obtained from offline microscale analyses. A set of media samples created Discrete Element Method (DEM) relate microstructure properties with conductivity. protocol for generating these Representative Volume Elements (RVEs) and homogenizing response presented validated assessing representativeness assemblies. study found that local properties, porosity fabric material, sufficient accurately estimate representative tensor. dimensionless database results used training surrogate model based on machine learning. In this way, tensors reflect can be efficiently predicted taking microstructural as inputs. proposed enables us solve problems in using continuum approach accuracy comparable pure discrete computational but significantly reduced cost.

Language: Английский

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A gradient-smoothed material point method for reducing cell crossing noise in large deformation problems

Computers and Geotechnics, Journal Year: 2024, Volume and Issue: 169, P. 106169 - 106169

Published: Feb. 29, 2024

Language: Английский

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Development of free-field and compliant base SPH boundary conditions for large deformation seismic response analysis of geomechanics problems

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2024, Volume and Issue: 432, P. 117370 - 117370

Published: Sept. 16, 2024

Language: Английский

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