Computational Particle Mechanics, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 14, 2024
Language: Английский
Computational Particle Mechanics, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 14, 2024
Language: Английский
Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 437, P. 117755 - 117755
Published: Jan. 22, 2025
Language: Английский
Citations
4International 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
Citations
2Lubricants, Journal Year: 2025, Volume and Issue: 13(1), P. 18 - 18
Published: Jan. 6, 2025
This review analyzes numerical techniques for frictional contact problems, highlighting their strengths and limitations in addressing inherent nonlinearities computational demands. Finite element methods (FEM), while dominant due to versatility, often require computationally expensive iterative solutions. Alternative methods, like boundary (BEM) meshless offer potential advantages but further exploration broader applicability. The choice of algorithm significantly impacts accuracy efficiency; penalty though efficient, can lack at high friction coefficients; whereas, Lagrange multiplier more accurate, are demanding. selection an appropriate constitutive model is crucial; the Coulomb law common, sophisticated models necessary represent real-world complexities, including surface roughness temperature dependence. paper delves into future research that prioritizes developing efficient algorithms parallel computing strategies. Advancements modelling vital improved accuracy, along with enhanced detection complex geometries large deformations. Integrating experimental data multiphysics capabilities will enhance reliability applicability these across various engineering applications. These advancements ultimately improve predictive power simulations diverse fields.
Language: Английский
Citations
1Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 436, P. 117734 - 117734
Published: Jan. 17, 2025
Language: Английский
Citations
0Computers and Geotechnics, Journal Year: 2025, Volume and Issue: 182, P. 107154 - 107154
Published: Feb. 19, 2025
Language: Английский
Citations
0Computers and Geotechnics, Journal Year: 2025, Volume and Issue: 180, P. 107113 - 107113
Published: Feb. 4, 2025
Language: Английский
Citations
0Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 440, P. 117940 - 117940
Published: March 30, 2025
Language: Английский
Citations
0Computer Methods in Applied Mechanics and Engineering, Journal Year: 2024, Volume and Issue: 433, P. 117530 - 117530
Published: Nov. 14, 2024
Language: Английский
Citations
2Computational Particle Mechanics, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 14, 2024
Language: Английский
Citations
0