A general smoothed particle hydrodynamics (SPH) formulation for coupled liquid flow and solid deformation in porous media-Reference-Cited by-同舟云学术

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A general smoothed particle hydrodynamics (SPH) formulation for coupled liquid flow and solid deformation in porous media

Published:2024-02 Issue: Volume:419 Page:116581
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Feng Ruofeng^ORCID,Fourtakas Georgios,Rogers Benedict D.^ORCID,Lombardi Domenico

Funder

Monash University

China Scholarship Council

University of Manchester

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference49 articles.

1. The statistics of embankment dam failures and accidents;Foster;Can. Geotech. J.,2000

2. Recent research on landslide dams-a literature review with special attention to New Zealand;Korup;Prog. Phys. Geogr.,2002

3. Galavi, V. 2010. Groundwater flow, fully coupled flow deformation and undrained analyses in PLAXIS 2D and 3D. Plaxis Report.

4. Krahn, J. 2012. Seepage Modeling With SEEP/W: An engineering Methodology. GEO-SLOPE International Ltd. Calgary, Alberta, Canada.

5. Finite Element Analysis in Geotechnical engineering: Application;Potts,2001

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1. A poroelastic δ-SPH model for modeling biofilm deformation and sloughing in microfluidic channels;Computers and Geotechnics;2024-11

2. Pore tortuosity and permeability of particulate composites with random packing superovoidal particles;Powder Technology;2024-09

3. CO2 transport through swelling organic-rich nanoporous media: Insights on gas permeability from coarse-grained pore-scale simulations;Journal of Cleaner Production;2024-09

4. Modelling internal erosion using 2D smoothed particle hydrodynamics (SPH);Journal of Hydrology;2024-08

5. A Data Assimilation Methodology to Analyze the Unsaturated Seepage of an Earth–Rockfill Dam Using Physics-Informed Neural Networks Based on Hybrid Constraints;Water;2024-04-04

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