Coupled CFD–DEM modeling of surface erosion in granular soils: simulation of erosion function apparatus experiments

This study introduces a numerical modeling approach that couples the computational fluid dynamics (CFD) with the discrete element method (DEM) to simulate grain-scale soil erosion processes induced by water flows. In this modeling framework, CFD simulates fluid flows by solving the volume-averaged Navier–Stokes equations, and uses the k–ω turbulent model for turbulent flows. Simultaneously, DEM computes the displacement of solid particles by incorporating the fluid–particle interactions driven by fluid flows while adhering to Newton’s laws of motion. These interactions encompass drag force, buoyancy force, pressure-gradient force, and viscous force exerted by fluid flows and acting on the particles. The coupled CFD–DEM modeling adeptly replicates soil erosion processes, demonstrating good alignment with results obtained from laboratory erosion function apparatus tests. In particular, the DEM facilitates the estimation of shear stress acting on the soil surface based on fluid–particle interaction forces, which has been roughly approximated by empirical or semi-empirical models. This study underscores the capability of coupled CFD–DEM in providing valuable insights into the grain-scale behavior of soil particles subjected to fluid flows, with the potential for extension to address soil erosion and fines migration.

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Publication Details

Journal
Canadian Geotechnical Journal
Published
2024-10-16
DOI
https://doi.org/10.1139/cgj-2024-0088
Citations
2
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
1.42
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article

Coupled CFD–DEM modeling of surface erosion in granular soils: simulation of erosion function apparatus experiments

John Petrie, Kun Zhang, Tae‐Hyuk Kwon, Soo-Min Ham
2 citations
Canadian Geotechnical Journal
Landslides and related hazards
1.42
article

Coupled CFD–DEM modeling of surface erosion in granular soils: simulation of erosion function apparatus experiments

John Petrie, Kun Zhang, Tae‐Hyuk Kwon, Soo-Min Ham
article en
2 citations

Abstract

This study introduces a numerical modeling approach that couples the computational fluid dynamics (CFD) with the discrete element method (DEM) to simulate grain-scale soil erosion processes induced by water flows. In this modeling framework, CFD simulates fluid flows by solving the volume-averaged Navier–Stokes equations, and uses the k–ω turbulent model for turbulent flows. Simultaneously, DEM computes the displacement of solid particles by incorporating the fluid–particle interactions driven by fluid flows while adhering to Newton’s laws of motion. These interactions encompass drag force, buoyancy force, pressure-gradient force, and viscous force exerted by fluid flows and acting on the particles. The coupled CFD–DEM modeling adeptly replicates soil erosion processes, demonstrating good alignment with results obtained from laboratory erosion function apparatus tests. In particular, the DEM facilitates the estimation of shear stress acting on the soil surface based on fluid–particle interaction forces, which has been roughly approximated by empirical or semi-empirical models. This study underscores the capability of coupled CFD–DEM in providing valuable insights into the grain-scale behavior of soil particles subjected to fluid flows, with the potential for extension to address soil erosion and fines migration.

Canadian Geotechnical JournalVol. 62
California State University System (US), Korea Advanced Institute of Science and Technology (KR), University of California System (US), Loyola Marymount University (US), California State University, Chico (US), University of California, Davis (US)
Life in Land
Openalex Percentile: Top 14%
Landslides and related hazards
1.42
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Coupled CFD–DEM modeling of surface erosion in granular soils: simulation of erosion function apparatus experiments — John Petrie, Kun Zhang, et al. · Canadian Geotechnical Journal (2024) | TGRS Research Map | TGRS