Accompanying dataset for the paper: "Adaptive FEM-DEM bridging coupling to study third-body evolution in sheared granular media"

Contributions

• Voisin-Leprince Manon: development of the coupling algorithms, data analysis and writing of the paper
• Molinari Jean-François: research direction and writing of the paper
• Anciaux Guillaume: research direction, development of coupling algorithms, writing of the paper and data curation

Funding sources

Grant 200021_197152, entitled "Wear across scales" by the Swiss National Science Foundation

Data structure and information

The data folder contains the scripts to reproduce the results of the paper, while the notebook folder contains scripts to plot the results. The directories Script contain the actual configuration files for lammps and libmultiscale simulations, whereas Post_processing directories contain the script used to produce figures.

Additional README files are provided in subfolders.

• data : comprehensive input and output for simulations and plots
  • Adaptive-coupling-rigid-bodies : Referring to section 5 in the paper
    • Coupling : Coupled simulation input scripts
    • DEM : DEM geometry preparation
    • Post_processing : Analysis and plots
  • Adaptive-coupling-validation-DEM : Referring to section 4.2 in the paper
    • DEM : DEM geometry preparation
    • Post_processing : Analysis and plots
    • Script : Coupled simulation input scripts
  • Adaptive-coupling-validation-MD : Referring to section 4.1 in the paper
    • md_fem_adaptif : Coupled simulation input scripts
    • md_fem_no_adaptif : Coupled simulation input scripts
    • post_processing : Analysis and plots
  • Boundaries-impact : Referring to section 2 in the paper
    • DEM_d0_1.3 : DEM packings (from 10.1007/s40571-024-00788-x)
    • Post_processing : Analysis and plots
    • Simu_DEM : DEM simulation input scripts (single-scale)
• notebooks: scripts to produce main figures of the paper.

Paper Description

The frictional behavior of dry solids in sliding contact is significantly affected by the formation and accumulation of wear particles at the interface. These particles create an amorphous layer known as the third body, which undergoes intense deformation. We show that accurately capturing the evolution of the third body requires a precise modeling of the physical dimensions of the surrounding elastic bodies and boundary conditions. This implies that a computational tribology simulation engine must resolve both the fine-scale dynamics of wear particles and the large-scale structural dimensions of the sliding bodies. To address this challenge, we employ a coupled Finite Element Method (FEM) and Discrete Element Method (DEM) approach. The DEM is used to model the third body, where grain-scale discretization is crucial, while the FEM r