Skip to content

Note

Click here to download the full example code

Toyoura Sand (Undrained)

Undrained triaxial tests on Toyoura sand with DEM 1.

import pandas as pd

from micromechanical.cli.plot import PlotCLI, PlotConfig

config: PlotConfig = PlotCLI.loadConfig("../../calibrations/micromechanical-plots.yaml")
plot_name = "Gu2014-undrained-CH-SANISAND-two-column"
plot_config = config.plots[plot_name]

Parameters

pd.DataFrame(
    {
        key.replace("micromechanical.calibrationkey:FabricCoefficientKey(", "").replace(")", ""): value
        for key, value in plot_config.calibration.read(config.root).parameters.items()
    },
    index=["Gu2014-undrained"],
)
Ad Lambda V X b c ch cohesion e0 eref0 erefu fnr fref h0 kn0 krr m Fc0 h n nd ne np nw phi rho rhoc theta xi
Gu2014-undrained 9.92224 0.015391 1000.0 0.8 1.000000e-07 1.0 1.0 0.0 0.6 0.71331 0.3 0.03 0.0001 3.775584e+06 60.967755 0.372066 1.824157 0.379312 163.092556 20.0 1.636987 0.000006 0.075273 1.0 15.81437 0.0 0.37 0.18 1.269156

Figures

plot_config.plot(plot_name, grids=config.grids, save=False, overwrite=False, exclude_figures=["macroscopic-anisotropy"])

(a), (b), (c), (d)

Out:

/home/runner/work/micromechanical/micromechanical/micromechanical/cli/_figureoptions.py:333: UserWarning: The figure Gu2014-undrained-CH-SANISAND-two-column -> macroscopic is not generated because the `generate` option is set to False.
  warnings.warn(
Running CH-SANISAND model for experiment Gu2014-undrained-Dense-50 ...
Finished in 1.829 seconds.
Running CH-SANISAND model for experiment Gu2014-undrained-Dense-400 ...
Finished in 1.359 seconds.
Running CH-SANISAND model for experiment Gu2014-undrained-Very-Dense-100 ...
Finished in 1.460 seconds.
Running CH-SANISAND model for experiment Gu2014-undrained-Dense-100 ...
Finished in 2.080 seconds.
Running CH-SANISAND model for experiment Gu2014-undrained-Medium-Dense-100 ...
Finished in 3.588 seconds.
Running CH-SANISAND model for experiment Gu2014-undrained-Very-Loose-100 ...
Finished in 6.105 seconds.

{'macroscopic-confining': <Figure size 1200x800 with 4 Axes>, 'macroscopic-density': <Figure size 1200x800 with 4 Axes>}

Total running time of the script: ( 0 minutes 17.439 seconds)

Download Python source code: plot_gu2014_undrained_sanisand.py

Download Jupyter notebook: plot_gu2014_undrained_sanisand.ipynb

Gallery generated by mkdocs-gallery

  1. Gu, X., Huang, M., & Qian, J. (2014). DEM investigation on the evolution of microstructure in granular soils under shearing. Granular Matter, 16(1), 91–106. https://doi.org/10.1007/s10035-013-0467-z ↩