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Toyoura Sand (Drained)

Drained 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-drained-CH-OSIMSAND-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-drained"],
)
Ad Lambda cohesion e0 eref fref kn0 kpr krr Fc0 h m n nd ne np phi pref xi
Gu2014-drained 1.50433 0.019 0.0 0.6 0.729 0.0001 68.695787 0.245881 0.233935 0.407191 453.948067 2.061004 0.01011 5.016768 0.3855 1.84255 15.659515 101.325 1.0

Figures

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

(a), (b), (c), (d), (e), (f)

Out:

/home/runner/work/micromechanical/micromechanical/micromechanical/cli/_figureoptions.py:333: UserWarning: The figure Gu2014-drained-CH-OSIMSAND-two-column -> macroscopic is not generated because the `generate` option is set to False.
  warnings.warn(
Running CH-OSIMSAND model for experiment Gu2014-drained-Dense-50 ...
Finished in 1.786 seconds.
Running CH-OSIMSAND model for experiment Gu2014-drained-Dense-400 ...
Finished in 1.172 seconds.
Running CH-OSIMSAND model for experiment Gu2014-drained-Very-Dense-100 ...
Finished in 1.896 seconds.
Running CH-OSIMSAND model for experiment Gu2014-drained-Dense-100 ...
Finished in 1.219 seconds.
Running CH-OSIMSAND model for experiment Gu2014-drained-Medium-Dense-100 ...
Finished in 1.129 seconds.
Running CH-OSIMSAND model for experiment Gu2014-drained-Very-Loose-100 ...
Finished in 1.042 seconds.

{'macroscopic-confining': <Figure size 1000x1200 with 6 Axes>, 'macroscopic-density': <Figure size 1000x1200 with 6 Axes>}

Total running time of the script: ( 0 minutes 9.716 seconds)

Download Python source code: plot_gu2014_drained_osimsand.py

Download Jupyter notebook: plot_gu2014_drained_osimsand.ipynb

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  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 ↩