Hostun Sand (Drained)

Drained triaxial tests on Hostun sand ¹.

import pandas as pd

from micromechanical.cli.plot import PlotCLI, PlotConfig

config: PlotConfig = PlotCLI.loadConfig("../../calibrations/micromechanical-plots.yaml")

plot_name = "Hostun-CH-SANISAND-two-column"
plot_config = config.plots[plot_name]

Parameters

pd.DataFrame(
    {key: value for key, value in plot_config.calibration.read(config.root).parameters.items()}, index=["Hostun"]
)

	Ad	Lambda	V	X	b	c	ch	cohesion	e0	eref0	erefu	fnr	fref	h0	kn0	krr	m	n	nd	ne	np	nw	phi	rho	rhoc	theta	xi
Hostun	0.662986	0.428673	1000.0	0.8	1.000000e-07	1.0	1.0	0.0	0.6	1.204081	0.3	0.03	0.0001	53352.382695	417.189557	0.259279	0.05	20.0	2.581604	0.035257	1.309234	1.0	31.286647	0.0	0.37	0.18	0.149442

Figures

plot_config.plot(plot_name, grids=config.grids, save=False, overwrite=False)

(a), (b)

Out:

Running CH-SANISAND model for experiment Hostun-Loose-100 ...
Finished in 12.437 seconds.
Running CH-SANISAND model for experiment Hostun-Loose-300 ...
Finished in 3.491 seconds.
Running CH-SANISAND model for experiment Hostun-Loose-800 ...
Finished in 1.485 seconds.
Running CH-SANISAND model for experiment Hostun-Dense-100 ...
Finished in 16.836 seconds.
Running CH-SANISAND model for experiment Hostun-Dense-300 ...
Finished in 7.150 seconds.
Running CH-SANISAND model for experiment Hostun-Dense-800 ...
Finished in 2.809 seconds.

{'macroscopic': <Figure size 1000x420 with 2 Axes>}

Total running time of the script: ( 0 minutes 44.916 seconds)

Download Python source code: plot_hostun_sanisand.py

Download Jupyter notebook: plot_hostun_sanisand.ipynb

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Biarez, J., Hicher, P.Y., 2002. me ́canismes de d ́eformation des sols. In: Hicher, P.Y., Shao, J.F. (Eds.), Elastoplasticite ́ des sols et des roches, mod`eles de comportement des sols et des roches 1, Hermes-Lavoisier, pp. 47–89. ↩