Overview of the MockModelWithMaterial for load case LC2¶

A toy model loading a material

from __future__ import annotations

from vimseo import EXAMPLE_RUNS_DIR
from vimseo.api import create_model
from vimseo.core.model_settings import IntegratedModelSettings

First, let's instantiate the model for a given load case:

model_name = "MockModelWithMaterial"
load_case = "LC2"
model = create_model(
    model_name,
    load_case,
    check_subprocess=True,
    model_options=IntegratedModelSettings(
        directory_archive_root=EXAMPLE_RUNS_DIR / "archive/model_gallery",
        directory_scratch_root=EXAMPLE_RUNS_DIR / "scratch/model_gallery",
        cache_file_path=EXAMPLE_RUNS_DIR
        / f"caches/model_gallery/{model_name}_{load_case}_cache.hdf",
    ),
)

The model description can be accessed like this:

print(model.description)

Out:

Model MockModelWithMaterial: A toy model loading a material

Load case:
   Load case LC2: A second mock load case.

   Boundary condition variables:
   []

   Plot parameters:
   {
    "curves": [
        [
            "y1",
            "y1_2"
        ]
    ]
}
   Load:
   Load(direction='', sign='', type='')

Default values:

   Default geometrical variables:
   {"x1": [0.1], "x1_2": [0.0]}

   Default numerical variables:
   {}

   Default boundary conditions variables:
   {}

   Default material variables:
   {"E1": [150000.0]}
model_inputs:
   [
    "x1",
    "x1_2",
    "E1"
]
model_outputs:
   [
    "y1",
    "y1_2",
    "error_code",
    "model",
    "load_case",
    "description",
    "job_name",
    "persistent_result_files",
    "n_cpus",
    "date",
    "cpu_time",
    "user",
    "machine",
    "vims_git_version",
    "directory_archive_root",
    "directory_archive_job",
    "directory_scratch_root",
    "directory_scratch_job"
]

An illustration of the load case:

model.show_image()

The model is executed with its default input values:

model.execute()

Out:

{'E1': array([150000.]), 'x1': array([0.1]), 'x1_2': array([0.]), 'cpu_time': array([0.00815773]), 'date': array(['2026-03-26 14:54:09.755038'], dtype='<U26'), 'description': array([''], dtype='<U1'), 'directory_archive_job': array(['/home/sebastien.bocquet/PycharmProjects/vimseo/docs/runnable_examples/model_runs/archive/model_gallery/MockModelWithMaterial/LC2/2'],
      dtype='<U130'), 'directory_archive_root': array(['/home/sebastien.bocquet/PycharmProjects/vimseo/docs/runnable_examples/model_runs/archive/model_gallery'],
      dtype='<U102'), 'directory_scratch_job': array([''], dtype='<U1'), 'directory_scratch_root': array(['/home/sebastien.bocquet/PycharmProjects/vimseo/docs/runnable_examples/model_runs/scratch/model_gallery'],
      dtype='<U102'), 'error_code': array([0]), 'job_name': array([''], dtype='<U1'), 'load_case': array(['LC2'], dtype='<U3'), 'machine': array(['IPF7101'], dtype='<U7'), 'model': array(['MockModelWithMaterial'], dtype='<U21'), 'n_cpus': array([1]), 'persistent_result_files': array([''], dtype='<U1'), 'user': array(['sebastien.bocquet'], dtype='<U17'), 'vims_git_version': array(['d0050d8de498c8354552cdde540fb3e524454871'], dtype='<U40'), 'y1': array([5.2]), 'y1_2': array([6.2])}

And the results are visualised with the pre-defined plots:

figures = model.plot_results(show=True)

Plot of y1_2_vs_y1

figures["y1_2_vs_y1"]

Total running time of the script: ( 0 minutes 0.725 seconds)

Download Python source code: plot_MockModelWithMaterial_LC2.py

Download Jupyter notebook: plot_MockModelWithMaterial_LC2.ipynb

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