ross.Level1Results#

class ross.Level1Results(stiffness_range, log_dec)#

Class used to store results and provide plots for Level 1 Stability Analysis.

Parameters
stiffness_rangearray

Stiffness array used in the calculation.

log_decarray

Calculated log dec array for each cross coupling.

Methods

__init__(stiffness_range, log_dec)#
classmethod load(file)#

Load results from a .toml file.

This function will load the simulation results from a .toml file. The file must have all the argument’s names and values that are needed to reinstantiate the class.

Parameters
filestr, pathlib.Path

The name of the file the results will be loaded from.

Examples

>>> # Example running a stochastic unbalance response
>>> from tempfile import tempdir
>>> from pathlib import Path
>>> import ross as rs
>>> # Running an example
>>> rotor = rs.rotor_example()
>>> freq_range = np.linspace(0, 500, 31)
>>> n = 3
>>> m = 0.01
>>> p = 0.0
>>> results = rotor.run_unbalance_response(n, m, p, freq_range)
>>> # create path for a temporary file
>>> file = Path(tempdir) / 'unb_resp.toml'
>>> results.save(file)
>>> # Loading file
>>> results2 = rs.ForcedResponseResults.load(file)
>>> abs(results2.forced_resp).all() == abs(results.forced_resp).all()
True
plot(fig=None, **kwargs)#

Plot level 1 stability analysis.

This method will plot the stability 1 analysis for a given stiffness range.

Parameters
figPlotly graph_objects.Figure

The figure object with the plot.

kwargsoptional

Additional key word arguments can be passed to change the plot layout only (e.g. width=1000, height=800, …). *See Plotly Python Figure Reference for more information.

Returns
figPlotly graph_objects.Figure()

The figure object with the plot.

classmethod read_toml_data(data)#

Read and parse data stored in a .toml file.

The data passed to this method needs to be according to the format saved in the .toml file by the .save() method.

Parameters
datadict

Dictionary obtained from toml.load().

Returns
The result object.
save(file)#

Save results in a .toml file.

This function will save the simulation results to a .toml file. The file will have all the argument’s names and values that are needed to reinstantiate the class.

Parameters
filestr, pathlib.Path

The name of the file the results will be saved in.

Examples

>>> # Example running a unbalance response
>>> from tempfile import tempdir
>>> from pathlib import Path
>>> import ross as rs

>>> # Running an example
>>> rotor = rs.rotor_example()
>>> speed = np.linspace(0, 1000, 101)
>>> response = rotor.run_unbalance_response(node=3,
...                                         unbalance_magnitude=0.001,
...                                         unbalance_phase=0.0,
...                                         frequency=speed)

>>> # create path for a temporary file
>>> file = Path(tempdir) / 'unb_resp.toml'
>>> response.save(file)