pyHarm.Reductors.StaticReductor¶

Classes¶

This reductor applies a provided static transformation matrix in order to reduce the system.

class pyHarm.Reductors.StaticReductor.StaticReductor(data: dict, expl_dofs: pandas.DataFrame, *args)¶

This reductor applies a provided static transformation matrix in order to reduce the system.

factory_keyword: str = 'static'¶

keyword that is used to call the creation of this class in the factory.

__post_init__(*args)¶: A post init method to be customized if needed when building new class.

update_reductor(xpred: numpy.ndarray, J_f: numpy.ndarray, *args) → tuple[numpy.ndarray, numpy.ndarray, pandas.DataFrame]¶

Does nothing as the transformation is taken as static.

Returns:: same displacement vector given as input after passing through the reductor np.ndarray: same jacobian matrix given as input after passing through the reductor pd.DataFrame: same explicit dof DataFrame after passing through the reductor
Return type:: np.ndarray

expand(q: numpy.ndarray) → numpy.ndarray¶

Inverse transforms the displacement vector.

reduce_vector_x(x: numpy.ndarray) → numpy.ndarray¶

Transforms the displacement vector.

reduce_vector(R: numpy.ndarray) → numpy.ndarray¶

Transforms the residual vector.

reduce_matrix(dJdxom: numpy.ndarray, *args) → numpy.ndarray¶

From original matrix, performs the transformation to get the transformed matrix.

Parameters:: dJdxom (np.ndarray) – full size jacobian matrix with respect to displacement and angular frequency.
Returns:: transformed jacobian matrix with respect to displacement and angular frequency.
Return type:: np.ndarray

_get_output_expl_dofs()¶

This is not well implemented => this has to be redone !!.