pyHarm.Elements.NodeToNodeElements.NodeToNodeElement

This module contains the basic NodeToNodeElement class being a abstract class derived from the ABCElement class It mostly implements a part of the required abstract methods : the methods that generates the indices from the input datas.

Classes

NodeToNodeElement

Abstract ABCElement subclass that implements some of the methods in order to help building a node to node connector.

Functions

ConstructorPslavemaster(nsub, subs, nodes, sub_expl_dofs)

Function that creates the selection matrices for the slave dofs and the master dofs.

Module Contents

pyHarm.Elements.NodeToNodeElements.NodeToNodeElement.ConstructorPslavemaster(nsub, subs, nodes, sub_expl_dofs)

Function that creates the selection matrices for the slave dofs and the master dofs.

Parameters:

  • nsub (int) – number of substructures that are connected with the kinematic condition.

  • subs (list[str]) – list containing the name of the substructures connected with the kinematic condition.

  • nodes (list[list[int]]) – list of nodes list that are connected with the kinematic condition.

  • sub_expl_dofs (pd.DataFrame) – explicit dofs DataFrame.

Returns:

selection matrix for the slave dofs. np.ndarray: selection matrix for the master dofs.

Return type:

np.ndarray

class pyHarm.Elements.NodeToNodeElements.NodeToNodeElement.NodeToNodeElement(nh: int, nti: int, name: str, data: dict, CS: pyHarm.CoordinateSystem.CoordinateSystem)

Bases: pyHarm.Elements.ABCElement.ABCElement

Abstract ABCElement subclass that implements some of the methods in order to help building a node to node connector.

Parameters:

  • nh (int) – number of harmonics.

  • nti (int) – number of time steps.

  • name (str) – name given to the kinematic condition.

  • data (dict) – dictionary containing all the definition information of the kinematic condition.

  • CS (CoordinateSystem) – local or global coordinate system the kinematic condition is defined on.

indices

index of the dofs that the kinematic conditions needs.

Type:

np.ndarray

Pdir

a slice of first dimension is a transformation matrix to a direction in local coordinate system.

Type:

np.ndarray

Pslave

selection array that selects the slave dofs of the kinematic condition.

Type:

np.ndarray

Pmaster

selection array that selects the master dofs of the kinematic condition.

Type:

np.ndarray

subs

list containing the name of the substructures tht are involved.

Type:

list[str]

nbSub

number of substructure involved.

Type:

int

nodes

list of list of nodes the kinematic conditions act on.

Type:

list[list]

nbdofi

number of nodes involved per substructure.

Type:

int

__init_data__(name, data, CS)

” Method that interprets and deals with the input dictionary by creating some of the essential attributes.

subs

list containing the name of the substructures tht are involved.

Type:

list[str]

nbSub

number of substructure involved.

Type:

int

nodes

list of list of nodes the kinematic conditions act on.

Type:

list[list]

nbdofi

number of nodes involved per substructure.

Type:

int

__str__()
generateIndices(expl_dofs: pandas.DataFrame)

From the explicit dof DataFrame, generates the index of dofs concerned by the connector.

Parameters:

expl_dofs (pd.DataFrame) – explicit dof DataFrame from the studied system.

indices

index of the dofs that the connector needs.

Type:

np.ndarray

Pdir

a slice of first dimension is a transformation matrix to a direction in local coordinate system.

Type:

np.ndarray

Pslave

selection array that selects the slave dofs of the connector.

Type:

np.ndarray

Pmaster

selection array that selects the master dofs of the connector.

Type:

np.ndarray

_generateMatrices(sub_expl_dofs)
_evalJaco_DF(xg, om, step)

Computes the jacobian using finite difference method.

Parameters:

  • xg (np.ndarray) – full displacement vector.

  • om (float) – angular frequency value.

  • step (float) – step size for the finite difference method.

Returns:

jacobian with respect to displacement vector. dJdom (np.ndarray): jacobian with respect to angular frequency.

Return type:

dJdx (np.ndarray)