Model.rigidlinkwithset#

Model.rigidlinkwithset(independent, collection, dependent_set, dof)#

Create a rigid link element with dependent nodes attached as a node set connected to the element. The attached node set may exist before or may be created from a given mark of dependent nodes while the rigid link element is created.

Parameters:

  • independent (Entity) – The independent node of the element.

  • collection (Collection) – The collection containing the dependent node entities.

  • dependent_set (unsigned int) –

    The ID of an existing nodes set being attached to the rigid link.

    0 - if the rigid link and an attached nodes set are being created using a mark of dependent nodes.

  • dof (hwBoolList) – The degrees of freedom for which the element is active (True or False in any of the 6 degrees of freedom).

Examples#

Create a rigid link element with independent node with ID 100 and dependent nodes with IDs 101 , 102 , and 103 with nodes have all six degrees of freedom#
import hm
import hm.entities as ent

model = hm.Model()

# Creating a collection that contains the dependent nodes
dependent_nodes_collection = hm.Collection(model, ent.Node, [101, 102, 103])

model.rigidlinkwithset(
    independent=ent.Node(model, 100),
    collection=dependent_nodes_collection,
    dependent_set=0,
    dof=[True, True, True, True, True, True],
)

# A new nodes set with an autogenerated name is created for the rigid link element, the dependent nodes 101,102,103 being placed to this nodes set
Create a rigid link element with independent node with ID 100 and set with ID 25 attached as a dependent node set , with nodes have all six degrees of freedom#
import hm
import hm.entities as ent

model = hm.Model()

# Creating a collection that contains the dependent nodes
dependent_nodes_collection = hm.Collection(model, ent.Node, [101, 102, 103])

model.rigidlinkwithset(
    independent=ent.Node(model, 100),
    collection=hm.Collection(model, ent.Node, populate=False),
    dependent_set=25,
    dof=[True, True, True, True, True, True],
)