Nested Tables

In this example we will demonstrate: Connecting to RFEM and creating new model Work with Load Confination nested tables Read the comments for detailed instructions.

import dlubal.api.rfem as rfem
from dlubal.api.common import Vector3d

with rfem.Application() as client:
    client.close_all_models(save_changes=False)
    client.create_model(name="nested_tables")
    client.delete_all_objects()

    ############################################
    # Test NURBS line with nested tables:
    ############################################

    client.create_object_list([
        rfem.structure_core.Node(no=1, global_coordinates=Vector3d(x=3.000, y=-1.000, z=0.000)),
        rfem.structure_core.Node(no=2, global_coordinates=Vector3d(x=4.000, y=-1.000, z=0.000))
    ])

    # Prepare NURBS control points table.
    # The first and last row correspond to the end nodes so we don't need to set any data for them.
    control_points = rfem.structure_core.Line.NurbsControlPointsTable(
        rows=[
            rfem.structure_core.Line.NurbsControlPointsRow(),
            rfem.structure_core.Line.NurbsControlPointsRow(global_coordinates=Vector3d(x=1.205, y=-2.793, z=0.000), weight=1.100),
            rfem.structure_core.Line.NurbsControlPointsRow(global_coordinates=Vector3d(x=1.000, y=-4.000, z=0.000), weight=1.200),
            rfem.structure_core.Line.NurbsControlPointsRow(global_coordinates=Vector3d(x=3.000, y=-4.000, z=0.000), weight=1.300),
            rfem.structure_core.Line.NurbsControlPointsRow(global_coordinates=Vector3d(x=2.000, y=-6.000, z=0.000), weight=1.400),
            rfem.structure_core.Line.NurbsControlPointsRow(global_coordinates=Vector3d(x=1.000, y=-8.000, z=0.000), weight=1.500),
            rfem.structure_core.Line.NurbsControlPointsRow(global_coordinates=Vector3d(x=3.000, y=-8.000, z=0.000), weight=1.600),
            rfem.structure_core.Line.NurbsControlPointsRow(global_coordinates=Vector3d(x=5.000, y=-5.000, z=0.000), weight=1.700),
            rfem.structure_core.Line.NurbsControlPointsRow(global_coordinates=Vector3d(x=4.000, y=-3.000, z=0.000), weight=1.800),
            rfem.structure_core.Line.NurbsControlPointsRow(global_coordinates=Vector3d(x=6.000, y=-1.000, z=0.000), weight=1.900),
            rfem.structure_core.Line.NurbsControlPointsRow(),
        ]
    )

    # If we use the 'no' attribute, we are able to set specific rows.
    # If we don't use the 'no' attribute, the entire table will be reset,
    # and table will be truncated or enlarged to the number of rows set (if possible).
    # If the 'no' attribute is set, the table will only be enlarged to fit the largest row number,
    # but never truncated.
    # In this case, we set only row number 5 and other rows are left to be default.
    knot_values = rfem.structure_core.Line.NurbsKnotsTable(
        rows=[
            rfem.structure_core.Line.NurbsKnotsRow(no=5, knot_value=0.15),
        ]
    )

    line = rfem.structure_core.Line(
        no=1,
        type=rfem.structure_core.Line.TYPE_NURBS,
        definition_nodes=[1, 2],
        nurbs_control_points=control_points,
        nurbs_order=3,
        nurbs_knots=knot_values)

    client.create_object(line)

    ############################################
    # Test load combination nested tables:
    ############################################

    load_cases = [
        rfem.loading.LoadCase(no=1, name="Self weight"),
        rfem.loading.LoadCase(no=2, name="Live Load")
    ]

    client.create_object_list(load_cases)

    # Prepare load combination items table.
    items = rfem.loading.LoadCombination.ItemsTable(
        rows=[
            rfem.loading.LoadCombination.ItemsRow(load_case=1, factor=1.35),
            rfem.loading.LoadCombination.ItemsRow(load_case=2, factor=1.5)
        ]
    )
    co = rfem.loading.LoadCombination(no=1, items=items)
    client.create_object(co)

    # Get the created load combination and print it - we get the table data as well.
    co = client.get_object(rfem.loading.LoadCombination(no=1))
    print(co)