apply_load_distribution

opstool.pre.apply_load_distribution(node_tags=None, coord_axis='z', load_axis='x', dist_type='triangle', sum_normalized=True, plot=False)

Apply load distribution along specified coordinate axis.

Note

The load is applied to the OpenSeesPy domain. If sum_normalized=True, The sum of the loads for all nodes is 1.0. If sum_normalized=False, The maximum load is set to 1.0.

Parameters:

node_tagslist, tuple, int, optional

The node tags where the load will be applied. If None, the function will apply the load to all nodes.

coord_axisstr, default=’z’

The coordinate axis along which the load is distributed (‘x’, ‘y’, or ‘z’).

load_axisstr, default=’x’

The load direction (‘x’, ‘y’, or ‘z’).

dist_typestr, default=’triangle’

Type of distribution (‘triangle’, “parabola”, ‘half_parabola_concave’, ‘half_parabola_convex’, ‘uniform’).

sum_normalizedbool, default=True

If True, the loads are normalized to ensure their sum is 1.0. If False, the maximum load is set to 1.0.

plotbool, optional

If True, plots the load distribution graph.

Returns:

node_loadsdict

A dictionary containing the node tags and the corresponding normalized loads.