Load patterns are collections of loads that are applied to model members. A model can have multiple load patterns and analyze them separately.
add_load_pattern()
Creates a new load pattern in the model.
model.add_load_pattern(
name='Dead Load',
self_weight_multiplier=1.0,
state=StateType.ACTIVE
)
Parameters
Multiplier for self-weight loads. Default is 0.0 (no self-weight)
state
str | StateType
default:"StateType.ACTIVE"
State of the load pattern. Can be:
'ACTIVE' or StateType.ACTIVE - Pattern is active and will be analyzed'INACTIVE' or StateType.INACTIVE - Pattern is inactive and will be ignored
Returns
The created load pattern object
Raises
ValueError - If a load pattern with the same name already exists
set_state_load_pattern()
Changes the state of an existing load pattern.
model.set_state_load_pattern(
load_pattern_name='Dead Load',
state=StateType.INACTIVE
)
Parameters
Name of the load pattern to modify
New state for the load pattern. Can be:
'ACTIVE' or StateType.ACTIVE - Pattern is active and will be analyzed'INACTIVE' or StateType.INACTIVE - Pattern is inactive and will be ignored
Raises
ValueError - If the load pattern does not exist
Example Usage
import milcapy as milca
from milcapy.utils.types import StateType
# Create model
model = milca.SystemMilcaModel()
# Create active load pattern with self-weight
model.add_load_pattern(
name='Dead Load',
self_weight_multiplier=1.0,
state=StateType.ACTIVE
)
# Create inactive live load pattern
model.add_load_pattern(
name='Live Load',
state='INACTIVE'
)
# Activate the live load pattern later
model.set_state_load_pattern(
load_pattern_name='Live Load',
state=StateType.ACTIVE
)
