Pb_LOC Command

Connectors.Pb_LOC(tag, ProbitTag, OutFlowModelTagList, LOCProbabilityList=None)

Same definition of DS_LOC but for connecting each probit model to its corresponding physical effects.

Argument	Type	Description
Tag	int	Unique integer value that will be used for referring to the defined elements or objects.
ProbitTag	int	The defined probit model tag that user wants to define its corresponding physical effect models.
OutFlowModelTagList	list of int	List of outflow models that can happen after happening defined probit tag.
LOCProbabilityList	list of float	List of the outflow models probabilities that program select a loss of containment (LOC) model according them.

Note

If user do not enter LOCProbabilityList or enter None, the program will consider a uniform distribution for the defined models. If summation of the defined probabilities does not be equal to unity, program will normal the according their weights to be equal unity.

Example:

Create some imaginary materials:

Python Code

import opensrane as opr

opr.Connectors.Pb_LOC(tag=13, ProbitTag=5,  OutFlowModelTagList=[1,2,3,4,5],  LOCProbabilityList=[1,1,1,1,1])

Code Developed by: Bijan Sayyafzadeh