Probit Command

Fragilities.Probit(Tag, Distribution_Type='normal', K1=1, K2=0.5, Scale_Factor=1, MinRndVar=0)

This command is used to define the structures vulnerability to the physical effects. Obviously one of its axes is the magnitude of the physical effect (Radiation, Overpressure, Toxic) that this model is considered for.

Argument	Type	Description
Tag	int	Unique integer value that will be used for referring to the defined elements or objects.
Distribution_Type	str	Type of the distribution that is considered for the fragility. Currently there is three types that can be select by the users: ‘normal’, ‘lognormal’.
K1, K2	float	Probit Normal (\(Y=K_1 x+K_2\)) and Lognormal (\(Y=K_1 ln⁡x+K_2\)) coefficients.
Scale_Factor	float	Scale factor for magnitude of the physical effect that converts the Probit magnitude values to the SI system.
MinRndVar	float	A value that will be consider as the minimum intensity of random variable and the defined probit function returns 0 for random variables less than this value (Example: if minimum radiation that injure is 4 this value should be enter 4 then for any value less or equal to 4 its probit will return 0 as the probit probability)

Example:

Create some imaginary materials:

Python Code

import opensrane as opr

Radiation=5
opr.Fragilities.Probit(Tag=Radiation, Distribution_Type='lognormal', K1=2, K2=-30.9,Scale_Factor=1000)

OverPressure=6
opr.Fragilities.Probit(Tag=OverPressure, Distribution_Type='normal', K1=1.37, K2=-1.47,Scale_Factor=1000)

Toxic=7
opr.Fragilities.Probit(Tag=Toxic, Distribution_Type='lognormal', K1=0.71, K2=-9.82)

Code Developed by: Bijan Sayyafzadeh