sfeprapy.func.mcs_gen Introduction
To set the fire_load_density as a constant in the problem definition file:
| PARAMETERS | Example Case |
|---|---|
| ⋮ | ⋮ |
| fire_load_density | 400 |
| ⋮ | ⋮ |
To set the fire_load_density as a stochastic variable (gumbel_r distribution) in the problem definition file:
| PARAMETERS | Example Case |
|---|---|
| ⋮ | ⋮ |
| fire_load_density:dist | gumbel_r_ |
| fire_load_density:mean | 420 |
| fire_load_density:sd | 127 |
| fire_load_density:ubound | 2000 |
| fire_load_density:lbound | 50 |
| ⋮ | ⋮ |
A full list of distributions are described in following sections.
dist: str
Set to 'gumbel_r_' for Gumbel Distribution (right-skewed).
mean: float
True mean of the distribution.
sd: float
True Standard Deviation of the distribution.
ubound: float
Upper limit of the sampled values, i.e. the maximum value of the x-axis of a CDF.
lbound: float
Lower limit of the sampled values, i.e. the minimum value of the x-axis of the CDF.
dist: str
Set to 'lognorm_' for Lognormal Distribution.
mean: float
True mean of the distribution.
sd: float
True Standard Deviation of the distribution.
ubound: float
Upper limit of the sampled values, i.e. the maximum value of the x-axis of a CDF.
lbound: float
Lower limit of the sampled values, i.e. the minimum value of the x-axis of the CDF.
This distribution gives 1-φ, where φ is a lognormal distribution.
dist: str
Set to 'lognorm_mod_' for the modified lognormal distribution.
mean: float
True mean of the distribution.
sd: float
True Standard Deviation of the distribution.
ubound: float
Upper limit of the sampled values, i.e. the maximum value of the x-axis of a CDF.
lbound: float
Lower limit of the sampled values, i.e. the minimum value of the x-axis of the CDF.
dist: str
Set to 'norm_' for Normal Distribution.
mean: float
True mean of the distribution.
sd: float
True Standard Deviation of the distribution.
ubound: float
Upper limit of the sampled values, i.e. the maximum value of the x-axis of a CDF.
lbound: float
Lower limit of the sampled values, i.e. the minimum value of the x-axis of the CDF.
dist: str
Set to 'uniform_' for uniform distribution.
ubound: float
Upper limit of the values to be sampled, i.e. the maximum value of the x-axis of the distribution's CDF.
lbound: float
Lower limit of the values to be sampled, i.e. the minimum value of the x-axis of the distribution's CDF.