tcra.damageprob package

Submodules

tcra.damageprob.DamageProbability module

The tcra DamageProbabilityCalculator class estimates probabilites of damage states.

class DamageProbabilityCalculator

Bases: object

This is Damage Probability Analysis class. This class estimates probabilities of various damage states.

Parameters:

• inp_file_name – building invetory, failure state keys that defines failure.

• pf – probability of failure estimated from Monte Carlo simulation

• df – building inventory dataframe with damage state

• dmg – damage state

Returns:

• pdf – probability density function

• cdf – cumulative distribution function

__init__(failure_state_keys)

calc_probability_failure_value(ds_sample)

Calculate the probability of failure given damage states of buildings.

Parameters:

• failure_state_keys – failure key states - define the failure based on damage states

• ds_sample – building inventory samples

Returns:

estimate number of times structure is failied from total number of samples

Return type:

func

sample_damage_interval(bldg_result, damage_interval_keys, num_samples, seed)

Calculate damage invervals and assign damage states to structure in each sampling.

Parameters:

• damage_interval_keys – damage interval - define damage inteval based on damage states

• bldg_result – building inventory with damage states

• num_samples – number of Monte Carlo sampling

• seed – generate pseudo-random numbers

Returns:

• ki – ids

• dt – probability of failure (pf)

tcra.damageprob.probplot module

plot_lognormal_distribution(result_bldg)

this function plots probability distribution functions for fitted lognormal probability of failure data.

Parameters:

• pf – probability of failure estimated - Monte Carlo simulation

• df – building inventory dataframe with damage state

• dmg – damage state

Returns:

• pdf – probability density function

• cdf – cumulative distribution function

Module contents