Recovery Simulation

Recovery (repair time) is sumulated for damaged buildings based on the level of damaged sustained by the buildings, building occupancy type and recovery time recommended by FEMA. [R1] FEMA (2020) guideline provides expected mean repair time by building occupancy type for various damage states. To account the uncertainity in recovery time, a COV was assumed for correspond to mean recovery time. More information on the initializer can be found in the API documentation, under recovery section.

Following as an example of recovery simulation:

# recovery of building, data: building invetory with damage state and occupancy type.
building_dmg= pd.merge(blg, df_ds, on='id')

# Simulating Recovery Time of Buildings (RT_bldg: recovery time of building)
recovery_time = rep(result_blg_dmg)
result_blg_dmg['RT_bdg'] = list(recovery_time)

# Recovery Analysis - Multiple Recovery Scenarios using Monte Carlo Simulation
# (x: time steps, all, mean, min, and max of recovery curves from silumations)
x, all_simulations, mean, minimum, maximum = recovery_monte_carlo_simulation(result_blg_dmg, num_simulations=100000)

# Recovery of electrical pole, epn_data: epn invetory with failure state
df_recovery_epn=rep_EPN(epn_data)

Fig 4. Example Recovery Curves.