Mean damage#

Description

The process for computing the structural damage uses mean damage and standard deviation values from damage ratios tables. The four damage state probabilities are multiplied by the mean damage and aggregated to get the Mean damage for each individual structure (building, bridge, waterfacility etc.).

The output of this analysis is a CSV file with probabilities of damage.

Input parameters

key name

type

name

description

result_name *

str

Result name

Name of the result dataset.

damage_interval_keys *

list

Damage ratio

Names of the four damage intervals.

num_cpu

int

Number of CPUs

Number of CPUs used for parallel computation.
Default is 1.

Input datasets

key name

type

name

description

damage *

ergo:buildingDamageVer4
ergo:buildingDamageVer5
ergo:nsBuildingInventoryDamage
ergo:nsBuildingInventoryDamageVer2
ergo:bridgeDamage
ergo:bridgeDamageVer2
ergo:waterFacilityDamageVer4
ergo:waterFacilityDamageVer5
ergo:roadDamage
ergo:roadDamageVer2
incore:epfDamage
incore:epfDamageVer2
incore:pipelineDamage
incore:pipelineDamageVer2

Infrastructure dataset

An infrastructure dataset.

dmg_ratios *

ergo:buildingDamageRatios
ergo:bridgeDamageRatios
ergo:buildingContentDamageRatios
ergo:buildingASDamageRatios
ergo:buildingDSDamageRatios
ergo:roadDamageRatios

Damage ratios

A damage ratios dataset.

Output datasets

key name

type

name

description

result *

ergo:meanDamage

Results

A dataset containing results
(format: CSV).

(* required)

Execution

code snippet:

    # Create mean damage instance
    md = MeanDamage(client)

    # Load input datasets
    md.set_input_dataset("damage", bridge_damage_result)
    md.load_remote_input_dataset("dmg_ratios", dmg_ratios_id)

    # Specify the result name
    result_name = "result_name"

    # Set analysis parameters
    md.set_parameter("result_name", "bridge_mean_damage")
    md.set_parameter("damage_interval_keys",["DS_0", "DS_1", "DS_2", "DS_3", "DS_4"])
    md.set_parameter("num_cpu", 1)

    # Run mean damage analysis
    md.run_analysis()

full analysis: mean_dmg.ipynb