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[str]	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