Pipeline damage

Pipeline damage#

Description

This analysis computes pipeline damage based on a particular hazard. Currently supported hazards are: earthquake and tsunami.

The process for computing the structural damage is similar to other parts of the built environment. First, a fragility is obtained based on the hazard type and attributes of the pipeline. Based on the fragility, the hazard intensity at the location of the pipeline is computed. Using this information, the probability of exceeding each limit state is computed, along with the probability of damage. If the pipeline dataset contains soil information, the median value of the associated fragility can be modified to account for liquefaction in the damage.

The outputs of this analysis are CSV file with probabilities of damage and JSON file with information about hazard and fragilities.

Input Parameters

key name	type	name	description
`result_name`	`str`	Result name	Name of the result dataset.
`hazard_type`	`str`	Hazard type (earthquake and tsunami).
`hazard_id` ^*	`str`	Hazard id	ID of the hazard from the Hazard service.
`fragility_key`	`str`	Fragility key	Fragility key used in mapping dataset.
`liquefaction_geology_dataset_id`	`str`	Geology id	A geology dataset for liquefaction adjustment.
`num_cpu`	`int`	Number of CPUs	Number of CPUs used for parallel computations. Default 1.

Input Hazards

key name	type	name	description
`hazard`	`earthquake` `tsunami`	Hazard	Supported hazard object for using local and remote hazards.

Input Datasets

key name	type	name	description
`pipeline` ^*	`ergo:buriedPipelineTopology`, `ergo:pipeline`	Pipeline dataset	A pipeline dataset.
`dfr3_mapping_set` ^*	`incore:dfr3MappingSet`	DFR3 Mapping Set	DFR3 Mapping Set.

Output Datasets

key name	type	parent key	name	description
`result` ^*	`incore:pipelineDamageVer2`	`pipeline`	Results	A dataset containing results (format: CSV).
`damage_result` ^*	`pipelineDamageSupplement`	`pipeline`	Results	Information about applied hazard value and fragility (format: JSON).

(* required)

Execution

code snippet:

    # Create Pipeline damage analysis
    pipeline_dmg = PipelineDamage(client)

    # Load pipeline inventory for Seaside, OR
    pipeline_dmg.load_remote_input_dataset("pipeline", pipeline_id)

    # Load fragility mapping
    fragility_service = FragilityService(client)
    mapping_set = MappingSet(fragility_service.get_mapping(mapping_id))
    pipeline_dmg.set_input_dataset('dfr3_mapping_set', mapping_set)

    # Set result name
    pipeline_dmg.set_parameter("result_name", "seaside_tsunami_pipeline_result")

    # Set a hazard: Seaside Tsunami
    pipeline_dmg.set_parameter("hazard_type", "tsunami")
    pipeline_dmg.set_parameter("hazard_id", hazard_id)

    # Set number of CPU for computation
    pipeline_dmg.set_parameter("num_cpu", 4)

    # Run pipeline damage analysis
    result = pipeline_dmg.run_analysis()

full analysis: pipeline_dmg.ipynb