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dc.contributor.authorGardoni, Paolo
dc.contributor.authorDunton, Aaron
dc.contributor.authorICASP14
dc.date.accessioned2023-08-03T13:35:33Z
dc.date.available2023-08-03T13:35:33Z
dc.date.issued2023
dc.identifier.citationAaron Dunton, Paolo Gardoni, Developing digital twins of infrastructure for risk analysis, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023.
dc.identifier.urihttp://hdl.handle.net/2262/103395
dc.descriptionPUBLISHED
dc.description.abstractInfrastructure are vulnerable to natural and anthropogenic hazards. The general steps in the risk analysis of infrastructure include modeling the undamaged network, modeling the hazard, predicting the damage to components, and assessing the functionality of the network given the predicted damage. However, these steps require information about the infrastructure that might not be available. This work develops a general procedure to generate representative and functionally equivalent models (i.e., digital twins) of infrastructure. The proposed procedure is systematic and uses detailed geospatial information that are generally available. By using only these data, representative networks can be generated for most locations of interest. We also develop a general modeling approach to assess the impact of localized damage on infrastructure networks. We consider the uncertainty in the network topology by generating multiple representative network realizations. Finally, we demonstrate the proposed procedures by generating representative wastewater networks and assessing the impact of localized damage on the network for a case study location.
dc.language.isoen
dc.relation.ispartofseries14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.rightsY
dc.titleDeveloping digital twins of infrastructure for risk analysis
dc.title.alternative14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.typeConference Paper
dc.type.supercollectionscholarly_publications
dc.type.supercollectionrefereed_publications
dc.rights.ecaccessrightsopenAccess


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    14th International Conference on Application of Statistics and Probability in Civil Engineering

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