Vulnerability analysis of interdependent infrastructure systems

Giulio Galvan, Jitendra Agarwal

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

As resilience of infrastructure systems gains importance to deal with the uncertainty related to extreme natural events, there is increasing emphasis on the design of systems that do not fail catastrophically. The consequences of a perturbation on a system depend both on the magnitude of the perturbation and the vulnerability of the system. The assessment of the vulnerability of infrastructure systems presents the challenge of dealing with their complexity. This paper presents a method to identify the elements of a system which have the potential to trigger cascading failures thus making the system vulnerable. A new predictive metric (X1) is introduced and variations in the system parameters that could affect its predictive capabilities are explored. Networks which have properties comparable to real-world infrastructures such as transportation and utility supply systems are simulated. It is found that the correlation between the new metric and the behaviour of the system holds across all the spectrum of the
simulations performed.
Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12)
Subtitle of host publicationVancouver, Canada, July 12-15
EditorsTerje Haukaas
PublisherUniversity of British Columbia
Number of pages8
ISBN (Electronic)9780888652454
DOIs
Publication statusPublished - Jul 2015
Event12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012 - Vancouver, Canada
Duration: 12 Jul 201515 Jul 2015

Conference

Conference12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012
CountryCanada
CityVancouver
Period12/07/1515/07/15

Structured keywords

  • Smart Networks for Sustainable Futures

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