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International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP) (12th : 2015)
Vulnerability analysis of interdependent infrastructure systems Galvan, Giulio; Agarwal, Jitendra
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.
Item Metadata
Title |
Vulnerability analysis of interdependent infrastructure systems
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Creator | |
Contributor | |
Date Issued |
2015-07
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Description |
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.
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Genre | |
Type | |
Language |
eng
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Notes |
This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.
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Date Available |
2015-05-25
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivs 2.5 Canada
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DOI |
10.14288/1.0076297
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URI | |
Affiliation | |
Citation |
Haukaas, T. (Ed.) (2015). Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12), Vancouver, Canada, July 12-15.
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Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivs 2.5 Canada