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Modelling and Analysis of Availability for Critical Interdependent Infrastructures

Shafiee, M (2016) Modelling and Analysis of Availability for Critical Interdependent Infrastructures. International Journal of Risk Assessment and Management, 19 (4). pp. 299-314. ISSN 1466-8297. E-ISSN 1741-5241. (doi:10.1504/IJRAM.2016.079608) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:79776)

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The requirement for improving the availability level of critical infrastructures has recently experienced a great increase. In this paper, we propose an availability analysis framework for critical interdependent infrastructures exposed to disruptions caused by equipment failures, cascading errors from neighbouring infrastructures and the damages resulted from natural catastrophes. In this framework, the Muir web network is used to represent the critical infrastructures' interdependencies, and the Markov chain Monte Carlo simulation method is applied to quantitative evaluation of the availability. For the purpose of clearly illustrating the analysis approach, we estimate the availability of an electric power system embedded in the connected fuel and water supplies, and the telecommunication and transportation networks (road, rail, sea, and air) that support its operation. A numerical example illustrates the influence of critical interdependencies on overall availability and provides insights into how to enhance system uptime.

Item Type: Article
DOI/Identification number: 10.1504/IJRAM.2016.079608
Uncontrolled keywords: reliability, availability, critical infrastructures, system interdependence, system dependence, Muir web network, Markov chain Monte Carlo, MCMC, modelling, equipment failures, cascading errors, natural disasters, critical interdependencies, electric power systems, fuel supplies, water supplies, telecommunications, transport networks
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TJ Mechanical engineering and machinery
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Mahmood Shafiee
Date Deposited: 24 Jan 2020 19:08 UTC
Last Modified: 17 Aug 2022 12:22 UTC
Resource URI: (The current URI for this page, for reference purposes)
Shafiee, M:
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