Journal ArticleDOI
Probabilistic multi-scale modeling of interdependencies between critical infrastructure systems for resilience
Chloe Johansen,Iris Tien +1 more
- Vol. 3, Iss: 1, pp 1-15
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TLDR
This work proposes a methodology to model interdependencies probabilistically using a novel Bayesian network approach, and describes three comprehensive interdependency types – service provision, geographic, and access for repair.Abstract:
The prevalence of aging infrastructure and an increase in cascading failures have highlighted the need to focus on building strong, interdependent infrastructure systems to increase resilience. To ...read more
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Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks
TL;DR: A novel approach to assess the time-dependent resilience of engineering systems using resilience indicators using the Dynamic Bayesian Network (DBN), a mathematical probabilistic framework based on the DBN is developed to model the resilience of dynamic engineering systems.
Journal ArticleDOI
Modeling and assessing interdependencies between critical infrastructures using Bayesian network: A case study of inland waterway port and surrounding supply chain network
Niamat Ullah Ibne Hossain,Safae El Amrani,Raed Jaradat,Mohammad Marufuzzaman,Randy K. Buchanan,Christina H. Rinaudo,Michael Hamilton +6 more
TL;DR: The aim of this paper is to model and assess the interdependency between inland port infrastructure and its surrounding supply chain and to show how the disturbance in one will have a ripple effect and trigger cascading failures in the entire network.
Journal ArticleDOI
Probabilistic decision-support framework for community resilience: Incorporating multi-hazards, infrastructure interdependencies, and resilience goals in a Bayesian network
Sabarethinam Kameshwar,Daniel T. Cox,Andre R. Barbosa,Karim Farokhnia,Hyoungsu Park,Mohammad S. Alam,John W. van de Lindt +6 more
TL;DR: This framework is applied for resilience assessment of building, transportation, water, and electric power infrastructure systems in Seaside, Oregon, under combined earthquake ground shaking and tsunami inundation hazards corresponding to different return periods.
Journal ArticleDOI
Reliability Assessment of Critical Infrastructure Using Bayesian Networks
Iris Tien,Armen Der Kiureghian +1 more
TL;DR: The authors present a Bayesian network (BN)-based approach for modeling and reliability assessment of infrastructure systems and show that the BN is a powerful framework that is able to account for unce...
References
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Journal ArticleDOI
Identifying, understanding, and analyzing critical infrastructure interdependencies
TL;DR: A conceptual framework for addressing infrastructure interdependencies is presented that could serve as the basis for further understanding and scholarship in this important area and is used to explore the challenges and complexities of interdependency.
Journal ArticleDOI
Review on modeling and simulation of interdependent critical infrastructure systems
TL;DR: To better understand CISs to support planning, maintenance and emergency decision making, modeling and simulation of interdependencies across CISs has recently become a key field of study and this paper reviews the studies in the field and broadly groups the existing modeling and Simulation approaches into six types.
Journal ArticleDOI
Improving the analysis of dependable systems by mapping fault trees into Bayesian networks
TL;DR: It is shown that any FT can be directly mapped into a BN and that basic inference techniques on the latter may be used to obtain classical parameters computed from the former, i.e. reliability of the Top Event or of any sub-system, criticality of components, etc.
Journal ArticleDOI
Input-Output Economics
F. G. Pyatt,Wassily Leontief +1 more
TL;DR: The only comprehensive introduction which Leontief has written to his model of Input-Output Economics, for which he was awarded the Nobel Prize in economic Science in 1972, is.
Journal ArticleDOI
Measuring Improvements in the Disaster Resilience of Communities
TL;DR: Resilience measures that relate expected losses in future disasters to a community's seismic performance objectives are proposed and demonstrated in a case study of the Memphis, Tennessee, water delivery system.