Chapter
Aug 14, 2018
Chapter 6
Reliability of Critical Infrastructure Networks: Challenges
Authors: Konstantin M. Zuev, Ph.D. [email protected], and Michael Beer, Dr.-Ing. [email protected]Author Affiliations
Publication: Resilience Engineering for Urban Tunnels
Abstract
This chapter adopts a network perspective, discussing the ever-growing need for fundamental interdisciplinary study of critical infrastructure networks, efficient methods for estimating their reliability, and cost-effective strategies for enhancing their resiliency. It highlights some of the main challenges involved, including cascading failures, feedback loops, and cross-sector interdependencies. The chapter also formulates a general network reliability problem, explaining why it is computationally very challenging, and briefly describes a recently introduced network reliability method. The chapter discusses extending Subset Simulation—an efficient classical reliability method for estimating small failure probabilities of structures—to networks. The key idea behind Subset Simulation is to decompose a very small failure probability into a product of larger conditional probabilities, each of which can be efficiently estimated by a Monte Carlo-like method.
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© 2018 American Society of Civil Engineers.
History
Published online: Aug 14, 2018
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ASCE Technical Topics:
- Analysis (by type)
- Business management
- Design (by type)
- Engineering fundamentals
- Failure analysis
- Financial management
- Forensic engineering
- Infrastructure
- Infrastructure resilience
- Lifeline systems
- Mathematics
- Practice and Profession
- Probability
- Structural design
- Structural engineering
- Structural failures
- Structural reliability
Authors
Affiliations
Department of Computing and Mathematical Sciences, California Institute of Technology, 1200 E. California Blvd., Pasadena, CA, USA; email: [email protected]
Prof.
Institute for Risk and Reliability, Leibniz Universität Hannover, Callinstraße 34, 30167 Hannover, Germany; email: [email protected]
Institute for Risk and Uncertainty, University of Liverpool, UK
International Joint Research Center for Engineering Reliability and Stochastic Mechanics, Tongji University, China
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