Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Reliability of Critical Infrastructure Networks: Challenges
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.
Reliability of Critical Infrastructure Networks: Challenges
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.
Reliability of Critical Infrastructure Networks: Challenges
Zuev, Konstantin M. (Autor:in) / Beer, Michael (Autor:in)
2016 International Workshop on Resiliency of Urban Tunnels ; 2016 ; Reston, Virginia, USA
13.08.2018
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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