University of Illinois Urbana-Champaign

Regional risk and resilience analysis of interdependent critical infrastructure

Guidotti, Roberto

Content Files
GUIDOTTI-DISSERTATION-2018.pdf

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https://hdl.handle.net/2142/101789

Description

Title
Regional risk and resilience analysis of interdependent critical infrastructure
Author(s)
Guidotti, Roberto
Issue Date
2018-07-06
Director of Research (if dissertation) or Advisor (if thesis)
Gardoni, Paolo
Doctoral Committee Chair(s)
Gardoni, Paolo
Committee Member(s)
  • Chen, Yuguo
  • Schmidt, Arthur R.
  • van de Lindt, John
Department of Study
Civil & Environmental Eng
Discipline
Civil Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Date of Ingest
2018-09-27T16:47:24Z
Keyword(s)
  • Regional risk and resilience analysis
  • Interdependent critical infrastructure.
Abstract
Critical infrastructure (such as water and wastewater, electric power, transportation, and telecommunication systems) constitute the backbone of modern society. They provide essential goods and services to communities, supporting the population’s well-being. Hazard events of past years revealed that the vulnerability of communities is related to the vulnerability of their critical infrastructure. Critical infrastructure are exposed to low-probability high-consequence hazard events. Reductions and interruptions in their functionality may result in considerable impacts on society. A prompt recovery of the critical infrastructure leads to a prompt recovery of the economic vitality and the general well-being of the impacted communities. Interdependencies among infrastructure and between infrastructure and social systems may increase the vulnerability of communities and exacerbate the impact of hazard events, often resulting in widespread disruption and slower recovery. This dissertation proposes a novel probabilistic methodology to quantify the reliability and resilience of interdependent critical infrastructure. Infrastructure are modeled mathematically as networks, extending to civil engineering applications well-established tools of graph theory. Topology and flow-based approaches are used to translate the physical damage of the single components into loss or reduction of network functionality and to develop network capacity and demand models. Network capacity and demand models are integrated in a time-varying network reliability and resilience analysis to assess the network response in the immediate aftermath of a hazard event and at different times during recovery process, as the network components are repaired. To capture the role of interdependencies and propagate the loss or reduction of functionality across all dependent networks, this dissertation presents a novel multi-layer heterogeneous network model. In the proposed model, the heterogeneity comes from having different components in each infrastructure (i.e., generation, storage, transmission and distribution components). The different classes of interdependency (e.g., physical, geographical, social, etc.) are modeled as different layers. This dissertation applies the proposed methodology to a series of example testbeds, including isolated and interdependent, virtual and real critical infrastructure. Results shed light into the role of interdependencies among infrastructure and between infrastructure and social systems in the recovery of communities. Results of this dissertation aim to benefit civil engineers to develop cost-effective mitigations measures and practices in infrastructure design, construction and planning, as well as emergency managers, planners and the community to be better prepared for future hazard events.
Graduation Semester
2018-08
Type of Resource
text
Permalink
http://hdl.handle.net/2142/101789
Copyright and License Information
Copyright 2018 Roberto Guidotti

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