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gh-pages documentation updated
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.github/workflows/publish_docs.yml

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cd docs
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make html
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- name: Add .nojekyll file
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run: touch docs/build/html/.nojekyll
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run: touch .nojekyll
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- name: Deploy to GitHub Pages
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uses: peaceiris/actions-gh-pages@v4
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with:
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github_token: ${{ secrets.GITHUB_TOKEN }}
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publish_dir: docs/build/html # directory containing built HTML files
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publish_dir: . # directory containing built HTML files

docs/source/ch01_intro.rst

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Introduction
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************
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Critical infrastructure facilities typically comprise a number of
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Critical infrastructure assets typically comprise a number of
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interconnected components that work in concert to deliver a service.
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In the context of natural hazard vulnerability, the components have differing
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susceptibilities, require different resource levels and time to repair, and
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have a range of criticalities to the overall service delivery. The
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vulnerability of the facility, then, is a product of the components,
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vulnerability of the asset, then, is a product of their constituent components,
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their properties and interactions.
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SIRA stands for *Systemic Infrastructure Resilience Analysis*.
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It comprises a method and software tools that provide a framework for
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simulating the fragility of infrastructure facilities to natural hazards,
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simulating the fragility of infrastructure assets to natural hazards,
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based on assessment of the fragilities and configuration of components that
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comprises the facility. Currently the system is designed to work with
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comprises the asset. To date system has been used to work with
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earthquake hazards only. ``SIRA`` enables the vulnerabilities of each element
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to be within a facility or a network to be integrated into a holistic
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assessment of the direct system losses, service disruption and cost.
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SIRA is used to model the vulnerability of high-value infrastructure
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facilities to natural hazards. Earthquake ground motion is the present focus
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and many uncertainties are captured through a Monte Carlo sampling process.
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systems to natural hazards. The infrastructure types can be individual
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sites or facilities (e.g., an electrical substation, or a water treatment plant)
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or networks (e.g., an electricity transmission network, water transmission
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network. etc.).
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Earthquake ground motion has been the primary focus.
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Uncertainties are captured through a Monte Carlo sampling process.
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The tool facilitates quantification of infrastructure assets' vulnerability,
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and also enables the most vulnerable components to be identified in terms of
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repair cost, time to recovery, and service disruption implications. The
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outcomes also support benefit-versus-cost studies of retrofit options.
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SIRA helps generate information that supports asset managers in regards
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to the most cost-effective utilisation of limited retrofit resources.
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repair cost, time to recovery, and implications for service continuity. The
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tool has also been designed and tested to assess risk, but that functionality
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would typically require that the simulation be run in high performace computing
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environment.
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The outcomes of this tool can support identification of retrofit options,
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and their relative efficacy in reducing risk.
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SIRA can be used in generating information for cost-benefit analyses
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of retrofit options, which can support asset managers in decisions around the
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most cost-effective utilisation of limited retrofit resources.
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.. _intro-design-notes:

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