Welcome to InfraRisk Simulation Platform’s documentation!

InfraRisk is an experimental Python-based integrated power-, water-, transport network simulation tool. This documentation provides guidelines to install, setup and use the tool for simulation and analysis of infrastructure networks.

We are continuously working to add new features and improve the tool. If you have any questions or suggestions, or would like to collaborate with us, please write to us at srijith.balakrishnan[at]sec.ethz.ch.

Table of Contents

• 1. Introduction
• 2. Methodology and Architecture
  • 2.1. Integrated infrastructure network
  • 2.2. Hazard initiation and vulnerability modeling
  • 2.3. Recovery modeling
  • 2.4. Simulation of direct and indirect effects
  • 2.5. Resilience quantification
• 3. Data requirements
  • 3.1. Infrastructre Networks
  • 3.2. Infrastructure dependencies
  • 3.3. Infrastructure disruption data
• 4. Installation
  • 4.1. From sources
• 5. Getting started
  • 5.1. Shelby county simulation demonstration
  • 5.2. Additional tutorials
• 6. Support
• 7. API Documentation
  • 7.1. Subpackages
  • 7.2. infrarisk.src.network_recovery module
  • 7.3. infrarisk.src.optimizer module
  • 7.4. infrarisk.src.plots module
  • 7.5. infrarisk.src.recovery_strategies module
  • 7.6. infrarisk.src.repair_crews module
  • 7.7. infrarisk.src.resilience_metrics module
  • 7.8. infrarisk.src.simulation module

SEC Disclaimer

This research is carried out by Singapore ETH Centre through its Future Resilient Systems module funded by the National Research Foundation (NRF) Singapore. It is subject to Agency’s review and hence is for internal use only. Not the contents necessarily reflect the views of the Agency. Mention of trade names, products, or services does not convey official NRF approval, endorsement, or recommendation.

Funding Statement

The project is funded by the National Research Foundation Singapore through the Inter-CREATE program.

Acknowledgements

• Prof. Stephen Boyles, Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin provided the codes of the static traffic assignment model.

Indices and tables

• Index

• Module Index

• Search Page