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Introduction
IN-CORE Account
Getting Started
pyIncore
Quick Reference
Prerequisites
Installation
pyIncore Upgrade Guide
Testing and Running
Analyses
Bridge damage
Building Cluster Recovery
Building damage
Building functionality
Building Economic Loss
Building Nonstructural Damage
Buyout Decision
Building structural damage
Capital shocks
Combined wind, wave, surge building damage
Combined wind, wave, surge building loss
Commercial building recovery
Cumulative building damage
Electric power facility damage
Electric power facility repair cost
Electric power facility restoration
EPN functionality analysis
Equity Metric
Galveston Computable General Equilibrium (CGE)
Gas facility damage
Household-level housing sequential recovery
Housing recovery
Housing unit allocation
Interdependent Network Design Problem (INDP)
Joplin Computable General Equilibrium (CGE)
Mean damage
Monte Carlo Limit State Probability
Machine Learning Enabled Computable General Equilibrium (CGE) - Joplin
Machine Learning Enabled Computable General Equilibrium (CGE) - Salt Lake City
Multi-objective retrofit optimization model
Network cascading interdependency functionality
Pipeline damage
Pipeline damage with repair rate
Pipeline functionality analysis
Water pipeline repair cost
Pipeline restoration
Population dislocation
Residential building recovery
Road damage
Salt Lake City Computable General Equilibrium (CGE)
Seaside Computable General Equilibrium (CGE)
Social vulnerability
Social vulnerability Score
Tornado electric power network (EPN) damage
Traffic flow recovery
Transportation recovery
Water facility damage
Water network functionality
Water facility repair cost
Water facility restoration
pyIncore viz
pyIncore data
IN-CORE Lab
IN-CORE Web Tools
Tutorials and Tips
Create and Use Dataset Object
Create DFR3 and Mapping Objects
Create Earthquakes
Create Tornadoes
An example of Joplin tornado scenario analysis with Joplin retrofit plan
Create Network Dataset
Create Local Hazards
Frequently asked questions
IN-CORE workshops
Workshop May 26, 2021
Session 2: working with Hazards (Tornado and Earthquake)
Session 2: Assignment
Session 2: Assignment Answer
Session 3: Damage analysis (buildings and electric power facilities)
Session 3: Assignment
Session 3: Assignment
Session 4: Visualization of outputs
Session 4: Assignment
Session 4: Assignment explanation and answers
Lifeline workshop January 31, 2022
Session 1: Introduction to Jupyter Notebook
Session 2: Working with Hazards (Tornado and Earthquake)
Session 3: Building Damage Analysis
Session 4: Damage Analyses on Lifelines
INSPIRE workshop November 15, 2023
Session 1: Introduction to Jupyter Notebook
Session 2: How to Work with Remote and Local Hazards
Session 2: Assignment
Session 2: Assignment Answers
Session 3: Building Damage and Recovery Analyses with IN-CORE Web Services
Session 4: Building Damage and Recovery Analyses with Local Data
Example Notebooks
Galveston Testbed
Joplin Tornado Example
Lumberton Testbed
Seaside Example Notebook 1: Multi-Hazard Building Damage
MMSA: Seismic Functionality Analysis for Interdependent Buildings-Water-Power using Fragility and Repair Rate Curves
MMSA: Seismic Functionality and Restoration Analysis for Interdependent Buildings-Water-Power using Restoration Curves
Other Examples
Technical References
Useful links
Contact Information
Acknowledgement
IN-CORE Terms of Service
Index