Regional Resilience Determination (R2D) Tool (Version 4.0)

 

The Regional Resilience Determination Tool (R2D) is a graphical user interface for the SimCenter application framework designed to simulate the regional impact of hurricanes and earthquakes. R2D advances the capabilities of the natural hazards engineering community by facilitating the high-resolution assessment of disaster impact and risk on a regional scale. Researchers can investigate disaster scenarios or perform a probabilistic assessment by considering a diverse set of plausible events and propagate the uncertainty in the hazard and the characteristics of the built environment through the simulations.

The user interface of the R2D Tool facilitates importing and querying input data that describes the regional hazard and the built environment and helps researchers with setting up and running the simulations either on their local computer or at the HPC clusters available at DesignSafe. Once the simulations are completed, the main results are visualized in the tool and detailed results are also available for post processing.

Be sure to update to this new version as older versions will not run at DesignSafe due to changes in the backend.

Several examples are provided to demonstrate the application's versatility when it comes to assembling simulation workflows of various levels of complexity:

  • E1 - Basic HAZUS
  • E2 - MDOF Building Response
  • E3 - Physics-based Ground Motions
  • E4 - OpenSeesPy FEM
  • E5 - Ground Shaking + Liquefaction
  • E7 - Hurricane Wind + Water
  • E8 - Hurricane Wind
  • E9 - Tsunami
  • E10 - Site Response Analysis
  • E12 - Istanbul Regional Seismic Risk Analysis
  • E14 - Basic HAZUS Transportaton Infrastructure

See the Tool's Documentation for details on these examples.

R2D is built on the SimCenter's Application Framework, which presents opportunities for community development and contributions to enhance simulation capabilities and tackle complex scientific questions in natural hazards research. To help expand the workflow capabilities with your contributions, contact NHERI-SimCenter@berkeley.edu or join the Forum conversation.

Read the R2D Application Summary (V4.0.0)


Examples:


New features in R2D: Seismic Hazard Tool
and New Infrastructure Types
Jinyan Zhao, UC Berkeley, February 9, 2024

Regional Assessment Analysis with User-Provided Fragility Functions in R2D Stevan Gavrilovic, UC Berkeley, March 18, 2022

Regional Resilience Analysis with GIS Stevan Gavrilovic, UC Berkeley December 3, 2021

R2D Highlights: An introduction to the Regional Resilience Determination Tool developed at the NHERI SimCenter

Introduction to R2D: This video includes an overview of the R2D analysis framework, the GUI, run examples and results analysis


R2D Tool Training Workshop: Feb 11, 2022: This training session will help social scientists and recovery modelers understand the basics of simulating consequences of natural hazards on the built environment with the SimCenter’s Regional Resilience Determination Tool (R2D)


R2D Tool Training Workshop: May 21, 2021: An overview of the hurricane wind field simulation capabilities introduced in version 1.1 of the R2D tool


R2D Tool Training Workshop: May 21, 2021: An overview of the R2D tool: installation and setup, settings and inputs, hazard simulation, running analysis, results and post-processing and demonstration

Join the User Forum Conversation:

  • submit questions and get answers
  • provide user feedback
  • post feature requests
  • submit bug reports

Tool Training Workshop: Feb 11, 2022


Software Insights:

Current Capabilities

Recent Updates

Future Plans

How to cite:

Frank McKenna, Stevan Gavrilovic, Zsarnoczay, A., Zhao, J., Zhong, K., Barbaros Cetiner, Yi, S., Elhaddad, W., & Arduino, P. (2024). NHERI-SimCenter/R2DTool: Version 4.0.0 (v4.0.0). Zenodo. https://doi.org/10.5281/zenodo.10448043

Deierlein, G.G., McKenna, F., et al. (2020). A Cloud-Enabled Application Framework for Simulating Regional-Scale Impacts of Natural Hazards on the Built Environment. Frontiers in Built Environment. 6, 196. doi: 10.3389/fbuil.2020.558706.