TCRA

Tropical Cyclone Risk Analysis [TCRA] The documentation of this tool is published here: TCRA documentation

Overview

Tropical Cyclone Risk Analysis (TCRA) is a Python package that allows for the development of scenario-based tropical cyclone risk analysis of buildings and Electrical Power Network (EPN). This tool performs scenario-hazard analysis based on historical or simulated cyclone tracks, fragility-based damage analysis, damage ratio analysis, loss estimation, recovery simulation of damaged structures, and social impact assessments on the community. It also enables decision-makers to make rehabilitation decisions and perform rehabilitation scenario analysis.

Dependency

Version Reslease

Authors

Funding Statement

Project Team

  1. Principal Investigator: Ram Krishna Mazumder, Asset Management Consultant, Arcadis U.S. Inc.
  2. Co-Principal Investigator: Subhrajit Dutta, Assistant Professor, Department of Civil Engineering, National Institute of Technology Silchar, Assam, India
  3. Co-Principal Investigator: Sohel Rana, Research Lecturer, Institute of Earthquake Engineering Research, Chittagong University of Engineering & Technology, Bangladesh.
  4. Research Assistant: Swaranjit Roy, IEER, Chittagong University of Engineering & Technology, Bangladesh.
  5. Research Assistant: Sahil Chettri, Department of Civil Engineering, NIT Silchar, Assam, India

Citing TCRA

Source Files

Github: https://github.com/rxm562/TCRA.git Documentation: https://tcra.readthedocs.io

License

The project is licensed under the MIT license. See the LICENSE file