Skip to main content

A short description of your project

Project description

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

  • warnings
  • numpy
  • pandas
  • matplotlib
  • scipy
  • folium
  • collections
  • typing

Version Reslease

  • v 0.0.1 : July, 2024 The current version is a ongoing research project, which is still a pre-release.

Authors

Funding Statement

  • This tool development is partly supported by the Coalition for Disaster Resilient Infrastructure (CDRI) fellowship 2023-24 Cohort under the Project titled "Community Disaster Resilience Assessment by Integrating Functionality of Buildings and Critical Infrastructure Systems". The development of this tool is not necessarily expressed the view of the CDRI.

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bogs-0.1.8.tar.gz (16.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

bogs-0.1.8-py3-none-any.whl (19.6 kB view details)

Uploaded Python 3

File details

Details for the file bogs-0.1.8.tar.gz.

File metadata

  • Download URL: bogs-0.1.8.tar.gz
  • Upload date:
  • Size: 16.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.13.1

File hashes

Hashes for bogs-0.1.8.tar.gz
Algorithm Hash digest
SHA256 ea158d0f71629ae342b7ca3bb3e482b2f95335ab1f6f6016ae96a122b79b52dc
MD5 b5197dc1199ce173395e043a12f0b889
BLAKE2b-256 7c392f675cbfa8370996550437265da5c7b77906f92a63fb9c2f9997a5500840

See more details on using hashes here.

File details

Details for the file bogs-0.1.8-py3-none-any.whl.

File metadata

  • Download URL: bogs-0.1.8-py3-none-any.whl
  • Upload date:
  • Size: 19.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.13.1

File hashes

Hashes for bogs-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 36581e17867a1cc18f844cbc5de793fa39700eeb3537c0d88cdf1b3fe11a64fd
MD5 b4a7d0e680cb80c99ceed1642c9d33e8
BLAKE2b-256 eb74821a73795954f1ff427ba9a2721ab7cea87ac004a4021dba8c7c06a014e0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page