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Open-source MATLAB-based computational platform for earthquake risk, loss & lifecycle analysis of building assets.

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EaRL

EaRL is an open source MATLAB-based platform/software for earthquake risk, loss and lifecycle analysis. EaRL provides an interactive and user-friendly platform for evaluating the economic consequences of natural hazards in general, and seismic hazard in particular, on building assets, in support of the performance-based earthquake engineering framework (e.g., FEMA P-58). The platform is supported by a comprehensive library for visualizing and reporting the disaggregated economic losses (repair cost, repair time, injuries, casualties, etc). Being an open-source platform, devloped in the popular MATLAB environment, EaRL paves the way for researchers and practicing engineers worldwide to collaborate and contribute to its metadata, functionalities and interactive features. This is further supported by the platform’s well-documented technical details and codebase.

--> Curent compiled installer executable: v1.0

--> Video tutorials on YouTube: https://www.youtube.com/playlist?list=PLz_XdUL-6Y_nbmyXU7Pcdg_XDwvwgGXjF

If you are a developer who plan on collaborating and contributing to EaRL codebase, you are recommended to install GitHub Desktop application and then FORK this repository to your own computer and work on it locally. PULL requests will be considered while giving credit to contributers. To fork the repository click on "FORK" at the top of this page.

--> Brief outline on forking, we suggest: https://www.atlassian.com/git/tutorials/comparing-workflows/forking-workflow

--> Full introduction to Git and GitHub, we suggest watching this playlist: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZF9C0YMKuns9sLDzK6zoiV

Citation:

Elkady, A. and Lignos, D. G. (2020). " EaRL - Software for Earthquake Risk, Loss and Lifecycle Analysis." SoftwareX: 12. DOI: 10.1016/j.softx.2020.100607.

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Open-source MATLAB-based computational platform for earthquake risk, loss & lifecycle analysis of building assets.

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  • MATLAB 96.7%
  • Tcl 3.3%