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PRAISys

PRAISys stands for Probabilistic Resilience Assessment of Interdependent Systems. It is a computational platform for performing the resilience analysis of interdependent systems under a given hazard scenario in a probabilistic way. It consists of five computational steps: reading input data (Step 1), damage assessment (Step 2), restoration planning (Step 3), recovery simulation (Step 4), and resilience assessment (Step 5). PRAISys implements two features with rigorous models: uncertainty quantification and interdependency modeling. Uncertainties considered are related to damage assessment (Step 2) and restoration simulation (Step 4), interdependencies considered are related to hazard (Step 1), damage (Step 2), resotration (Step 3 and Step 4), and functionality (Step 4). This platform is mainly developed in MATLAB (version R2019a or newer), with a graphical user interface. For using comprehensive features of PRAISys, Gurobi and yalmip are also required in order to properly use optimization-related modules in Step 3 and Step 4.

-- PRAISys: http://www.praisys.org

-- Gurobi: https://www.gurobi.com/

-- yalmip: https://yalmip.github.io/

PRAISys is one of many products of a collaborative project sponsored by the National Science Foundation (NSF) under grant CMMI-1541177 and grant CMMI-1541089. This collaborative project brings together a total of 55 scholars in Civil Engineering, Computer Science, Economics, Policy Making, Systems Engineering, and Urban Planning from three universities in the United States: Lehigh University, Florida Atlantic University, and Georgia Atlantic University. More details about this project can be found on the PRAISys website: http://www.praisys.org

This product can be freely used for academic use only. Please cite the following reference whenever using this product.

-- The PRAISys Team (2020). Probabilistic Resilience Assessment of Interdependent Systems. http://www.praisys.org

If you have any further questions and suggestions, please send an email to the Google Group of PRAISys at: praisys@googlegroups.com.

Thank you for your interest!

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