A SIMULATION FRAMEWORK FOR CONTROLLED CRITICAL INFRASTRUCTURES SUBJECT TO NATURAL DISASTERS
Amir Mohammed1*, Craig J. Ramlal2, Arvind Singh3, Sean Rocke4 and Daniel Goitia5
Faculty of Engineering, The University of the West Indies, Trinidad
1Email: amirmohammed45@gmail.com *(Corresponding author)
2Email: Craig.Ramlal@sta.uwi.edu
3Email: Arvind.Singh@sta.uwi.edu
4Email: Sean.Rocke@sta.uwi.edu
5Email: Daniel.Goitia@sta.uwi.edu
Abstract:
Natural disasters are inherently unpredictable and can cause major damage to critical infrastructures in cities and loss of life. In this study, a simulation and control framework was developed for evaluating response decisions for natural disaster scenarios with the objective of minimizing the casualties generated from within the simulation. The package was developed in MATLAB Simulink using the infrastructure interdependencies simulator (I2Sim) with a test system of six small residences, one large residence, two health centres, one large hospital, three water pumps of varying capacities and one energy production cell. The research focused on the development of heuristic controllers to evaluate the best possible outcome given the disaster scenario simulated to affect critical infrastructure. Response decisions were generated for 625 unique scenarios, this information once grouped, can be used to inform response policies after natural disasters.
Keywords: Disaster Management, Heuristic Control, Natural Disasters, Response Policy, I2Sim.
https://doi.org/10.47412/FZEP7016
