OPEN SOURCE SOFTWARE AND OPEN DATA IN THE DEVELOPMENT OF SIMULATION METHODS FOR DIGITAL TWINS

Kurzfassung

This contribution highlights how open source software and open data strengthen critical infrastructure protection (CIP) by making simulation-based resilience assessments more transparent, reproducible, and interoperable, especially within digital twin frameworks. It illustrates this claim through five applications: simulating pedestrian dynamics for public-space safety; reducing and uncertainty-quantifying airborne contaminant dispersion models using the EZyRB and Queens packages; deploying hIPPYlib to optimally place sensors (including drones) for post-release evacuation planning; detecting structural damage in wind turbine blades via a convolutional neural network trained on open aerodynamic pressure data; and extending a wastewater treatment plant inflow forecasting model to also predict chemical composition.