Towards Real-Time Urban Physics Simulations with Digital Twins

• Published in: 2024 28th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) pp. 18 - 25
• Main Authors: Bonari, Jacopo, Kuhn, Lisa, von Danwitz, Max, Popp, Alexander
• Format: Conference Proceeding
• Language: English
• Published: IEEE 07.10.2024
• Subjects: Atmospheric modeling; automatic model generation; computational fluid dynamics; Computational modeling; Digital twins; Dispersion; Finite element analysis; Mathematical models; model order reduction; Numerical models; Physics; Predictive models; Real-time systems
• ISSN: 2767-8652
• DOI: 10.1109/DS-RT62209.2024.00013

Urban populations continue to grow, highlighting the critical need to safeguard civilians against potential disruptions, such as dangerous gas contaminant dispersion. The digital twin (DT) framework offers promise in analyzing and predicting such events. This study presents a computational framework for modeling airborne contaminant dispersion in built environments. Leveraging automated generation of computational domains and solution processes, the proposed framework solves the underlying physical model equations with the finite element method (FEM) for numerical solutions. Model order reduction (MOR) methods are investigated to enhance computational efficiency without compromising accuracy. The study outlines the automated mesh generation process, the details of the employed model, and the future perspectives for the realization of a DT. Throughout this research, the aim is to develop a reliable predictive model combining physics and data in a hybrid DT to provide informed real-time support within evacuation scenarios.