Towards Real-Time Urban Physics Simulations with Digital Twins
arxiv(2024)
摘要
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 modelling airborne contaminant dispersion in built environments.
Leveraging automatic 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 automatic
model 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.
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