6 papers · 1 filter
Intrusive and Non-Intrusive Model Order Reduction for Airborne Contaminant Transport: Comparative Analysis and Uncertainty Quantification
Lisa Kühn, Jacopo Bonari, Max von Danwitz +1
Numerical simulations of contaminant dispersion after a gas leakage incident on a chemical plant can provide valuable insights for both emergency response and preparedness. Simulat…
Physics-Informed Sensitivity Analysis for Enhanced Structural Health Assessment: Test-Case for a Mixed Steel-Concrete Bridge
Jacopo Bonari, Francesca Marsili, Max von Danwitz +1
Bridges are vital components of transportation systems, that serve as essential links ensuring the safe and efficient movement of people, goods, and emergency responders, especiall…
High-Fidelity Numerical Modeling for the Mechanical Characterization of a Full-Scale Test Bridge
Jacopo Bonari, Max von Danwitz, Alexander Popp
Bridges are vital components of transportation networks, serving as critical lifelines that ensure the safe and efficient movement of people, goods, and emergency services. With ag…
Contaminant Dispersion Simulation in a Digital Twin Framework for Critical Infrastructure Protection
Max von Danwitz, Jacopo Bonari, Philip Franz +3
A digital twin framework for rapid predictions of atmospheric contaminant dispersion is developed to support informed decision making in emergency situations. In an offline prepara…
Towards Real-Time Urban Physics Simulations with Digital Twins
Jacopo Bonari, Lisa Kühn, Max von Danwitz +1
Urban populations continue to grow, highlighting the critical need to safeguard civilians against potential disruptions, such as dangerous gas contaminant dispersion. The digital t…
Towards a Hybrid Digital Twin: Physics-Informed Neural Networks as Surrogate Model of a Reinforced Concrete Beam
Tarik Sahin, Daniel Wolff, Max von Danwitz +1
In this study, we investigate the potential of fast-to-evaluate surrogate modeling techniques for developing a hybrid digital twin of a steel-reinforced concrete beam, serving as a…