activity
20242026
collaborators

10 papers

cs.CE2026

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…

cs.CE2026

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…

cs.CE2026

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…

math.NA2026

Rapid Identification of Moving Contaminant Sources Through Physics-Based Modelling

Marco Mattuschka, Jacopo Bonari, Max von Danwitz +1

In an act of sabotage or terrorism, hazardous material might be released deliberately into the atmosphere to threaten individuals, e.g., those operating critical infrastructure. Ha…

cs.CE2025

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems

Tarik Sahin, Jacopo Bonari, Sebastian Brandstaeter +1

The effective contact area in rough surface contact plays a critical role in multi-physics phenomena such as wear, sealing, and thermal or electrical conduction. Although accurate…

cs.CE2025

Solving adhesive rough contact problems with Atomic Force Microscope data

Maria Rosaria Marulli, Jacopo Bonari, Pasqualantonio Pingue +1

This study presents an advanced numerical framework that integrates experimentally acquired Atomic Force Microscope (AFM) data into high-fidelity simulations for adhesive rough con…