1 citations · 1 across the 4 of their papers we have counts for
6 papers
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…
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…
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…
A computational framework for evaluating tire-asphalt hysteretic friction including pavement roughness
Ivana Ban, Jacopo Bonari, Marco Paggi
Pavement surface textures obtained by a photogrammetry-based method for data acquisition and analysis are employed to investigate if related roughness descriptors are comparable to…
Sequential drone routing for data assimilation on a 2D airborne contaminant dispersion problem
Daniele Giovanni Gioia, Jacopo Bonari, Daniel Lichte +1
The combined use of data from different sources can be critical in emergencies, where accurate models are needed to make real-time decisions, but high-fidelity representations and…
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…