4 papers
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
Gabriele Immordino, Andrea Vaiuso, Andrea Da Ronch +1
This study presents a framework for predicting unsteady transonic wing pressure distributions, integrating an autoencoder architecture with graph convolutional networks and graph-b…
Drone Acoustic Analysis for Predicting Psychoacoustic Annoyance via Artificial Neural Networks
Andrea Vaiuso, Marcello Righi, Oier Coretti +1
Unmanned Aerial Vehicles (UAVs) have become widely used in various fields and industrial applications thanks to their low operational cost, compact size and wide accessibility. How…
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
Andrea Vaiuso, Gabriele Immordino, Marcello Righi +1
Multi-fidelity models are becoming more prevalent in engineering, particularly in aerospace, as they combine both the computational efficiency of low-fidelity models with the high…
Subsonic Indicial Aerodynamics for Aerofoil's Unsteady Loads via Numerical and Analytical Methods
Marco Berci, Marcello Righi
This study deals with generating aerodynamic indicial-admittance functions for predicting the unsteady lift of two-dimensional aerofoils in subsonic flow, using approximate numeric…