132 citations · 360 across the 36 of their papers we have counts for
10 papers · 2 filters
Drag reduction via separation control using plasma actuators on a truck cabin side
Lucas Schneeberger, Stefano Discetti, Andrea Ianiro
We investigate the drag reduction on a heavy-duty vehicle using dielectric-barrier discharge plasma actuators located on the A-pillars. An experimental campaign is carried out on a…
Latent-Space Non-Linear Model Predictive Control for Partially-Observable Systems
Luigi Marra, Onofrio Semeraro, Lionel Mathelin +2
This work presents a scalable control framework based on nonlinear Model Predictive Control for high-dimensional dynamical systems. The proposed approach addresses the key challeng…
A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake
Alberto Solera-Rico, Carlos Sanmiguel Vila, Stefano Discetti
We present a data-driven active flow control framework designed for deployment with few non-intrusive sensors. The method builds upon Artificial Intelligence driven reduced-order p…
An efficient offline sensor placement method for flow estimation
Junwei Chen, Marco Raiola, Stefano Discetti
We present an efficient method to optimize sensor placement for flow estimation using sensors with time-delay embedding in advection-dominated flows. Our solution allows identifyin…
Meshless Super-Resolution of Scattered Data via constrained RBFs and KNN-Driven Densification
Iacopo Tirelli, Miguel Alfonso Mendez, Andrea Ianiro +1
We propose a novel meshless method to achieve super resolution from scattered data obtained from sparse, randomly positioned sensors such as the particle tracers of particle tracki…
Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning
A. Cremades, R. Freibergs, S. Hoyas +3
In this work we present a framework to explain the prediction of the velocity fluctuation at a certain wall-normal distance from wall measurements with a deep-learning model. For t…
Instantaneous convective heat transfer at the wall: a depiction of turbulent boundary layer structures
Firoozeh Foroozan, Andrea Ianiro, Stefano Discetti +1
We demonstrate the ability to experimentally measure fluctuations of the convective heat transfer coefficient at the wall in a turbulent boundary layer. For this, we measure two-di…
Model-based time super-sampling of turbulent flow field sequences
Qihong Lorena Li-Hu, Patricia García-Caspueñas, Andrea Ianiro +1
We propose a novel method for model-based time super-sampling of turbulent flow fields. The key enabler is the identification of an empirical Galerkin model from the projection of…
Advection-based multiframe iterative correction for pressure estimation from velocity fields
Junwei Chen, Marco Raiola, Stefano Discetti
A novel method to improve the accuracy of pressure field estimation from time-resolved Particle Image Velocimetry data is proposed. This method generates several new time-series of…
Full-domain POD modes from PIV asynchronous patches
Iacopo Tirelli, Adrian Grille Guerra, Andrea Ianiro +3
A method is proposed to obtain full-domain spatial modes based on Proper Orthogonal Decomposition (POD) of Particle Image Velocimetry (PIV) measurements performed at different (ove…