132 citations · 360 across the 36 of their papers we have counts for
8 papers · 1 filter
Machine-learned flow estimation with sparse data -- exemplified for the rooftop of a UAV vertiport
Chang Hou, Luigi Marra, Guy Y. Cornejo Maceda +9
We propose a physics-informed data-driven framework for urban wind estimation. This framework validates and incorporates the Reynolds number independence for flows under various wo…
Measuring time-resolved heat transfer fluctuations on a heated-thin foil in a turbulent channel airflow
Antonio Cuéllar, Enrico Amico, Jacopo Serpieri +4
We present an experimental setup to perform time-resolved convective heat transfer measurements in a turbulent channel flow with air as the working fluid. We employ a heated thin f…
An assessment of event-based imaging velocimetry for efficient estimation of low-dimensional coordinates in turbulent flows
Luca Franceschelli, Christian E. Willert, Marco Raiola +1
This study explores the potential of neuromorphic Event-Based Vision (EBV) cameras for data-efficient representation of low-order model coordinates in turbulent flows. Unlike conve…
Some effects of limited wall-sensor availability on flow estimation with 3D-GANs
Antonio Cuéllar, Andrea Ianiro, Stefano Discetti
In this work we assess the impact of the limited availability of wall-embedded sensors on the full 3D estimation of the flow field in a turbulent channel with Reτ = 200. The estima…
Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements
Antonio Cuéllar, Alejandro Güemes, Andrea Ianiro +3
Different types of neural networks have been used to solve the flow sensing problem in turbulent flows, namely to estimate velocity in wall-parallel planes from wall measurements.…
A meshless method to compute the proper orthogonal decomposition and its variants from scattered data
Iacopo Tirelli, Miguel Alfonso Mendez, Andrea Ianiro +1
Complex phenomena can be better understood when broken down into a limited number of simpler "components". Linear statistical methods such as the principal component analysis and i…