132 citations · 360 across the 36 of their papers we have counts for
6 papers · 2 filters
The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows
Alberto Solera-Rico, Patricia García-Caspueñas, Carlos Sanmiguel Vila +1
Model-based active flow control requires predictive models that are accurate, stable, and fast enough for real-time optimisation. In controlled wake flows, this is often achieved t…
Feature-based manifold model of actuated wakes
Alicia Rodríguez-Asensio, Guy Y. Cornejo Maceda, Bernd R. Noack +2
We propose a feature-based reduced-order model to predict the transient dynamics of bluff-body wakes under arbitrary time-varying actuation. Starting point is a control-oriented PO…
Data-efficient semi-supervised learning for flow estimation using unlabelled probe data
Junwei Chen, Marco Raiola, Stefano Discetti
Estimating time-resolved velocity and pressure fields from Particle Image Velocimetry (PIV) remains challenging due to its limited temporal resolution in many applications. Data-dr…
Information decomposition for disentangled and interpretable manifold learning of fluid flows via variational autoencoders
Zhiyuan Wang, Iacopo Tirelli, Stefano Discetti +1
We introduce an information-theoretic framework that uses variational autoencoders (VAEs) to extract compact, physically interpretable manifolds from high-dimensional flow-field da…
On the turbulent wake of the actuated fluidic pinball: dynamics, bifurcations and control authority
Alicia Rodríguez-Asensio, Luigi Marra, Ignacio Andreu-Angulo +6
We present the first comprehensive experimental and numerical study featuring the turbulent wake of the fluidic pinball for a large actuation range. The fluidic pinball is a cluste…
Divide and conquer complex flows. Part I: cluster and manifold-based local analysis
Qihong L. Li-Hu, Guy Y. Cornejo Maceda, Andrea Ianiro +1
This work is a two-part study on the description and prediction of complex fluid flows through the partitioning of the flow domain. In this first part, we propose a framework for a…