3 citations · 7 across the 7 of their papers we have counts for
7 papers
Large-scale streak instabilities of transitional channel flow
Nicola Ciola, Yohann Duguet, Jean-Christophe Robinet +2
The emergence of large-scale spatial modulations of turbulent channel flow, as the Reynolds number is decreased, is addressed numerically using the framework of linear stability an…
Bayesian inference of physics-based models of acoustically-forced laminar premixed conical flames
Alessandro Giannotta, Matthew Yoko, Stefania Cherubini +2
We perform twenty experiments on an acoustically-forced laminar premixed Bunsen flame and assimilate high-speed footage of the natural emission into a physics-based model containin…
Active learning of data-assimilation closures using Graph Neural Networks
Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini +1
The spread of machine learning techniques coupled with the availability of high-quality experimental and numerical data has significantly advanced numerous applications in fluid me…
Turbulent transition in a channel with superhydrophobic walls: the effect of roughness anisotropy
Antoine Jouin, Stefania Cherubini, Jean-Christophe Robinet
Superhydrophobic surfaces dramatically reduce skin friction of overlying liquid flows. These surfaces are complex and numerical simulations usually rely on models for reducing this…
Collective secondary instabilities: an application to three-dimensional boundary-layer flow
Antoine Jouin, Stefania Cherubini, Jean-Christophe Robinet
In some linearly unstable flows, secondary instability is found to have a much larger wavelength than that of the primary unstable modes, so that it cannot be recovered with a clas…
Minimal seeds for turbulent bands
E. Parente, J-Ch. Robinet, P. De Palma +1
In this work, nonlinear variational optimization is used for obtaining minimal seeds for the formation of turbulent bands in channel flow. Using nonlinear optimization together wit…
Time-stepping and Krylov methods for large-scale instability problems
Jean-Christophe Loiseau, Michele Alessandro Bucci, Stefania Cherubini +1
With the ever increasing computational power available and the development of high-performances computing, investigating the properties of realistic very large-scale nonlinear dyna…