Michele Alessandro Bucci

Michele Alessandro Bucci
Université Paris-Saclay · Research

Doctor of Philosophy

About

16
Publications
5,173
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145
Citations

Publications

Publications (16)
Preprint
Full-text available
Model order reduction through the POD-Galerkin method can lead to dramatic gains in terms of computational efficiency in solving physical problems. However, the applicability of the method to non linear high-dimensional dynamical systems such as the Navier-Stokes equations has been shown to be limited, producing inaccurate and sometimes unstable mo...
Preprint
Full-text available
The reliable prediction of the temporal behavior of complex systems is required in numerous scientific fields. This strong interest is however hindered by modeling issues: often, the governing equations describing the physics of the system under consideration are not accessible or, when known, their solution might require a computational time incom...
Article
Full-text available
The effect of freestream turbulence on the dynamics of an incompressible flow past a cylindrical roughness element in subcritical conditions (i.e., for Reynolds numbers below the onset of linear instability) has been investigated by the joint application of direct numerical simulations, linear modal and nonmodal stability analyses, and dynamic mode...
Article
Deep reinforcement learning (DRL) is applied to control a nonlinear, chaotic system governed by the one-dimensional Kuramoto–Sivashinsky (KS) equation. DRL uses reinforcement learning principles for the determination of optimal control solutions and deep neural networks for approximating the value function and the control policy. Recent application...
Article
Full-text available
This paper reports on joint experimental-numerical investigations of flame dynamics in a microchannel of diameter 1.85 mm. Experiments show that decreasing the diameter of the channel helps the arising of the FREI instability. Yet leaning the mixture is found to be a mean to make the flame more stable. The numerical model used is based on two- dime...
Preprint
Full-text available
Deep Reinforcement Learning (DRL) is applied to control a nonlinear, chaotic system governed by the one-dimensional Kuramoto-Sivashinsky (KS) equation. DRL uses reinforcement learning principles for the determination of optimal control solutions and deep Neural Networks for approximating the value function and the control policy. Recent application...
Article
Full-text available
Research on laminar-turbulent transition of wall-bounded parallel flows has usually focused on controlled scenarios where transition is triggered by perturbations having simple shapes and spectra. These disturbances strongly differ from the environmental noise usually present in experimental setups or industrial applications, where uncontrolled tra...
Chapter
Full-text available
With the ever increasing computational power available and the development of high-performances computing, investigating the properties of realistic very large-scale nonlinear dynamical systems has become reachable. It must be noted however that the memory capabilities of computers increase at a slower rate than their computational capabilities. Co...
Preprint
Full-text available
With the ever increasing computational power available and the development of high-performances computing, investigating the properties of realistic very large-scale nonlinear dynamical systems has been become reachable. It must be noted however that the memory capabilities of computers increase at a slower rate than their computational capabilitie...
Article
Full-text available
With the ever increasing computational power available and the development of high-performances computing, investigating the properties of realistic very large-scale nonlinear dynamical systems has been become reachable. It must be noted however that the memory capabilities of computers increase at a slower rate than their computational capabilitie...
Article
Full-text available
The onset of unsteadiness in a boundary-layer flow past a cylindrical roughness element is investigated for three flow configurations at subcritical Reynolds numbers, both experimentally and numerically. On the one hand, a quasi-periodic shedding of hairpin vortices is observed for all configurations in the experiment. On the other hand, global sta...
Thesis
Full-text available
This thesis aims at highlighting the limits of passive control by usingminiaturized roughness elements. The flow topology induced by the presence ofcylindrical roughness and miniaturized vertex generators has been studied to uncover asymptotic and short time dynamics. Supercritical bifurcations has been investigated by means of global stability ana...
Article
Full-text available
We report on the linear stability of micro-combustion in pipe, where two instabilities manifest at high and low flow-rates. The combustion of a stoichiometric methane/air premixed mixture has been numerically investigated within a 3D reduced model. This model reproduces decently the flame dynamics in the range of speed between 5–100 cm/s. The flame...

Projects

Projects (2)
Project
Taking inspiration from nature, my aim is to tackle the laminar-turbulent scenario in a canonical channel flow and determine whether or not it is possible to delay transition by means of accurately engineered superhydrophobic or liquid--infused surfaces. In particular, I'm focusing on the design of such novel surfaces and how relaxing the standard no-slip boundary condition could affect the classical path to turbulence.
Project
Stability and transition downstream of roughness elements in a flat plate boundary layer is investigated experimentally in a laminar water channel. Results help to better understand and control boundary layers with roughness.