159 citations · 509 across the 24 of their papers we have counts for
16 papers · 1 filter
Experimental analysis of heat and mass transfer in non-isothermal sloshing using a model-based inverse method
Pedro Marques, Alessia Simonini, Laura Peveroni +1
Nonisothermal liquid sloshing in partially filled reservoirs can significantly enhance heat and mass transfer between liquid and ullage gasses. This can result in large temperature…
A Robust Data-Driven Model for Flapping Aerodynamics under different hovering kinematics
Andre Calado, Romain Poletti, Lilla K. Koloszar +1
Flapping Wing Micro Air Vehicles (FWMAV) are highly manoeuvrable, bio-inspired drones that can assist in surveys and rescue missions. Flapping wings generate various unsteady lift…
The GA-cal software for the automatic calibration of soil constitutive laws: a tutorial and a user manual
Francisco J. Mendez, Miguel A. Mendez, Antonio Pasculli
The calibration of an advanced constitutive law for soil is a challenging task. This work describes GA-cal, a Fortran software for automatically calibrating constitutive laws using…
Generalized and Multiscale Modal Analysis
Miguel A. Mendez
This chapter describes modal decompositions in the framework of matrix factorizations. We highlight the differences between classic space-time decompositions and 2D discrete transf…
Continuous and Discrete LTI Systems
Miguel A. Mendez
This chapter reviews the fundamentals of continuous and discrete Linear Time-Invariant (LTI) systems with Single Input-Single Output (SISO). We start from the general notions of si…
A 1D Model for the Unsteady Gas Dynamics of Ejectors
Jan Van den Berghe, Bruno R. B. Dias, Yann Bartosiewicz +1
We propose a 1D unsteady model for supersonic single-phase ejectors. The model treats an ejector as a pipe network with two inputs and one output and combines a 1D gas dynamics for…
Linear and Nonlinear Dimensionality Reduction from Fluid Mechanics to Machine Learning
Miguel A. Mendez
Dimensionality reduction is the essence of many data processing problems, including filtering, data compression, reduced-order modeling and pattern analysis. While traditionally ta…
Data-driven modeling of hypersonic reentry flow with heat and mass transfer
Leonidas Gkimisis, Bruno Ricardo Barros Dias, James B. Scoggins +3
The entry phase constitutes a design driver for aerospace systems that include such a critical step. This phase is characterized by hypersonic flows encompassing multiscale phenome…
A RANS approach to the Meshless Computation of Pressure Fields From Image Velocimetry
Pietro Sperotto, Sandra Pieraccini, Miguel A. Mendez
We propose a 3D meshless method to compute mean pressure fields in turbulent flows from image velocimetry. The method is an extension of the constrained Radial Basis Function (RBF)…
Evolution of waves in liquid films on moving substrates
Tsvetelina Ivanova, Fabio Pino, Benoit Scheid +1
Accurate and computationally accessible models of liquid film flows allow for optimizing coating processes such as hot-dip galvanization and vertical slot-die coating. This paper e…
Analysis of an unsteady quasi-capillary channel flow with Time Resolved PIV and RBF-based super resolution
Manuel Ratz, Domenico Fiorini, Alessia Simonini +2
We investigate the behaviour of accelerating contact lines in an unsteady quasi-capillary channel flow. The configuration consists of a liquid column that moves along a vertical 2D…
Challenges and Opportunities for Machine Learning in Fluid Mechanics
M. A. Mendez, J. Dominique, M. Fiore +3
Big data and machine learning are driving comprehensive economic and social transformations and are rapidly re-shaping the toolbox and the methodologies of applied scientists. Mach…
Comparative analysis of machine learning methods for active flow control
Fabio Pino, Lorenzo Schena, Jean Rabault +1
Machine learning frameworks such as Genetic Programming (GP) and Reinforcement Learning (RL) are gaining popularity in flow control. This work presents a comparative analysis of th…
Physics-constrained machine learning for thermal turbulence modelling at low Prandtl numbers
Matilde Fiore, Lilla Koloszar, Miguel Alfonso Mendez +2
Liquid metals play a central role in new generation liquid metal cooled nuclear reactors, for which numerical investigations require the use of appropriate thermal turbulence model…
Statistical Treatment, Fourier and Modal Decomposition
Miguel Alfonso Mendez
These are lecture notes for the lecture "Statistical Treatment, Fourier and Modal Decompositions", given at the VKI Lecture series "Fundamentals and Recent Advances in Particle Ima…
Artificial Neural Networks Modelling of Wall Pressure Spectra Beneath Turbulent Boundary Layers
J. Dominique, J. Van den Berghe, C. Schram +1
We analyse and compare various empirical models of wall pressure spectra beneath turbulent boundary layers and propose an alternative machine learning approach using Artificial Neu…