46 citations · 69 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…