194 citations · 450 across the 19 of their papers we have counts for
4 papers · 2 filters
Aeroacoustic airfoil shape optimization enhanced by autoencoders
Jiaqing Kou, Laura Botero-Bolívar, Román Ballano +4
We present a framework for airfoil shape optimization to reduce the trailing edge noise for the design of wind turbine blades. Far-field noise is evaluated using Amiet's theory cou…
Machine learning adaptation for laminar and turbulent flows: applications to high order discontinuous Galerkin solvers
Kenza Tlales, Kheir-Eddine Otmani, Gerasimos Ntoukas +2
We present a machine learning-based mesh refinement technique for steady and unsteady flows. The clustering technique proposed by Otmani et al. arXiv:2207.02929 [physics.flu-dyn] i…
Accelerating high order discontinuous Galerkin solvers using neural networks: 3D compressible Navier-Stokes equations
Fernando Manrique de Lara, Esteban Ferrer
We propose to accelerate a high order discontinuous Galerkin solver using neural networks. We include a corrective forcing to a low polynomial order simulation to enhance its accur…
towards a robust detection of viscous and turbulent flow regions using unsupervised machine learning
Kheir-Eddine Otmani, Gerasimos Ntoukas, Esteban Ferrer
We propose an invariant feature space for the detection of viscous dominated and turbulent regions (i.e., boundary layers and wakes). The developed methodology uses the principal i…