Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Mateo-Gabín, A."'
We explore the unsupervised clustering technique introduced in [25] to identify viscous/turbulent from inviscid regions in incompressible flows. The separation of regions allows solving the Navier-Stokes equations including Large Eddy Simulation clos
Externí odkaz:
http://arxiv.org/abs/2403.05463
We present a novel unsupervised machine-learning sock sensor based on Gaussian Mixture Models (GMMs). The proposed GMM sensor demonstrates remarkable accuracy in detecting shocks and is robust across diverse test cases with significantly less paramet
Externí odkaz:
http://arxiv.org/abs/2308.00086
Publikováno v:
J. Comput. Phys., 489 (2023), Article 112298
In this work, we propose an extension of telescopic derivative operators for the DGSEM with Gauss nodes, and we prove that this formulation is equivalent to its usual matrix counterpart. Among other possible applications, this allows extending the st
Externí odkaz:
http://arxiv.org/abs/2211.05066
Autor:
Ferrer, E., Rubio, G., Ntoukas, G., Laskowski, W., Mariño, O. A., Colombo, S., Mateo-Gabín, A., de Lara, F. Manrique, Huergo, D., Manzanero, J., Rueda-Ramírez, A. M., Kopriva, D. A., Valero, E.
We present the latest developments of our High-Order Spectral Element Solver (HORSES3D), an open source high-order discontinuous Galerkin framework, capable of solving a variety of flow applications, including compressible flows (with or without shoc
Externí odkaz:
http://arxiv.org/abs/2206.09733
We present a stable spectral vanishing viscosity for discontinuous Galerkin schemes, with applications to turbulent and supersonic flows. The idea behind the SVV is to spatially filter the dissipative fluxes, such that it concentrates in higher waven
Externí odkaz:
http://arxiv.org/abs/2109.06653
Autor:
Ferrer, E., Rubio, G., Ntoukas, G., Laskowski, W., Mariño, O.A., Colombo, S., Mateo-Gabín, A., Marbona, H., Manrique de Lara, F., Huergo, D., Manzanero, J., Rueda-Ramírez, A.M., Kopriva, D.A., Valero, E.
Publikováno v:
In Computer Physics Communications June 2023 287
Publikováno v:
In Journal of Computational Physics 15 December 2022 471
Akademický článek
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Akademický článek
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Autor:
Andrea Cassinelli, Andrés Mateo Gabín, Francesco Montomoli, Paolo Adami, Raul Vázquez Díaz, Spencer J. Sherwin
Publikováno v:
International Journal of Turbomachinery, Propulsion and Power, Vol 7, Iss 1, p 8 (2022)
Reynolds-Averaged Navier–Stokes (RANS) methods continue to be the backbone of CFD-based design; however, the recent development of high-order unstructured solvers and meshing algorithms, combined with the lowering cost of HPC infrastructures, has t
Externí odkaz:
https://doaj.org/article/2c3b56f8175540a3b9a338155569926f