Wavy Walls, a Passive Way to Control the Transition to Turbulence. Detailed Simulation and Physical Explanation

Autor: Andrés Mateo-Gabín, Miguel Chávez, Jesús Garicano-Mena, Eusebio Valero

Publikováno v: Energies, Vol 14, Iss 13, p 3937 (2021)

Inducing spanwise motions in the vicinity of solid boundaries alters the energy, mass and/or momentum transfer. Under some conditions, these motions are such that drag is reduced and/or transition to turbulence is delayed. There are several possibili

Externí odkaz: https://doaj.org/article/241b18a8beb7415f8c53998a721a9d8e

A novel data-driven method for the analysis and reconstruction of cardiac cine MRI

Autor: Nourelhouda Groun, María Villalba-Orero, Enrique Lara-Pezzi, Eusebio Valero, Jesús Garicano-Mena, Soledad Le Clainche

Cardiac cine magnetic resonance imaging (MRI) can be considered the optimal criterion for measuring cardiac function. This imaging technique can provide us with detailed information about cardiac structure, tissue composition and even blood flow. Thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9a2212d4679e8946fcf7700a1c01194
https://hdl.handle.net/20.500.12105/15930

Higher Order Dynamic Mode Decomposition: from Fluid Dynamics to Heart Disease Analysis

Autor: Nourelhouda Groun, María Villalba-Orero, Enrique Lara-Pezzi, Eusebio Valero, Jesús Garicano-Mena, Soledad Le Clainche

In this work, we study in detail the performance of Higher Order Dynamic Mode Decomposition (HODMD) technique when applied to echocardiography images. HODMD is a data-driven method generally used in fluid dynamics and in the analysis of complex non-l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28b1670ecca004f5126dde008c61bc3a

Feature Extraction from Turbulent Channel Flow Databases via Composite DMD Analysis

Autor: Bing-Hua Li, Jesús Garicano-Mena, Eusebio Valero

Publikováno v: Journal of Physics: Conference Series

In this contribution we consider the Dynamic Mode Decomposition (DMD) framework as a purely data-driven tool to investigate a Reτ ≍ 950 turbulent channel database. Specifically, composite-based DMD analyses are conducted, with hybrid snapshots com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34878855fc87fd08859b9ce02555bab9

On the well-posedness of the multi-dimensional Roe-Liu-Vinokur linearization for residual distribution schemes

Autor: Jesús Garicano-Mena, Gérard Degrez

Publikováno v: Journal of Computational Physics, ISSN 0021-9991, 2019, Vol. 378
Archivo Digital UPM
Universidad Politécnica de Madrid
Journal of computational physics, 378

SCOPUS: ar.j
info:eu-repo/semantics/published

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f33130a2a2290d62e530b7175e35e02
https://oa.upm.es/67010/