Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/152449
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Lagrangian Flow Network approach to an open flow model |
Autor: | Ser-Giacomi, Enrico CSIC ORCID; Rodríguez-Méndez, Víctor CSIC; López, Cristóbal CSIC ORCID ; Hernández-García, Emilio CSIC ORCID | Palabras clave: | Lagrangian transport Open flows |
Fecha de publicación: | 21-jun-2017 | Editor: | Springer Nature | Citación: | The European Physical Journal Special Topics 226 (9): 2057-2068 (2017) | Resumen: | Concepts and tools from network theory, the so-called Lagrangian Flow Network framework, have been successfully used to obtain a coarse-grained description of transport by closed fluid flows. Here we explore the application of this methodology to open chaotic flows, and check it with numerical results for a model open flow, namely a jet with a localized wave perturbation. We find that network nodes with high values of out-degree and of finite-time entropy in the forward-in-time direction identify the location of the chaotic saddle and its stable manifold, whereas nodes with high in-degree and backwards finite-time entropy highlight the location of the saddle and its unstable manifold. The cyclic clustering coefficient, associated to the presence of periodic orbits, takes non-vanishing values at the location of the saddle itself. | Versión del editor: | http://doi.org/10.1140/epjst/e2017-70044-2 | URI: | http://hdl.handle.net/10261/152449 | DOI: | 10.1140/epjst/e2017-70044-2 | ISSN: | 1951-6355 | E-ISSN: | 1951-6401 |
Aparece en las colecciones: | (IFISC) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
LFN.pdf | Full text | 2,88 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
11
checked on 01-may-2024
WEB OF SCIENCETM
Citations
12
checked on 27-feb-2024
Page view(s)
264
checked on 12-may-2024
Download(s)
224
checked on 12-may-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.