2024-03-28T11:05:00Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1524492018-12-03T13:05:35Zcom_10261_2855com_10261_4col_10261_2857
2017-07-06T14:56:22Z
urn:hdl:10261/152449
Lagrangian Flow Network approach to an open flow model
Ser-Giacomi, Enrico
Rodríguez-Méndez, Víctor
López, Cristóbal
Hernández-García, Emilio
Ministerio de Economía y Competitividad (España)
Agence Nationale de la Recherche (France)
Lagrangian transport
Open flows
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.
2017-07-06T14:56:22Z
2017-07-06T14:56:22Z
2017-06-21
artículo
The European Physical Journal Special Topics 226 (9): 2057-2068 (2017)
1951-6355
http://hdl.handle.net/10261/152449
10.1140/epjst/e2017-70044-2
1951-6401
http://dx.doi.org/10.13039/501100001665
http://dx.doi.org/10.13039/501100003329
eng
Preprint
http://doi.org/10.1140/epjst/e2017-70044-2
Sí
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CTM2015-66407-P
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FIS2015-63628-C2-1-R
openAccess
Springer Nature