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Journal of Flow Visualization and Image Processing

Publicado 4 números por año

ISSN Imprimir: 1065-3090

ISSN En Línea: 1940-4336

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 0.6 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00013 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.14 SJR: 0.201 SNIP: 0.313 CiteScore™:: 1.2 H-Index: 13

Indexed in

ON IDENTIFICATION OF VORTICAL STRUCTURES IN TURBULENT SHEAR FLOW

Volumen 15, Edición 3, 2008, pp. 201-216
DOI: 10.1615/JFlowVisImageProc.v15.i3.20
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SINOPSIS

In the present work, four criteria for vortex detection in turbulent flows are considered. Three of them involve the invariants of the velocity-gradient tensor and one involves the analysis of the Hessian of the pressure. The ability of the different methods in detecting vortical structures in wall-bounded flows — hairpin vortices in particular — is analyzed with the following procedure: i) the flow of a viscous incompressible fluid in a plane channel is simulated numerically with the use of a computational code for numerical integration of the Navier-Stokes equations, based on a mixed spectral-finite difference technique (the approach of the Direct Numerical Simulation is followed); ii) a turbulent-flow database, representing the turbulent statistically steady state of the velocity field through 10 viscous time units, is assembled; iii) all the vortex-identification techniques are applied to the database. It is shown that three of the methods considered give almost equivalent results in identifying hairpin-like vortical structures in the wall region of turbulent channel flow, while one of them gives slightly different results.

CITADO POR
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