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Journal of Flow Visualization and Image Processing

Publication de 4  numéros par an

ISSN Imprimer: 1065-3090

ISSN En ligne: 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

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VISUALIZATION OF THE RAYLEIGH−TAYLOR INSTABILITY

Volume 12, Numéro 4, 2005, pp. 363-376
DOI: 10.1615/JFlowVisImageProc.v12.i4.30
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RÉSUMÉ

Buoyancy-driven turbulence resulting from the Rayleigh−Taylor instability occurs in an unstably stratified flow when a hearty fluid rests above a light fluid. Small perturbations at the interface between two fluids grow, developing into a turbulent mixing layer. The major difficulty in studying this phenomenon is creating the initial interface between the two fluids in the presence of an unstable density gradient. As a result, many creative approaches have been used to study buoyancy-driven turbulence and the Rayleigh−Taylor instability. The current experiment utilizes a water channel facility in the same manner as the study of shear mixing layers. Over the past several years, we have used various visualization techniques to observe the development and behavior of the Rayleigh−Taylor instability in our water channel. These techniques included fluid marking by means of Nigrosene dye, PIV-S, and finally PLIF. Each technique has unique benefits for viewing the buoyancy-driven mixing layer. Used together these techniques help provide an understanding of the nature and complexity of buoyancy-driven turbulence. This paper presents a collection of images from our water channel facility to serve as a visual record of our work over the past ten years to study the Rayleigh-Taylor instability in our statistically steady experiment.

CITÉ PAR
  1. Andrews Malcolm J., Dalziel Stuart B., Small Atwood number Rayleigh–Taylor experiments, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368, 1916, 2010. Crossref

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