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International Journal of Fluid Mechanics Research

Erscheint 6 Ausgaben pro Jahr

ISSN Druckformat: 2152-5102

ISSN Online: 2152-5110

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: 1.1 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 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: 0.0002 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: 0.33 SJR: 0.256 SNIP: 0.49 CiteScore™:: 2.4 H-Index: 23

Indexed in

Relationship between Probabilistic and Spatial-Time Mean Values for Turbulent Suspension Flow

Volumen 30, Ausgabe 1, 2003, 14 pages
DOI: 10.1615/InterJFluidMechRes.v30.i1.70
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ABSTRAKT

A partial differential equation relating to the probability-averaged mean value to the spatial-time-averaged one for the nonuniform stationary field of an averaged hydrodynamic quantity of turbulent suspension flow has been set up. Based on it, a method of transformation of empirical spatial-time mean values into probabilistic ones with allowance made for the influence of hydrodynamic quantity field nonuniformity as well as of the averaging volume form and size on the relative difference of the studied mean values from each other has been developed. A condition wherein the empirical spatial-time mean values practically coincide by its magnitude with probabilistic ones, and the spatial-time mean values being measured can be used for comparing results of the turbulence statistical model in this case has been found.

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