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Journal of Flow Visualization and Image Processing

Published 4 issues per year

ISSN Print: 1065-3090

ISSN Online: 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

RESULTS OF NUMERICAL INTEGRATION OF THE NAVIER-STOKES EQUATIONS IN THE FIELD OF DIRECT SIMULATION OF TURBULENCE

Volume 18, Issue 2, 2011, pp. 91-135
DOI: 10.1615/JFlowVisImageProc.2011002886
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ABSTRACT

The numerical integration of the Navier−Stokes equations for the direct numerical simulation (DNS) of turbulence has become a method of great importance in the research on turbulence physics, and its relevance is constantly growing. In the present work the DNS approach to the investigation of fluid turbulence is discussed, mainly with regard to turbulent shear flows of incompressible fluids with constant properties. A body of literature is reviewed, dealing with the numerical integration of the Navier−Stokes equations, results obtained from the simulations, and appropriate use of the numerical databases for a better understanding of turbulence physics.

CITED BY
  1. Alfonsi Giancarlo, Ciliberti Stefania A., Mancini Marco, Primavera Leonardo, GPGPU implementation of mixed spectral-finite difference computational code for the numerical integration of the three-dimensional time-dependent incompressible Navier–Stokes equations, Computers & Fluids, 102, 2014. Crossref

  2. Alfonsi Giancarlo, Numerical Simulations of Wave-Induced Flow Fields around Large-Diameter Surface-Piercing Vertical Circular Cylinder, Computation, 3, 3, 2015. Crossref

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