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International Journal of Fluid Mechanics Research

Publicado 6 números por año

ISSN Imprimir: 2152-5102

ISSN En Línea: 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

Direct Simulation of Low-Reynolds Number Supersonic Wall-Shear Layers I: Mean Flow and One-Point Correlations

Volumen 26, Edición 1, 1999, pp. 1-16
DOI: 10.1615/InterJFluidMechRes.v26.i1.10
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SINOPSIS

In the present work, a high-speed, wall-shear layer flow in the low-Reynolds-number regime is investigated using the Direct Numerical Simulation (DNS) approach. For this purpose, the three-dimensional, time-dependent, compressible Navier-Stokes equations are numerically integrated by high-order finite-difference methods; no modeling for turbulence is used because the available resolution is sufficient to capture the relevant scales at this Reynolds number. The DNS approach provides a viable means to probe the physics of low-Reynolds number incipient turbulence in compressible flows especially in the near-wall region where measuring difficulties prohibit a detailed experimental description of the flow.
In this paper, the mean flow, root-mean-square, and Fourier power spectrum distributions are presented and parameters that govern the dynamical and computational aspects of the problem are discussed. The analyses of the higher order turbulence statistics such as Reynolds stress budgets and two-point correlations are presented in a companion paper.

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