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International Journal of Fluid Mechanics Research

Published 6 issues per year

ISSN Print: 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

On the Transient Flow Modeling by a Modified Characteristic Finite Volume Method

Volume 39, Issue 4, 2012, pp. 312-324
DOI: 10.1615/InterJFluidMechRes.v39.i4.30
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ABSTRACT

Water hammer is a rapid change of pressure caused by a sudden variation of flow velocity in a pipeline. In extreme cases the pressure gain can destroy the pipeline. The increase of pressure during water hammer depends on pressure waves celerity which depends on pipe material and liquid parameters. In this paper, explicit finite-volume method is applied to model the water hammer phenomena. For convective flux treatment the averaging, and adapted Roe schemes have been applied and compared. Boundary conditions implementation such as reservoirs, valves and pipe junctions in the schemes benefits from the similar to that of the method of characteristics. For time- discretization a fifth-order Runge−Kutta scheme was applied which resulted in a better convergence and broadened range of stability. The pressure waves are captured with good accuracy where compared to the available data. The solution procedure consists of an iteration loop along with real time integration.

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