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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

Chaotic Small-Scale Velocity Fields as Prospective Models for Unresolved Turbulence in an Additive Decomposition of the Navier-Stokes Equations

Volume 26, Issue 5-6, 1999, pp. 539-567
DOI: 10.1615/InterJFluidMechRes.v26.i5-6.20
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ABSTRACT

A novel approach to turbulence modeling, based on unaveraged governing equations and direct modeling of small-scale fluctuating quantities via discrete nonlinear dynamical systems (chaotic algebraic maps), is presented and compared (structurally) with widely-used turbulence modeling and simulation methods. It is shown that this new approach, termed additive turbulent decomposition (ATD), is similar to large-eddy simulation in some respects, but yet is distinctly different in that ATD employs filtering of computed solutions (a straightforward signal-processing problem) rather than complicated filtering of governing equations. This obviates the need to model Reynolds stresses (they no longer occur in the equations); instead, subgrid-scale primitive variables, e.g., fluctuating velocity components, can be modeled directly, thus providing a much closer link to physical laboratory experiments. The requirements that must be imposed to construct such models are thoroughly discussed, and a specific realization of this modeling approach is derived in detail.

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  1. McDonough J.M., Yang Tianliang, Sheetz M., Parallelization of a Modern CFD Incompressible Turbulent Flow Code, in Parallel Computational Fluid Dynamics 2003, 2004. Crossref

  2. McDonough J.M., Yang T., Parallelization of a Chaotic Dynamical Systems Analysis Procedure, in Parallel Computational Fluid Dynamics 2001, 2002. Crossref

  3. McDonough J.M., Parallel simulation of turbulent flow in a 3-D lid-driven cavity, in Parallel Computational Fluid Dynamics 2006, 2007. Crossref

  4. Domaradzki J. A., Yee P. P., The subgrid-scale estimation model for high Reynolds number turbulence, Physics of Fluids, 12, 1, 2000. Crossref

  5. Yang T., McDonough J.M., Jacob J.D., Parallelization of a Genetic Algorithm for Curve Fitting Chaotic Dynamical Systems, in Parallel Computational Fluid Dynamics 2002, 2003. Crossref

  6. John Volker, Kaya Songul, A Finite Element Variational Multiscale Method for the Navier--Stokes Equations, SIAM Journal on Scientific Computing, 26, 5, 2005. Crossref

  7. Kemenov K.A., Menon S., Explicit small-scale velocity simulation for high-Re turbulent flows, Journal of Computational Physics, 220, 1, 2006. Crossref

  8. McDonough J.M., Discrete dynamical system models of turbulence-chemical kinetics interactions, IECEC '02. 2002 37th Intersociety Energy Conversion Engineering Conference, 2002., 2004. Crossref

  9. Domaradzki J. A., Large eddy simulations without explicit eddy viscosity models, International Journal of Computational Fluid Dynamics, 24, 10, 2010. Crossref

  10. Zheng Haibiao, Hou Yanren, Shi Feng, Song Lina, A finite element variational multiscale method for incompressible flows based on two local gauss integrations, Journal of Computational Physics, 228, 16, 2009. Crossref

  11. Domaradzki J A, Adams N A, Direct modelling of subgrid scales of turbulence in large eddy simulations, Journal of Turbulence, 3, 2002. Crossref

  12. Zheng Haibiao, Yu Jiaping, Li Kaitai, Shi Feng, A variational multiscale method with bubble stabilization for the Oseen problem based on two local Gauss integrations, Applied Mathematics and Computation, 219, 8, 2012. Crossref

  13. Yu Jiaping, Zheng Haibiao, Shi Feng, A finite element variational multiscale method for incompressible flows based on the construction of the projection basis functions, International Journal for Numerical Methods in Fluids, 70, 6, 2012. Crossref

  14. Yang Tianliang, McDonough J. M., Jacob J. D., Two-Dimensional "Poor Man's Navier-Stokes Equation" Model of Turbulent Flows, AIAA Journal, 41, 9, 2003. Crossref

  15. Roclawski Harald, Jacob Jamey, Yang Tiangliang, McDonough James, Experimental and computational investigation of flow in gas turbine blade cooling passages, 15th AIAA Computational Fluid Dynamics Conference, 2001. Crossref

  16. Kemenov K., Menon S., TLS - A new two level simulation methodology for high-Reynolds LES, 40th AIAA Aerospace Sciences Meeting & Exhibit, 2002. Crossref

  17. STRODTBECK J. P., McDONOUGH J. M., HISLOP P. D., CHARACTERIZATION OF THE DYNAMICAL BEHAVIOR OF THE COMPRESSIBLE "POOR MAN'S NAVIER–STOKES EQUATIONS", International Journal of Bifurcation and Chaos, 22, 01, 2012. Crossref

  18. McDonough J. M., Bible S. A., Scoville J., Response to strain rate in a discrete dynamical system model of the high-wavenumber Navier-Stokes equations, Journal of Turbulence, 4, 2003. Crossref

  19. Domaradzki J. A. , Radhakrishnan S. , Subgrid-Scale Modeling of Turbulent Convection Using Truncated Navier-Stokes Dynamics , Journal of Fluids Engineering, 124, 4, 2002. Crossref

  20. Domaradzki J. A., Loh K. C., Yee P. P., Large Eddy Simulations Using the Subgrid-Scale Estimation Model and Truncated Navier-Stokes Dynamics, in Direct and Large-Eddy Simulation IV, 8, 2001. Crossref

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