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Turbulence and Data Analytics in the Twenty-First Century: The Round Free Jet

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Whither Turbulence and Big Data in the 21st Century?

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Abstract

This paper focusses on recent developments in extending our theoretical understanding of round turbulent jets. It addresses equilibrium similarity and the scale-by-scale energy budget associated with the near to intermediate field of a round jet 10 ≤ x∕D ≤ 25. Hot wire data are provided for a jet with and without passive control, the latter being introduced through the positioning of a ring in the jet shear layer. The structure functions at x∕D = 15 for the controlled and uncontrolled flow are compared, which indicate differences in the advection term over all scale separations, while the diffusion and production terms display differences at scale separations greater than about 20λ (the Taylor microscale). The paper also discusses Big Data in turbulence, drawing attention to current efforts to serve up data particularly from numerical simulation databases, while also introducing the need for a ‘reputational’ economy and the role that the library systems in the world are playing in this effort. Finally, some aspects of high performance computing, high bandwidth networks and funding agency demands for storage and access to raw data (data analytics) generated during a project are introduced and the reader is provided with links to current activities.

Data analytics (DA) is the science of examining raw data with the purpose of enabling conclusions to be drawn about that information.

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Notes

  1. 1.

    At the time of writing (July/August 2015) the USA has just announced a National Strategic Computing Initiative to broadly invest in and deploy exascale computing, that would include turbulence simulations at a variety of scales, i.e. combustion simulations, aircraft design and atmospheric/climate change.

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Acknowledgements

This work forms part of HS Ph.D. thesis. The Big Data sections draw upon one of us (AP) who has long term interest in establishing HPC (see, e.g., HPCVL.org, which he was the original P.I.) and sharing of data from both simulations and experiments. Funding from NSERC, Queen’s University and the University of Toronto is gratefully acknowledged.

Author information

Authors and Affiliations

  1. Institute for Aerospace Studies, University of Toronto, Toronto, ON, Canada

    P. Lavoie & H. Sadeghi

  2. Department of Mechanical and Materials Engineering, Queen’s University at Kingston, Kingston, ON, Canada

    A. Pollard & H. Sadeghi

Authors
  1. P. Lavoie
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  2. A. Pollard
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  3. H. Sadeghi
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Corresponding author

Correspondence to P. Lavoie .

Editor information

Editors and Affiliations

  1. Department of Mechanical and Materials Engineering, Queen’s University, Kingston, Ontario, Canada

    Andrew Pollard

  2. Department of Mechanical Engineering, Texas Tech University, Lubbock, Texas, USA

    Luciano Castillo

  3. Department of Mechanical Engineering, University of Rouen, Mont-Saint-Aignan, France

    Luminita Danaila

  4. College of Engineering and Computer Science, Syracuse University, Syracuse, New York, USA

    Mark Glauser

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Lavoie, P., Pollard, A., Sadeghi, H. (2017). Turbulence and Data Analytics in the Twenty-First Century: The Round Free Jet. In: Pollard, A., Castillo, L., Danaila, L., Glauser, M. (eds) Whither Turbulence and Big Data in the 21st Century?. Springer, Cham. https://doi.org/10.1007/978-3-319-41217-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-41217-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41215-3

  • Online ISBN: 978-3-319-41217-7

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