Whither Turbulence and Big Data in the 21st Century?

  • Andrew Pollard
  • Luciano Castillo
  • Luminita Danaila
  • Mark Glauser

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Historical Perspectives

    1. Front Matter
      Pages 1-1
    2. William K. George
      Pages 13-43
  3. Turbulent Boundary Layers

    1. Front Matter
      Pages 45-45
    2. I. Marusic, K. A. Chauhan, V. Kulandaivelu, N. Hutchins
      Pages 47-60
    3. J. Soria, V. Kitsios, C. Atkinson, J. A. Sillero, G. Borrell, A. G. Gungar et al.
      Pages 61-75
    4. Ali Doosttalab, Suranga Dharmarathne, Murat Tutkun, Ronald Adrian, Luciano Castillo
      Pages 77-92
    5. M. F. Shahab, G. Lehnasch, T. B. Gatski
      Pages 93-115
  4. Jets

    1. Front Matter
      Pages 117-117
    2. C. E. Tinney, A. Canchero, R. Rojo, G. Mack, N. E. Murray, J. H. Ruf
      Pages 133-145
    3. L. Voivenel, E. Varea, L. Danaila, B. Renou, M. Cazalens
      Pages 147-162
    4. A. Hodžić, K. E. Meyer, C. M. Velte
      Pages 163-188
  5. Environmental Flows and Wind Energy

    1. Front Matter
      Pages 189-189
    2. Horia Hangan, Maryam Refan, Chowdhury Jubayer, Dan Parvu, Ryan Kilpatrick
      Pages 215-230
    3. Shawn Martin, Carsten H. Westergaard, Jonathan White
      Pages 231-254
    4. Nicholas Michael Hamilton, Murat Tutkun, Raúl Bayoán Cal
      Pages 255-271
    5. Naseem Ali, Aleksandr S. Aseyev, Matthew S. Melius, Murat Tutkun, Raúl Bayoán Cal
      Pages 273-292
  6. Data Manipulation

    1. Front Matter
      Pages 293-293
    2. Andrew S. Magstadt, Pinqing Kan, Zachary P. Berger, Christopher J. Ruscher, Matthew G. Berry, Melissa A. Green et al.
      Pages 295-322
    3. Zhe Bai, Steven L. Brunton, Bingni W. Brunton, J. Nathan Kutz, Eurika Kaiser, Andreas Spohn et al.
      Pages 323-342
  7. General Aspects of Turbulence

    1. Front Matter
      Pages 363-363
    2. D. Barros, J. Borée, B. R. Noack, A. Spohn, T. Ruiz
      Pages 365-373
    3. F. F. Grinstein, A. J. Wachtor, J. R. Ristorcelli
      Pages 401-420
    4. P. Orlandi, S. Pirozzoli, M. Bernardini, G. F. Carnevale
      Pages 433-450
  8. Four Perspectives on Big Data and the Turbulence Community

    1. Front Matter
      Pages 481-481
    2. Thomas Hacker, Shirley Dyke
      Pages 483-495
    3. Juan A. Sillero, Javier Jiménez
      Pages 509-515
    4. S. Menon, R. Ranjan, J. C. Oefelein
      Pages 517-527
  9. Discussion 1: Challenges in Turbulence in the Twenty-First Century—What Problems We Should Focus On in the Next 20 Years?

    1. Front Matter
      Pages 529-529
  10. Discussion 2: Large Data: Opportunities for Collaborations

    1. Front Matter
      Pages 549-549
    2. Andrew Pollard, Thomas J. Hacker, Shirley Dyke
      Pages 551-574

About this book


This volume provides a snapshot of the current and future trends in turbulence research across a range of disciplines. It provides an overview of the key challenges that face scientific and engineering communities in the context of huge databases of turbulence information currently being generated, yet poorly mined. These challenges include coherent structures and their control, wall turbulence and control, multi-scale turbulence, the impact of turbulence on energy generation and turbulence data manipulation strategies. The motivation for this volume is to assist the reader to make physical sense of these data deluges so as to inform both the research community as well as to advance practical outcomes from what is learned. Outcomes presented in this collection provide industry with information that impacts their activities, such as minimizing impact of wind farms, opportunities for understanding large scale wind events and large eddy simulation of the hydrodynamics of bays and lakes thereby increasing energy efficiencies, and minimizing emissions and noise from jet engines.

  • Elucidates established, contemporary, and novel aspects of fluid turbulence - a ubiquitous yet poorly understood phenomena;
  • Explores computer simulation of turbulence in the context of the emerging, unprecedented profusion of experimental data, which will need to be stewarded and archived;
  • Examines a compendium of problems and issues that investigators can use to help formulate new promising research ideas;
  • Makes the case for why funding agencies and scientists around the world need to lead a global effort to establish and steward large stores of turbulence data, rather than leaving them to individual researchers.


Energy & Turbulence Flow Control Passive and Active High Reynolds Number Flows Jets and Plume Turbulence Turbulence & Industrial Flows Turbulence Structure Turbulence and Big Data Manipulation Turbulent Heat Transfer

Editors and affiliations

  • Andrew Pollard
    • 1
  • Luciano Castillo
    • 2
  • Luminita Danaila
    • 3
  • Mark Glauser
    • 4
  1. 1.Department of Mechanical and Materials EngineeringQueen’s UniversityKingstonCanada
  2. 2.Department of Mechanical EngineeringTexas Tech UniversityLubbockUSA
  3. 3.Department of Mechanical EngineeringUniversity of RouenMont-Saint-AignanFrance
  4. 4.College of Engineering and Computer ScienceSyracuse UniversitySyracuseUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-41215-3
  • Online ISBN 978-3-319-41217-7
  • Buy this book on publisher's site
Industry Sectors
Energy, Utilities & Environment
Oil, Gas & Geosciences