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Whither Turbulence and Big Data in the 21st Century?

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Cover of 'Whither Turbulence and Big Data in the 21st Century?'

Table of Contents

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    Book Overview
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    Chapter 1 From Tennekes and Lumley to Townsend and to George: A Slow March to Freedom
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    Chapter 2 A 50-Year Retrospective and the Future
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    Chapter 3 Study of the Streamwise Evolution of Turbulent Boundary Layers to High Reynolds Numbers
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    Chapter 4 Towards the Direct Numerical Simulation of a Self-similar Adverse Pressure Gradient Turbulent Boundary Layer Flow
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    Chapter 5 Analysis of Velocity Structures in a Transitionally Rough Turbulent Boundary Layer
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    Chapter 6 Streamwise Relaxation of a Shock Perturbed Turbulent Boundary Layer
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    Chapter 7 Turbulence and Data Analytics in the Twenty-First Century: The Round Free Jet
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    Chapter 8 The Sound-Field Produced by Clustered Rockets During Start-Up
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    Chapter 9 Variable Viscosity Jets: Entrainment and Mixing Process
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    Chapter 10 POD Mode Robustness for the Turbulent Jet Sampled with PIV
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    Chapter 11 Large Eddy Simulation of Environmental Flows: From the Laboratory-Scale Numerical Experiments Toward Full-Scale Applications
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    Chapter 12 Big Data from Big Experiments. The WindEEE Dome
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    Chapter 13 Visualizing Wind Farm Wakes Using SCADA Data
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    Chapter 14 Turbulent and Deterministic Stresses in the Near Wake of a Wind Turbine Array
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    Chapter 15 Evaluation of Higher Order Moments and Isotropy in the Wake of a Wind Turbine Array
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    Chapter 16 Turbulent Flow Physics and Control: The Role of Big Data Analyses Tools
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    Chapter 17 Data-Driven Methods in Fluid Dynamics: Sparse Classification from Experimental Data
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    Chapter 18 Conversion of Measured Turbulence Spectra from Temporal to Spatial Domain
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    Chapter 19 Effects of Unsteady Coanda Blowing on the Wake and Drag of a Simplified Blunt Vehicle
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    Chapter 20 Challenges for Large Eddy Simulation of Engineering Flows
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    Chapter 21 Coarse Grained Simulation and Turbulent Material Mixing
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    Chapter 22 Non-classical/Exponential Decay Regimes in Multiscale Generated Isotropic Turbulence
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    Chapter 23 A Minimal Flow Unit for Turbulence, Combustion, and Astrophysics
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    Chapter 24 Linear Stability Analysis of Compressible Channel Flow over Porous Walls
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    Chapter 25 Dissipation and Topological Features Conditioned by Velocity Level-Crossings in Wall Turbulence
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    Chapter 26 Cyberinfrastructure to Empower Scientific Research
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    Chapter 27 Turbulence in the Era of Big Data: Recent Experiences with Sharing Large Datasets
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    Chapter 28 Public Dissemination of Raw Turbulence Data
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    Chapter 29 Reacting LES@2030: Near Diskless and Near Real-Time Computing for Design?
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    Chapter 30 Whither Turbulence and Big Data for the Twenty-First Century
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    Chapter 31 Whither Turbulence and Big Data for the Twenty-First Century
Overall attention for this book and its chapters
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1 tweeter
1 Wikipedia page


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Whither Turbulence and Big Data in the 21st Century?
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-41217-7
978-3-31-941215-3, 978-3-31-941217-7

Andrew Pollard, Luciano Castillo, Luminita Danaila, Mark Glauser

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Unknown 93 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 24%
Researcher 13 14%
Student > Master 10 11%
Student > Doctoral Student 6 6%
Student > Bachelor 4 4%
Other 18 19%
Unknown 20 21%
Readers by discipline Count As %
Engineering 46 49%
Computer Science 5 5%
Physics and Astronomy 5 5%
Mathematics 2 2%
Energy 2 2%
Other 6 6%
Unknown 28 30%