Whither Turbulence and Big Data in the 21st Century? (eBook)
XVIII, 574 Seiten
Springer International Publishing (Verlag)
978-3-319-41217-7 (ISBN)
- 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.
Part I HISTORICAL PERSPECTIVES.- 1 From Tennekes & Lumley to Townsend and to George a slow march to freedom.- 2 A 50 Year Retrospective and the Future.- Part II TURBULENT BOUNDARY LAYERS.- 3 Study of the streamwise evolution of turbulent boundary layers to high Reynolds numbers.- 4 Towards the direct numerical simulation of a self-similar adverse pressure gradient turbulent boundary layer flow.- 5 Analysis of velocity structures in a transitionally rough turbulent boundary.- 6 Streamwise relaxation of a shock perturbed turbulent.- Part III JETS.- 7 Turbulence and Data Analytics in the 21st Century The Round Free Jet.- 8 The Sound-field Produced by Clustered Rockets During Start up.- 9 Variable Viscosity Jets Entrainment and Mixing Process.- 10 POD Mode Robustness for the Turbulent Jet.- Part IV ENVIRONMENTAL FLOWS AND WIND ENERGY.- 11 Large Eddy Simulation of environmental flows from the laboratory-scale numerical experiments toward full-scale.- 12 Big data from Big experiments The WindEEE Dome.- 13 Visualizing Wind Farm Wakes Using SCADA Data Supplemental Analysis.- 14 Turbulent and Deterministic Stresses in the Near Wake of a Wind Turbine Array.- 15 Evaluation of Higher Order Moments and Isotropy in the Wake of a Wind Turbine Array.- Part V DATA MANIPULATION.- 16 Turbulent Flow Physics and Control The role of big data analyses tools.- 17 Data-driven methods in fluid dynamics Sparse classification from experimental data.- 18 Conversion of measured turbulence spectra from temporal to spatial domain.- 19 Effects of unsteady Coanda blowing on the wake and drag of a simplified blunt vehicle.- 20 Challenges for Large Eddy Simulation of Engineering Flows.- 21 Coarse Grained Simulation and Turbulent Material Mixing.- 22 Non-classical Exponential Decay Regimes in Multi-Scale Generated Isotropic Turbulence.- 23 A minimal flow unit for turbulence, combustion and astrophysics.- 24 Linear Stability Analysis of Compressible Channel Flow with Porous Walls.- 25 Dissipation and topological features conditioned by velocity level-crossings in wall turbulence.-Part VII- Four Perspectives On Big Data and The Turbulence Community.- 26 Cyberinfrastructure to Empower Scientific Research.- 27 Turbulence in the era of Big Data: Recent experiences with sharing large datasets.- 26 Cyberinfrastructure to Empower Scientific Research.- 27 Turbulence in the era of Big Data Recent experiences with sharing large datasets.- Public dissemination of raw turbulence data.- 29 Reacting LES@2030 Near Diskless and Near.- PART VIII-Discussion I-Challenges in Turbulence in the 21st Century – What Problems We Should Focus On in the Next 20 years?.- 30.- Whither Turbulence and Big Data for the 21st Century-I.- Part IX-Discussion 2- Large Data Opportunities for Collaborations.- 31 Whither Turbulence and Big Data for the 21st Century-II.
Erscheint lt. Verlag | 30.8.2016 |
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Zusatzinfo | XVIII, 574 p. 274 illus., 192 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Themenwelt | Naturwissenschaften ► Physik / Astronomie |
Technik ► Bauwesen | |
Technik ► Luft- / Raumfahrttechnik | |
Technik ► Maschinenbau | |
Schlagworte | Energy & Turbulence • Flow Control Passive and Active • fluid- and aerodynamics • High Reynolds Number Flows • Jets and Plume • Turbulence • Turbulence & Industrial Flows • Turbulence and Big Data Manipulation • Turbulence Structure • turbulent heat transfer |
ISBN-10 | 3-319-41217-5 / 3319412175 |
ISBN-13 | 978-3-319-41217-7 / 9783319412177 |
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