|
![]() |
|||
|
||||
OverviewFull Product DetailsAuthor: Andrew Pollard , Luciano Castillo , Luminita Danaila , Mark GlauserPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2017 Dimensions: Width: 15.50cm , Height: 3.20cm , Length: 23.50cm Weight: 1.045kg ISBN: 9783319412153ISBN 10: 3319412159 Pages: 574 Publication Date: 07 September 2016 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsPart 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 TheWindEEE 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |