Whither turbulence and big data in the 21st century? /

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,...

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Bibliographic Details
Corporate Authors: SpringerLink Online service
Group Author: Pollard, Andrew; Castillo, Luciano; Danaila, Luminita; Glauser, Mark
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-319-41217-7
Summary: 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
Carrier Form: 1 online resource(xviii,574pages): illustrations
ISBN: 9783319412177
Index Number: TA355
CLC: O357.5
Contents: 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 t