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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.
Engineering. --- Fluids. --- Vibration. --- Dynamical systems. --- Dynamics. --- Fluid mechanics. --- Aerospace engineering. --- Astronautics. --- Vibration, Dynamical Systems, Control. --- Aerospace Technology and Astronautics. --- Engineering Fluid Dynamics. --- Fluid- and Aerodynamics. --- Turbulence. --- Turbulence --- Mathematical models. --- Flow, Turbulent --- Turbulent flow --- Fluid dynamics --- Hydraulic engineering. --- Engineering, Hydraulic --- Engineering --- Fluid mechanics --- Hydraulics --- Shore protection --- Space sciences --- Aeronautics --- Astrodynamics --- Space flight --- Space vehicles --- Cycles --- Mechanics --- Sound --- Physics --- Hydrostatics --- Permeability --- Hydromechanics --- Continuum mechanics --- Aeronautical engineering --- Astronautics --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Statics
Choose an application
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.
Space research --- Astronomy --- Classical mechanics. Field theory --- Fluid mechanics --- Mechanical properties of solids --- Hydraulic energy --- Engineering sciences. Technology --- patroonherkenning --- vloeistofstroming --- aerodynamica --- astronauten --- big data --- ingenieurswetenschappen --- ruimtevaart --- hydraulica --- dynamica --- vloeistoffen --- optica --- anno 2000-2099
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