ZURUECK HOCH VOR INHALT SUCHEN

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Proposing Institution

Max-Planck-Institut für Dynamik und Selbstorganisation
Project Manager

Dr. Dhawal Buaria
Am Fassberg 17
37077 Göttingen
Abstract
Turbulence characterized by disorderly fluctuations spanning a wide range of scales in three dimensional space and time is the most common state of fluid motion in nature and engineering, with applications ranging from atmospheric and oceanic sciences to jet and rocket engines. Despite over a century of research, turbulence still remains an unsolved problem. It is clear that progress in understanding turbulence requires use of theory, experiments and simulations. However in the past decade, exponential increase in computing power has led to increasing opportunities for understanding flow physics at a degree of detail surpassing most experiments.The range of scales in a turbulent flow is typically characterized by the Reynolds number (Re), such that the cost of direct numerical simulation goes as Re^4. Additionally, most applications in nature and engineering occur at very high Reynolds number, making turbulence simulations a grand challenge in high performance computing.

Impressum, Conny Wendler