Homogeneous Turbulence Dynamics

Chapter 15: Conclusions and Perspectives

Description and knowledge of turbulent flows is advancing well, particularly with the increasing development of numerical resources (Moore s law) and detailed measurements using more and more particle image velocimetry (PIV), stereoscopic particle image velocimetry (SPIV), and particle tracking velocimetry (PTV). Well-documented databases are created that can support techniques of data compression using a dramatically reduced number of modes (POD, wavelet coefficients, master modes, etc.).

Behind this attractive show window, however, the advance of our conceptual understanding of turbulent flows is much less satisfactory. Advances in numerics, experiments, data-compression schemes, are first beneficial to applied studies, for instance those using a smart combination of techniques (often referred to as multi-physics, with hybrid RANS LES methods, and many others). Turbulent flows are well reproduced in the vicinity of a well-documented design-point, but this modeling is questioned far from it ( far in the parameter s space, or simply in elapsed time for unsteady processes). Efficiency of data-compression schemes, for instance, is ellusive because a low-dimension set of modes, identified and validated near the design-point, can lose its relevance far from it.

We hope that this book will contribute to an honest and up-to-date survey of turbulence theory, with the special purpose of reconciling different angles of attack. In this sense, the atomization of the community into competing, and/or too (deliberately) self-isolating, chapels, is perhaps one of the main impediments for advancing theory. The difference of parlances or jargons is a related aspect, despite the universality of the mathematical formalism.

15.1 Homogenization of Turbulence. Local...

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