Prospectus: towards the development of high-fidelity models of wall turbulence at large Reynolds number.
Recent and on-going advances in mathematical methods and analysis techniques, coupled with the experimental and computational capacity to capture detailed flow structure at increasingly large Reynolds numbers, afford an unprecedented opportunity to develop realistic models of high Reynolds number turbulent wall-flow dynamics. A distinctive attribute of this new generation of models is their grounding in the Navier-Stokes equations. By adhering to this challenging constraint, high-fidelity models ultimately can be developed that not only predict flow properties at high Reynolds numbers, but that possess a mathematical structure that faithfully captures the underlying flow physics. These first-principles models are needed, for example, to reliably manipulate flow behaviours at extreme Reynolds numbers. This theme issue of Philosophical Transactions of the Royal Society A provides a selection of contributions from the community of researchers who are working towards the development of such models. Broadly speaking, the research topics represented herein report on dynamical structure, mechanisms and transport; scale interactions and self-similarity; model reductions that restrict nonlinear interactions; and modern asymptotic theories. In this prospectus, the challenges associated with modelling turbulent wall-flows at large Reynolds numbers are briefly outlined, and the connections between the contributing papers are highlighted.This article is part of the themed issue 'Toward the development of high-fidelity models of wall turbulence at large Reynolds number'.
Department of Mechanical Engineering, University of New Hampshire, Durham, NH 03824, USA joe.klewicki@unh.edu.|Integrated Applied Mathematics Program, University of New Hampshire, Durham, NH 03824, USA.|Department of Mechanical Engineering, University of Melbourne, Melbourne, Victoria 3010, Australia.
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Klewicki
Department of Mechanical Engineering, University of New Hampshire, Durham, NH 03824, USA.|Integrated Applied Mathematics Program, University of New Hampshire, Durham, NH 03824, USA.
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Chini
Integrated Applied Mathematics Program, University of New Hampshire, Durham, NH 03824, USA.|Department of Mathematics and Statistics, University of New Hampshire, Durham, NH 03824, USA.
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JF
Gibson
Navier–Stokes; reduced models; wall turbulence