A data-assimilation method for Reynolds-averaged Navier–Stokes-driven mean flow reconstruction

We present a data-assimilation technique based on a variational formulation and a Lagrange multipliers approach to enforce the Navier–Stokes equations. A general operator (referred to as the measure operator) is defined in order to mathematically describe an experimental measure. The presented metho...

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Veröffentlicht in:	Journal of fluid mechanics Jg. 759; H. november; S. 404 - 431
Hauptverfasser:	Foures, Dimitry P. G., Dovetta, Nicolas, Sipp, Denis, Schmid, Peter J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cambridge, UK Cambridge University Press 25.11.2014 Elsevier
Schlagworte:	Algorithms Computational fluid dynamics Computational methods in fluid dynamics Computer simulation Cylinders Data Direct numerical simulation Exact sciences and technology Filtration Flow measurement Fluid dynamics Fluid flow Fluid mechanics Fluids Frameworks Fundamental areas of phenomenology (including applications) Identification methods Lagrange multiplier Mathematical models Mechanics Methods Navier-Stokes equations NMR Nuclear magnetic resonance Physics Problems Reconstruction Reynolds averaged Navier-Stokes method Reynolds number Reynolds stresses Stokes law (fluid mechanics) Two dimensional flow United Kingdom > UK France variational methods general fluid mechanics turbulence modelling Lagrange multiplier Algorithms Computational fluid dynamics Variational methods Digital simulation Modelling System identification Data assimilation Navier-Stokes equations
ISSN:	0022-1120, 0377-0257, 1469-7645
Online-Zugang:	Volltext
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