Výsledky vyhledávání - "D. P. G. Foures"

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

Autor: Nicolas Dovetta, D. P. G. Foures, Peter J. Schmid, Denis Sipp

Publikováno v: Journal of Non-Newtonian Fluid Mechanics
Journal of Non-Newtonian Fluid Mechanics, Elsevier, 2014, 759 (november), pp.404-431. ⟨10.1017/jfm.2014.566⟩

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 d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9322557fc58b322ee906d51a1bc190b2
https://doi.org/10.1017/jfm.2014.566

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Localization of flow structures using -norm optimization

Autor: D. P. G. Foures, C.P. Caulfield, Peter J. Schmid

Publikováno v: Journal of Fluid Mechanics. 729:672-701

Stability theory based on a variational principle and finite-time direct-adjoint optimization commonly relies on the kinetic perturbation energy density ${E}_{1} (t)= (1/ {V}_{\Omega } )\int \nolimits _{\Omega } e(\boldsymbol{x}, t)\hspace{0.167em} \

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3ff797477fb625b7a1cbf036ef867148
https://doi.org/10.1017/jfm.2013.333

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Optimal mixing in two-dimensional plane Poiseuille flow at finite Peclet number

Autor: Colm-cille Caulfield, D. P. G. Foures, Peter J. Schmid

Publikováno v: Journal of Fluid Mechanics
Journal of Fluid Mechanics, Cambridge University Press (CUP), 2014, 748 (june), pp.241-277. ⟨10.1017/jfm.2014.182⟩

We consider the nonlinear optimisation of the mixing of a passive scalar, initially arranged in two layers, in a two-dimensional plane Poiseuille flow at finite Reynolds and Péclet numbers, below the linear instability threshold. We use a nonlinear-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42f4a5a8dcac5af0e5f24906f240136e
https://hal-polytechnique.archives-ouvertes.fr/hal-01050800

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A variational framework for flow optimization using semi-norm constraints

Autor: Peter J. Schmid, D. P. G. Foures, Colm-cille Caulfield

When considering a general system of equations describing the space-time evolution (flow) of one or several variables, the problem of the optimization over a finite period of time of a measure of the state variable at the final time is a problem of g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e791e73c7c47551125e835b59ed7fa34
http://arxiv.org/abs/1202.0650

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Akademický článek

Quantification of laminar mixing efficiency with negative index Sobolev norm.

Autor: Fabisiak, Jakub, Gepner, Stanisław

Publikováno v: Journal of Physics: Conference Series; 2024, Vol. 2899 Issue 1, p1-8, 8p

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Akademický článek

Assimilation of statistical data into turbulent flows using physics-informed neural networks.

Autor: Angriman, Sofía^1,2 (AUTHOR), Cobelli, Pablo^1,2 (AUTHOR), Mininni, Pablo D.^1,2 (AUTHOR), Obligado, Martín³ (AUTHOR), Clark Di Leoni, Patricio⁴ (AUTHOR) pclarkdileoni@udesa.edu.ar

Publikováno v: European Physical Journal E -- Soft Matter. Mar2023, Vol. 46 Issue 3, p1-9. 9p.

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