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Deformation of flexible fibers in turbulent channel flow

Dotto D.
•
Soldati A.
•
Marchioli C.
2019
  • journal article

Periodico
MECCANICA
Abstract
In this paper, we examine from a statistical point of view the deformation of flexible fibers in turbulent channel flow. Fibers are longer than the Kolmogorov length scale of the carrier flow and have finite inertia. Our aim is to examine the effect of local shear and turbulence anisotropy on fiber twisting and bending, when shape effects add to the inertial bias. To these aims, we use an Eulerian–Lagrangian approach based on direct numerical simulation of turbulence in dilute flow conditions. Fibers are modelled as chains of sub-Kolmogorov rods (referred to as elements hereinafter) interconnected by holonomic constraints that enable relative rotation of neighbouring elements. Statistics are computed from simulations at shear Reynolds number Re=150, based on the channel half height, for fibers with different aspect ratio, lambda_r (defined as the ratio between the length l_r of each element r composing the fiber and its cross-sectional radius, a), and different inertia, parameterized by the Stokes number of the element, St_r . We show that bending of flexible fibers is in general stronger in the bulk of the flow, where they are subject to turbulent velocity fluctuations only. Near the wall, fibers are more easily stretched by the mean shear, especially for large-enough inertia (St_r=5 in our simulations). In spite of this different dynamics, which is connected to the anisotropy of the flow, we find that the fiber end-to-end distance reaches a steady state regardless of fiber location with respect to the wall.
DOI
10.1007/s11012-019-01074-4
WOS
WOS:000495932400002
Archivio
http://hdl.handle.net/11390/1171271
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85075205363
https://rd.springer.com/journal/11012
Diritti
closed access
Soggetti
  • Deformation statistic...

  • Direct numerical simu...

  • Flexible fiber

  • Lagrangian tracking

  • Wall turbulence

Scopus© citazioni
10
Data di acquisizione
Jun 14, 2022
Vedi dettagli
Web of Science© citazioni
19
Data di acquisizione
Mar 25, 2024
Visualizzazioni
10
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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