Literature DB >> 32564716

Dynamics of a long chain in turbulent flows: impact of vortices.

Jason R Picardo1, Rahul Singh2, Samriddhi Sankar Ray2, Dario Vincenzi3.   

Abstract

We show and explain how a long bead-spring chain, immersed in a homogeneous isotropic turbulent flow, preferentially samples vortical flow structures. We begin with an elastic, extensible chain which is stretched out by the flow, up to inertial-range scales. This filamentary object, which is known to preferentially sample the circular coherent vortices of two-dimensional (2D) turbulence, is shown here to also preferentially sample the intense, tubular, vortex filaments of three-dimensional (3D) turbulence. In the 2D case, the chain collapses into a tracer inside vortices. In the 3D case on the contrary, the chain is extended even in vortical regions, which suggests that the chain follows axially stretched tubular vortices by aligning with their axes. This physical picture is confirmed by examining the relative sampling behaviour of the individual beads, and by additional studies on an inextensible chain with adjustable bending-stiffness. A highly flexible, inextensible chain also shows preferential sampling in three dimensions, provided it is longer than the dissipation scale, but not much longer than the vortex tubes. This is true also for 2D turbulence, where a long inextensible chain can occupy vortices by coiling into them. When the chain is made inflexible, however, coiling is prevented and the extent of preferential sampling in two dimensions is considerably reduced. In three dimensions, on the contrary, bending stiffness has no effect, because the chain does not need to coil in order to thread a vortex tube and align with its axis. This article is part of the theme issue 'Fluid dynamics, soft matter and complex systems: recent results and new methods'.

Keywords:  chains; preferential sampling; turbulence

Year:  2020        PMID: 32564716      PMCID: PMC7333946          DOI: 10.1098/rsta.2019.0405

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  7 in total

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Authors:  Erik Gauger; Holger Stark
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2006-08-07

2.  Flexible Fiber Reveals the Two-Point Statistical Properties of Turbulence.

Authors:  Marco Edoardo Rosti; Arash Alizad Banaei; Luca Brandt; Andrea Mazzino
Journal:  Phys Rev Lett       Date:  2018-07-27       Impact factor: 9.161

3.  Preferential Sampling of Elastic Chains in Turbulent Flows.

Authors:  Jason R Picardo; Dario Vincenzi; Nairita Pal; Samriddhi Sankar Ray
Journal:  Phys Rev Lett       Date:  2018-12-14       Impact factor: 9.161

4.  Elastoinertial chains in a two-dimensional turbulent flow.

Authors:  Rahul Singh; Mohit Gupta; Jason R Picardo; Dario Vincenzi; Samriddhi Sankar Ray
Journal:  Phys Rev E       Date:  2020-05       Impact factor: 2.529

5.  Polymer stretching in the inertial range of turbulence.

Authors:  Adeel Ahmad; Dario Vincenzi
Journal:  Phys Rev E       Date:  2016-05-11       Impact factor: 2.529

6.  Flexible fiber in a turbulent flow: a macroscopic polymer.

Authors:  C Brouzet; G Verhille; P Le Gal
Journal:  Phys Rev Lett       Date:  2014-02-20       Impact factor: 9.161

7.  Statistics of polymer extensions in turbulent channel flow.

Authors:  Faranggis Bagheri; Dhrubaditya Mitra; Prasad Perlekar; Luca Brandt
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2012-11-26
  7 in total

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